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

被引：1
|
作者：
Lu, Kun [1 ]
Wu, Sheng [1 ]
Yang, Hongwen [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
来源：
PROCEEDINGS OF 2020 IEEE 19TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI*CC 2020) | 2020年
关键词：
PDMA; 5G; AMI; BPSO;
D O I：
10.1109/ICCICC50026.2020.9450225
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：220 / 224
页数：5
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