Browse > Article

Reduced RBF Centers Based Multiuser Detection in DS-CDMA System  

Lee, Jung-Sik (School of Electronics & Information Eng., Kunsan National University)
Hwang, Jae-Jeong (School of Electronics & Information Eng., Kunsan National University)
Park, Chi-Yeon (Dept. of Computer Science & Eng., Kwandong University)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.31, no.11C, 2006 , pp. 1085-1091 More about this Journal
Abstract
The major goal of this paper is to develop a practically implemental radial basis function (RBF) neural network based multi-user detector (MUD) for direct sequence (DS)-CDMA system. This work is expected to provide an efficient solution for RBF based MUD by quickly setting up the proper number of RBF centers and their locations required in training. The basic idea in this research is to estimate all the possible RBF centers by using supervised ${\kappa-means$ clustering technique, and select the only centers which locate near seemingly decision boundary between centers, and reduce further by grouping the some of centers adjacent each other. Therefore, it reduces the computational burden for finding the proper number of RBF centers and their locations in the existing RBF based MUD, and ultimately, make its implementation practical.
Keywords
Multiuser; Detector; DS-CDMA; RBF; Neural Network;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Miller, S. L., 'An Adaptive Direct-Sequence Code-Division Multiple-Access Receiver for Multiuser Interference Rejection, 'IEEE Transactions on Communications, Vol. 43, pp.1746-1755, 1995   DOI   ScienceOn
2 Poor, H.V., Verdu, S., 'Probability of Errors in MMSE Multiuser Detection,' IEEE Transactions on Information Theory, Vol. 43, pp. 858-871, 1997   DOI   ScienceOn
3 Matyjas, J.D., Psaromiligkos, LN., Batalama, S.N., Medley, M.J., 'Fast Converging Minimum Probability of Error Neural Network Receivers for DS-CDMA Communications,' IEEE Transactions on Neural Networks, Vol. 15, pp. 445-454, 2004   DOI   ScienceOn
4 Lee, J., Beach, C.D., Tepedelenlioglu, N., 'Channel Equalization using Radial Basis Function Network,' IEEE International Conference on Neural Networks, Vol. 4, pp. 1924-1928, 1996
5 Madhow, U., Honig, M. L., 'MMSE Interference Suppression for Direct Sequence Spread Spectrum CDMA,' IEEE Transactions on Communications, Vol. 42., pp. 3178-3188, 1994   DOI   ScienceOn
6 Lee, J., Beach, C.D., Tepedelenlioglu, N., 'Channel Equalization using Radial Basis Function Network,' IEEE International Conference on Acoustics, Speech, Signal Processing, Vol. 3, pp. 1719-1722, 1996
7 Cruickshank, D.G.M., 'Radial Basis Function Receivers for DS-CDMA,' IEE Electronic Letters, Vol. 32, pp. 188-190, 1996   DOI   ScienceOn
8 Chen, S., Mulgrew, B., Grant, P.M., 'A Clustering Technique for Digital Communication Channel Equalization using Radial Basis Function Networks,' IEEE Transactions on Neural Networks, Vol. 4, pp. 570-579, 1993   DOI   ScienceOn
9 Aazhang, B., Paris, B.P., Orsak, G.C., 'Neural Networks for Multiuser Detection in Code-Division Multiple-Access Channels,' IEEE Transactions on Communications, Vol. 40, pp. 1212-1222, 1992   DOI   ScienceOn
10 Miyajima, T., Hasegawa, T., Haneishi, M., 'On the Multiuser Detection using a Neural Network in Code-Division Multiple-Access Communications,' IEICE Transactions on Communications, Vol. E76-B, pp. 7-11, 1993
11 Powell, M.J.D., 'Radial Basis Functions for Multivariable Interpolation: a Review,' Algorithm for Approximation, pp. 143-167, 1987
12 Chen, S., Samingan, A.K., Hanzo, L., 'Support Vector Machine Multiuser Receiver for DS-CDMA Signals in Multipath Channels,' IEEE Transactions on Neural Networks, Vol. 12, pp. 604-610, 2001   DOI   ScienceOn
13 Mitra, D., Poor, H.V., 'Neural Network Techniques for Adaptive Multiuser Demodulation,' IEEE Journal on Selected Areas in Communications, Vol. 12, pp. 1460-1470, 1994   DOI   ScienceOn
14 Gibson, G.J., Siu, S., Cowan, C.F.N., 'Application of Multilayer Perceptrons as Adaptive Channel Equalizers,' IEEE International Conference on Acoustics, Speech, Signal Processing, pp. 1183-1186, 1989
15 Lee, J., Beach, C.D., Tepedelenlioglu, N., 'A Practical Radial Basis Function Equalizer,' IEEE Transactions on Neural Networks, Vol. 10, pp. 450-455, 1999   DOI   ScienceOn
16 Chen, S., Samingan, A.K., Hanzo, L., 'Adaptive Near Minimum Error Rate Training for Neural Networks with Application to Multiuser Detection in CDMA Communication Systems,' Signal Processing , Vol. 85, pp. 1435-144, 2005   DOI   ScienceOn