Fading Channel Prediction Based on Combination of Complex-Valued Neural Networks and Chirp Z-Transform

被引:84
作者
Ding, Tianben [1 ]
Hirose, Akira [1 ]
机构
[1] Univ Tokyo, Dept Elect Engn & Informat Syst, Tokyo 1138656, Japan
关键词
Channel prediction; chirp z-transform (CZT); complex-valued neural networks (CVNNs); fading; frequency domain; high-capacity spatial-domain multiple access (HC-SDMA);
D O I
10.1109/TNNLS.2014.2306420
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Channel prediction is an important process for channel compensation in a fading environment. If a future channel characteristic is predicted, adaptive techniques, such as pre-equalization and transmission power control, are applicable before transmission in order to avoid degradation of communications quality. Previously, we proposed channel prediction methods employing the chirp z-transform (CZT) with a linear extrapolation as well as a Lagrange extrapolation of frequency-domain parameters. This paper presents a highly accurate method for predicting time-varying channels by combining a multilayer complex-valued neural network (CVNN) with the CZT. We demonstrate that the channel prediction accuracy of the proposed CVNN-based prediction is better than those of the conventional prediction methods in a series of simulations and experiments.
引用
收藏
页码:1686 / 1695
页数:10
相关论文
共 25 条
[1]  
Andersen J. B., 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324), P151, DOI 10.1109/VETECF.1999.797078
[2]  
[Anonymous], 2005, 07000042005 ANSI ATI
[3]   Vector channel modeling and prediction for the improvement of downlink received power [J].
Arrendondo, A ;
Dandekar, KR ;
Xu, GH .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2002, 50 (07) :1121-1129
[4]   COMPLEX-VALUED RADIAL BASIS FUNCTION NETWORK .2. APPLICATION TO DIGITAL-COMMUNICATIONS CHANNEL EQUALIZATION [J].
CHEN, S ;
MCLAUGHLIN, S ;
MULGREW, B .
SIGNAL PROCESSING, 1994, 36 (02) :175-188
[5]  
Chen S.L., 1994, Flora of China, P1
[6]   Fading channel prediction for mobile radio adaptive transmission systems [J].
Duel-Hallen, Alexandra .
PROCEEDINGS OF THE IEEE, 2007, 95 (12) :2299-2313
[7]  
Eyceoz T., 1997, The Thirty-First Asilomar Conference on Signals, Systems and Computers, V1, P167
[8]   Deterministic Channel Modeling and Long Range Prediction of Fast Fading Mobile Radio Channels [J].
Eyceoz, Tugay ;
Duel-Hallen, Alexandra ;
Hallen, Hans .
IEEE COMMUNICATIONS LETTERS, 1998, 2 (09) :254-256
[9]   APPLICATIONS OF COMPLEX-VALUED NEURAL NETWORKS TO COHERENT OPTICAL COMPUTING USING PHASE-SENSITIVE DETECTION SCHEME [J].
HIROSE, A .
INFORMATION SCIENCES-APPLICATIONS, 1994, 2 (02) :103-117
[10]  
Hirose A, 2012, STUD COMPUT INTELL, V400, P1, DOI 10.1007/978-3-64227632-3