论文标题
联合被动式波束形成和用户协会优化IRS辅助MMWave系统
Joint Passive Beamforming and User Association Optimization for IRS-assisted mmWave Systems
论文作者
论文摘要
在本文中，我们研究了智能反射表面（IRS）辅助多用户毫米波（MMWave）下行链路通信系统，利用IRS来减轻阻塞效应并增强MMWave系统的性能。考虑到IRS对用户关联的影响，我们通过共同优化IRS和用户关联的被动式面积提出的总和速率最大化问题，这是一个棘手的非凸面问题。然后提出了交替的优化算法来有效地解决问题。在拟议的算法中，通过利用分数编程方法和用户关联来通过基于网络优化的拍卖算法来求解IRS的无源光束。我们提供了所提出的算法和不同参考算法之间的数值比较。仿真结果表明，所提出的算法可以在所有用户的总和率上取得显着提高。
In this paper, we investigate an intelligent reflect surface (IRS) assisted multi-user millimeter wave (mmWave) downlink communication system, exploiting IRS to alleviate the blockage effect and enhance the performance of the mmWave system. Considering the impact of IRS on user association, we formulate a sum rate maximization problem by jointly optimizing the passive beamforming at IRS and user association, which is an intractable non-convex problem. Then an alternating optimization algorithm is proposed to solve the problem efficiently. In the proposed algorithm, passive beamforming at IRS is optimized by utilizing the fractional programming method and user association is solved through the network optimization based auction algorithm. We provide numerical comparisons between the proposed algorithm and different reference algorithms. Simulation results demonstrate that the proposed algorithm can achieve significant gains in the sum rate of all users.
