Beamforming Design for the Performance Optimization of Intelligent Reflecting Surface Assisted Multicast MIMO Networks

In this paper, the problem of maximizing sum data rates all users in an intelligent reflecting surface (IRS)-assisted millimeter wave multicast multiple-input multiple-output communication system is studied. considered model, one IRS deployed to assist from a multi-antenna base station (BS) that are clustered into several groups. Our goal maximize rate by jointly optimizing transmit beamforming matrices BS, receive users, and phase shifts IRS. To solve non-convex problem, we first use block diagonalization method represent BS Then, substituting expressions original sum-rate maximization can be transformed only needs optimize manifold used. Simulation results show proposed scheme achieve up 28.6% gain terms compared algorithm optimizes hybrid using our randomly determines