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Beamforming Design for Hybrid Active-Passive RIS Assisted Integrated Sensing and Communications

Authors :
Liao, Chikun
Wang, Feng
Han, Guojun
Huang, Yongwei
Lau, Kin Nang
Liao, Chikun
Wang, Feng
Han, Guojun
Huang, Yongwei
Lau, Kin Nang
Publication Year :
2023

Abstract

In this letter, we investigate the robust beamforming design for a hybrid active-passive reconfigurable intelligent surface (RIS) assisted integrated sensing and communication (ISAC) system, where the RIS consists of both active and passive reflecting elements. Different from the existing works, we consider the target location estimation error. We aim to maximize the minimum sensing beampattern gain among multiple targets, subject to the signal-to-interference-plus-noise ratio (SINR) constraint for each communication user (CU), the transmit power constraints for the BS and the active elements. To address the non-convexity of the max-min RIS-assisted ISAC design problem, we propose an alternating-optimization based design solution to alternately optimize the BS’s transmit beamforming design and the hybrid RIS’s coefficient matrix in a low-complexity manner. Simulation results demonstrate the benefit of the proposed design scheme over the existing baseline schemes. IEEE

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1405235527
Document Type :
Electronic Resource