Multiuser Detection
A Compact Neural Network Based CDMA Receiver for Multimedia Wireless Communication
ICCD '96 Proceedings of the 1996 International Conference on Computer Design, VLSI in Computers and Processors
Stochastic Cellular Neural Network for CDMA Multiuser Detection
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Wireless Personal Communications: An International Journal
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We investigate the application of modified Hopfield neural networks (HNNs) based on Annealing Techniques to the problem of multiuser detection in spread spectrum CDMA communication systems. It is shown that the NP-complete problem of minimizing the objective function of the optimal multiuser detector (OMD) can be translated into minimizing an HNN “energy” function, thus allowed to take advantage of the ability of HNNs to perform very fast gradient descent algorithms in analog hardware. The performance of the proposed HNN receiver is evaluated via computer simulations and compared to that of the general HNN as well as to that of the OMD for CDMA transmission cases. It is shown that the modified HNN detection scheme exhibits a number of attractive properties and that it provides in fact more powerful performance than the general HNN scheme or the OMD scheme.