A Unified Deep Learning Method for CSI Feedback in Massive MIMO Systems

被引：0

作者：

GAO Zhengguang ^{[1
]}

LI Lun ^{[1
]}

WU Hao ^{[1
]}

TU Xuezhen ^{[2
]}

HAN Bingtao ^{[1
]}

机构：

[1] State Key Laboratory of Mobile Network and Mobile Multimedia Technology

[2] The College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics

来源：

ZTE Communications | 2022年 / 20卷 / 04期

关键词：

deep learning; channel state information; element filling strategy;

D O I：

暂无

中图分类号：

TN929.5 [移动通信]; TP18 [人工智能理论];

学科分类号：

080402 ; 080904 ; 0810 ; 081001 ; 081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A unified deep learning(DL) based algorithm is proposed for channel state information(CSI) compression in massive multipleinput multiple-output(MIMO) systems. More importantly, the element filling strategy is investigated to address the problem of model redesign-ing and retraining for different antenna typologies in practical systems. The results show that the proposed DL-based algorithm achieves better performance than the enhanced Type Ⅱ algorithm in Release 16 of 3GPP. The proposed element filling strategy enables one-time training of a unified model to compress and reconstruct different channel state matrices in a practical MIMO system.

引用

页码：110 / 115

页数：6

共 16 条

[1] 6G技术挑战、创新与展望 [J].

方敏 ;

段向阳 ;

胡留军 .

中兴通讯技术, 2020, 26 (03) :61-70

[2]

5G：期待中发展质疑中生长[J]. 王喜瑜.中兴通讯技术. 2020(01)

[3] 关于5G的十点思考 [J].

邬贺铨 .

中兴通讯技术, 2020, 26 (01) :2-4

[4]

ANN-Based Multi-Channel QoT-Prediction Over a 563.4-km Field-Trial Testbed[J] . Zhengguang Gao,Shuangyi Yan,Jiawei Zhang,Marcus Mascarenhas,Reza Nejabati,Yuefeng Ji,Dimitra Simeonidou.Journal of Lightwave Technology . 2020 (9)

[5] CsiNet-Plus Model with Truncation and Noise on CSI Feedback [J].

Liu, Feng ;

He, Xuecheng ;

Li, Conggai ;

Xu, Yanli .

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2020, E103A (01) :376-381

[6] Deep Learning-Based CSI Feedback Approach for Time-Varying Massive MIMO Channels [J].

Wang, Tianqi ;

Wen, Chao-Kai ;

Jin, Shi ;

Li, Geoffrey Ye .

IEEE WIRELESS COMMUNICATIONS LETTERS, 2019, 8 (02) :416-419

[7] Investigation on Reconstruction for Frequency Domain Photoacoustic Imaging via TVAL3 Regularization Algorithm [J].

Kong, Qinglin ;

Gong, Rui ;

Liu, Jietao ;

Shao, Xiaopeng .

IEEE PHOTONICS JOURNAL, 2018, 10 (05)

[8] Deep Learning for Massive MIMO CSI Feedback [J].

Wen, Chao-Kai ;

Shih, Wan-Ting ;

Jin, Shi .

IEEE WIRELESS COMMUNICATIONS LETTERS, 2018, 7 (05) :748-751

[9] ImageNet Classification with Deep Convolutional Neural Networks [J].

Krizhevsky, Alex ;

Sutskever, Ilya ;

Hinton, Geoffrey E. .

COMMUNICATIONS OF THE ACM, 2017, 60 (06) :84-90

[10] From Denoising to Compressed Sensing [J].

Metzler, Christopher A. ;

Maleki, Arian ;

Baraniuk, Richard G. .

IEEE TRANSACTIONS ON INFORMATION THEORY, 2016, 62 (09) :5117-5144

← 1 2 →