From the 1 of 5 linked papers with an AI index.
5 papers
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…
Out-of-Band Modality Synergy Based Multi-User Beam Prediction and Proactive BS Selection with Zero Pilot Overhead
Kehui Li, Binggui Zhou, Jiajia Guo +3
Multi-user millimeter-wave communication relies on narrow beams and dense cell deployments to ensure reliable connectivity. However, tracking optimal beams for multiple mobile user…
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…
Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems Under High-Mobility Scenarios
Binggui Zhou, Xi Yang, Shaodan Ma +2
In time division duplexing (TDD) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, downlink channel state information (CSI) can be obtained from uplin…