题目/Title：A Simplified Digital Predistortion Model for Fully-Connected Hybrid Beamforming Massive MIMO Transmitters Using Discrete Particle Swarm Optimization Technique
作者/Author：
Kun Gao, Xin Liu, Yufeng Zhang, Long Chen, Wenhua Chen, Haigang Feng, Zhenghe Feng
会议/Conference：IWS 2023
地点/Location：Qingdao, China
年份/Issue Date：2023.14-17 May
页码/pages：pp.1-4
摘要/Abstract：
In this paper, a pruning method using discrete particle swarm optimization (DPSO) is proposed to reduce the complexity of digital predistortion (DPD) for fully-connected (FC) hybrid beamforming (HBF) transmitters. In the DPSO algorithm, the position of each particle corresponds to a subset of model terms, and the subset that maximizes the model accuracy will be found through the cooperation between different particles. A simulation on a 4-stream 64-element FC HBF array is carried out, where the coefficients in each DPD model are reduced by approximately 50% while adjacent channel power ratio (ACPR) and normalized mean square error (NMSE) remain almost unchanged.