Title: Reconfigurable Distributed Antennas and Reflecting Surface (RDARS): A New Architecture for Wireless Communications
时间:2025.1.7 星期二 14:00-15:30
Abstract
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 modes 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, the RDARS-enabled new paradigm of integrated sensing and communications is briefly introduced with a practical demo to showcase the high flexibility and potential of RDARS.
Short Biography
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 was 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.