论文标题
多IRS协助合作传输的加权总和最大化
Weighted Sum-Rate Maximization for Multi-IRS Aided Cooperative Transmission
论文作者
论文摘要
本文研究了多个智能反射表面（IRSS）辅助无线网络，在该网络中，IRS被部署以协助多 - 安坦纳基站（BS）和多个单人体细胞边缘用户之间的沟通。我们旨在通过共同优化BS的发射光束形成和IRS的相移来最大化所有细胞边缘用户的加权总和。特别是，通过拉格朗日方法最佳地求解了波束形成，并且基于riemannian歧管偶联物梯度（RMCG）方法获得相移。数值结果表明，在多个IRS的帮助下，重大吞吐量得到了改善。
This paper investigates multiple intelligent reflecting surfaces (IRSs) aided wireless network, where the IRSs are deployed to cooperatively assist communications between a multi-antenna base station (BS) and multiple single-antenna cell-edge users. We aim at maximizing the weighted sum rate of all the cell-edge users by jointly optimizing the BS's transmit beamforming and IRS's phase shifts. Especially, the beamforming is optimally solved by the Lagrangian method, and the phase shifts are obtained based on the Riemannian manifold conjugate gradient (RMCG) method. Numerical results show that a significant throughput is improved with aid of multiple IRSs.
