Interference Attraction Beam Allocation for Multi-user Massive MIMO System

Beam allocation in the multi-user multiple-input multiple-output (MU-MIMO) system is investigated in this paper. The problem is modeled as a multi-objective nonlinear integer problem of maximizing the average throughput on both user equipment (UE) side and base station (BS) side. The two objectives measure the quality of service (QoS) of individual user and the overall system capacity, respectively. Taking both efficiency and the effect of inter-beam interference into consideration, an interference attraction beam allocation (IABA) algorithm is proposed with an attraction principle to make a trade-off between the system capacity and user QoS. The results show that compared with other algorithms, BS throughput in IABA is similar, while IABA has better performance in terms of average UE throughput and a low complexity.