W23: Workshop on Digital Twin Networks for Next-Gen Mobile Ecosystems
Co-Organizer: Jun Cai, Concordia University, Canada
Co-Organizer: Zhou Su, Xi’an Jiaotong University, China
Co-Organizer: Changyan Yi, Nanjing University of Aeronautics and Astronautics, China
Co-Organizer: Samuel D. Okegbile, University of the Fraser Valley, Canada
Abstract: The Workshop on Digital Twin Networks (DTNs) for Next-Gen Mobile Ecosystems will explore the transformative potential of DTNs in shaping the future of mobile networks and applications. As nextgeneration mobile ecosystems evolve toward ultra-dense 6G connectivity and immersive-interactive services, DTNs have emerged as critical enablers for synchronizing physical infrastructure intelligence with dynamic service requirements. This workshop will bring together researchers, practitioners, and industry experts to discuss cutting-edge advancements in DTN technologies, focusing on their integration with AI, edge computing, and distributed intelligence to address challenges in predictive resource allocation, real-time analytics, and cross-domain optimization.
The workshop will feature keynote presentations, technical sessions, and interactive discussions, covering topics such as wireless architectures for 6G, generative AI for user-centric applications, data privacy and security, and energy-aware optimization in DTN-enabled environments. Participants will gain insights into scalable frameworks that harmonize AI-driven network control with the dynamic demands of mobile ecosystems, as well as practical implementations and case studies across industries like autonomous vehicles, IoT, and the Metaverse.
The workshop aims to chart a roadmap for DTN-powered mobile networks that balance technological innovation with real-world applicability. It will provide a platform for sharing the latest research, discussing challenges, and exploring future directions, ensuring attendees leave with actionable knowledge to drive the next wave of innovation in mobile ecosystems. This event is a must-attend for anyone interested in the forefront of DTN research and its practical applications in next-gen mobile networks.
Program:
19 October, 2025 – Crystal Ballroom 3 – 14:00 – 17:30
Opening Speech
14:00-14:10
Keynote: Digital Twin Assisted Intelligent Transportation System
Speaker: Xiaolong Li (Hunan University of Technology and Business)
14:10-14:40
DTFedCP: Digital Twin Enabled Personalized Client Selection and Privacy Protection in Federated Learning under Data Heterogeneity
Authors: Xijun Zhao, Gang Li (Inner Mongolia University)
14:40-14:55
RAN Twin-aided Handover for 6G Networks
Authors: Yekaterina Kim, Igbafe Orikumhi, Nakyung Lee, Sunwoo Kim (Hanyang University)
14:55-15:10
Reliability-Aware Online Learning for Layer-Sharing-Based Digital Twin Deployment in Multi-Edge Systems
Authors: You Shi (Nanjing Tech University); Yuye Yang, Ruoyang Chen (Nanjing University of Aeronautics and Astronautics); Chen Dai (Nanjing University of Posts and Telecommunications); Jiantao Shi (Nanjing Tech University)
15:10-15:25
Coffee Breack
15:30-16:00
Digital Twin Network-Driven Multi-UAV Covert Communication with Informed Jammers
Authors: Xiang Zhao, Wencong Lu, Junyi Wang, Jie Peng (Guilin University of Electronic Technology)
16:00-16:15
Chartwin: a Case Study on Channel Charting-aided Localization in Dynamic Digital Network Twins
Authors: Lorenzo Cazzella, Francesco Linsalata, Mahdi Maleki (Politecnico di Milano); Damiano Badini (Huawei Italy Research Center); Matteo Matteucci, Umberto Spagnolini (Politecnico di Milano)
16:15-16:30
Accelerating Federated Digital Twin Services with Fractal Generative Task Scheduling in ITS
Authors: Xiaolong Li, Huimin Lei, Yi Liu, Zhaoxing Zou, Yi Xiong, Huihuang Liu, Bin Wang, Junhao Yang, Yang Liu, Li Dong (Hunan University of Technology and Business)
16:30-16:45
(Virtual Presentations) State-Aware Age of Information: Evaluating Content-Relevant Freshness in Wireless Systems
Authors: Dazhi Wang, Siyuan Zhou (Hohai University)
16:45-17:00
End
Organizer’s Bios:
Jun Cai
Jun Cai (Senior Member, IEEE) received the Ph.D. degree in Electrical Engineering from the University of Waterloo, Waterloo, ON, Canada, in 2004. From 2004 to 2006, he was a Postdoctoral Fellow with the Natural Sciences and Engineering Research Council of Canada, McMaster University, Hamilton, ON, Canada. From 2006 to 2018, he was with the Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada, where he was a Full Professor and the NSERC Industrial Research Chair. In 2019, he joined the Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada, as a Full Professor and the University PERFORM Research Chair. His current research interests include human digital twin, distributed learning, edge/fog computing, eHealth, radio resource management in wireless communications networks, and performance analysis. He is currently the IEEE VTS Distinguished Lecturer. He served on the Editorial Board of the IEEE Internet of Things Journal, IEEE Wireless Communications Magazine, IEEE Systems Journal and IEEE Access. He also served as the General Chair for 2023 Biennial Symposium on Communications, the Technical Program Committee (TPC) Co-Chair for IEEE GreenCom 2018, and the Track/Symposium TPC Co-Chair for IEEE VTC 2019, IEEE CCECE 2017, IEEE VTC 2012, IEEE GLOBECOM 2010, and IWCMC 2008.
Zhou Su
Zhou Su (Senior Member, IEEE) received the Ph.D. degree from Waseda University, Tokyo, Japan, in 2003. His research interests include multimedia communications, wireless communications, and
network traffic management. He is currently a TPC Member of some flagship conferences, including IEEE INFO-COM, IEEE ICC, and IEEE Globecom. He was the recipient of the Best Paper Award of the International Conference IEEE BigdataSE 2019, TEEE ComSocGCCTC 2018, IEEECyber-SciTech 2017, and the Funai Information Technology Award for Young Researchers, in 2009. He is also the Chair of the Multimedia Services and Applications over Emerging Networks Interest Group (MENIG), the IEEE Comoc Society, and the Multimedia Communications Technical Committee. He also was the Co-Chair for several international conferences, including the IEEE Vehicular Technology Conference (VTC) Spring 2016 and the IEEE Consumer Communications and Networking Conference (CCNC) 2011.
Changyan Yi
Changyan Yi (Senior Member, IEEE) received the Ph.D. degree in electrical and computer engineering from the University of Manitoba, MB, Canada, in 2018. He is currently a Professor with the College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China. His research interests include stochastic optimization, game theory, incentive mechanism, queueing scheduling and artificial intelligence with applications in resource management and decision making for various communication and networking systems.
Samuel D. Okegbile
Samuel D. Okegbile (Member, IEEE) received the Ph.D. in Computer Engineering from the University of Pretoria, South Africa, in 2021. From 2021 to 2024, he was a Postdoctoral Fellow in the Network Intelligence and Innovation Laboratory, Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada. He is currently an Assistant Professor in the School of Computing at the University of the Fraser Valley, Canada. His research focuses on digital twin networks and applications, with interests spanning the IoT, secure and privacy-preserving data sharing, AI, wireless communication networks, and blockchain technology. He has received several notable awards, including the Horizon Postdoctoral Scholarship, the SENTECH Scholarship, and the University of Pretoria Doctoral Scholarship. In 2023, he served as the Publication Chair for the Biennial Symposium on Communications. He is currently a Guest Editor for a special issue on digital twins and IoT in the Journal of Applied Science. Additionally, he is a regular Technical Program Committee (TPC) member for IEEE VTC conferences and frequently reviews for various IEEE journals and conferences.