论文标题
具有过时的渠道状态信息的可重新配置智能表面:集中式和分布式部署
Reconfigurable Intelligent Surfaces with Outdated Channel State Information: Centralized vs. Distributed Deployments
论文作者
论文摘要
在本文中,我们调查了RIS辅助无线通信系统的性能,但可能会在近场和远场区域内运行过时的渠道状态信息。特别是,我们考虑了两种RIS部署策略:(i)集中部署,其中所有反射元素都安装在单个RIS上,以及(ii)分布式部署,其中相同数量的反射元素在多个RISS上放置。对于两种部署策略,我们都为千古能力得出了准确的闭合形式近似值,并为获得有用的设计洞察力的厄尔贡能力引入了紧密的上和下限。通过此分析,我们揭示了发射功率的增加,RICIAN-K因子,通道状态信息的准确性以及反射元素的数量有助于改善系统性能。此外,我们证明,与分布式的RIS辅助部署相比,当RIS位于基站附近或用户附近时,与分布式的RIS部署相比,集中的RIS部署可能会实现更高的恒星能力。另一方面,在不同的设置中,我们证明分布式部署的表现优于集中部署。最后,通过使用蒙特卡洛模拟来验证分析结果。
In this paper, we investigate the performance of an RIS-aided wireless communication system subject to outdated channel state information that may operate in both the near- and far-field regions. In particular, we take two RIS deployment strategies into consideration: (i) the centralized deployment, where all the reflecting elements are installed on a single RIS and (ii) the distributed deployment, where the same number of reflecting elements are placed on multiple RISs. For both deployment strategies, we derive accurate closed-form approximations for the ergodic capacity, and we introduce tight upper and lower bounds for the ergodic capacity to obtain useful design insights. From this analysis, we unveil that an increase of the transmit power, the Rician-K factor, the accuracy of the channel state information and the number of reflecting elements help improve the system performance. Moreover, we prove that the centralized RIS-aided deployment may achieve a higher ergodic capacity as compared with the distributed RIS-aided deployment when the RIS is located near the base station or near the user. In different setups, on the other hand, we prove that the distributed deployment outperforms the centralized deployment. Finally, the analytical results are verified by using Monte Carlo simulations.