Echo State Network for Fast Channel Prediction in Ricean Fading Scenarios - Details

author：

Zhao, Yisheng (Zhao, Yisheng.) ^[1] | Gao, Hui (Gao, Hui.) ^[2] | Beaulieu, Norman C. (Beaulieu, Norman C..) ^[3] | Chen, Zhonghui (Chen, Zhonghui.) ^[4] | Ji, Hong (Ji, Hong.) ^[5]

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Abstract：

A　fast　channel　prediction　scheme　is　proposed　for　Ricean　fading　scenarios.　By　employing　an　echo　state　network　(ESN),　the　scheme　is　able　to　obtain　smaller　prediction　error　than　previous　designs.　Simulation　results　show　that　the　ESN　prediction　method　has　lower　normalized　mean　squared　error　than　the　traditional　autoregressive,　discrete　wavelet　transform,　and　support　vector　machine　prediction　approaches.　The　symbol　error　rate　gap　between　the　perfect　and　predicted　channel　state　information　is　small.　©　2016　IEEE.

Keyword：

Channel state information Discrete wavelet transforms Errors Forecasting Mean square error Support vector machines

Community：

[ 1 ] [Zhao, Yisheng]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
[ 2 ] [Gao, Hui]School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing; 100876, China
[ 3 ] [Beaulieu, Norman C.]School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing; 100876, China
[ 4 ] [Chen, Zhonghui]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
[ 5 ] [Ji, Hong]Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing; 100876, China

Reprint 's Address：

[gao, hui]school of information and communication engineering, beijing university of posts and telecommunications, beijing; 100876, china

Email：

huigao@bupt.edu.cn

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Source ：

IEEE Communications Letters

ISSN： 1089-7798

Year： 2017

Issue： 3

Volume： 21

Page： 672-675

2 . 7 2 3

JCR@2017

3 . 7 0 0

JCR@2023

ESI HC Threshold：187

JCR Journal Grade：2

CAS Journal Grade：3

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WoS CC Cited Count：

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

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Chinese Cited Count：

30 Days PV： 1

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