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W6: First IEEE Workshop on Task-Oriented Communications and Networking for 6G - VTC2023-Fall HK

W6: First IEEE Workshop on Task-Oriented Communications and Networking for 6G

Co-organizer: Osvaldo Simeone, King’s College London, United Kingdom
Co-organizer: Aylin Yener, Ohio State University, USA
Co-organizer: Dongzhu Liu, University of Glasgow, United Kingdom
Co-organizer: Dingzhu Wen, Shanghai Tech University, China

Workshop Program:

IEEE VTC23-Fall Workshop6 Schedule Time: Oct.10 13:30 – 17:20, Venue: Meeting Room 3.

13:30 – 14:10 Opening Keynote Speech by Prof. Aylin Yener

14:20 – 14:55 Keynote Speech 2 by Prof. Kaibin Huang

14:55 – 15:25 Oral Session 1 (2 papers, 15 mins for each)

l  Paper 1: Yupeng Jiang, Lijun Zhang, A Fano Decoding for Polar Codes Based on Node Acceleration

l  Paper 2: Fangzhou Zhao, Gaurav Bagwe, Ezedin Mohammed, Lei Feng, Lan Zhang, Yao Sun, Joint Computing Resource and Bandwidth Allocation for Semantic Communication Networks

15:25-16:00 Keynote Speech 3 by Prof. Deniz Gunduz

16:00-16:35 Keynote Speech 4 by Prof. Jun Zhang

16:35-17:20 Oral Session 2 (3 papers, 15 mins for each)

l  Paper 3: Jie Guo, Ce Xu, Yushi Ling, Yuan Liu, Qi Yu, Latency Minimization for Split Federated Learning

l  Paper 4: Yifan Chen, Zhuoquan Yu, Christine Mwase, Yi Jin, Xin Hu, Lirong Zheng, Zhuo Zou, Self-aware Collaborative Edge Inference with Embedded Devices for Task-oriented IioT

l  Paper 5: Kuangda Tian, Hao Wang, Task Importance-Oriented Probabilistic Constellation Shaping for 5G Uplink transmission


Abstract: In light of the advancements and challenges presented by 6G networks, the traditional Shannon bit-oriented communication framework faces critical hurdles. Traditionally, communication systems have prioritized the accurate transmission of bits over noisy channels. Shannon theory, the cornerstone of reliable communications, treats bits equally without consideration for their meaning or purpose. Recent efforts in semantic communications have aimed to transmit information with semantic meaning to reduce irrelevant data. However, these techniques fall short of adequately characterizing the importance of specific tasks at the receiver, such as making accurate inferences and taking timely, context-specific actions. Consequently, a task-oriented approach is required, focusing solely on the effective and efficient completion of tasks. In addition to that, human-machine interactions, where humans simultaneously engage with multiple devices using various commands, form an integral component. These developments fuel the need for task-oriented communications. Recent advances in artificial intelligence technologies have promoted interest and potential in these fields. However, our understanding of this concept is still nascent, with fundamental problems yet to be thoroughly investigated. To address this need, we are pioneering the organization of an IEEE workshop that aims to advance task-oriented techniques for the next generation of wireless communications and networking.

Task-oriented communications and networking is promising for fueling the future of intelligent technologies. However, the following challenges remain unresolved, including but not limited to the design of performance metrics for customized tasks, task-oriented information extraction strategies, data transmission techniques, quantization schemes, coding theory, communication protocols, and software and hardware platforms. The mentioned techniques span from signal processing of source information to physical layer transmission and network design, with their design driven by specific tasks. Moreover, the interplay among sensing, communication, and computation processes—information acquisition, data transmission, and information extraction and decision-making—requires thorough rethinking. Many researchers from academia and industry are actively exploring these topics, contributing to this emerging research field. The workshop organizers include both experienced and leading researchers in task-oriented and semantic communications and early career researchers that are active in this field. The workshop organizers are involved in multiple academic projects and, thus, well-positioned to promote and attract high-quality submissions from academia and industry. Furthermore, the workshop will feature renowned keynote speakers who will discuss the evolution of task-oriented communications and networking and its integration with other emerging technologies, making it highly appealing to a broad audience in the research community.

Co-organizer’s bios:

Osvaldo Simeone:

Osvaldo Simeone (Fellow, IEEE) is a Professor of Information Engineering with the Centre for Telecommunications Research at the Department of Engineering of King’s College London, where he directs the King’s Communications, Learning and Information Processing lab. He received an M.Sc. degree (with honors) and a Ph.D. degree in information engineering from Politecnico di Milano, Milan, Italy, in 2001 and 2005, respectively. From 2006 to 2017, he was a faculty member of the Electrical and Computer Engineering (ECE) Department at New Jersey Institute of Technology (NJIT), where he was affiliated with the Center for Wireless Information Processing (CWiP). His research interests include information theory, machine learning, wireless communications, neuromorphic computing, and quantum machine learning. Dr. Simeone is a co-recipient of the 2022 IEEE Communications Society Outstanding Paper Award, the 2021 IEEE Vehicular Technology Society Jack Neubauer Memorial Award, the 2019 IEEE Communication Society Best Tutorial Paper Award, the 2018 IEEE Signal Processing Best Paper Award, the 2017 JCN Best Paper Award, the 2015 IEEE Communication Society Best Tutorial Paper Award and of the Best Paper Awards of IEEE SPAWC 2007 and IEEE WRECOM 2007. He was awarded an Open Fellowship by the EPSRC in 2022 and a Consolidator grant by the European Research Council (ERC) in 2016. His research has been also supported by the U.S. National Science Foundation, the European Commission, the European Research Council, the Vienna Science and Technology Fund, the European Space Agency, as well as by a number of industrial collaborations including with Intel Labs and InterDigital. He is the Chair of the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society and of the UK & Ireland Chapter of the IEEE Information Theory Society. He is currently a Distinguished Lecturer of the IEEE Communications Society, and he was a Distinguished Lecturer of the IEEE Information Theory Society in 2017 and 2018. Dr. Simeone is the author of the textbook “Machine Learning for Engineers” published by Cambridge University Press, four monographs, two edited books, and more than 180 research journal and magazine papers. He is a Fellow of the IET, EPSRC, and IEEE.

Aylin Yener:

Aylin Yener (Fellow, IEEE) received the first B.Sc. degree in electrical and electronics engineering and the second B.Sc. degree in physics from Boğaziçi University, Istanbul, Turkey, and the M.S. and Ph.D. degrees in electrical and computer engineering from WINLAB, Rutgers University, New Brunswick, NJ, USA. She is currently the Roy and Lois Chope Chair of Engineering with The Ohio State University, Columbus, OH, USA, and a Professor of Electrical and Computer Engineering, Computer Science and Engineering, and Integrated Systems Engineering. Prior to joining The Ohio State University in 2020, she was a University Distinguished Professor of Electrical Engineering and the Dean’s Fellow with Pennsylvania State University, University Park, PA, USA, where she joined the Faculty as an Assistant Professor in 2002. She was a Visiting Professor of Electrical Engineering with Stanford University from 2016 to 2018, where she was a Visiting Associate Professor from 2008 to 2009. She was a Visiting Researcher with Telecom Paris Tech in 2016. Her current research interests include novel metrics and innovations for 6G and beyond, including semantic communications, information security and privacy of networked systems, green communications and computation, wireless distributed learning, and more generally in the fields of information theory, communication theory, and machine learning. She received the NSF CAREER Award in 2003, the Best Paper Award in Communication Theory from the IEEE International Conference on Communications in 2010, the Penn State Engineering Alumni Society (PSEAS) Outstanding Research Award in 2010, the IEEE Marconi Prize Paper Award in 2014, the PSEAS Premier Research Award in 2014, the Leonard A. Doggett Award for Outstanding Writing in Electrical Engineering at Penn State in 2014, the IEEE Women in Communications Engineering Outstanding Achievement Award in 2018, the IEEE Communications Society Best Tutorial Paper Award in 2019, and the IEEE Communications Society Communication Theory Technical Achievement Award in 2020. She was a Distinguished Lecturer of the IEEE Information Theory Society from 2019 to 2021, the IEEE Communications Society from 2018 to 2019, and the IEEE Vehicular Technology Society from 2017 to 2021. She is the Director-Elect of the IEEE Division IX for 2023. She served as the President for the IEEE Information Theory Society in 2020. She was also the Vice President in 2019, the Second Vice President in 2018, an Elected Member of the Board of Governors from 2015 to 2018, and the Treasurer of the IEEE Information Theory Society from 2012 to 2014. She served as the Student Committee Chair for the IEEE Information Theory Society from 2007 to 2011 and co-founded the Annual School of Information Theory in North America, in 2008. She is currently the Editor-in-Chief of the IEEE Transactions on Green Communications and Networking. She is on the Senior Editorial Board of IEEE Journal on Selected Areas in Communications and IEEE Journal on Selected Areas in Information Theory. She is also an Area Editor for Security and Privacy of the IEEE Transactions on Information Theory. She served as an Editor for IEEE Transactions on Communications from 2009 to 2012 and IEEE Transactions on Mobile Computing from 2017 to 2018, and an Editor and an Editorial Advisory Board Member for IEEE Transactions on Wireless Communications from 2001 to 2012. She also served as a Guest Editor for IEEE Transactions on Information Forensics and Security in 2011, IEEE Journal on Selected Areas in Communications in 2015 and 2022, and IEEE Journal on Selected Areas in Information Theory in 2021. She was the Technical Program Committee Chair for various symposia/tracks at the IEEE ICC, PIMRC, VTC, WCNC, and Asilomar in 2005, 2008–2014, and 2018, and ISIT in 2022.

Dongzhu Liu:

Dr. Dongzhu Liu is a lecturer (assistant professor) at the School of Computing Science, University of Glasgow. She received the PhD degree from the University of Hong Kong in 2019, and the B.Eng. degree from the University of Electronic Science and Technology of China (UESTC) in 2015. From 2019 to 2021, she was a postdoctoral research associate at the Department of Engineering, King’s College London. Her research interests include edge AI, federated learning, differential privacy and wireless communications. Dr. Liu is a co-author of a book chapter in Machine Learning and Wireless Communications and journal papers in IEEE Journal on Sel. Area Commun., IEEE Trans. Wireless Commun., IEEE Commun. Magazine, IEEE Trans. on Cognitive Commun. Netw. She also serves as a regular reviewer for the above journals and other international peerreviewed journals such as IEEE Wireless Commun. Magazine, IEEE Trans. Commun., IEEE Commun. Letters, and IEEE Wireless Commun. Letters. She has been a Technical Program Committee (TPC) member of IEEE ComSoc flagship conferences in wireless communications including Globecom, ICC and PIMRC. She received the Exemplary Reviewer for IEEE Trans. Wireless Commun. in 2017 and the outstanding teaching assistant award in 2018.

Dingzhu Wen:

Dr. Dingzhu Wen is currently an Assistant Professor of the School of Information Science and Technology at ShanghaiTech University. He received the Bachelor degree and the Master degree from the Department (School) of Information Science and Electronic Engineering of Zhejiang University in 2014 and 2017, respectively, and received the Ph. D. degree from the Department of Electrical and Electronic Engineering of The University of Hong Kong in 2021. His research interests include federated edge learning, edge artificial intelligent inference, integrated sensing-communication-computation, over-the-air computation, in-band full-duplex communications, and device-to-device communications. He served as the session chairs of APEMC 2022 and IEEE ICC 2023, the TPC members of IEEE ICC 2023, IEEE GlobeCom 2022, IEEE VTC-Fall 2020, and IEEE WCSP 2018, and the TPC co-chair of IEEE PIMRC 2023 workshop on Edge Learning for 5G Mobile Networks and Beyond. He was elected as the exemplary reviewer of IEEE Transactions on Communications in 2023.

Paper submission deadline: August 28, 2023
Acceptance notification: September 03, 2023
Final paper submission deadline:September 09, 2023

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