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From the 1 of 5 linked papers with an AI index.

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5 papers

eess.SP2026

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…

cs.IT2026

A New Paradigm Towards Reconfigurable Environment: Reconfigurable Distributed Antennas and Reflecting Surface

Jintao Wang, Pingping Zhang, Chengzhi Ma +4

Reconfigurable distributed antennas and reflecting surface (RDARS) has emerged as a transformative solution to address the stringent requirements of future wireless networks. By co…

eess.SP2026

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…

eess.SP2025

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…

eess.SP2025

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…