长沙理工大学电气与信息工程学院;
在频分双工(Frequency Division Duplex, FDD)模式的大规模多输入多输出(Multiple Input Multiple Output, MIMO)系统中，针对资源有限的用户设备(User Equipment, UE)向基站(Base Station, BS)反馈信道状态信息(Channel State Information, CSI)反馈开销太大、反馈精度不足以及网络计算复杂度高的问题，提出一种基于深度可分离卷积和多尺度特征提取的轻量化CSI反馈方案。采用轻量的深度可分离卷积处理CSI,以降低压缩信息的损失，通过多尺度特征提取和残差学习进行恢复重建CSI。仿真结果表明，所提方案相对其他轻量化网络表现出较好的反馈精度。
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基本信息:
DOI：
中图分类号:TN929.5
引用信息:
[1]刘受清,朱正发,申滔.基于多尺度特征提取的轻量化大规模MIMO系统CSI反馈[J].无线电工程,2025,55(01):175-183.
基金信息:
湖南省教育厅一般项目(19C0037); 长沙理工大学科研创新项目(CLSJCX23067)~~