In this paper, we investigate a reconfigurable intelligent surface (RIS) aided multi-pair communication system, in which multi-pair users exchange information via an RIS. We derive an approximate expression of the achievable rate by assuming that statistical channel state information (CSI) is available. A genetic algorithm (GA) to solve the rate maximization problem is proposed as well. In particular, we consider implementations of RISs with continuous phase shifts (CPSs) and discrete phase shifts (DPSs). Simulation results verify the correctness of the obtained results and show that the proposed GA method has almost the same performance as the globally optimal solution. In addition, numerical results show that three quantization bits can achieve a large portion of the sum achievable rate for the CPSs setup.
@article{arxiv.2007.11704,
title = {Analysis and Optimization for RIS-Aided Multi-Pair Communications Relying on Statistical CSI},
author = {Zhangjie Peng and Tianshu Li and Cunhua Pan and Hong Ren and Wei Xu and Marco Di Renzo},
journal= {arXiv preprint arXiv:2007.11704},
year = {2021}
}
Comments
Accepted by IEEE Transactions on Vehicular Technology. Keywords: Reconfigurable intelligent surface (RIS), intelligent reflecting surface (IRS), statistical channel state information (CSI)