论文标题
部分可观测时空混沌系统的无模型预测
Efficient Optimization Techniques for RIS-aided Wireless Systems
论文作者
论文摘要
本文的目的是开发简单的技术来增强多用户RIS辅助无线系统的性能。具体而言，我们开发了一种称为\ textIt {Channel Spairation}的新型技术，该技术可以更好地理解RIS阶段如何影响ZF和MMSE线性接收器的上行链路总和速率和总和率。利用通道分离，我们提出了一种简单的迭代算法，以提高上行链路总和速率和ZF和MMSE线性接收器的总和速率，当考虑离散RIS阶段时。对于连续的RIS阶段，我们得出简单的封闭式解决方案，以增强上行链路和减少MMSE组合仪的总均方根误差。后一个度量是最大化ZF和MMSE的总和率的替代方法。对所有优化技术进行了数值模拟，并将每种技术的有效性与完整的数值优化过程进行了比较，即内部点（IP）算法。
The objective of this paper is to develop simple techniques to enhance the performance of multi-user RIS aided wireless systems. Specifically, we develop a novel technique called \textit{channel separation} which provides a better understanding of how the RIS phases affect the uplink sum rate and sum rates for ZF and MMSE linear receivers. Leveraging channel separation, we propose a simple iterative algorithm to improve the uplink sum rate and the sum rates of ZF and MMSE linear receivers when discrete RIS phases are considered. For continuous RIS phases, we derive simple closed form solutions to enhance the uplink sum rate and reduce the total mean square error of the MMSE combiner. The latter metric is a tractable alternative to maximizing sum rates for ZF and MMSE. Numerical simulations are performed for all optimization techniques and the effectiveness of each technique is compared to a full numerical optimization procedure, namely an interior point (IP) algorithm.
