Optimized design pattern matrix of PDMA based on binary particle swarm optimization for 5G

The Pattern division multiple access (PDMA) technique is proposed to meet diverse demands for the 5G system. The pattern matrix of PDMA with unequal diversity is designed to reduce error propagation, which relies on the joint design of transmission and receiver. In this paper, it forms a discrete optimization problem based on the characteristics of PDMA. We form the fitness function to maximize the average mutual information (AMI) of the PDMA system, and binary particle swarm optimization (BPSO) algorithm is introduced to design the pattern matrix of the PDMA system. It demonstrated that the optimized PDMA scheme could obtain better coding gain and diversity gain. The numerical results indicate that the optimized PDMA scheme brings about 0.5 dB-1.2 dB performance gains.