Group Selection Beamforming for RIS-Aided V2X Communication Systems

Reconfigurable intelligent surface is a promising technology for enhancing wireless communication in various scenarios. Despite its promise, utilizing reconfigurable intelligent surface for communication services poses non-convex optimization challenges. In this paper, we propose a hybrid beamforming algorithm for reconfigurable intelligent surface aided mmWave vehicle-to-everything communication systems to maximize the system’s sum rate. The proposed algorithm is an iterative process developed jointly using coati optimization algorithm, group selection and codebook compression for reconfigurable intelligent surface aided beamforming. The algorithm first selects the reconfigurable intelligent surface phase shift matrix, then groups the vehicular user equipments and utilizes codebook compression algorithm to compute the beamforming matrix. The algorithm runs until it finds the maximum sum rate. Simulation results have verified the effectiveness of the proposed algorithm as compared to different benchmark schemes.