论文标题
依赖统计CSI的RIS辅助多对通信的分析和优化
Analysis and Optimization for RIS-Aided Multi-Pair Communications Relying on Statistical CSI
论文作者
论文摘要
在本文中，我们研究了可重构的智能表面（RIS）辅助多对通信系统，其中多对用户通过RIS进行交换信息。我们通过假设可以使用统计通道状态信息（CSI）来得出可实现率的近似表达。也提出了一种解决速率最大化问题的遗传算法（GA）。特别是，我们考虑使用连续相移（CPS）和离散相移（DPSS）的RISS实现。仿真结果验证了获得的结果的正确性，并表明所提出的GA方法的性能与全球最佳解决方案的性能几乎相同。此外，数值结果表明，三个量化位可以实现CPSS设置的可实现率的很大一部分。
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.
