Successive interference cancellation receiver with neural network compensation in the CDMA systems

Ming-Huang Yang Ming-Huang Yang,Jiann-Liang Chen Jiann-Liang Chen,Po-Yuen Cheng Po-Yuen Cheng

doi:10.1109/acssc.2000.911224

Ming-Huang Yang Ming-Huang Yang, Jiann-Liang Chen Jiann-Liang Chen + Show 1 more

https://doi.org/10.1109/acssc.2000.911224

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Publication Date: Oct 29, 2000

Citations: 6

Affiliation: National Dong Hwa University

Abstract

In code division multiple access (CDMA) systems, the multiple access interference (MAI) is one of the important factors that limit the system capacity. We propose a successive interference cancellation (SIC) scheme with neural network compensation to efficiently reduce the effect of MAI. In the literature, multi-stage SIC is often used to achieve an acceptable bit error rate (BER). Although multi-stage SIC can significantly reduce the BER, it will increase the system complexity as well. We propose a neural network-based multi-user SIC receiver that will both achieve low BER and reduce system complexity. The experimental results show our propose system has better BER performance than original SIC receiver at 30%.

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