Multiuser detection: Comparative analysis of heuristic approach
Sohail et al. · International Journal of ADVANCED AND APPLIED SCIENCES · 2017
Multiple users simultaneously accessing the resource give rise to interference.In such a scenario maximum likelihood multiple user detector is optimum but at the cost of increased computational complexity.Detectors based on evolutionary techniques have been discussed in this paper that evidently reduces complexity by heuristically finding the solution in the search space.We present genetic algorithm (GA), differential evolution (DE) and variants of PSO to minimize the average bit error rate (BER) against number of iterations and SNR in synchronous transmission for the discrete problem.Analysis of each algorithm is discussed separately and comparison is presented for performance analysis.The result has been generated using Monte Carlo simulations and show superiority of Soft PSO in noise prone scenarios.