论文标题
在多IRS辅助MMWave通信中主动和被动横梁的联合优化
Joint Optimization of Active and Passive Beamforming in Multi-IRS Aided mmWave Communications
论文作者
论文摘要
智能反射表面（IRS）被认为是减轻阻塞效应并增强毫米波（MMWave）通信的覆盖率的有前途的技术。为了探索IRS对MMWave通信性能的影响，我们通过共同优化主动和被动的光束形成和IRS集合以寻求帮助，研究了多IRS辅助MMWave通信网络，并提出了总和最大化问题。优化问题由于缺乏目标函数的凸性和IRS选择变量的二进制性质而难以理解。为了解决复杂的非凸问题，提出了一种交替的迭代方法。特别是，通过枚举来求解利用分数编程方法优化主动和被动边界的优化和IRS选择的优化。仿真结果证明了我们提出的方法的性能增长。
Intelligent reflecting surface (IRS) has been considered as a promising technology to alleviate the blockage effect and enhance coverage in millimeter wave (mmWave) communication. To explore the impact of IRS on the performance of mmWave communication, we investigate a multi-IRS assisted mmWave communication network and formulate a sum rate maximization problem by jointly optimizing the active and passive beamforming and the set of IRSs for assistance. The optimization problem is intractable due to the lack of convexity of the objective function and the binary nature of the IRS selection variables. To tackle the complex non-convex problem, an alternating iterative approach is proposed. In particular, utilizing the fractional programming method to optimize the active and passive beamforming and the optimization of IRS selection is solved by enumerating. Simulation results demonstrate the performance gain of our proposed approach.
