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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.
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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:
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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