Bidirectional position attention lightweight network for massive MIMO CSI feedback

doi:10.19682/j.cnki.1005-8885.2024.0018

中国邮电高校学报(英文) ›› 2024, Vol. 31 ›› Issue (5): 1-11.doi: 10.19682/j.cnki.1005-8885.2024.0018

• Wireless • 下一篇

Bidirectional position attention lightweight network for massive MIMO CSI feedback

李军¹,王昱凯¹,张志晨¹,何波²,郑文静¹,林霏¹

1. 齐鲁工业大学（山东省科学院）
2. 山东大学信息学院

收稿日期:2023-04-29 修回日期:2024-01-07 出版日期:2024-10-31 发布日期:2024-10-31
通讯作者: 李军 E-mail:rogerjunli@sdu.edu.cn
基金资助:
国家自然科学基金;省自然科学基金

Bidirectional position attention lightweight network for massive MIMO CSI feedback

Received:2023-04-29 Revised:2024-01-07 Online:2024-10-31 Published:2024-10-31
Contact: LI Jun E-mail:rogerjunli@sdu.edu.cn

摘要/Abstract

摘要：

In frequency division duplex ( FDD) massive multiple-input multiple-output ( MIMO) systems, a bidirectional positional attention network ( BPANet) was proposed to address the high computational complexity and low accuracy of existing deep learning-based channel state information ( CSI) feedback methods. Specifically, a bidirectional position attention module ( BPAM) was designed in the BPANet to improve the network performance. The BPAM captures the distribution characteristics of the CSI matrix by integrating channel and spatial dimension information, thereby enhancing the feature representation of the CSI matrix. Furthermore, channel attention is decomposed into two one-dimensional (1D) feature encoding processes effectively reducing computational costs. Simulation results demonstrate that, compared with the existing representative method complex input lightweight neural network ( CLNet), BPANet reduces computational complexity by an average of 19. 4% and improves accuracy by an average of 7. 1% . Additionally, it performs better in terms of running time delay and cosine similarity.

关键词:

massive multiple-input multiple-output ( MIMO), channel state information ( CSI) feedback, deep learning, lightweight neural network, bidirectional position attention module ( BPAM)

Abstract:

Key words: massive multiple-input multiple-output ( MIMO), channel state information ( CSI) feedback, deep learning, lightweight neural network, bidirectional position attention module ( BPAM)

中图分类号:

TN393

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Bidirectional position attention lightweight network for massive MIMO CSI feedback

Bidirectional position attention lightweight network for massive MIMO CSI feedback

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