In this paper, a hybrid IRS-aided amplify-and-forward (AF) relay wireless network is put forward, where the hybrid IRS is made up of passive and active elements. For maximum signal-to-noise ratio (SNR), a low-complexity method based on successive convex approximation and fractional programming (LC-SCA-FP) is proposed to jointly optimize the beamforming matrix at AF relay and the reflecting coefficient matrices at IRS. Simulation results verify that the rate achieved by the proposed LC-SCA-FP method surpass those of the benchmark schemes, namely the passive IRS-aided AF relay and only AF relay network.
@article{arxiv.2311.13893,
title = {Beamforming Design for Hybrid IRS-aided AF Relay Wireless Networks},
author = {Xuehui Wang and Yifan Zhao and Feng Shu and Yan Wang},
journal= {arXiv preprint arXiv:2311.13893},
year = {2023}
}
Comments
arXiv admin note: substantial text overlap with arXiv:2301.02858