论文标题

可重新配置的智能表面辅助双向通信:性能分析和优化

Reconfigurable Intelligent Surface assisted Two-Way Communications: Performance Analysis and Optimization

论文作者

Atapattu, Saman, Fan, Rongfei, Dharmawansa, Prathapasinghe, Wang, Gongpu, Evans, Jamie, Tsiftsis, Theodoros A.

论文摘要

在本文中,我们调查了两个用可重新配置的智能表面(RIS)协助的两个用户之间的双向通信。考虑了两个用户通过瑞利褪色渠道同时沟通的计划。两个用户和RI之间的通道可以是倒数或非重新定位。对于相互通道,我们确定在RIS处的最佳相位,以最大化信噪比 - 噪声比率(SINR)。然后,我们得出单元素RI的中断概率和光谱效率的精确闭合表达式。通过利用从单元素分析获得的见解,我们引入了伽马近似,以模拟瑞利随机变量的乘积,这对于评估多元素RIS中的性能指标很有用。渐近分析表明,在$ \ left(\ log(ρ)/ρ\ right)^l $速率下停电减少,其中$ l $是元素的数量,而频谱效率以$ \ log log(ρ)$速率以较大的平均平均sinr $ρ$提高。对于非重新性通道,最小用户SINR的目标是最大化。对于单一元素RI,得出封闭形式的解决方案,而对于多元素的RIS,问题被证明是非凸。后一种通过半决赛编程松弛和提出的贪婪的方法来解决,分别可以实现较高的性能和较低的计算复杂性。

In this paper, we investigate the two-way communication between two users assisted by a re-configurable intelligent surface (RIS). The scheme that two users communicate simultaneously over Rayleigh fading channels is considered. The channels between the two users and RIS can either be reciprocal or non-reciprocal. For reciprocal channels, we determine the optimal phases at the RIS to maximize the signal-to-interference-plus-noise ratio (SINR). We then derive exact closed-form expressions for the outage probability and spectral efficiency for single-element RIS. By capitalizing the insights obtained from the single-element analysis, we introduce a gamma approximation to model the product of Rayleigh random variables which is useful for the evaluation of the performance metrics in multiple-element RIS. Asymptotic analysis shows that the outage decreases at $\left(\log(ρ)/ρ\right)^L$ rate where $L$ is the number of elements, whereas the spectral efficiency increases at $\log(ρ)$ rate at large average SINR $ρ$. For non-reciprocal channels, the minimum user SINR is targeted to be maximized. For single-element RIS, closed-form solution is derived whereas for multiple-element RIS the problem turns out to be non-convex. The latter one is solved through semidefinite programming relaxation and a proposed greedy-iterative method, which can achieve higher performance and lower computational complexity, respectively.

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