Joint Active and Passive Beamforming for Intelligent Reflecting Surface Aided Multiuser MIMO Communications

25 Jan 2021  ·  Xingyu Zhao, Tian Lin, Yu Zhu ·

This letter investigates the joint active and passive beamforming optimization for intelligent reflecting surface (IRS) aided multiuser multiple-input multiple-output systems with the objective of maximizing the weighted sum-rate. We show that this problem can be solved via a matrix weighted mean square error minimization equivalence. In particular, for the optimization of the passive IRS beamforming, we first propose an iterative algorithm with excellent performance based on the manifold optimization. By using the matrix fractional programming technique to obtain a more tractable object function, we then propose a low complexity algorithm based on the majorization-minimization method. Numerical results verify the convergence of our proposed algorithms and the significant performance improvement over the communication scenario without IRS assistance.

PDF Abstract
No code implementations yet. Submit your code now

Categories


Information Theory Information Theory

Datasets


  Add Datasets introduced or used in this paper