arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2001.07907eess.SPcs.ITmath.IT
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可重构智能表面辅助双向式的通信:性能分析与优化

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

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

摘要:

在本文中,我们研究了两个用户之间的双向式的【形】通信辅助的可重新配置的智能表面(RIS)。研究了瑞利衰落信道下两个用户同时通信的方案。两个用户和RIS之间的信道可以是互惠的或非互惠的。对于互易信道,我们确定在RIS的最佳相位,以最大限度地提高信号与干扰加噪声比(SINR)。然后,我们推导出精确的封闭式表达式的中断概率和频谱效率为单元素RIS。通过利用从单元素分析中获得的见解,我们引入了一个伽马近似模型的瑞利随机变量的产品,这是有用的多元素RIS的性能指标的评估。渐近分析表明,中断减少$\left(\log(ρ)/ρ\right)^L$率,其中$L$是元素的数量,而频谱效率增加$\log(ρ)$率在大的平均SINR $ρ$。对于非互易信道,目标是最大化最小用户SINR。对于单元素RIS,封闭形式的解决方案,而推导出多元素RIS的问题原来是非凸的。后者通过半定规划松弛和提出的贪婪迭代方法求解,分别可以获得更高的性能和更低的计算复杂度。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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