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Hysteretic HNN MAI-Cancellation for CDMA Signals in Multipath Fading Channels

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Abstract

Multiple-access interference cancellation using hysteretic Hopfield neural network receiver for direct sequence code-division multiple access (DS-CDMA) in multipath fading channels is investigated. It has been shown that by applying the phenomenon of “hysteresis” to the Hopfield neural network (HNN) detector, performance of this detector may be enhanced in all near-far situations for different number of multipath rays. Introducing the concept of Hysteresis into HNN has made this suboptimum CDMA detector even closer to the optimum multiuser CDMA detector. As shown by simulation results, the bit-error rate performance achieved by the Hysteretic Hopfield Neural Network detector outperforms the classical HNN detector with a good margin and is promising.

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, European University of Lefke, Gemikonagi, Turkish Republic of Northern Cyprus

    Ebrahim Soujeri

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  1. Ebrahim Soujeri
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Correspondence to Ebrahim Soujeri.

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Soujeri, E. Hysteretic HNN MAI-Cancellation for CDMA Signals in Multipath Fading Channels. Neural Process Lett 31, 129–145 (2010). https://doi.org/10.1007/s11063-010-9131-3

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  • DOI: https://doi.org/10.1007/s11063-010-9131-3

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