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T7: 6G Wireless Channel Measurements and Modeling for All Frequency Bands and All Scenarios

T7: 6G Wireless Channel Measurements and Modeling for All Frequency Bands and All Scenarios

Co-Organizer: Cheng-Xiang Wang, Southwest University and Purple Mountain Laboratories, China
Co-Organizer: Jie Huang, Southwest University and Purple Mountain Laboratories, China
Co-Organizer: Haiming Wang, Southwest University and Purple Mountain Laboratories, China
Co-Organizer: Harald Haas, University of Strathclyde, UK

Abstract: This tutorial is intended to offer a comprehensive and in-depth course to communication professionals/academics, aiming to address the vision, performance metrics, key technologies, and fundamental theory revolution of sixth generation (6G) wireless communication networks. The 6G vision and paradigm shifts are summarized as global coverage, all spectra, full applications, all senses, all digitals, and strong security, which would bring new performance metrics and requirements. To meet these requirements, 6G networks will rely on novel key technologies, i.e., air interface and transmission technologies and network architecture. The underlying 6G wireless channels will face new channel characteristics, such as space-time frequency non-stationarities, which need to be thoroughly studied. We present our works on channel measurements and models for challenging 6G scenarios and frequency bands, focusing on millimeter wave (mmWave), terahertz (THz), and optical wireless communication channels under all spectra, satellite, unmanned aerial vehicle (UAV), and maritime communication channels under global coverage scenarios, and high-speed train (HST), vehicle-to-vehicle (V2V), ultra-massive multiple-input multiple-output (MIMO), industry Internet of things (IoT), and reconfigurable intelligent surface (RIS) communication channels under full application scenarios. New machine learning based predictive channel models will also be investigated. A general non-predictive 6G pervasive channel model will then be proposed, which is expected to serve as a baseline for future standardized 6G channel models. In addition, a novel circuit-based channel model is proposed to illustrate the potential of electromagnetic information theory.

Cheng-Xiang Wang

Bio: Cheng-Xiang Wang received the B.Sc. and M.Eng. degrees in Communication and Information Systems from Shandong University, China, in 1997 and 2000, respectively, and the Ph.D. degree in Wireless Communications from Aalborg University, Denmark, in 2004.

He was a Research Assistant with the Hamburg University of Technology, Hamburg, Germany, from 2000 to 2001, a Visiting Researcher with Siemens AG Mobile Phones, Munich, Germany, in 2004, and a Research Fellow with the University of Agder, Grimstad, Norway, from 2001 to 2005. He has been with Heriot-Watt University, Edinburgh, U.K., since 2005, where he was promoted to a Professor in 2011. In 2018, he joined Southeast University, China, as a Professor. He is also a part-time professor with the Purple Mountain Laboratories, Nanjing, China. He has authored four books, two book chapters, and more than 400 papers in refereed journals and conference proceedings, including 24 Highly Cited Papers. He has also delivered 22 Invited Keynote Speeches/Talks and 7 Tutorials in international conferences. His current research interests include wireless channel measurements and modeling, B5G wireless communication networks, and applying artificial intelligence to wireless communication networks.

Prof. Wang is a Member of the Academia Europaea (The Academy of Europe), a Fellow of the IEEE, IET, and China Institute of Communication (CIC), an IEEE Communications Society Distinguished Lecturer in 2019 and 2020, and a Highly-Cited Researcher recognized by Clarivate Analytics in 2017-2020. He is currently an Executive Editorial Committee Member of the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. He has served as an Editor for nine international journals, including the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, from 2007 to 2009, the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, from 2011 to 2017, and the IEEE TRANSACTIONS ON COMMUNICATIONS, from 2015 to 2017. He was a Guest Editor of the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, Special Issue on Vehicular Communications and Networks (Lead Guest Editor), Special Issue on Spectrum and Energy Efficient Design of Wireless Communication Networks, and Special Issue on Airborne Communication Networks. He was also a Guest Editor for the IEEE TRANSACTIONS ON BIG DATA, Special Issue on Wireless Big Data, and is a Guest Editor for the IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, Special Issue on Intelligent Resource Management for 5G and Beyond. He has served as a TPC Member, a TPC Chair, and a General Chair for more than 80 international conferences. He received 14 Best Paper Awards from IEEE GLOBECOM 2010, IEEE ICCT 2011, ITST 2012, IEEE VTC 2013-Spring, IWCMC 2015, IWCMC 2016, IEEE/CIC ICCC 2016, WPMC 2016, WOCC 2019, IWCMC 2020, WCSP 2020, CSPS2021, and WCSP 2021. Also, he received the 2020 & 2021 “AI 2000 Most Inuential Scholar Award Honorable Mention” in recognition of his outstanding and vibrant contributions in the field of Internet of Things.

Jie Huang

Bio: Jie Huang received the B.E. degree in Information Engineering from Xidian University, China, in 2013, and the Ph.D. degree in Information and Communication Engineering from Shandong University, China, in 2018.

From Oct. 2018 to Oct. 2020, he was a Postdoctoral Research Associate in the National Mobile Communications Research Laboratory, Southeast University, China, supported by the National Postdoctoral Program for Innovative Talents. From Jan. 2019 to Feb. 2020, he was a Postdoctoral Research Associate in Durham University, U.K. Since Mar. 2019, he is a part-time researcher in Purple Mountain Laboratories, China. Since Nov. 2020, he is an Associate Professor in the National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, China.

He received the Best Paper Awards from WPMC 2016, WCSP 2020, and WCSP 2021. His research interests include millimeter wave, massive MIMO, reconfigurable intelligent surface channel measurements and modeling, wireless big data, and 6G wireless communications.

Haiming Wang

Bio: Haiming Wang received the B.Eng., M.S., and Ph.D. degrees in Electrical Engineering from Southeast University, Nanjing, China, in 1999, 2002, and 2009, respectively. Since 2002, he has been with the State Key Laboratory of Millimeter Waves, School of Information Science and Engineering, Southeast University, China, and he is currently a distinguished professor. He is also a part-time professor with the Purple Mountain Laboratories, Nanjing, China. In 2008, he was a Visiting Scholar with the Blekinge Institute of Technology (BTH), Sweden.

He has authored and co-authored over 50 journal papers in IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION and other peer-reviewed academic journals. Prof. Wang has authored and co-authored over more than 70 patents and 52 patents have been granted. He was awarded twice for contributing to the development of IEEE 802.11aj by the IEEE Standards Association in 2018 and 2020. He received the first-class Science and Technology Progress Award of Jiangsu Province of China in 2009 and was awarded for contributing to the development of IEEE 802.11aj by the IEEE-SA in 2018. His current research interests include AI-powered antenna and radiofrequency technologies (iART), AI-powered channel measurement and modeling technologies (iCHAMM), and integrated communications and sensing (iCAS). He served as the TPC member or the session chair of many international conferences such as IEEE ICCT 2011, IEEE IWS 2013, and IEEE VTC 2016.

Harald Haas

Bio: Harald Haas received the Ph.D. degree in wireless communications from the University of Edinburgh, Edinburgh, U.K., in 2001. He is the Director of the LiFi Research and Development Centre at the University of Strathclyde. He is also the Initiator, co-founder and Chief Scientific Officer of pureLiFi Ltd. He has authored 550 conference and journal papers, including papers in Science and Nature Communications. His main research interests are in optical wireless communications, hybrid optical wireless and RF communications, spatial modulation, and interference coordination in wireless networks. His team invented spatial modulation. He introduced LiFi to the public at an invited TED Global talk in 2011. This talk on Wireless Data from Every Light Bulb has been watched online over 2.72 million times. LiFi was listed among the 50 best inventions in TIME Magazine in 2011. He gave a second TED Global lecture in 2015 on the use of solar cells as LiFi data detectors and energy harvesters. This has been viewed online over 2.75 million times. In 2016, he received the Outstanding Achievement Award from the International Solid State Lighting Alliance. In 2019 he was recipient of IEEE Vehicular Society James Evans Avant Garde Award. Haas was elected a Fellow of the Royal Society of Edinburgh (RSE) in 2017. In the same year he received a Royal Society Wolfson Research Merit Award and was elevated to IEEE Fellow. In 2018 he received a three-year EPSRC Established Career Fellowship extension and was elected Fellow of the IET. Haas was elected Fellow of the Royal Academy of Engineering (FREng) in 2019.

T3: OTFS and Delay Doppler Communications

T3: OTFS and Delay Doppler Communications

Co-Organizer: Emanuele Viterbo, Monash University, Australia
Co-Organizer: Yi Hong, Monash University, Australia
Co-Organizer: Tharaj Thaj, Monash University, Australia

Abstract: Emerging mass transportation systems – such as self-driving cars, high-speed trains, drones, flying cars, and supersonic flight – will challenge the design of future wireless networks due to high-mobility environments: a large number of high-mobility users require high data rates and low latencies. The physical layer modulation technique is a key design component to meet the system requirements of high mobility.

Currently, orthogonal frequency division multiplexing (OFDM) is the modulation scheme deployed in 4G-5G mobile networks, where the wireless channel typically exhibits time-varying multipath fading. OFDM can only achieve a near-capacity performance over a doubly dispersive channel with a low Doppler effect, but suffers heavy degradations under high Doppler conditions, typically found in high-mobility environments.

Orthogonal time frequency space (OTFS) modulation has been recently proposed by Hadani et al. at WCNC’17, San Francisco. It was shown to provide significant advantages over OFDM in doubly dispersive channels. The OTFS waveform is based on the idea that the mobile wireless channels can be effectively modelled in the delay-Doppler domain. This domain provides a sparse representation closely resembling the physical geometry of the wireless channel.

This tutorial will introduce the general notion of delay-Doppler communications, starting from the fundamental theory of the Zak transform.

Then the transceiver architecture for detection and channel estimation will be presented. Finally, a software defined radio implementation will be shown.

 

Emanuele Viterbo

Bio: Emanuele Viterbo (F’2011) received his degree (Laurea) in Electrical Engineering in 1989 and his Ph.D. in 1995 in Electrical Engineering, both from the Politecnico di Torino, Torino, Italy. From 1990 to 1992 he was with the European Patent Office, The Hague, The Netherlands, as a patent examiner in the field of dynamic recording and error-control coding. Between 1995 and 1997 he held a post-doctoral position in the Dipartimento di Elettronica of the Politecnico di Torino. In 1997-98 he was a postdoctoral research fellow in the Information Sciences Research Center of AT\&T Research, Florham Park, NJ, USA. He became first Assistant Professor (1998) then Associate Professor (2005) in Dipartimento di Elettronica at Politecnico di Torino. In 2006 he became Full Professor in DEIS at University of Calabria, Italy. From September 2010 he is Professor in the ECSE Department and Associate Dean Graduate Research of the Faculty of Engineering at Monash University, Melbourne, Australia.

Emanuele Viterbo is a 2011 Fellow of the IEEE, an ISI Highly Cited Researcher and Member of the Board of Governors of the IEEE Information Theory Society (2011-2013 and 2014-2018). He served as Associate Editor of IEEE Transactions on Information Theory, European Transactions on Telecommunications and Journal of Communications and Networks. His main research interests are in lattice codes for the Gaussian and fading channels, algebraic coding theory, algebraic space-time coding, digital terrestrial television broadcasting, and digital magnetic recording.

 

Yi Hong

Bio: Yi Hong (S’00–M’05–SM’10) is currently an Associate Professor in the Department of Electrical and Computer Systems Eng. at Monash University, Melbourne, Australia. She obtained her Ph.D. degree in Electrical Engineering and Telecommunications from the University of New South Wales (UNSW), Sydney, and received the NICTA-ACoRN Earlier Career Researcher Award at the Australian Communication Theory Workshop, Adelaide, Australia, 2007. Dr. Hong was an Associate Editor for IEEE Wireless Communication Letters and Transactions on Emerging Telecommunications Technologies (ETT). She was the General Co-Chair of IEEE Information Theory Workshop 2014, Hobart; the Technical Program Committee Chair of Australian Communications Theory Workshop 2011, Melbourne; and the Publicity Chair at the IEEE Information Theory Workshop 2009, Sicily. She was a Technical Program Committee member for many IEEE leading conferences. Her research interests include communication theory, coding and information theory with applications to telecommunication engineering.

 

Tharaj Thaj

Bio: Tharaj Thaj received the B.Tech. degree in electronics and communication engineering from the National Institute of Technology, Calicut, India, in 2012, and the M.Tech. degree in telecommunication systems engineering from the Indian Institute of Technology, Kharagpur, India in 2015. He is currently working toward the Ph.D. degree with the Department of Electrical and Computer Systems Engineering, Monash University, Australia. From 2012 to 2013, he was with Verizon Data Services India, Chennai, as a Software Engineer, focusing on network layer routing algorithms and protocols. From 2015 to 2017, he worked as a Senior Engineer with the Communication, Navigation and Surveillance (CNS) Department of Honeywell Technology Solutions Lab, Bengaluru. His current research interests include physical layer design and implementation of wireless communication systems for next generation wireless networks.

T5: Semantic Communications: Transmission beyond Shannon Paradigm

T5: Semantic Communications: Transmission beyond Shannon Paradigm

Co-Organizer: Geoffrey Ye Li, Imperial College London, UK
Co-Organizer: Zhijin Qin, Queen Mary University of London, UK

Abstract: Shannon and Weaver categorized communications into three levels:
• Level A. How accurately can the symbols of communication be transmitted?
• Level B. How precisely do the transmitted symbols convey the desired meaning?
• Level C. How effectively does the received meaning affect conduct in the desired way?
In the past decades, researchers primarily focus level A communications. With the development of cellular communication systems, the achieved transmission rate has been improved tens of thousands of times and the system capacity is gradually approaching to the Shannon limit. Semantic communications have been regarded as a promising direction to improve the system efficiency and reduce the data traffic so that to realize the level B or even level C communications. Semantic communications aim to realize the successful semantic information transmission that is relevant to the transmission task at the receiver. In this tutorial, we first introduce the concept of the semantic communications and a general model of it. We then detail the principles and performance metrics of semantic communications. Afterwards, we present the initial work on deep learning enabled semantic communications for different sources, multi-user semantic communication systems, and green semantic communications. Finally, we identify the research challenges in semantic communications.

 

Geoffrey Ye Li

Bio: Geoffrey Ye Li is currently a Chair Professor at Imperial College London, UK.  Before moving to Imperial in 2020, he was a Professor with Georgia Institute of Technology, USA, for 20 years and a Principal Technical Staff Member with AT&T Labs – Research in New Jersey, USA, for five years. His general research interests include statistical signal processing and machine learning for wireless communications. In the related areas, he has published over 600 journal and conference papers in addition to over 40 granted patents and several books. His publications have been cited over 50,000 times with an H-index over 100 and he has been recognized as a Highly Cited Researcher, by Thomson Reuters, almost every year.

Dr. Geoffrey Ye Li was awarded IEEE Fellow and IET Fellow for his contributions to signal processing for wireless communications. He won several prestigious awards from IEEE Signal Processing Society (Donald G. Fink Overview Paper Award in 2017), IEEE Vehicular Technology Society (James Evans Avant Garde Award in 2013 and Jack Neubauer Memorial Award in 2014), and IEEE Communications Society (Stephen O. Rice Prize Paper Award in 2013, Award for Advances in Communication in 2017, and Edwin Howard Armstrong Achievement Award in 2019). He also received the 2015 Distinguished ECE Faculty Achievement Award from Georgia Tech.

He has been involved in editorial activities for over 20 technical journals, including the founding Editor-in-Chief of IEEE JSAC Special Series on ML in Communications and Networking. He has organized and chaired many international conferences, including technical program vice-chair of the IEEE ICC’03, general co-chair of the IEEE GlobalSIP’14, the IEEE VTC’19 (Fall), and the IEEE SPAWC’20.

 

Zhijin Qin

Bio: Dr. Zhijin Qin is a Lecturer (Assistant Professor) at Queen Mary University of London since 2018. She was with Lancaster University as a Lecturer and Imperial College London as a research associate from 2016 to 2018. Her current research interest falls into semantic communications. She is serving as the guest editor of IEEE JSAC special issues on semantic communications, area editor of IEEE JSAC Series, and associate editor of IEEE Transactions on Communications. She has served as the co-chair of the 1st workshop on semantic communications at IEEE ICC 2022 and the symposium co-chair of IEEE GLOBECOM 2020/2021. She received 2017 IEEE GLOBECOM Best Paper Award, 2018 IEEE Signal Processing Society Young Author Best Paper Award, and 2021 IEEE SPCC Early Achievement Award.

W22: The Ninth IEEE International Workshop on Security and Privacy for Internet of Things and Cyber-Physical Systems (IoT/CPSSecurity 2022)

This Workshop has moved to virtual only.

W22: The Ninth IEEE International Workshop on Security and Privacy for Internet of Things and Cyber-Physical Systems (IoT/CPSSecurity 2022)

Co-chair: Houbing Song, Embry-Riddle Aeronautical University, USA
Co-chair: Qinghe Du, Xi’an Jiaotong University, China
Co-chair: Xiao Tang, Northwestern Polytechnical University, China
Co-chair: Michal Kedziora, Wroclaw University of Science and Technology, Poland

Keynote Speaker: Batalla Jordi, Warsaw University of Technology, Poland
Keynote Speaker: Constandinos Mavromoustakis, University of Nicosia, Cyprus
Keynote Speaker: Justus Renkhoff, Embry-Riddle Aeronautical University, USA
Keynote Speaker: Muhammad Adil, University at Buffalo, USA
Keynote Speaker: Xiaolin Xu, Northeastern University, USA

Abstract: Recent advances in networking, communications, computation, software, and hardware technologies have revolutionized the way humans, smart things, and engineered systems interact and exchange information. The Internet of Things (IoT) and Cyber-Physical Systems (CPS), which are the major contributors to this area, will fuel the realization of this new, globally interconnected cyber-world. Yet, the success, prosperity, and advancement of IoT and CPS systems strongly depend on the security, privacy and trust of the IoT and cyber-physical devices as well as the sensitive data being exchanged. While these technologies offer a lot of new possibilities, the increasing complexity of hardware and software as well as the worldwide access increase the vulnerability to security attacks. Successful attacks targeted to IoT devices and CPS systems have in common that not only a single computer is affected, but also interconnected technical systems allowing interaction with the physical world are influenced leading to malfunction of devices and control systems with severe financial, environmental and health losses. This fact highlights the need to develop novel tools that will constitute the heart of a much-needed science of security for IoT and CPS and will assist in building resilient, secure, and dependable networked systems. The goal of the IoT/CPS-Security 2022 workshop is to bring together internationally leading academic and industrial researchers in an effort to identify and discuss the major technical challenges and recent results aimed at addressing all aspects of security and privacy for IoT and CPS.

Co-chairs Bios:

Houbing Song

Bio: Houbing Song (M’12–SM’14) received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012. In August 2017, he joined the Department of Electrical Engineering and Computer Science, Embry-Riddle Aeronautical University, Daytona Beach, FL, where he is currently an Assistant Professor and the Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us). He has served as an Associate Technical Editor for IEEE Communications Magazine (2017-present), an Associate Editor for IEEE Internet of Things Journal (2020- present), IEEE Transactions on Intelligent Transportation Systems (2021-present), and IEEE Journal on Miniaturization for Air and Space Systems (J-MASS) (2020-present), and a Guest Editor for IEEE Journal on Selected Areas in Communications (JSAC), IEEE Internet of Things Journal, IEEE Network, IEEE Transactions on Industrial Informatics, IEEE Sensors Journal, IEEE Transactions on Intelligent Transportation Systems, and IEEE Journal of Biomedical and Health Informatics. He is the editor of six books, including Big Data Analytics for Cyber-Physical Systems: Machine Learning for the Internet of Things, Elsevier, 2019, Smart Cities: Foundations, Principles and Applications, Hoboken, NJ: Wiley, 2017, Security and Privacy in Cyber-Physical Systems: Foundations, Principles and Applications, Chichester, UK: Wiley-IEEE Press, 2017, Cyber-Physical Systems: Foundations, Principles and Applications, Boston, MA: Academic Press, 2016, and Industrial Internet of Things: Cybermanufacturing Systems, Cham, Switzerland: Springer, 2016. He is the author of more than 100 articles. His research interests include cyber-physical systems, cybersecurity and privacy, internet of things, edge computing, AI/machine learning, big data analytics, unmanned aircraft systems, connected vehicle, smart and connected health, and wireless communications and networking. His research has been featured by popular news media outlets, including IEEE GlobalSpec’s Engineering360, Association for Unmanned Vehicle Systems International (AUVSI), Fox News, USA Today, U.S. News & World Report, Forbes, The Washington Times, WFTV, and New Atlas. Dr. Song is a senior member of ACM and an ACM Distinguished Speaker. Dr. Song was a recipient of the Best Paper Award from the 12th IEEE International Conference on Cyber, Physical and Social Computing (CPSCom-2019), the Best Paper Award from the 2nd IEEE International Conference on Industrial Internet (ICII 2019), the Best Paper Award from the 19th Integrated Communication, Navigation and Surveillance technologies (ICNS 2019) Conference, the Best Paper Award from the 6th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2020), and the Best Paper Award from the 15th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2020).

Qinghe Du

Bio: Qinghe Du received his B.S. and M.S. degrees both from Xi’an Jiaotong University, China, and his Ph.D. degree from Texas A&M University, USA. He is currently a Professor at School of Information and Communications Engineering, Xi’an Jiaotong University, China. His research interests include mobile wireless communications and networking with emphasis on 5G/6G technologies, physical-layer security, machine learning, statistical QoS provisioning, signal processing, and cognitive radio networks. He has published more than 150 technical papers in the above areas. He received the Best Paper Awards in IEEE GLOBECOM 2007, IEEE ComComAP 2019, and IEEE/CIC ICCC 2021, respectively, and received the Best Paper Awards in China Communications in 2017 and 2020, respectively. He serves or has served as an Associate Editor of IEEE Communications Letters, an Area Editor of KSII Transactions on Internet and Information Systems, and an Editor of Electronics. He was the technical program committee chair of the IEEE/CIC ICCC International Workshop on Internet of Things and its proceeding versions in 2013-2017. He served as the Co-Chairs for Frontiers in Cyber-Physical Systems Track of International Conference on Identification, Information & Knowledge in the Internet of Things from 2016 to 2021. He was the Publicity Chairs of IEEE GLOBECOM 2011, ICST QShine 2010, WICON 2011, and IEEE ICC 2015 Workshop on IoT/CPS Security

Xiao Tang

Bio: Xiao Tang received his B.S. degree in Information Engineering (Elite Class Named After Tsien Hsue-shen) and Ph.D. degree in Information and Communication Engineering from Xi’an Jiaotong University in 2011 and 2018, respectively. From September 2015 to August 2016, he worked as a visiting student at the Department of Electrical and Computer Engineering in University of Houston. He is now with the Department of Communication Engineering in Northwestern Polytechnical University. His research interests include wireless communications and networking, game theory, and physical layer security.

Michal Kedziora

Bio: Michal Kedziora is Assistant Professor at Wroclaw University of Science and Technology – Faculty of Computer Science and Management, Department of Software Engineering, Security and Reliability of Information Systems Lab. His research interests include Computer Security, Cryptography, Digital forensics, Blockchain and Artificial Intelligence Algorithms. Experienced IT Security Professional and Digital Forensics Investigator. Many years working in public and private sector, including being Law Enforcement Officer and Digital Forensic Court Expert. His IT Security knowledge and skills are backed up by the following certifications: CISSP, Certified Ethical Hacker, CompTIA Security+, EnCE.

Deadlines:
Workshop paper submissions due EXTENDED: 23 March 2022
Acceptance notification: 17 April 2022
Final paper submission due: 1 May 2022

To submit a paper to this workshop, please visit: https://vtc2022s-rr-wks.trackchair.com/track/2056

W21: 2nd Workshop on Intelligent IoT Connectivity, Automation and Applications (ICA)

W21: 2nd Workshop on Intelligent IoT Connectivity, Automation and Applications (ICA)

Co-chair: Jinho Choi, Deakin University, Australia
Co-chair: Seong-Lyun Kim, Yonsei University, Korea
Co-chair: Jihong Park, Deakin University, Australia

Keynote Speaker: Fumiyuki Adachi, Tohoku University, Japan

Abstract: The importance of the Internet of Things (IoT) has been ever-growing in tandem with its fostering new business growth and supporting a myriad of applications, ranging from environment monitoring and factory automation to connected autonomous vehicles (CAVs). Meanwhile, since 6G is genuinely about connecting everything and communication for machines, the role of IoT will be even more crucial. In essence, the success of such high-stake IoT applications rests heavily on efficient connectivity technologies. In 5G (Release 16 and 17), machine-type communication (MTC) and ultra-reliable and low-latency communication (URLLC) have been considered to support various IoT applications, and non-terrestrial networks (NTNs) are to significantly extend the scalability and the types of IoT applications in beyond 5G and 6G. At the other end of the spectrum, recent advances in distributed machine learning (e.g., federated learning) has transformed IoT applications from their prosaic and pre-programmed nature to intelligent and automated operations, enabling efficient local data collection, understanding the semantics of local environmental changes, and finally immediate responses to unforeseen events and emergencies. While IoT connectivity technologies and applications have made progress differently and separately, co designing the connectivity and applications can push the both frontiers and even create a synergetic effect particularly under limited radio spectrum shared by a large number of IoT nodes. This workshop is to discuss advancements in the aforementioned areas.

Co-chair Bios:

 

Jinho Choi

Bio: Jinho Choi was born in Seoul, Korea. He received B.E. (magna cum laude) degree in electronics engineering in 1989 from Sogang University, Seoul, and M.S.E. and Ph.D. degrees in electrical engineering from Korea Advanced Institute of Science and Technology (KAIST) in 1991 and 1994, respectively. He is with the School of Information Technology, Burwood, Deakin University, Australia, as a Professor. Prior to joining Deakin in 2018, he was with Swansea University, United Kingdom, as a Professor/Chair in Wireless, and Gwangju Institute of Science and Technology (GIST), Korea, as a Professor. His research interests include the Internet of Things (IoT), wireless communications, and statistical signal processing. He authored two books published by Cambridge University Press in 2006 and 2010. Prof. Choi received a number of best paper awards including the 1999 Best Paper Award for Signal Processing from EURASIP. He is on the list of World’s Top 2% Scientists by Stanford University in 2020 and 2021. Currently, he is an Editor of IEEE Wireless Communications Letters and a Division Editor of Journal of Communications and Networks (JCN). He has also served as an Associate Editor or Editor of other journals including IEEE Trans. Communications, IEEE Communications Letters, JCN, IEEE Trans. Vehicular Technology, and ETRI journal.

 

Seong-Lyun Kim

Bio: Seong-Lyun Kim is currently a Professor and Head of the School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea, leading the Robotic & Mobile Networks Laboratory (RAMO) and the Center for Flexible Radio (CFR+). He is codirecting H2020 EUK PriMO-5G project, and the chair of Smart Factory Committee of 5G Forum, Korea. He was an Assistant Professor of Radio Communication Systems at the Department of Signals, Sensors & Systems, Royal Institute of Technology (KTH), Stockholm, Sweden. He was a Visiting Professor at the Control Engineering Group, Helsinki University of Technology (now Aalto), Finland, the KTH Center for Wireless Systems, and the Graduate School of Informatics, Kyoto University, Japan. He served as a technical committee member or a chair for various conferences, and an editorial board member of IEEE Transactions on Vehicular Technology, IEEE Communications Letters, Elsevier Control Engineering Practice, Elsevier ICT Express, and Journal of Communications and Network. His research interest includes radio resource management, information theory in wireless networks, collective intelligence, and robotic networks.

 

Jihong Park

Bio: Jihong Park is a Lecturer (assistant professor) at the School of IT, Deakin University, Australia. He obtained B.S. and Ph.D. degrees from Yonsei University in Korea. He was a Postdoctoral Researcher at Aalborg University in Denmark and University of Oulu in Finland. His recent research focus includes communication-efficient distributed machine learning, distributed control, and distributed ledger technology, as well as their applications for beyond 5G/6G communication systems. He served as a Conference/Workshop Program Committee Member for IEEE GLOBECOM, ICC, and INFOCOM, as well as NeurIPS, ICML, and IJCAI. Currently, he is an Associate Editor of Frontiers in Data Science for Communications. He is a Senior Member of IEEE and a Member of ACM.

Deadlines:
Workshop paper submissions due EXTENDED: 23 March 2022
Acceptance notification: 17 April 2022
Final paper submission due: 1 May 2022

To submit a paper to this workshop, please visit: https://vtc2022s-rr-wks.trackchair.com/track/2055

For additional information, please visit: https://sites.google.com/view/ica-vtc2022

W20: Third Annual Workshop on Diversity and Inclusion

This Workshop has moved to virtual only.

W20: Third Annual Workshop on Diversity and Inclusion

Co-chair: Carmela Cozzo, Samsung, USA
Co-chair: Sarah Kate Wilson, Santa Clara University, USA

Abstract: The workshop will have a panel and speakers on the topic of diversity in wireless communications engineering. This workshop will build on the previous two VTC diversity workshops. In addition to the panel and speakers, we will have a breakout session with active participation of the audience.

Keynote Speaker: Asha R. Keddy, Intel Corp., USA
Keynote Speaker: Monisha Gosh, University of Notre Dame, USA
Keynote Speaker: Valencia Martin Wallace, USPTO, USA

 

Keynote Panel:

Abstract: This panel discusses the ways we experience diversity in the working place and how we can improve our workplace environment. It is well known that diversity in the workplace improves the final product because more aspects are considered in the design process.   However, diversity of background and culture can also lead to differences in wording that can lead to misunderstanding.

Panelist: Alan Gatherer
Panelist: James Irvine
Panelist: Sylvia Lu
Panelist: Eve Riskin

Co-chair Bios:

Carmela Cozzo

Bio: Carmela Cozzo is a Principal Engineer and Standards Expert at Samsung. She has over 20 years of experience in research and standardization of wireless communications systems in leading telecommunications companies. She has been actively contributing to the 3GPP standardization of 5G/4G/3G systems as RAN1 and RAN delegate and rapporteur representing Samsung and earlier Futurewei. She was with Ericsson Research where she focused on algorithm design of advanced receivers for HSPA systems. She holds a Ph.D. in EE from North Carolina State University, and a Laurea degree in EE from the University of Rome, Italy.

She is a Senior Member of IEEE, served as editor of the IEEE Transaction on Vehicular Technologies and as reviewer of major IEEE journals and conferences. She is the IEEE VTS Liaison to Women in Engineering Committee, and Chair of the IEEE VTS Committee on Women in VTS and Diversity. She holds several patents, has authored several IEEE papers and contributed to workshops/panels in wireless communications.

Sara Kate Wilson

Bio: Sarah Kate Wilson earned her A.B. in Mathemathics from Bryn Mawr College and her Ph.D. in Electrical Engineering at Stanford University. She has worked in both academia and industry and is currently a Professor of Electrical Engineering at Santa Clara University. Her research area includes wireless radio frequency communications, visible light communications and underwater acoustic communications.

She served as the Editor-in-Chief of IEEE Communications Letters from 2009-2011, and has been an associate editor for IEEE Transactions on Wireless Communications, IEEE Communications Letters, IEEE Transactions on Communications and the Journal of Communications and Networks. She was the IEEE Communications Society Director of Journals for the term 2012-2013, overseeing four society journals and their Editors-in-Chief. She was the elected Vice President for Publications for the IEEE Communications Society for the term 2014-2015, overseeing all journals, magazines and online content. She has received the IEEE Education Society Harriett Rigas Award, the IEEE Women in Communications Engineering Service Award, the IEEE Communications Society Joseph LoCicero Award for Exemplary Service to Publications and is a Fellow of the IEEE for “contributions to Orthogonal Frequency Division Multiplexing.” She was the co-general chair (with Andrea Goldsmith) of the IEEE Wireless Communications and Networking Conference (WCNC) in 2017 http://wcnc2017.ieeewcnc.org/ in San Francisco which was awarded the IEEE iCon award for the best IEEE Conference of 2017.

 

Keynote Speaker Bios:

Valencia Martin Wallace

Bio: As Deputy Commissioner for Patents, Ms. Martin Wallace manages and leads the Patent Organization’s efforts related to international IP harmonization and oversees patent examining functions in Technology Centers that examine the technologies of communication, mechanical engineering, manufacturing and medical devices and processes and design. Regarding international IP harmonization, she specifically provides executive leadership on international patent legal issues and various work sharing efforts with international partners.

Ms. Martin Wallace is currently the Executive Lead for the USPTO’s initiative the Council for Inclusive Innovation (CI2).  The CI2, comprised of representatives from industry, academia, and government, will help guide the USPTO in developing a comprehensive national strategy to build a more diverse and inclusive innovation ecosystem by encouraging participation demographically, geographically, and economically.

Throughout her career at the USPTO, she served as Deputy Commissioner for Patent Quality where she was responsible for sustaining the high quality of the USPTO’s patent examination processes and products. She also served as Assistant Deputy Commissioner for Patent Operations, where Ms. Martin Wallace oversaw operations in the software technology centers, served as executive co-lead on the implementation of the AIA First-Inventor-to-File statutory framework, and led the implementation of the Office of Patent Examination Support Services.

Ms. Martin Wallace is a graduate of Howard University, where she earned a Bachelor of Science in Electrical Engineering, and The George Washington University School of Law, where she earned a Juris Doctorate. She has also received a certificate in Advanced Public Administration from Syracuse University’s Maxwell School of Public Administration.

 

Keynote Panelists Bios:

 

Alan Gatherer

Bio: Alan Gatherer is currently the CTO of Cirrus360 and a Fellow of the IEEE.  He is responsible for R&D and strategy for Cirrus360 modem development platforms.  From January 2010 to January 2021 he was with Futurewei technologies where he was a  Senior Technical Vice President in charge R&D efforts in the US to develop next generation baseband chips and software for 4G and 5G basestation modems. He led development of new technologies for baseband SoC in the areas of multimode modems as a Service, interconnect and memory fabric,  CPU/DSP clusters and virtualization, focusing on 5G deployment. Prior to that he was a TI Fellow and CTO at Texas Instruments where he led the development of high performance, multicore DSP at TI and worked on various telecommunication standards. Alan has authored over 50 journal and conference papers.

In addition, he holds over 80 awarded patents and is author of the book  “The Application of Programmable DSPs in Mobile Communications.”  Alan holds a bachelor of engineering in microprocessor engineering from Strathclyde University in Scotland. He also attended Stanford University in California where he received a master’s in electrical engineering in 1989 and his doctorate in electrical engineering in 1993.

 

James Irvine

Bio: James Irvine is a Reader at the University of Strathclyde in Glasgow, where he heads the Communications: Systems, Integration and Security theme of the Power Networks Demonstration Centre. He received his bachelors and doctorate from University of Strathclyde in 1989 and 1994 respectively. His research focuses on radio resource management and cryptography, with applications to transport and power networks. He was active for many years in the UK Mobile VCE research programme, as Academic Co-ordinator of three work programmes. Prior to this, he led the system architecture work on the EU MOSTRAIN project, for communications to high speed trains. A co-author of two books, seven Patents and over 200 technical papers, James has given evidence in the UK High Court in six cases involving 2G, 3G and 4G technology disputes, as well as in the US, The Netherlands and Germany. He was General Co-chair of IEEE VTC2015-Spring and of IEEE WCNC2023.

James is VP Publications of IEEE VTS, and was President 2008-9. More broadly within IEEE, James has served on three of the major Boards of the IEEE: Technical Activities, Publications and Educational Activities. He  currently chairs the  TAB/PSPB Products and Services Committee.

 

Sylvia Lu

Bio: Sylvia Lu is an award-winning Chartered Engineer and a Non-Executive Director. Sylvia has over a decade of experience in  the Telecom industry for four mobile generations (2G ~ 5G) with chipset vendors and was recognised as one of the UK’s Top 50 Women in Engineering. Sylvia is Head of Cellular Technology Strategy at u-blox, where she leads cellular technology strategy, global standards and industry alliances.

Sylvia serves on several national and global industry Boards: she is an elected board director of CW (Cambridge Wireless) Ltd, and serves on the Advisory Board of UK5G, co-chairs UK5G Manufacturing Working Group, and provides independent advice to the UK government and national 5G networks on future plans for 5G deployment. She serves on the Board of 5G-ACIA (5G Alliance for Connected Industries and Automation), joins forces with global industry stakeholders to influence 5G development and deployment in line with industrial imperatives to accelerate Industry 4.0.

Sylvia operates on an international stage as a keynote speaker on 5G, 6G, emerging technologies, global standards, trust, and D&I for a wide range of stakeholders across the UK, US, Barcelona, China, Baltic counties, France, Germany. She contributes to industry magazines and journals, some of which have been translated into 7 languages with a global reach. Sylvia holds a first BEng degree in Electronic Engineering from Birmingham City University, a Master of Science degree in Communications and Signal Processing from the University of Bristol, and Masters in Strategy and Innovation  from the University of Oxford.

 

Eve Riskin

Bio: Eve Riskin received her BS degree in Electrical Engineering from M.I.T. and her graduate degrees in EE from Stanford.  Since 1990, she has been in the EE Department at the University of Washington where she is Professor of Electrical & Computer Engineering and Faculty Directors of UW STARS and UW ADVANCE. She was awarded a National Science Foundation Young Investigator Award, a Sloan Research Fellowship, the 2006 Hewlett-Packard Harriett B. Rigas Award, and a 2020 Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring.  She is a Fellow of the IEEE.

 There will be no papers accepted to this workshop!

W19: Workshop on Mission Critical Communications

W19: Workshop on Mission Critical Communications

Co-chair: Hichan Moon, Hanyang University, South Korea
Co-chair: Chuan Foh, University of Surrey, UK
Co-chair: Zak Kassas, Ohio State University, USA

Abstract: The advent of 5G and prospect for 6G have paved the way for new applications in mission critical communications including disaster monitoring, train/traffic controls and public safety. Mission critical communication provides reliable communication even in extreme environments. High accuracy positioning for a vehicle or a mobile phone has extended its applications to such as unmanned vehicles/drones, emergency rescue, and navigation in GPS-denied areas like tunnels, underground motorways and parking lots. The security in mission critical communications is highly required, since they are used for many businesses as well as public safety responders and organizations. It greatly increases the reliability of communications from several attacks.

The demand to support critical increases the requirements for highly reliable, secure and low latency communications. These requirements generate great challenges in several areas in communications systems including network architecture, air protocol, security and positioning systems. This Workshop focuses on several technologies related with mission critical communications to satisfy these challenges.

Program Information – 19 June 2022

Multipath Mitigation of 5G Signals via Reinforcement Learning for Navigation in Urban Environments
Zaher Kassas, Mechanical and Aerospace Engineering, University of California, United States|Ali Abdallah, Electrical Engineering and Computer Science, University of California, Irvine, United States|Mohamad Orabi, Electrical Engineering and Computer Science, University of California, Irvine, United States

Detection range of signal measurement equipment in HELPS
Seonsik Min, Electronic Engineering, Hanyang University, South Korea|Hichan Moon, Electronic Engineering, Hanyang University, South Korea

Evaluation of RF Fingerprinting-Aided RSS-Based Target Localization for Emergency Response
Halim Lee, School of Integrated Technology, Yonsei University, South Korea|Taewon Kang, School of Integrated Technology, Yonsei University, South Korea|Suhui Jeong, School of Integrated Technology, Yonsei University, South Korea|Jiwon Seo, School of Integrated Technology, Yonsei University, South Korea

Performance of Routing Protocols over TDMA MAC for Robotic Swarms in Space Exploration
Fin Christensen, Institute for Intelligent Cooperating Systems, OVGU Magdeburg, Germany|Kai Kientopf, Institute for Intelligent Cooperating Systems, OVGU Magdeburg, Germany|Emanuel Staudinger, Institut für Kommunikation und Navigation, DLR, Germany|Mesut Günes, Institute for Intelligent Cooperating Systems, OVGU Magdeburg , Germany

Resource Allocation Strategy of UAV-Aided WPCN Based on Magnetic Coupling Resonance Wireless Power Transfer – To be presented virtually
Zhihong Xu, College of Physics and Information Engineering, Fuzhou University, China|Yisheng Zhao, College of Physics and Information Engineering, Fuzhou University, China|Ximei He, College of Physics and Information Engineering, Fuzhou University, China|Yong Chen, College of Physics and Information Engineering, Fuzhou University, China

Using Real-Time Kinematics Algorithm in Mission Critical Communication for Accurate Positioning and Time Correction over 5G and Beyond Networks
Mutasem Hamdan, ICS, 5GIC & 6GIC, Institute for Communication Systems (ICS), University of Surrey, Guildford, United Kingdom, United Kingdom|Chuan Foh, ICS, 5GIC & 6GIC, Institute for Communication Systems (ICS), University of Surrey, Guildford, United Kingdom, United Kingdom|Atta Quddus, ICS, 5GIC & 6GIC, Institute for Communication Systems (ICS), University of Surrey, Guildford, United Kingdom, United Kingdom|Stephen Hancock, OS, Ordnance Survey, United Kingdom|Oliver Holland, AWTG, AWTG LTD, United Kingdom|Richard Woodling, OS, Ordnance Survey, United Kingdom

Keynote by Zak Kassas, Ohio State University

Title: No GPS, No Problem: Exploiting Terrestrial and Extraterrestrial Signals of Opportunity for Resilient and Accurate Navigation of Highly Automated Vehicles

Abstract: Highly automated vehicles (HAVs) rely on a steady stream of signals and information from external sources for localization, route planning, perception, and general situational awareness. This includes reliance on positioning, navigation, and timing (PNT) information. Current HAVs are too trusting of the PNT information they receive from external sources, and too fragile in the face of loss or attenuation of vital PNT and communications links. There is a global trend of increasing interference, whether accidental or deliberate, in radio bands crucial for highly automated transportation systems. Civil global navigation satellite system (GNSS) signals jamming and spoofing have evolved from a hypothetical threat, to an experimentally-verified vulnerability, to an emerging public safety hazard.

This talk will present a framework for resilient and accurate HAV navigation by exploiting ambient radio frequency signals of opportunity, which are not intended as navigation sources. In this framework, specialized vehicle-mounted radios collaboratively draw relevant positioning and timing information from ambient signals of opportunity to build and continuously refine a spatiotemporal signal landscape map of the environment within which the vehicles simultaneously localize themselves in space and time. We will present an end-to-end research approach, spanning theoretical modeling and analysis of signals of opportunity, specialized software-defined radio (SDR) design, practical navigation algorithm development, and experimental demonstration of our system on ground vehicles, unmanned aerial vehicles (UAVs), and high altitude aircraft navigating with terrestrial and extraterrestrial (space-based) signals of opportunity.

 

Co-chair Bios:

Hichan Moon

Bio: Hichan Moon is a professor in the Department of Electronic Engineering, Hanyang University, Seoul, Korea. He received his B.S. and M.S. degrees in electronics engineering from Seoul National University (Summa Cum Laude), Seoul, Korea and his Ph.D. degree in electrical engineering from Stanford University, Stanford, CA, USA. Before joining Hanyang University, he worked at Samsung Electronics Co., Korea. In Samsung, he designed mobile station modems for cdma2000, W-CDMA, and LTE. He also worked for 3GPP standardization. He is the project initiative of HELPS and a founder of Infoseize Systems. His research interests include accurate positioning, physical layer security, random access and next generation wireless systems. He is the chair of Ad Hoc Committee on Mission Critical Communications, IEEE Vehicular Technology Society.

Chuang Foh

Bio: Chuan Heng Foh received his M.Sc. degree from Monash University, Australia in 1999 and Ph.D. degree from the University of Melbourne, Australia in 2002. He was with Monash University in Australia, Nanyang Technological University, Singapore prior to joining University of Surrey in 2013. His research interests include protocol design, performance analysis, and application of AI techniques to various computer networks including wireless local area and mesh networks, mobile ad hoc and sensor networks, 5G networks, and data center networks. He has authored or coauthored over 100 refereed papers in international journals and conferences. He actively participates in IEEE conference and workshop organization. He is currently an Associate Editor for IEEE Access, IEEE Wireless Communications, and International Journal of Communications Systems. He also served as a vice-chair for IEEE Technical Committee on Green Communications and Computing (TCGCC). He is a senior member of IEEE.

 

Zak Kassas

Bio: Prof. Zak Kassas is an Associate Professor of Mechanical & Aerospace Engineering and Electrical Engineering & Computer Science at the University of California, Irvine (UCI) and Director of the Autonomous Systems Perception, Intelligence, and Navigation (ASPIN) Laboratory. He is currently serving as a Visiting Associate Professor at Ohio State University.  He is also Director of the U.S. Department of Transportation Center: CARMEN, focusing on navigation resiliency and security of highly automated transportation systems. Prior to joining UCI, he was an Assistant Professor of Electrical and Computer Engineering at the University of California, Riverside.

He received a B.E. in Electrical Engineering from the Lebanese American University, an M.S. in Electrical and Computer Engineering (ECE) from The Ohio State University, and an M.S.E. in Aerospace Engineering and a Ph.D. in ECE from The University of Texas at Austin. He has authored more than 120 peer-reviewed journal and conference papers, 8 magazine articles, 3 invited book chapters, and 16 U.S. patents, in the areas of navigation systems, autonomous vehicles, cognitive and software-defined radio, signal processing, and control systems.

Deadlines:
Workshop paper submissions due EXTENDED: 23 March 2022
Acceptance notification: 17 April 2022
Final paper submission due: 1 May 2022

To submit a paper to this workshop, please visit: https://vtc2022s-rr-wks.trackchair.com/track/2054

W18: Workshop on Machine Learning and Artificial Intelligence for Communications: Air Interface Design in 6G

W18: Workshop on Machine Learning and Artificial Intelligence for Communications: Air Interface Design in 6G

Chair: Nandana Rajatheva, University of Oulu, Finland

Abstract: As fifth-generation (5G) cellular networks transition from academic research to commercialization, the wireless communication community has already started exploring the machine learning and AI for the sixth-generation (6G) wireless systems. There is a new study item in 3GPP on AI.  The investigations to be carried out will focus of new use cases (such as extreme capacity xHaul, high-mobility hotspots, and fully autonomous vehicles) while realizing the full potential of others that have just emerged in 5G (such as smart transportation and industrial automation/robotics). At present, several technologies are being regarded as potential enablers to achieve the desired paradigm shift, including the adoption of new spectral bands, cell-free massive multiple-input multiple-output (MIMO), reconfigurable intelligent surfaces (RISs) to name a few. This workshop will focus on the machine learning and AI methods that are required to realize those mentioned in 6G, along with the applications. It aims at gathering researchers from both academia and industry to open up new disruptive research avenues for the development of future wireless systems. This workshop will be a venue to brainstorm on and to identify emerging concepts, technologies, and analytical tools for machine learning and AI in 6G. We aim to bring together leading researchers in both academia and industry, and to provide a forum for researchers from diverse backgrounds to share their views on having these for 6G, and to have an open dialogue on the future of wireless research.

We invite submissions on a wide range of topics in AI and ML including, but not limited to, the following:

End to end PHY layer design and learning
Coding, Modulation and Decoding
Sensing aided communications ( vision/RADAR/LiDAR)
Channel estimation and receiver processing
Resource allocation
Initial access, beamforming, beam tracking, mobility solutions
Waveform design and learning
Energy efficiency, Energy consumption models
Reconfigurable Intelligent Surfaces (RISs)
Cell-free massive multiple-input multiple-output (MIMO)
High-mobility hotspots

Chair Bio:

Nandana Rajatheva

Bio: Nandana Rajatheva (Senior Member, IEEE) received the B.Sc. (Hons.) degree in electronics and telecommunication engineering from the University of Moratuwa, Sri Lanka, in 1987, ranking first in the graduating class, and the M.Sc. and Ph.D. degrees from the University of Manitoba, Winnipeg, MB, Canada, in 1991 and 1995, respectively. He was a Canadian Commonwealth Scholar during the graduate studies in Manitoba. He held Professor/Associate Professor positions with the University of Moratuwa and the Asian Institute of Technology, Thailand, from 1995 to 2010. He is currently a Professor with the Centre for Wireless Communications, University of Oulu, Finland where he is involved with the Finnish 6G Flagship project and was TPC chair of 2nd 6G wireless summit. He is track co-chair of 6G enabling technologies in joint EUCNC-6G summit 2021and 2022. He is leading the AI-driven Air Interface design task in Hexa-X EU Project. He has coauthored more than 200 refereed papers published in journals and in conference proceedings. His research interests include physical layer in beyond 5G, integrated sensing and communications, applications of machine learning for PHY and MAC layers. website: https://sites.google.com/view/profnandanarajatheva

Technical Program Committee:

MERLUZZI Mattia, CEA, France
Filippou, Miltiadis, Intel, Germany
Gomes Baltar, Leonardo, Intel
Markus Dominik Mueck, Intel
Luc LE MAGOAROU, BCOM
Korpi, Dani (Nokia – FI/Espoo), Nokia
Mohammadi, Jafar (Nokia – DE/Stuttgart), Nokia
Johan Haraldson, Ericsson
Quentin Lampin, Orange, France
LARUE Guillaume TGI/OLS, Orange, France
Dileepa Marasinghe, University of Oulu
Ismath Mohamed Insaf, University of Oulu
Nuwanthika Rajapakshage, University of Oulu
Vismika Ranasinghe Mudiyanselage, University of Oulu
Dilin Dampahalage, University of Oulu
Nipuni Ginige, University of Oulu
Thushan Sivalingam, University of Oulu
Samad Ali, University of Oulu

Deadlines:
Workshop paper submissions due EXTENDED: 23 March 2022
Acceptance notification: 17 April 2022
Final paper submission due: 1 May 2022

To submit a paper to this workshop, please visit:  https://vtc2022s-rr-wks.trackchair.com/track/2053

W17: 1st IEEE Workshop on Electromagnetic Information Theory towards 5G-Advanced (5.5G EIT)

This Workshop has moved to virtual only.

W17: 1st IEEE Workshop on Electromagnetic Information Theory towards 5G-Advanced (5.5G EIT)

Co-chair: Marco Di Renzo, CNRS & Paris-Saclay University, France
Co-chair: Linglong Dai, Tsinghua University, China
Co-chair: Marco Donald Migliore, University of Cassino and Southern Lazio, Italy
Co-chair: Tengjiao Wang, Huawei Technologies, China

Abstract: In order to meet the immensely higher data rate, reliability, and traffic demands in the future 5G-Advanced communications, novel communication frameworks are rapidly emerging to fully utilize the electromagnetic waves, including holographic MIMO, extremely large antenna arrays, reconfigurable intelligent surfaces, etc. The ultimate limitation of the channel capacity and the ways to achieve this capacity are two fundamental questions in the system design. However, current design and performance analysis methods are usually based on the scalar-quantity, far-field, planar-wavefront, monochromatic and other nonphysically-consistent assumptions, which may cause mismatch between the system design and the realistic propagation environment.

To solve this problem, the emerging electromagnetic information theory (EIT) is proposed and has attracted increasing interests from both academia and industry. By integrating the statistical information theory with the deterministic electromagnetic theory, it is able to build a more physically consistent communication model and establish more fundamental limitations on the communication systems. It is expected that EIT will bring brand new theoretical analysis and system design paradigms to the future wireless communications.

While research into EIT based theoretical analysis, signal processing, channel modeling, antenna design, and standardization for the future wireless communications are still in the early stage, it is essential to establish a clear vision and provide guidance for the worldwide academic researchers and industrial partners. Thus, we believe this workshop will bring a good opportunity to attendees from both academia and industry to present novel ideas on EIT and to exchange views on 5G-Advanced openly.

This workshop calls for contributions on the following topics of interest, including but not limited to:

  • EIT based Theoretical Analysis
    • Channel capacity analysis
    • Degree of freedom of the time, frequency, and spatial domain
    • Characteristic mode analysis
    • Performance evaluation
  • EIT based Channel Modeling
    • Physics consistent channel modeling
    • Computational electromagnetics based channel modeling
    • Circuit theory based channel modeling
    • Reactive near field, radiating near field and far field channel modeling
  • EIT based Signal Processing
    • Beamforming for both near and far field
    • Channel estimation for both near and far field
    • Interference cancelation
    • Joint system optimization
  • EIT based Antenna Design
    • Holographic MIMO, continuous-aperture MIMO
    • Extremely large antenna arrays, large intelligent surfaces
    • Reconfigurable antennas, reconfigurable intelligent surfaces
    • Electromagnetic metasurfaces

Technical Program Committee:

Jiyong Pang, Huawei Technologies, China
Wei E. I. Sha, Zhejiang University, China
Pei Xiao, University of Surrey, UK
Marco Donald Migliore, University of Cassino and Southern Lazio, Italy
Zhimeng Zhong, Huawei Technologies, China
Anxue Zhang, Xi’an Jiaotong University, China
Hongjing Xu, Huawei Technologies, China
Shigang Zhou, Northwestern Polytechnical University, China
Fenghan Lin, ShanghaiTech University, China
Marco Di Renzo, CNRS & Paris-Saclay University, France

 

Co-chair Bios:

 

Marco Di Renzo

Bio: Marco Di Renzo (Fellow, IEEE) received the Laurea (cum laude) and Ph.D. degrees in electrical engineering from the University of L’Aquila, Italy, in 2003 and 2007, respectively, and the Habilitation à Diriger des Recherches (Doctor of Science) degree from University Paris-Sud (now Paris-Saclay University), France, in 2013. Since 2010, he has been with the French National Center for Scientific Research (CNRS), where he is a CNRS Research Director (CNRS Professor) with the Laboratory of Signals and Systems (L2S) of Paris-Saclay University – CNRS and CentraleSupelec, Paris, France. In Paris-Saclay University, he serves as the Coordinator of the Communications and Networks Research Area of the Laboratory of Excellence DigiCosme, and as a Member of the Admission and Evaluation Committee of the Ph.D. School on Information and Communication Technologies. He is the Editor-in-Chief of IEEE Communications Letters and a Distinguished Speaker of the IEEE Vehicular Technology Society. In 2017-2020, he was a Distinguished Lecturer of the IEEE Vehicular Technology Society and IEEE Communications Society. He has received several research distinctions, which include the SEE-IEEE Alain Glavieux Award, the IEEE Jack Neubauer Memorial Best Systems Paper Award, the Royal Academy of Engineering Distinguished Visiting Fellowship, the Nokia Foundation Visiting Professorship, the Fulbright Fellowship, and the 2021 EURASIP Journal on Wireless Communications and Networking Best Paper Award. He is a Fellow of the UK Institution of Engineering and Technology (IET), an Ordinary Member of the European Academy of Sciences and Arts (EASA), and an Ordinary Member of the Academia Europaea (AE). Also, he is a Highly Cited Researcher (2019).

 

Linglong Dai

Bio: Linglong Dai (Fellow, IEEE) received the B.S. degree from Zhejiang University in 2003, the M.S. degree (with the highest honor) from the China Academy of Telecommunications Technology (CATT) in 2006, and the Ph.D. degree (with the highest honor) from Tsinghua University, Beijing, China, in 2011. From 2011 to 2013, he was a Postdoctora Research Fellow with the Department of Electronic Engineering, Tsinghua University, where he has been an Assistant Professor since July 2013 and then an Associate Professor since June 2016. His current research interests include 5G/6G wireless communication technologies (massive MIMO, millimeter-wave/Terahertz communications, non orthogonal multiple access, etc.) and machine learning for future wireless communications.

He has published over 60 IEEE journal papers and over 40 IEEE conference papers. He also holds 16 granted patents. He coauthored the book “mmWave Massive MIMO: A Paradigm for 5G” (Academic Press, Elsevier, 2016). Dr. Dai has received 5 IEEE conference Best Paper Awards. He has also received the Tsinghua University Outstanding Ph.D. Graduate Award in 2011, the Beijing Excellent Doctoral Dissertation Award in 2012, the National Excellent Doctoral Dissertation Nomination Award in 2013, the URSI Young Scientist Award in 2014, the IEEE Transactions on Broadcasting Best Paper Award in 2015, the Second Prize of Science and Technology Award of China Institute of Communications in 2016, the Electronics Letters Best Paper Award in 2016, the IEEE Communications Letters Exemplary Editor Award in 2017, the National Natural Science Foundation of China for Outstanding Young Scholars in 2017, the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2017, the 7th IEEE ComSoc Asia-Pacific Outstanding Paper Award in 2018, the China Communications Best Paper Award in 2019, the IEEE Access Best Multimedia Award in 2020, the China Communications Best Editor Award in 2020, and the IEEE ComSoc Leonard G. Abraham Prize in 2020. He was listed as a Highly Cited Researcher by Clarivate in 2020 and 2021. He was elevated as an IEEE Fellow in 2021.

He has received the First Prize of the 11th Beijing Municipal Young College Teachers’ Basic Teaching Skills Competition. The first Ph.D. student under his supervision has received the 2018 Tsinghua University Special Award (the highest award for Tsinghua students), the second Ph.D. student has received the 2019 Paul Baran Young Scholar (the first student in mainland China), and the first Master student has received the Chinese Institute of Electronics Excellent Master Thesis Award. He has also guided three undergraduate students to win the National Special Award of the 16th “Challenge Cup” Technological Innovation Competition (the highest award), and two undergraduate students to receive the Tsinghua University Special Award in 2016 and 2014, respectively.

He is currently serving as an Area Editor of the IEEE Communications Letters (2019-). He has also served as an Editor of the IEEE Transactions on Communications (2017-2021), and an Editor of the IEEE Transactions on Vehicular Technology (2016-2020). He has also served as a Guest Editor of the IEEE Journal of Selected Topics in Signal Processing (the Special Issue on Hybrid Analog-Digital Signal Processing for Hardware-Efficient Large Scale Antenna Arrays), a Guest Editor of the IEEE Journal on Selected Areas in Communications (the Special Issue on Millimeter Wave Communications for Future Mobile Networks), and the Leading Guest Editor of the IEEE Wireless Communications (the Special Issue on Non-Orthogonal Multiple Access for 5G). He is a co-chair of the IEEE Special Interest Group (SIG) on Signal Processing Techniques in 5G Communication Systems. Particularly, he is dedicated to reproducible research and has made a large amount of simulation code publicly available (refer to his homepage for more details: http://oa.ee.tsinghua.edu.cn/dailinglong/).

 

Marco Donald Migliore

Bio: Marco Donald Migliore (Senior Member, IEEE) received his Laurea (Hons.) and Ph.D. Degree in Electronic Engineering from the University of Naples, Naples, Italy. He was Visiting Professor at the University of California at San Diego, La Jolla, CA, USA, in 2007, 2008 and 2017; the University of Rennes I, Rennes, France, in 2014 and 2016; the Centria Research Center, Ylivienka, Finland, in 2017; the University of Brasilia, Brazil, in 2018; and Harbin Technical University, China, in 2019.

He is currently Full Professor at the University of Cassino and Southern Lazio, Cassino, Italy, where he is also Head of the Microwave Laboratory. He is also a member of the ELEDIA@UniCAS Research Center, of the National Inter-university Research Center on Interactions between Electromagnetic Fields and Biosystems (ICEMmB), where he is also the Leader of the 5G Group, of the Italian Electromagnetic Society (SIEM), and of the National Interuniversity Consortium for Telecommunications (CNIT).

His current research interests include the connections between electromagnetism and information theory, the analysis, synthesis and characterization of antennas in complex environments, antennas and propagation for 5G and 6G, ad hoc wireless networks, compressed sensing applied to electromagnetic problems and energy applications of microwaves.

 

Tengjiao Wang

Bio: Tengjiao Wang (Member, IEEE) received his B.S. degree and Ph. D. degrees from the Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2016 and 2021, respectively. He was a visiting scholar with the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2019. Currently, he is a principal research engineer with Wireless Network RAN Research Department, Huawei Technologies CO., Ltd, Shanghai, China. His research interests lie in the fields of 5.5G wireless communications, electromagnetic information theory, visible light communications, and machine learning. He was a recipient of the National Scholarship in 2018, the Academic Star of Tsinghua University in 2021, the Excellent Doctoral Dissertation of Tsinghua University in 2021, and the Wang Daheng Optical Award in 2021.

 

Deadlines:
Workshop paper submissions due EXTENDED: 23 March 2022
Acceptance notification: 17 April 2022
Final paper submission due: 1 May 2022

To submit a paper to this workshop, please visit: https://vtc2022s-rr-wks.trackchair.com/track/2052

For additional information and the workshop call-for-papers: CFP VTC22-Spring Workshop on 5.5G EIT-0105

W16: Workshop on Edge-based AI Applications over B5G/6G Evolution

W16: Workshop on Edge-based AI Applications over B5G/6G Evolution

Organizer: Tarik Taleb, University of Oulu, Finland
Organizer: Kei Sakaguchi, Tokyo Institute of Technology, Japan
Organizer: Haris Gačanin, RWTH Aachen University, Germany
Organizer: Tareq Amin, Rakuten Mobile, Japan

Keynote Speaker: Walid Saad, Virginia Tech, USA
Keynote Speaker: Tareq Amin, Rakuten Mobile, Japan
Keynote Speaker: Dario Sabella, Intel, USA

TPC Co-chair: Marco Mezzavilla, New York University, USA
TPC Co-chair: Anil Kumar Panwar, Rakuten Mobile, Japan
TPC Co-chair: Felipe Augusto Pereira de Figueiredo, Inatel, Brazil
TPC Vice-chair:
Jin Nakazato, Rakuten Mobile, Japan

Publicity Co-chair: Francisco Falcone, Public University of Navarre, Spain
Publicity Co-chair: Kazuki Maruta, Tokyo Institute of Technology, Japan

Abstract: Discussions about Beyond 5G (B5G)/6G have started worldwide, and we are now about to enter the age of the super-smart society. Fully virtualized networks and multi-access edge computing (MEC) are key enabler technologies to support this new social infrastructure. These technologies will enable the creation of various kinds of application services that can fully leverage the potential of 5G: enhanced mobile broadband, ultra-reliable low latency, and massive connectivity. In the age of B5G/6G, innovation in networks and artificial intelligence (AI) will further boost this movement. To date, the network has been regarded as a simple pipe to connect user equipment and cloud servers that host applications. Incorporating AI into edge computing will enable end-to-end automated self-aware networks, including wireless/physical networks on virtualized platforms. MEC and virtualized networks support AI mission-critical services such as V2X. That’s why this workshop aims to build a pioneering community to discuss future directions on “virtualized edge-based AI networks” and related technologies. Specifically, the scope includes access/core network architecture to support micro-service functions, fully virtualized platforms, edge/cloud cooperation functionality, and intelligent/autonomous network applications such as resource management. Furthermore, close collaboration with academia and industries can produce new inspiration for future standardization, such as 3GPP Release 18/19 and O-RAN. This workshop will accept recent achievements of theoretical, simulative work as well as proofs-of-concept.

  • MEC for intelligent networks
  • MEC for mission-critical applications
  • AI-enabled edge/cloud cooperation
  • Enhanced intelligent network slicing for edge platforms
  • QoS/QoE assurance support
  • Edge AI enhancement for reconfigurable wireless network design and optimization
  • Edge AI empowered VR/AR/XR application services
  • Digital twin platforms enabled by intelligent networks
  • Cloud-native RAN
  • SDN/NFV orchestration based on autonomous learning: algorithm and frameworks
  • Local area data analysis for smart cities
  • Proofs-of-concept of next-generation edge AI networks
  • Platform and standardizations of MEC-enabled AI networks
Program for 19 June 2022
 Time Schedule Category Note
9:00 – 9:10 Welcome Speech
9:10 – 9:50 Keynote I. Walid Saad
9:50 – 11:30 Oral Session I.

(5 Presentations)

(15min Presentation + 5min Q&A)
11:30 – 14:00 Lunch Time
14:00 – 14:40 Keynote II. Tareq Amin / Anil Kumar Panwar
14:50 – 15:30 Oral session II.

(2 Presentations)

(15min Presentation + 5min Q&A)
15:30 – 16:00 Coffee Break
16:00 – 16:40 Keynote III. Dario Sabella
16:40 – 16:50 Closing Speech

Oral Session I.
[1] Task Scheduling with Collaborative Computing of MEC System Based on Federated Learning (Tianyi Shi, Hongfeng Tian, Tiankui Zhang, Jonathan Loo, Jiangtao Ou, Chengyuan Fan, Dingcheng Yang, Nanchang University)
[2] Structured Sparse Ternary Compression for Convolutional Layers in Federated Learning (Alessio Mora, Luca Foschini, Paolo Bellavista)
[3] Towards Deep Learning-Guided Multiuser SNR and Doppler Shift Detection for Next-Generation Wireless Systems (Shun Kojima, Yi Feng, Kazuki Maruta, Kanemitsu Ootsu, Takashi Yokota, Chang-Jun Ahn, Vahid Tarokh)
[4] Proof-of-Concept of Distributed Optimization of Micro-Services on Edge Computing for Beyond 5G (Jin Nakazato, Mitsuhiro Kuchitsu, Anil Pawar, Soh Masuko, Keishi Tokugawa, Keiichi Kubota, Kazuki Maruta, Kei Sakaguchi)
[5] Mobile User Trajectory Prediction Based on Machine Learning (Ya Liu, Hongwen Yang, Rui Huang)

Oral Session II.
[6] Edge Intelligence in Mobile Nodes: Opportunistic Pipeline via 5G D2D for On-site Sensing (Terry Guo, Hawzhin Mohammed, Syed R. Hasan)
[7] Object Recognition Network using Continuous Roadside Cameras (Gunhee Cho, Yusuke Shinyama, Jin Nakazato, Kazuki Maruta, Kei Sakaguchi)

 

Keynote Speaker Bios:

 

Walid Saad

Title: Towards AI-Native Wireless 6G Systems

Bio: Walid Saad (S’07, M’10, SM’15, F’19) received his Ph.D degree from the University of Oslo in 2010. He is currently a Professor at the Department of Electrical and Computer Engineering at Virginia Tech, where he leads the Network sciEnce, Wireless, and Security (NEWS) laboratory. His research interests include wireless networks, machine learning, game theory, security, unmanned aerial vehicles, cyber-physical systems, and network science. Dr. Saad is a Fellow of the IEEE and an IEEE Distinguished Lecturer. He is also the recipient of the NSF CAREER award in 2013, the AFOSR summer faculty fellowship in 2014, and the Young Investigator Award from the Office of Naval Research (ONR) in 2015. He was the author/co-author of ten conference best paper awards at WiOpt in 2009, ICIMP in 2010, IEEE WCNC in 2012, IEEE PIMRC in 2015, IEEE SmartGridComm in 2015, EuCNC in 2017, IEEE GLOBECOM in 2018, IFIP NTMS in 2019, IEEE ICC in 2020, and IEEE GLOBECOM in 2020. He is the recipient of the 2015 Fred W. Ellersick Prize from the IEEE Communications Society, of the 2017 IEEE ComSoc Best Young Professional in Academia award, of the 2018 IEEE ComSoc Radio Communications Committee Early Achievement Award, and of the 2019 IEEE ComSoc Communication Theory Technical Committee. He was also a co-author of the 2019 IEEE Communications Society Young Author Best Paper and of the 2021 IEEE Communications Society Young Author Best Paper. From 2015-2017, Dr. Saad was named the Stephen O. Lane Junior Faculty Fellow at Virginia Tech and, in 2017, he was named College of Engineering Faculty Fellow. He received the Dean’s award for Research Excellence from Virginia Tech in 2019. He currently serves as an editor for the IEEE Transactions on Mobile Computing and the IEEE Transactions on Cognitive Communications and Networking. He is an Area Editor for the IEEE Transactions on Network Science and Engineering, an Associate Editor-in-Chief for the IEEE Journal on Selected Areas in Communications (JSAC) – Special issue on Machine Learning for Communication Networks,  and an Editor-at-Large for the IEEE Transactions on Communications.

 

Tareq Amin

Bio: Tareq Amin joined Rakuten Group in 2018 as the first chief technology officer of Rakuten Mobile and led the design and roll-out in Japan of the world’s first fully virtualized cloud-native mobile network. In 2021, Amin was appointed as chief executive officer of Rakuten Symphony, a Rakuten Group company launched in August 2021 with a vision to reimagine telecom for a hyperscale era, delivering the convergence of IT and telecom networks. Under Amin’s leadership, Rakuten Symphony draws on the proven technologies and operating principles of hyperscale leaders, to create a unique offering: a modern, industrial-scale automation platform built specifically for telecom. In 2022, Amin was appointed as chief executive officer of Rakuten Mobile to ignite the next stage of growth in Japan and drive synergies between the global business and Rakuten Mobile. With a career in the mobile network industry spanning almost two decades, prior to joining Rakuten in 2018, Amin was a key contributor to the transformation of the mobile industry in India as Senior Vice President of Technology Development and Automation for Reliance Jio. Prior to that, he served as Vice President of Carrier Solutions for Huawei and as Senior Director of National Planning & Performance at T-Mobile. Amin holds a bachelor’s degree in Electrical Engineering and Physics from Portland State University in Oregon.

 

 

Dario Sabella

Bio: DARIO SABELLA works with INTEL as Senior Manager Standards and Research, driving new technologies and edge cloud innovation for advanced systems, involved in ecosystem engagement and coordinating internal alignment on edge computing across standards and industry groups. In February 2021 has been elected as Chairman of ETSI MEC (Multi-access Edge Computing), while from 2019 he was serving as vice-chairman, previously Lead of Industry Groups, and from 2015 vice-chair of IEG WG. Since 2017 he is also delegate of 5GAA (5G Automotive Association) and Lead of gMEC4AUTO in 5GAA. Before 2017 he worked in TIM (Telecom Italia group), as responsible in various research, experimental and operational activities on OFDMA technologies (WiMAX, LTE, 5G). He is Innovation Manager at 6G Flagship EU project Hexa-X. Author of several publications (40+) and patents (30+) in the field of wireless communications, energy efficiency and edge computing, Dario is IEEE senior member and has also organized several international workshops and conferences.

 

Co-chair Bios:

 

Tarik Taleb

Bio: Tarik Taleb is Professor the Center of Wireless Communications, University of Oulu, Finland. He is the founder and director of the MOSA!C Lab (www.mosaic-lab.org).. Prior to his current positions, he was working as Senior Researcher and 3GPP Standards Expert at NEC Europe Ltd, Heidelberg, Germany. Before joining NEC and till Mar. 2009, he worked as assistant professor at the Graduate School of Information Sciences, Tohoku University, Japan. From Oct. 2005 till Mar. 2006, he worked as a research fellow at the Intelligent Cosmos Research Institute, Sendai, Japan. He received his B. E degree in Information Engineering with distinction, M.Sc. and Ph.D. degrees in Information Sciences from Tohoku Univ., in 2001, 2003, and 2005, respectively. Prof. Taleb’s research interests lie in the field of telco cloud, network softwarization & slicing, edge computing, AI-based software defined security, immersive communications, & next generation mobile networking. Prof. Taleb is the recipient of the 2017 IEEE ComSoc Communications Software Technical Achievement Award (Dec. 2017) for his outstanding contributions to network softwarization. He is also the (co-) recipient of several awards such as the 2017 IEEE Communications Society Fred W. Ellersick Prize (May 2017), the 2009 IEEE ComSoc Asia-Pacific Best Young Researcher award (Jun. 2009), , and the Young Researcher’s Encouragement Award from the Japan chapter of the IEEE Vehicular Technology Society (VTS) (Oct. 2003). Some of Prof. Taleb’s research work have been also awarded best paper awards at prestigious IEEE-flagged conferences.

 

Kei Sakaguchi

Bio: Kei Sakaguchi received the M.E. degree in Information Processing from Tokyo Institute Technology in 1998, and the Ph.D degree in Electrical & Electronic Engineering from Tokyo Institute Technology in 2006. Currently, he is working at Tokyo Institute of Technology in Japan as a Dean in Tokyo Tech Academy for Super Smart Society and as a Professor in School of Engineering. At the same time, he is working for oRo Co.,Ltd. in Japan as an outside director. He received lots of paper awards from IEICE. He served as a TPC co-chair in ICST CrownCom in 2011, General co-chairs in IEEE WDN-CN in 2012~2015, a TPC co-chair in IEEE RFID-TA in 2015, a General co-chair of IEEE CSCN in 2015, a TPC co-chair in IEEE 5GSummit in 2016, an Industrial Panel co-chair in IEEE Globecom in 2017, General co-chairs in IEEE WDN-5G in 2017 and 2018, and a General co-chair of IEEE WDN-5G&6G in 2020. His current research interests are in 5G cellular networks, millimeter-wave communications, wireless energy transmission, V2X for automated driving, and super smart society. He is a fellow of IEICE, and a senior member of IEEE.

 

Haris Gačanin

Bio: Haris Gačanin (IEEE SM’13–F’20) received his Dipl.-Ing. degree in Electrical engineering from the University of Sarajevo in 2000. In 2005 and 2008, respectively, he received MSc and Ph.D. from Tohoku University in Japan. He was with Tohoku University from 2008 until 2010, first as a Japan Society for the Promotion of Science (JSPS) postdoctoral fellow and later as an Assistant Professor. He joined Alcatel-Lucent Bell (now Nokia Bell) in 2010 as a Physical-layer Expert and later moved to Nokia Bell Labs as Department Head. Since April 2020, he has joined RWTH Aachen University. He is the head of the Chair for Distributed Signal Processing and co-director of the Institute for Communication Technologies and Embedded Systems. His professional interests are related to broad areas of digital signal processing and artificial intelligence with applications in wireless communications. He is a fellow of IEEE and a distinguished lecturer of IEEE Vehicular Technology Society with numerous scientific publications (journals, conferences, and patents) and invited/tutorial talks. He is a recipient of several Nokia innovation awards, IEICE Communications Society Best Paper Award in 2021, IEICE Communication System Study Group Best Paper Award (joint 2014, 2015, 2017), The 2013 Alcatel-Lucent Award of Excellence, the 2012 KDDI Foundation Research Award, the 2009 KDDI Foundation Research Grant Award, the 2008 JSPS Postdoctoral Fellowships for Foreign Researchers, the 2005 Active Research Award in Radio Communications, 2005 Vehicular Technology Conference (VTC 2005-Fall) Student Paper Award from IEEE VTS Japan Chapter and the 2004 Institute of IEICE Society Young Researcher Award. Furthermore, he served as an Associate Editor of IEEE Communications Magazine, associate editor of IEICE Transactions on Communications and IET Communications. In addition, he acted as a general chair and technical program committee member of various IEEE conferences.

 

Tareq Amin

Bio: Tareq Amin, CTO of Rakuten Group and CTO of Rakuten Mobile, is leading the design and rollout of the company’s next generation fully virtualized cloud native mobile network in Japan. Leveraging technologies across the cloud, virtualization, Open RAN and end-to-end automation, the Rakuten Mobile network offers greater flexibility, scalability, security and resiliency, and revolutionizes the way mobile services are provided and consumed. Full-scale commercial 4G service began in April 2020, with 5G service launch following in September of the same year. Amin is also the CEO of Rakuten Symphony, a newly launched business organization created to empower the global adoption of cloud-native open RAN infrastructure and services — including the Rakuten Communications Platform (RCP) — by mobile network operators, enterprises and government bodies. With a career in the mobile network industry of almost two decades, prior to joining Rakuten in 2018, Amin was a key contributor to the transformation of the mobile industry in India as Senior Vice President of Technology Development and Automation for Reliance Jio. Prior to that, he served as Vice President of Carrier Solutions for Huawei and as Senior Director of National Planning & Performance at T-Mobile. Amin holds a bachelor’s degree in Electrical Engineering and Physics from Portland State University in Oregon.

Deadlines:
Workshop paper submissions due EXTENDED: 23 March 2022
Acceptance notification: 17 April 2022
Final paper submission due: 1 May 2022

For additional information, please visit: https://edge-ai.wixsite.com/vtc22s

To submit a paper to this workshop, please visit: https://vtc2022s-rr-wks.trackchair.com/track/2051