Traffic-pairing scheme based on particle swarm optimization in downlink CoMP-MU-MIMO system

Orthogonal frequency division multiplexing (OFDM) brings severe co-channel interference for cell-edge users (CEUs). To deal with this problem, traffic-pairing scheme based on particle swarm optimization (TP-PSO) is proposed as an efficient scheme in downlink Coordinated Multi-Point multi-user multi-input multi-output (CoMP-MU-MIMO) transmission/reception. This paper jointly considers CEUs´ signal to interference plus noise ratio (SINR) and exponential/proportional fairness (EXP/PF) to maximize the total channel capacity in traffic-pairing process by formulating a penalty function. To simplify the penalty function´s computation, particle swarm optimization (PSO) algorithm is introduced. Simulation results demonstrate that the TP-PSO scheme can not only obtain the optimal total channel capacity while guarantee each user´s SINR and traffics QoS, but also largely reduce computational complexity. As a result, the poor communication quality of CEUs can be enhanced.