MobiArch 2025
Workshop on Mobility in the Evolving Internet Architecture to be held in conjunction with MobiCom 2025
Hongkong, China, 8th Nov., 2025
Technical Program
9:00 - 9:10 : Welcome Notes, Best Paper Award announcement
9:10 - 10:10 : Keynote 1 :"Semantic Communications Based on Generative AI"
Dr. Tomoaki Otsuki |
Abstract: Semantic communication is a new communication paradigm that aims to efficiently convey the "meaning" of information, unlike traditional digital communication. The concept was first proposed by Weaver in 1949 but was long neglected due to technological limitations. In recent years, however, advances in AI technology have led to the practical application of the
necessary basic technology, and research is progressing rapidly. Semantic communication is also attracting attention as a promising technology for intelligent applications after 6G. This paper outlines the basic concepts of semantic communication, the technological progress through Generative AI, application examples, and future challenges. This keynote further presents a cutting-edge semantic communication framework tailored for vehicular communication scenarios, where key information is extracted from camera data and transmitted among vehicles and road infrastructure. The keynote will conclude by outlining open challenges and research directions.
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Bio: Tomoaki Otsuki (Ohtsuki) received the B.E., M.E., and Ph. D. degrees in Electrical Engineering from Keio University, Yokohama, Japan in 1990, 1992, and 1994, respectively. From 1994 to 1995, he was a post-doctoral fellow and a Visiting Researcher in Electrical Engineering at Keio University. From 1993 to 1995, he was a Special Researcher at the Fellowships of the Japan Society for the Promotion of Science for Japanese Junior Scientists. From 1995 to 2005, he was with the Science University of Tokyo. In 2005, he joined Keio University. He is now a Professor at Keio University. From 1998 to 1999, he was with the department of electrical engineering and computer sciences, University of California, Berkeley. He is engaged in research on wireless communications, optical communications, signal processing, and information theory. Dr. Ohtsuki is a recipient of the 1997 Inoue Research Award for Young Scientist, the 1997 Hiroshi Ando Memorial Young Engineering Award, Ericsson Young Scientist Award 2000, 2002 Funai Information and Science Award for Young Scientist, IEEE the 1st Asia-Pacific Young Researcher Award 2001, the 5th International Communication Foundation (ICF) Research Award, 2011 IEEE SPCE Outstanding Service Award, the 27th TELECOM System Technology Award, ETRI Journal’s 2012 Best Reviewer Award, 9th International Conference on Communications and Networking in China 2014 (CHINACOM ’14) Best Paper Award, 2020 Yagami Award, The 26th Asia-Pacific Conference on Communications (APCC2021) Best Paper Award, International Conference on Internet of Things, Communication and Intelligent Technology (IoTCIT) 2024 Best Paper Award, and the 2024 6th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI2024) Best Paper Award. He has published more than 325 journal papers and 550 international conference papers. He served as a Chair of IEEE Communications Society, Signal Processing for Communications and Electronics Technical Committee. He served as a technical editor of the IEEE Wireless Communications Magazine and an editor of Elsevier Physical Communications. He is now serving as an Area Editor of the IEEE Transactions on Vehicular Technology and an editor of the IEEE Communications Surveys and Tutorials. He is also serving as the IEEE Communications Society, Asia Pacific Board Director. He has served as general-co chair, symposium co-chair, and TPC co-chair of many conferences, including IEEE GLOBECOM 2008, SPC, IEEE ICC 2011, CTS, IEEE GLOBECOM 2012, SPC, IEEE ICC 2020, SPC, IEEE APWCS, IEEE SPAWC, and IEEE VTC. He gave tutorials and keynote speeches at many international conferences including IEEE VTC, IEEE PIMRC, IEEE WCNC, and so on. He was Vice President and President of the Communications Society of the IEICE, also he was a distinguished lecturer of the IEEE. He is a fellow of the IEICE, a Fellow of Asia-Pacific Artificial Intelligence Association (AAIA), a senior member of the IEEE, and a member of the Engineering Academy of Japan. |
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10:10 - 10:30 : Break
10:30 - 12:00 : Technical Session 1 : Advanced Networking Technologies
Session Chair: Dr. Huimin Zhong (Fudan University & Zhuhai Fudan Innovation Research Institute)
Youming Tao, Shuzhen Chen, Kai Li, Dongxiao Yu, Xiuzhen Cheng, and Falko Dressler, "Differentially Private Matroid Bandits for Online Network Topology Optimization"
Shulun Wu, Congwei Zhang, Yifei Zou, Guangyong Shang, Zhen Ma, Xiaoming Wang, Xuejian Chi, and Dongxiao Yu, "An Adaptive Backbone Construction for IPv6-Based IoT Networks"
Hannaneh B. Pasandi, Mohammad Hosseini, Sina Dorabi, Juan A. Fraire, and Franck Rousseau"Adaptive Orbital Direct-to-Device: Rethinking Satellite IoT Architectures
Shiqiang Li, Xinghai Wei, Jie Yuan, Xingwu Wang, and Keji Miao, "Secure Model Context Protocol for Large Language Models with Dual Signatures"
12:00 - 14:00 : Lunch Break
14:00 - 15:00 : Keynote 2: "From Microcontrollers to Servers: Building Efficient and Trustworthy AI Systems Across the Computing Spectrum"
Dr. Huangxun Chen (Amy) |
Abstract: Artificial intelligence today spans an unprecedented range of platforms, from microcontrollers at the network edge to large-scale servers hosting foundation models. Achieving efficiency and trustworthiness across this diverse computing spectrum is essential to realizing ubiquitous and dependable AI. In this talk, I will share our recent research efforts addressing these two intertwined challenges. In the first part, I will focus on efficiency. I will present AdaptQNet, which optimizes quantized deep neural networks on microcontrollers by adaptively utilizing heterogeneous processing units to achieve high performance under stringent resource constraints. I will then present our recent work, a co-designed framework that accelerates Mixture-of-Experts (MoE) LLM inference on resource-constrained single-GPU servers. Our design integrates a task-adaptive mixture-of-predictors with predictor-guided cache orchestration to minimize pipeline stalls during expert offloading and maximize end-to-end efficiency. In the second part, I will turn to trustworthiness, introducing our recent effort, a compression-aware semantic robustness training scheme that unifies model compression and robustness certification. By guiding pruning mask optimization toward flatter loss regions, this approach produces compact models that maintain consistent and reliable predictions under real-world semantic variations. Finally, I will conclude with a forward-looking perspective on cross-layer AI co-design, spanning hardware architecture to AI models, and discuss open challenges in realizing efficient and trustworthy intelligence at scale.
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Bio: Dr. Huangxun Chen is an Assistant Professor in IoT Thrust with a joint appointment in AI Thrust at Information Hub, Hong Kong University of Science and Technology (Guangzhou), and Affiliated Assistant Professor at HKUST. Before joining HKUST (GZ), she worked as a Researcher at Huawei Hong Kong Research Center. She received her B.S. degree from Shanghai Jiao Tong University and her Ph.D. in Computer Science and Engineering from Hong Kong University of Science and Technology. Dr. Chen’s research is interdisciplinary, spanning edge and embedded AI systems, network management, AI agents, and AIoT security. Her first-authored paper received the Best Paper Award at ACM SIGCOMM 2022, the first time this honor was awarded to a researcher from the Greater China region. She was invited to present her work at the Internet Engineering Task Force (IETF). She serves on the Technical Program Committees and as a reviewer for leading international conferences and journals, including ACM MobiSys, IEEE ICDCS, IEEE/ACM IWQoS, ACM IMWUT/UbiComp, CHI, AAAI, NeurIPS and IEEE IoTJ. She is an Executive Committee Member of the CCF Technical Committee on Pervasive Computing. She has been selected for China Ministry of Education’s Overseas Talent and also Guangdong Pearl-River Top Young Talent. |
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15:00 - 15:20 : Break
15:20 - 17:00 : Technical Session 2 : Advanced Technologies for Wireless Communication
Session Chair: Prof. Stephan Sigg (Aalto University)
Yijia Liu, Zhibo Pang, Xiaohui Li, and Yuemin Ding, "Open 5G for Industrial Control Systems: Demands, Status, and Gaps"
Jiaqing Bai and Xiaohong Jiang, "Maximum-Likelihood Channel Estimation for Covert Communication in Relay Systems"
Xiao Yu He, Weicai Li, Tiejun Lv, Yingping Cui, and Kai Li,"Priority-Aware Multi-Agent Q-Learning Routing for Decentralized Wireless Federated Learning"
Marvin Illian, Björn Luchterhandt, and Lin Wang, "Band Switching for Mobile Energy Optimization in 5G Networks and Beyond"