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has been cited by the following article:

• TITLE: Significant of BER Detection Using Hybrid Genetic Algorithm for CDMA System

  AUTHORS: Anwar Hassan Ibrahim

  KEYWORDS: CDMA, GA, BER, SNR

  JOURNAL NAME: Journal of Computer and Communications, Vol.6 No.5, May 22, 2018

  ABSTRACT: In this paper, CDMA system is considered to enhance the detection techniques, which uses genetic algorithm practice to introduce an optimum multi-user indicator based on bit synchronization for code division multiple access via high level of noise (Gaussian channel). The proposed method presented in this paper is to define the transmitted bit sequence and optimization in the receiver using hybrid GA scheme, which considered a complicated method to match the users’ bits correlation metric. A Matlab simulation results shows that, the BER performance under certain condition of SNR for multi-user detector methods indicate the single-user convolution bound, despite the fact that a lower complication as associated to the best multi-user detection. Particularly the hybrid GA structure is more suitable for a high number of users and suitable for CDMA system enhancement in order to perform lower computational complexity in shorter time period.