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arXiv 2001.03344eess.SPcs.ITmath.IT

可重构智能表面辅助的设备到设备通信的和速率最大化

Sum Rate Maximization for Reconfigurable Intelligent Surface Assisted Device-to-Device Communications

Yashuai Cao, Tiejun Lv

AI总结:

本文针对RIS辅助的D2D底层蜂窝通信系统,提出块坐标下降与基于二次变换的半定松弛算法联合优化功率控制、接收波束成形和RIS相移,以最大化和速率并显著提升系统性能。

摘要:

在本文中,我们提出采用可重构智能表面(RIS)来增强D2D底层系统性能。我们研究了RIS辅助的D2D底层蜂窝通信系统中的联合功率控制、接收波束成形和无源波束成形问题,并将其建模为一个和速率最大化问题。为解决该问题,我们开发了一种块坐标下降方法,其中上行功率、接收波束成形器和反射相移被交替优化。随后,我们给出了上行功率和接收波束成形器的闭式解。我们进一步提出一种基于二次变换的半定松弛算法来优化RIS相移,其中原始的无源波束成形问题被转化为一个可分离的二次约束二次规划问题。数值结果表明,所提出的RIS辅助设计显著提升了和速率性能。

英文摘要:

In this letter, we propose to employ reconfigurable intelligent surfaces (RISs) for enhancing the D2D underlaying system performance. We study the joint power control, receive beamforming, and passive beamforming for RIS assisted D2D underlaying cellular communication systems, which is formulated as a sum rate maximization problem. To address this issue, we develop a block coordinate descent method where uplink power, receive beamformer and refection phase shifts are alternatively optimized. Then, we provide the closed-form solutions for both uplink power and receive beamformer. We further propose a quadratic transform based semi-definite relaxation algorithm to optimize the RIS phase shifts, where the original passive beamforming problem is translated into a separable quadratically constrained quadratic problem. Numerical results demonstrate that the proposed RIS assisted design significantly improves the sum-rate performance.

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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