Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Multiuser Detection
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Blind channel estimation for CDMA systems: an induced cyclostationarity approach
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
Wireless Communication Systems: Advanced Techniques for Signal Reception
Wireless Communication Systems: Advanced Techniques for Signal Reception
Channel estimation for the uplink of a DS-CDMA system
IEEE Transactions on Wireless Communications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Hopfield neural network based task mapping method
Computer Communications
Quality of service for multimedia CDMA
IEEE Communications Magazine
Beyond 3G: vision, requirements, and enabling technologies
IEEE Communications Magazine
Perspectives for present and future CDMA-based communications systems
IEEE Communications Magazine
Hopfield neural network implementation of the optimal CDMA multiuser detector
IEEE Transactions on Neural Networks
Neural techniques for combinatorial optimization with applications
IEEE Transactions on Neural Networks
Blind information-theoretic multiuser detection algorithms for DS-CDMA and WCDMA downlink systems
IEEE Transactions on Neural Networks
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In this paper, we consider the receiver design problem for the uplink multiuser code division multiple access (CDMA) communication system based on the neural network technique. The uplink multiuser CDMA communication system model is described in the form of space---time domain through antenna array and multipath fading expression. Novel suitable neural network technique is proposed as an effective signal processing method for the receiver of such an uplink multiuser CDMA system. By the appropriate choice of the channel state information for the neural network parameters, the neural network can collectively resolve the effects of both the inter-symbol interference due to the multipath fading channel and the multiple access interference in the receiver of the uplink multiuser CDMA communication system. The dynamics of the proposed neural network receiver for the uplink multiuser CDMA communication system is also studied.