UE Set Selection for RR Scheduling in Distributed Antenna Transmission with Reinforcement Learning

In this paper, user set selection in the allocation sequences of round-robin (RR) scheduling for distributed antenna transmission with block diagonalization (BD) pre-coding is proposed. prior research, initial phase equipment RR has been investigated. The performance proposed inferior to that proportional fair (PF) under severe intra-cell interference. multi-input multi-output technology BD applied. Furthermore, (UE) sets are eliminated reinforcement learning. After modification a sequence, no estimated throughput calculation UE required. Numerical results obtained through computer simulation show maximum selection, one criteria outperforms weighted PF restricted realm terms computational complexity, fairness, and throughput.