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author:

Zhao, Yisheng (Zhao, Yisheng.) [1] (Scholars:赵宜升) | Gao, Hui (Gao, Hui.) [2] | Beaulieu, Norman C. (Beaulieu, Norman C..) [3] | Chen, Zhonghui (Chen, Zhonghui.) [4] (Scholars:陈忠辉) | Ji, Hong (Ji, Hong.) [5]

Indexed by:

EI Scopus SCIE

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.

Keyword:

Channel prediction echo state network Ricean fading

Community:

  • [ 1 ] [Zhao, Yisheng]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China
  • [ 2 ] [Chen, Zhonghui]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China
  • [ 3 ] [Gao, Hui]Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
  • [ 4 ] [Beaulieu, Norman C.]Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
  • [ 5 ] [Ji, Hong]Beijing Univ Posts & Telecommun, Key Lab Univ Wireless Commun, Minist Educ, Beijing 100876, Peoples R China

Reprint 's Address:

  • 赵宜升

    [Zhao, Yisheng]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China

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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 Discipline: COMPUTER SCIENCE;

ESI HC Threshold:187

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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