论文标题
可重新配置的智能表面辅助设备到设备通信
Reconfigurable Intelligent Surface Assisted Device-to-Device Communications
论文作者
论文摘要
随着5G,6G及以后的演变,设备对设备(D2D)通信已开发为一种能量和光谱效率的解决方案。在蜂窝网络中,D2D链接需要与蜂窝链路共享相同的光谱资源。可重新配置的智能表面(RIS)可以重新配置元素的相移并创建有利的光束转向,从而可以减轻由D2D链接引起的加重干扰。在本文中,我们研究了RIS辅助的单细胞上行链路通信网络方案,其中细胞链路和多个D2D链接利用直接传播并反映单跳传播。通过共同优化所有链接的传输功能和所有元素的离散相移来提出最大化总系统速率的问题。配制的问题是NP混合整数非凸线非线性问题。为了获得实用的解决方案,我们利用交替的最大化,并将问题分解为两个子问题。对于功率分配,问题是凹功能(DC)问题的差异,该问题通过梯度下降方法解决。对于相移,利用具有较低复杂性的本地搜索算法。仿真结果表明,部署RI和优化相位移位对减轻D2D网络干扰具有显着影响。
With the evolution of the 5G, 6G and beyond, device-to-device (D2D) communication has been developed as an energy-, and spectrum-efficient solution. In cellular network, D2D links need to share the same spectrum resources with the cellular link. A reconfigurable intelligent surface (RIS) can reconfigure the phase shifts of elements and create favorable beam steering, which can mitigate aggravated interference caused by D2D links. In this paper, we study a RIS-assisted single cell uplink communication network scenario, where the cellular link and multiple D2D links utilize direct propagation and reflecting one-hop propagation. The problem of maximizing the total system rate is formulated by jointly optimizing transmission powers of all links and discrete phase shifts of all elements. The formulated problem is an NP-hard mixed integer non-convex non-linear problem. To obtain practical solutions, we capitalize on alternating maximization and the problem is decomposed into two sub-problems. For the power allocation, the problem is a difference of concave functions (DC) problem, which is solved with the gradient descent method. For the phase shift, a local search algorithm with lower complexity is utilized. Simulation results show that deploying RIS and optimizing the phase shifts have a significant effect on mitigating D2D network interference.