Submission Deadline Extended to 13 March 2025
W11: AI-Driven Connectivity for Vehicular and Wireless Networks
Honorable Chair: Hiroshi Esaki, The University of Tokyo, Japan
Honorable Chair: Tarik Taleb, Ruhr University Bochum, Germany
Co-Organizer: Melodia Tommaso, Northeastern University, USA
Co-Organizer: Rui Dinis, University Lisbon, Portugal
Co-Organizer: Yusheng Ji, National Institute of Informatics, Japan
Co-Organizer: Francesca Cuomo, Sapienza University of Rome, Italy
Co-Organizer: Jin Nakazato, University of Tokyo, Japan
Workshop Program:
9:00~9:05 Opening Address Prof. Rui Dinis, Instituto de Telecomunicações, Nova University Lisbon
9:00~9:45 Keynote Speech I Prof. Stephan Sigg, Aalto University
9:45~10:30 Keynote Speech II Mr. Satoshi Nagata, NTT docomo, Inc.
10:30~11:00 Coffee Break
11:00~12:38 Technical Session I
12:38~14:00 Lunch Time
14:00~14:45 Keynote Speech III Prof. Walid Saad, Virginia Tech
14:45~15:27 Technical Session II
15:27~15:30 Closing Prof. Jin Nakazato, The University of Science
Technical Session I
Fan-Shuo Tseng, Tsung-Yi Wang, Chin-ioi Lao, “Hybrid Model-Based and Data-Driven DRL Optimization Approach: A Novel DRL Design to Accelerate Convergence”
Fan Jiang, Xining Liu, Xuewei Zhang, “Joint Caching and Recommendation in Vehicular Networks with Federated Graph Learning”
Shion Inokuma, Goki Sawada, Haruya Ikeda, Daisuke Hisano, Kazuki Maruta, “Image Value-Based Spatial Stream Allocation in MIMO Deep Joint Source-Channel Coding for Extreme Environment”
Goki Sawada, Shion Inokuma, Daisuke Hisano, Kazuki Maruta, “Impact of Time-Varying Channels on MIMO DeepJSCC”
Jing Lu, Jinyu Liu, Lei Zhao, Yuan Jiang, “Resource Allocation in Vehicular Networks based on Hybrid Proximal Policy Optimization”
Fan-Shuo Tseng, Tsung-Yi Wang, Hao-Yu Wang, “Joint Beamforming and Reflector Design for Near-Field RIS-Assisted MISO Systems via DDPG Approach”
Xin Tian, Yafei Wang, Gangle Sun, Xinping Yi, Wenjin Wang, “Dual Transformer-Based Scalable Robust Precoding for Massive MIMO Transmission”
Technical Session II
Sojin Ozawa, Yuki Sasaki, Jin Nakazato, Kazuki Maruta, “Optimized Broad-Range Null-Steering Incorporated with O-RAN-Based Beam Tracking for Millimeter-Wave V2X”
Dou Hu, Jin Nakazato, Kazuki Maruta, Omid Abbassi Aghda, Rui Dinis, Manabu Tsukada, “A Low PAPR Layered Multi-User OTFS Modulation”
Yuki Sasaki, Salah Berra, Sourav Chakraborty, Jin Nakazato, Rui Dinis, Kazuki Maruta, “Newmann Series-based Precoding Weight Design for Multi-User Massive MIMO Null-Space Expansion”
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Abstract: As the era of 6G approaches, the expectations for AI-driven advancements in Radio Access Networks (AI-RAN) are expanding globally, signaling a significant shift in how wireless networks are designed, managed, and optimized. The integration of AI into RAN systems offers the potential to revolutionize network performance, enabling unprecedented efficiency, adaptability, and intelligence. However, defining AI’s specific role within RAN is a complex challenge, as its applications are highly context dependent and shaped by individual use cases, network environments, and technological constraints.
This workshop aims to create a dynamic and interactive forum for exploring these multifaceted applications, with a particular focus on addressing critical challenges in managing limited resources such as energy and spectrum. These resources, which serve as key performance indicators (KPIs) for 6G technologies, are at the heart of sustainable and high-performing networks. By investigating how AI can optimize their utilization, we seek to uncover solutions that are not only technically robust but also practical and scalable for real-world deployment.
To effectively evaluate these KPIs, it is essential to examine the application of AI across a diverse range of technological frameworks, with Open RAN and IoT technologies (e.g. LoRaWAN) representing prominent examples. These frameworks highlight the potential for AI to drive innovation in areas such as resource allocation, network interoperability, and adaptive decision-making. Furthermore, they exemplify the versatility of AI, demonstrating how it can be tailored to meet the specific demands of different deployment scenarios, from urban dense networks to rural and industrial IoT environments.
Our workshop will serve as a collaborative platform where participants can engage in deep-dive discussions on the transformative potential of AI in RAN, bridging the ga between theoretical advancements and practical implementations. Through expert presentations, case studies, and interactive panels, we will explore cutting-edge AI techniques, such as reinforcement learning, predictive analytics, and federated learning, in the context of their applicability to RAN. In doing so, we aim to foster meaningful collaboration among researchers, industry professionals, and technologists, promoting the exchange of ideas and the co-creation of innovative solutions.
Ultimately, this workshop is designed to inspire innovation, encourage cross-disciplinary cooperation, and provide actionable insights into the evolving landscape of AI driven RAN. By addressing the critical challenges of resource management and performance optimization, we hope to contribute to the advancement of sustainable and intelligent 6G networks, paving the way for a future where AI and RAN work seamlessly together to meet the growing demands of our interconnected world.
Co-Organizer’s Bios:
Melodia Tommaso:
Tommaso Melodia is the William Lincoln Smith Chair Professor with the Department of Electrical and Computer Engineering at Northeastern University in Boston. He is also the Founding Director of the Institute for the Wireless Internet of Things and the Director of Research for the PAWR Project Office. He received his Laurea (integrated BS and MS) from the University of Rome – La Sapienza and his Ph.D. in Electrical and Computer Engineering from the Georgia Institute of Technology in 2007. He is an IEEE Fellow and recipient of the National Science Foundation CAREER award. He was named a College of Engineering Faculty Fellow in 2017 and received the Søren Buus Outstanding Research Award in 2018 – the highest research award in the College of Engineering at Northeastern University. Prof. Melodia has served as Associate Editor fo IEEE Transactions on Wireless Communications, IEEE Transactions on Mobile Computing, Elsevier Computer Networks, among others. He has served as Technical Program Committee Chair for IEEE Infocom 2018, General Chair for IEEE SECON 2019, ACM Nanocom 2019, and ACM WUWnet 2014. Prof. Melodia is the Director of Research for the Platforms for Advanced Wireless Research (PAWR) Project Office, a $100M public-private partnership to establish 4 city-scale platforms for wireless research to advance the US wireless ecosystem in years to come. The PAWR Project Office is co lead by Northeastern University and US Ignite and is overseeing the overall deployment and operation of the PAWR Program. Prof. Melodia’s research on modeling, optimization, and experimental evaluation of Internet-of-Things and wireless networked systems has been funded by the National Science Foundation, the Air Force Research Laboratory the Office of Naval Research, DARPA, and the Army Research Laboratory.
Rui Dinis:
Rui Dinis received the Ph.D. degree from the Instituto Superior Técnico (IST), Technical University of Lisbon, Portugal, in 2001, and the Habilitation degree in telecommunications from the Faculdade de Ciências e Tecnologia (FCT), Universidade Nova de Lisboa (UNL), in 2010. He was a Researcher with the Centro de Análise e Processamentode Sinal (CAPS), IST, from 1992 to 2005, and a Researcher with the Instituto de Sistemas e Robótica (ISR), from 2005 to 2008. From 2001 to 2008, he was a Professor with IST. In 2003, he was an Invited Professor with Carleton University, Ottawa, Canada. Since 2009, he has been a Researcher with the Instituto de Telecomunicações (IT). He is currently an Associate Professor with the FCT–UNL. He has been actively involved in several international research projects in the broadband wireless communications area, such as RACE project MBS, ACTS project SAMBA, and IST projects B-BONE and C-MOBILE, and many national projects, most of them as a nuclear researcher and/or in charge of his research center in multi-institutional projects. He was involved in pioneer projects on the use of mm-waves for broadband wireless communications (international projects MBS and SAMBA). He has published six books, over 100 journal articles and book chapters, and over 300 conference papers (of which five received best papers’ awards), and over 18 patents (attributed or pending). His main research activities are on modulation and transmitter design, nonlinear effects on digital communications and receiver design (detection, equalization, channel estimation and carrier synchronization), with emphasis on frequency domain implementations, namely for MIMO systems and/or OFDM and SC-FDE modulations. He is also working on cross-layer design and optimization involving PHY, MAC, and LLC issues, and indoor positioning techniques. He is or was with the Organizing Committee of several international conferences, such as the IEEE conferences ICT’2014, VTC’2017-Fall, VTC’2018-Spring, and ISWCS’2018. He is also the President of VTS Portugal Chapter, since 2016 and a member of several technical committees of the IEEE Communications Society, such as SPCE, RCC, WC, and CT. He is an Editor of IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology and Physical Communication (Elsevier).
Yusheng Ji:
Yusheng Ji received the B.E., M.E., and D.E. degrees in electrical engineering from the University of Tokyo. She joined the National Center for Science Information Systems, Japan, in 1990. She is currently a Professor and the Director of the Information Systems Architecture Science Research Division, National Institute of Informatics and a Professor with the Graduate University for Advanced Studies (SOKENDAI), Japan. Her research interests include resource management in wireless networks and mobile computing.
Francesca Cuomo:
FRANCESCA CUOMO received the Ph.D. in Information and Communications Engineering in 1998 from Sapienza University of Rome. From 2005 to October 2020 she was Associate Professor and from November 2020 she joined “Sapienza” as Full Professor teaching courses in Telecommunication Networks. Prof. Cuomo has advised numerous master students in computer in computer engineering, and has been the advisor of 11 PhD students in Networking. From November 2021 she is the Chair of the Master’s Degree in Data Science of Sapienza. Her current research interests focus on: Vehicular networks and Sensor networks, Low Power Wide Area Networks and IoT, 5G Networks, Multimedia Networking, Energy saving in the Internet and in the wireless system. She has participated in several National and European projects on wireless network systems such as the RAMON, VICOM, INSYEME, IST WHYLESS, IST EPERSPACE, IST CRUISE, H2020 symbIoTe, H2020 Elegant. She has authored over 156 peer-reviewed papers published in prominent international journals and conferences.
Jin Nakazato
Jin Nakazato is currently a specially appointed Assistant Professor at the University of Tokyo. He also works as a technical advisor with Visban Corporation. He received B.E. and M.E. degrees from the University of Electro-Communications, Japan, in 2014 and 2016, respectively. He received a Ph.D. degree from the Tokyo Institute of Technology, Japan, in 2022. From 2016 to 2020, he was with Fujitsu Limited. From 2020 to 2022, he was with Rakuten Mobile, Inc. His research interests include Multi-access Edge Computing, NFV/SDN Orchestrator, V2X, Open RAN, UAV networks, and virtualization RAN. He is a Member of IEICE, IEEE, and WIDE Project. He received the Best Paper Award at the International Conference on Ubiquitous and Future Networks (ICUFN) in 2019 and 2024, respectively. He also received the Best Paper Award at the INFOCOM 2024, ICAIIC Excellent Paper Award, and ACM ICEA Best Paper Award. He serves as an editor of IEICE Communications Express (ComEX), a peer-reviewed open-access letter journal covering the field of communication, and International Journal of Computers Applications Associate Editor.
For additional information, please visit: AI-VWAN
To submit a paper, please visit: https://vtc2025s-rr-wks.trackchair.com/track/2368