电讯技术2025，Vol.65Issue(8)：1231-1239,9.DOI:10.20079/j.issn.1001-893x.240419003
大规模MIMO低压缩比条件下的CSI反馈轻量化估计
Lightweight Estimation of Low Compression Ratio CSI Feedback for Massive MIMO Systems
摘要
Abstract
Reducing the channel status information(CSI)feedback overhead of massive multiple-input multiple-output(MIMO)by compressing the CSI transmission codewords can effectively reduce the use of computing resources and the consumption of information transmission time.For the problem of how to use the lightweight model to accurately estimate the CSI feedback under the condition of low compression ratio,the lightweight iterative cross network(ICNet)model is designed,the designed iterative compression module is used to compress the CSI feedback at the user end,and the designed iterative reconstruction module is used to estimate the CSI feedback at the base station,and the CSI feedback is estimated under the low compression ratio condition with high accuracy and low time consumption.The robustness of ICNet under low compression ratio conditions is evaluated under the data samples generated by COST2100 model.Experiments show that when the small compression ratio is 1/64,the normalized mean squared error of ICNet is reduced by 8.48%compared with the suboptimal value,and the number of parameters of ICNet is reduced by about 35%.关键词
大规模MIMO/CSI反馈/交叉卷积/低压缩比/轻量化估计Key words
massive MIMO/CSI feedback/cross convolution/low compression ratio/lightweight estimation分类
信息技术与安全科学引用本文复制引用
薛建彬,高佳敏..大规模MIMO低压缩比条件下的CSI反馈轻量化估计[J].电讯技术,2025,65(8):1231-1239,9.基金项目
甘肃省科技计划(23YFGA0062) （23YFGA0062）
甘肃省创新基金(2022A-215) （2022A-215）
