Antenna Selection for IRS-Aided MU-MIMO

Antenna selection (AS) and intelligent reflecting surface (IRS) are two promising technologies to reduce the hardware cost of multi-antenna systems. This letter intends to jointly design the users’ active transmit beamformers, the IRS’s passive beamformer, and the base station’s receive AS network in order to maximize the uplink sum rate of an IRS-aided multiuser multiple-input multiple-output (MU-MIMO) system. An efficient algorithm is proposed to solve the resultant non-convex problem via capitalizing on the block coordinate descent and fractional programming techniques. Numerical results show that compared with other baseline methods, the proposed algorithm can significantly improve the uplink sum rate.