Analysis and Optimization for RIS-Aided Multi-Pair Communications Relying on Statistical CSI
arXiv:2007.11704
Abstract
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.
arXiv commentAccepted by IEEE Transactions on Vehicular Technology. Keywords: Reconfigurable intelligent surface (RIS), intelligent reflecting surface (IRS), statistical channel state information (CSI)
References in corpus (5)
- Power Scaling of Uplink Massive MIMO Systems with Arbitrary-Rank Channel Means
- Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer
- Multiuser Full-Duplex Two-Way Communications via Intelligent Reflecting Surface
- Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces
- Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing