Multivariate and Global Particle Swarm Algorithm Optimization in mmWave Massive MIMO for Angle Domain Channel Estimation

被引：0

作者：

Hu, Feng ^{[1
]}

Gao, Jiachuan ^{[1
]}

Chen, Yuzhe ^{[1
]}

Gao, Feng ^{[2
]}

机构：

[1] School of Information and Communication Engineering, Communication University of P.R. China, Beijing,100024, China

[2] Beijing Qianrunhe Technology Co., Ltd, Beijing,100085, China

来源：

EEA - Electrotehnica, Electronica, Automatica | 2022年 / 70卷 / 04期

关键词：

Channel estimation - Codes (symbols) - Feedback control - MIMO systems - Particle swarm optimization (PSO) - Telecommunication repeaters;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Exploitation of massive Multiple-Input Multiple-Output gains for downlink transmission in Millimetre Wave Systems comes at the expense of obtaining accurate channel estimation and computing complexity. Moreover, the fundamental task of massive Multiple-Input Multiple-Output channel estimation is to exploit the characteristics of the channel and sparsity of these multi-antennas systems to simplify complicated spatial structures. We tackle the channel estimation problem in constructing angle domain channel model with multivariate optimization. In the proposed global particle swarm optimization for angle domain aided scheme, the channel estimation design is decoupled into two parts The simulation results are provided to demonstrate the superior performance of the proposed algorithm over the traditional CS-based channel estimation methods. © 2022, Editura ELECTRA. All rights reserved.

引用

页码：79 / 87