题目一：Pinching-Antenna Systems (PASS) for Next-Generation Wireless: Fundamentals, Case Studies, and Open Challenges
内容简介：Pinching-antenna systems (PASS) represent an emerging class of flexible-antenna technologies for next-generation wireless communications. By utilizing low-loss dielectric waveguides to transmit signals and pinching antennas (PAs) with adjustable positions to radiate them into free space, PASS enables dynamic, energy-efficient, and spatially adaptive communication. This talk will introduce the fundamentals of PASS, including its signal modelling and transmission architecture. We will then explore several representative case studies involving both single-waveguide and multi-waveguide scenarios—covering pinching beamforming designs, multiple access strategies, and physical layer security (PLS) techniques. The talk will conclude with a discussion of key open problems and future research directions for PASS.
报告人：Xidong Mu
报告人简介：Assistant Professor with the Centre for Wireless Innovation (CWI), School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, U.K. His research interests include reconfigurable intelligent surfaces, non-orthogonal multiple access, optimization theory, and B5G/6G networks. He received the IEEE ComSoc Outstanding Young Researcher Award for Europe, Middle East, & Africa (EMEA) region in 2023 and was listed as one of the World's Top 2% Scientists by Stanford University in 2022. He is the co-recipient of the 2024 IEEE Communications Society Heinrich Hertz Award, the Best Paper Award in ISWCS 2022, the 2022 IEEE SPCC-TC Best Paper Award, and the Best Student Paper Award in IEEE VTC2022-Fall. He serves as an Editor of IEEE Transactions on Communications, a Guest Editor for IEEE Journal on Selected Areas in Communications Special Issue on “Multi-functional Programmable Metasurfaces for 6G and Beyond”, IEEE Transactions on Cognitive Communications and Networking Special Issue on “Machine Learning and Intelligent Signal Processing for Near-Field Technologies”, IEEE Internet of Things Journal Special Issue on “Next Generation Multiple Access for Internet-of-Things”, and the “Mobile and Wireless Networks” symposium co-chair of IEEE GLOBECOM 2025. He serves as the Public Engagement and Social Networks Coordinator of IEEE ComSoC SPCC Technical Committee, the secretary of the IEEE ComSoc Next Generation Multiple Access (NGMA) Emerging Technology Initiative and the Special Interest Group (SIG) in SPCC Technical Committee on Signal Processing Techniques for NGMA.
时 间：2025年7月29日（周二）上午10:30开始
地点：石牌校区南海楼124会议室
题目二：语义通感知的云-边-端网络资源优化研究
内容简介：智能化网络是未来通信系统发展的必然趋势。作为第六代移动通信技术（6G）及后续演进的核心，云边端智能深度融合人工智能与无线网络。然而，基于AI的任务通常计算密集，其依赖网络实体间的紧密协作；同时，海量节点信息交互带来巨大的传输开销。语义通信作为一种潜在的解决方案，有望实现高效卸载与可靠传输。本报告主要介绍面向受限物联网设备的语义感知云边端智能网络框架，旨在实现面向网络整体能量效率的资源优化。
报告人：冀泽霖
报告人简介：电子科技大学（深圳）高等研究院副研究员，硕士生导师。主要致力于利用机器学习优化通信和信号处理系统，结合通信，计算机，人工智能等学科交叉优势，从复杂性、泛化性、智能集成和快速适应性等现代通信系统需求出发，在理论和技术层面取得了突破。取得了一系列原创性研究成果和应用，以第一作者发表相关高水平论文10余篇，并参与多项国家级和省市级科研项目。目前担任IEEE JSAC, IEEE TWC等10多个国际通信主流期刊的审稿人和国际重要学术会议TPC Member等。曾获《移动通信》2023年度优秀论文奖。
时 间：2025年7月29日（周二）上午11:30开始
地点：石牌校区南海楼124会议室
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信息科学技术学院
2025年7月28日