From the 1 of 16 linked papers with an AI index.
6 papers · 1 filter
Mode Switching for RDARS-Aided ISAC Systems: From Optimization to Deep Unfolding
Chengwang Ji, Haiquan Lu, Qiaoyan Peng +3
The paper studies how to improve integrated sensing and communication (ISAC) systems that use reconfigurable distributed antennas and reflecting surfaces (RDARS) by introducing mut…
Deep Learning-Based Channel Extrapolation for Dual-Band Massive MIMO Systems
Qikai Xiao, Kehui Li, Binggui Zhou +1
Future wireless communication systems will increasingly rely on the integration of millimeter wave (mmWave) and sub-6 GHz bands to meet heterogeneous demands on high-speed data tra…
Joint Sparsity and Beamforming Design for RDARS-Aided Systems
Chengwang Ji, Haiquan Lu, Qiaoyan Peng +2
Reconfigurable distributed antennas and reflecting surface (RDARS) has emerged as a promising architecture for communication and sensing performance enhancement. In particular, the…
Model-Driven Deep Learning Enhanced Joint Beamforming and Mode Switching for RDARS-Aided MIMO Systems
Chengwang Ji, Kehui Li, Haiquan Lu +4
Reconfigurable distributed antenna and reflecting surface (RDARS) is a promising architecture for future sixth-generation (6G) wireless networks. In particular, the dynamic working…
Bridge Micro-Deformation Monitoring Scheme with Integrated Sensing and Communications
Boxuan Sun, Hongliang Luo, Shaodan Ma +1
In this paper, we propose a novel integrated sensing and communications (ISAC) scheme to perform bridge micro-deformation monitoring (BMDM) in complex environments. We first provid…
Reconfigurable Codebook-Based Beamforming for RDARS-Aided mmWave MU-MIMO Systems
Chengwang Ji, Qing Xue, Haiquan Lu +4
Reconfigurable distributed antenna and reflecting surface (RDARS) is a new architecture for the sixth-generation (6G) millimeter wave (mmWave) communications. In RDARS-aided mmWave…