报告题目：Reconfigurable Distributed Antennas and Reflecting Surface (RDARS): A New Architecture for Wireless Communications

主讲人：马少丹（澳门大学）

报告时间：2026年4月2日（星期四）10:30-11:30

报告地点：厦门大学翔安校区西部片区正信楼1号楼108会议室

报告摘要：

A new architecture "Reconfigurable Distributed Antennas and Reflecting Surface (RDARS) " will be introduced for future 6G wireless communications in this talk. Specifically, RDARS is a flexible combination of distributed antenna system (DAS) and reconfigurable intelligent surface (RIS). It inherits the low-cost and low-energy-consumption benefits of fully-passive RISs by default configuring all the elements as passive to perform the reflection mode. On the other hand, based on the design of the additional direct-through state, any element of the RDARS can be dynamically programmed to connect with the base station (BS) via fibers/wires and perform the connected mode as remote distributed antennas of the BS to transmit/receive signals. As such, this novel architecture exploits the benefits from both RIS and DAS with a controllable trade-off between the "reflection gain" and the "distribution gain" achieved via RDARS at the BS. Moreover, additional "selection gain" can be achieved from the reconfigurability of the operation mode for each element. Outage probability and ergodic achievable rate under maximum ratio combining (MRC) scheme at BS are analyzed in closed-forms to characterize the system behavior of the RDARS-aided system. Experimental results on a prototype of RDARS with 256 elements are also shown to demonstrate the superiority of the proposed RDARS. Particularly, the RDARS aided system with only one element operating in connected mode can achieve an additional 21% and 170% throughput improvement over DAS and RIS-aided systems, respectively. This confirms the high effectiveness and potential of the proposed RDARS for future 6G wireless systems. Finally, some applications of RDARS-aided systems for communication enhancement and integrated sensing and communications are briefly introduced to showcase the high flexibility and potential of RDARS.

报告人照片

报告人简介：

Dr. Shaodan Ma is a Professor at the Department of Electrical and Computer Engineering, and Associate Director of the State Key Laboratory of Internet of Things for Smart City, University of Macau (UM). She received her Ph.D. degree in electrical and electronic engineering from The University of Hong Kong in 2006, and joined UM in 2011. Her research interests include array signal processing, transceiver design, localization, integrated sensing and communication, mmWave/THz communications, massive MIMO, and machine learning for communications. She served as Executive Co-Chair for IEEE GLOBECOM 2026 and a symposium co-chair for various conferences including IEEE VTC2024-Spring, IEEE ICC 2021, 2019 & 2016, IEEE GLOBECOM 2016, IEEE/CIC ICCC 2019, etc. She is an IEEE ComSoc Distinguished Lecturer in 2024-2025 and has served as an Editor for IEEE Wireless Communications (2024-present), IEEE Communications Letters (2023), Journal of Communications and Information Networks (2021-present), IEEE Transactions on Wireless Communications (2018-2023), IEEE Transactions on Communications (2018-2023), and IEEE Wireless Communications Letters (2017-2022). She was the awardee of Macao Science and Technology Awards (3rd prize, Natural Science Award) in 2022.

邀请人：信息与通信工程系 肖亮教授