Intelligent Reflecting Surface-Aided Joint Processing Coordinated Multipoint Transmission

This article investigates intelligent reflecting surface (IRS)-aided multicell wireless networks, where an IRS is deployed to assist the joint processing coordinated multipoint (JP-CoMP) transmission from multiple base stations (BSs) cell-edge users. By taking into account fairness among users, we aim at maximizing minimum achievable rate of users by jointly optimizing transmit beamforming BSs and phase shifts IRS. As a compromise approach, transform non-convex max-min problem equivalent form based on mean-square error method, which facilities design efficient suboptimal iterative algorithm. In addition, investigate two scenarios, namely single-user system multiuser system. For former scenario, optimal obtained dual subgradient while shift matrix optimized Majorization-Minimization method. latter are second-order cone programming semidefinite relaxation techniques, respectively. Numerical results demonstrate significant performance improvement achieved deploying Furthermore, proposed JP-CoMP significantly outperforms conventional scheduling/coordinated (CS/CB-CoMP) in terms rate.