基于协作关系的智能反射面通信增强模型

Communication Enhancement Model of Intelligent Reflecting Surface Based on Cooperative Relationship

智能反射面(IRS)是一种集成大量低成本、低损耗、可重构无源反射元件的平面,可以智能地配置信号传播,提高无线网络的频谱效率和能量效率。即在获知用户位置后,利用优化算法计算信号的反射相位,提高用户接收到的功率。提出了一种在室内小范围环境下具有协作关系的双IRS模型,利用两个具有协作关系的IRS增强基站与用户间直连链路不可用时用户接收到的信号功率。用两个IRS的移相矩阵作为优化变量,最大化用户接收到的信号功率。该问题的建模为非凸网络优化问题,采用基于内点优化的求解器进行仿真,同时与无协作关系模型的性能进行了对比。对比结果表明,在室内小范围环境下,具有协作关系的模型比无协作关系模型的增强效果更好。

Intelligent reflecting surface(IRS) is a plane that integrates a large number of low-cost,low loss,reconfigurable passive reflectors.It could intelligently configure signal propagation and improve the spectrum efficiency and energy efficiency of wireless network.Specifically,after the position of the user is known,the reflected phase of the signal is calculated by using the optimization algorithm to enhance the power received by the user.This paper proposes a dual IRS model with cooperative relationship in indoor small-scale environment,which uses two IRSs with cooperative relationship to enhance the signal power received by the user when the direct link between the base station and the user is unavailable.The phase shift matrixes of the two IRS are used as the optimization variables to maximize the signal power received by the user.The problem is a nonconvex network optimization problem,which is solved by solver based on interior point optimization,and compared with the model without cooperation at the same time.The comparison results show that the model with cooperation relationship has a better enhancement effect than the model without cooperation relationship in small-scale environment.