Deep Autoencoder Based CSI Feedback With Feedback Errors and Feedback Delay in FDD Massive MIMO Systems

被引：62

作者：

Jang, Youngrok ^{[1
]}

Kong, Gyuyeol ^{[1
]}

Jung, Minchae ^{[1
]}

Choi, Sooyong ^{[1
]}

Kim, Il-Min ^{[2
]}

机构：

[1] Yonsei Univ, Sch Elect & Elect Engn, Seoul 03722, South Korea

[2] Queens Univ, Dept Elect & Comp Engn, Kingston, ON K7L 3N6, Canada

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2019年 / 8卷 / 03期

基金：

新加坡国家研究基金会; 加拿大自然科学与工程研究理事会;

关键词：

Autoencoder; CSI feedback; FDD massive MIMO; feedback delay; feedback errors; CAPACITY; CHANNELS;

D O I：

10.1109/LWC.2019.2895039

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, we study the channel state information (CSI) feedback based on the deep autoencoder (AE) considering the feedback errors and feedback delay in the frequency division duplex massive multiple-input multiple-output system. We construct the deep AE by modeling the CSI feedback process, which involves feedback transmission errors and delays. The deep AE is trained by setting the delayed version of the downlink channel as the desired output. The proposed scheme reduces the impact of the feedback errors and feedback delay. Simulation results demonstrate that the proposed scheme achieves better performance than other comparable schemes.

引用

页码：833 / 836

页数：4

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