Dynamic User Scheduling with User Satisfaction Rate in Cell-Free Massive MIMO

Abstract

For cell-free multiple-input multiple-output (MIMO) system, this paper derived the mathematical formula for the optimization problem considering system throughput and user satisfaction rate (USR) in this architecture, and proposed an USR based dynamic user scheduling algorithm considering the transmission reliability of paired users. This method can dynamically control the number and list of multiplex users on different subband resources in the same system according to the requirements of user service transmission reliability after pairing, and maximize the system throughput on the premise of meeting the user transmission requirements. We simulate and verify this algorithm under the centralized processing cell-free system architecture. At the same time, a user scheduling and pairing transmission scheme based on partial signaling feedback on cell-free scenario is further proposed, and the effectiveness of this scheme is verified by simulation.