论文标题
无线网络的最佳可重新配置智能表面选择
Optimum Reconfigurable Intelligent Surface Selection for Wireless Networks
论文作者
论文摘要
可重新配置的智能表面（RIS）是一项有前途的技术，预计可以在未来的无线通信网络中提高高频谱和能源效率。本文研究了RIS辅助无线网络中最佳的基于位置的RIS选择策略，以最大程度地提高端到端的信噪比，用于产品尺度和总和尺度路径模型，其中分别带有产品和发射器到电线的产品和RIS-RIS-RIS-to-Ris-to-Ris-to-eceiver距离。这些缩放定律涵盖了RIS辅助无线系统中端到端路径模型的重要情况。所有可用RIS的随机位置被建模为泊松点过程。为了量化网络性能，通过根据产品缩放和SUMSCALSCATING PATH-SLOSS模型来评估所提出的RIS选择策略所达到的中断概率和平均率。我们还提出了一个有限的反馈RIS选择框架，以实现分布式网络操作。有限反馈RIS选择策略获得的停电概率和平均率也针对路径模型得出。数值结果表明，提出的RIS选择策略获得了显着的性能增长。
The reconfigurable intelligent surface (RIS) is a promising technology that is anticipated to enable high spectrum and energy efficiencies in future wireless communication networks. This paper investigates optimum location-based RIS selection policies in RIS-aided wireless networks to maximize the end-to-end signal-to-noise ratio for product-scaling and sum-scaling path-loss models where the received power scales with the product and sum of the transmitter-to-RIS and RIS-to-receiver distances, respectively. These scaling laws cover the important cases of end-to-end path-loss models in RIS-aided wireless systems. The random locations of all available RISs are modeled as a Poisson point process. To quantify the network performance, the outage probabilities and average rates attained by the proposed RIS selection policies are evaluated by deriving the distance distribution of the chosen RIS node as per the selection policies for both product-scaling and sum-scaling path-loss models. We also propose a limited-feedback RIS selection framework to achieve distributed network operation. The outage probabilities and average rates obtained by the limited-feedback RIS selection policies are derived for both path-loss models as well. The numerical results show notable performance gains obtained by the proposed RIS selection policies.
