Title :
Performance analysis of neural CDMA multiuser detector
Author :
Tanaka, Toshiyuki
Author_Institution :
Graduate Sch. of Eng., Tokyo Metropolitan Univ., Japan
Abstract :
We analyze the performance of neural code-division multiple-access (CDMA) multiuser detectors. Formal correspondence between the CDMA multiuser detection problem and recurrent neural networks such as the Hopfield neural network and the Boltzmann machines is established, based on which the replica analysis on the bit-error rate of the neural multiuser detectors is presented. Detection dynamics of the neural multiuser detectors is also analyzed based on statistical neurodynamics
Keywords :
code division multiple access; multiuser channels; recurrent neural nets; signal detection; statistical analysis; Boltzmann machines; CDMA multiuser detection problem; Hopfield neural network; bit-error rate; detection dynamics; formal correspondence; neural code-division multiple-access multiuser detectors; performance analysis; recurrent neural networks; replica analysis; statistical neurodynamics; Base stations; Detectors; Frequency division multiaccess; Hopfield neural networks; Multiaccess communication; Multiuser detection; Neurodynamics; Performance analysis; Recurrent neural networks; Time division multiple access;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.938825
