This letter deals with an advanced minimum mean-squared error receiver for applications to uplink transmissions in a multiuser code-division multiple-access system. The receiver is implemented by means of a suitable neural network in order to enhance the receiver convergence speed in the case of fast fading. Performance comparisons with classical approaches highlights a better behavior for the proposed scheme.
R. Fantacci, D. Tarchi, M. Marini, A. Rabbini (2006). A neural network approach to MMSE receivers in a DS-CDMA multipath fading environment. IEEE TRANSACTIONS ON COMMUNICATIONS, 54, 778-782 [10.1109/TCOMM.2006.874011].
A neural network approach to MMSE receivers in a DS-CDMA multipath fading environment
TARCHI, DANIELE;
2006
Abstract
This letter deals with an advanced minimum mean-squared error receiver for applications to uplink transmissions in a multiuser code-division multiple-access system. The receiver is implemented by means of a suitable neural network in order to enhance the receiver convergence speed in the case of fast fading. Performance comparisons with classical approaches highlights a better behavior for the proposed scheme.File in questo prodotto:
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