Abstract
In this paper, the joint design of the beamforming scheme in intelligent reflecting surface (IRS) assisted multiuser (MU) multiple-input multiple-output (MIMO) downlink transmissions is investigated. It is assumed that the channel state information (CSI) of each link is imperfect and the weighted sum rate (WSR) is adopted as the performance metric. An optimization problem to maximize the WSR is formulated. To obtain the optimal beamforming matrices at the base station (BS) and IRS, an algorithm based on the recursive successive convex approximation (SCA) technique is proposed. Due to the limitations of hardware and cost, low-resolution phase shifters (PSs) are taken into account as well. Simulation results demonstrate the effectiveness and superiority of the proposed scheme. Overall, a viable solution to the joint design of the beamforming in IRS-aided MU-MIMO downlink communication systems is provided.
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