Comparison Analysis of CDMA Multiuser Detection using PSO and SMO

Using Spider monkey optimization (SMO) has become a common heuristic technique in many fields of engineering. In this paper, we apply SMO to solve near far effect problems in code division multiple access (CDMA) system, to reduce the computational complexity. The new approach is successfully tested in CDMA multiuser situation. The simulation results show that proposed algorithm is effective and outperforms as compare to methods like Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).

[1]  Cong Wang.  A Completely Binary and Hardware-Efficient PSO for CDMA Multiuser Detection , 2014, 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics.

[2]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[3]  Atefeh Hajijamali Arani,et al.  Joint multiuser and inter-symbol interference suppression in CDMA systems using particle swarm optimization algorithms , 2013, 2013 21st Iranian Conference on Electrical Engineering (ICEE).

[4]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[5]  Fatima Debbat,et al.  A review of heuristic near-optimum MuD for MC-CDMA systems , 2014, 2014 International Conference on Multimedia Computing and Systems (ICMCS).

[6]  Harish Sharma,et al.  Spider Monkey Optimization algorithm for numerical optimization , 2014, Memetic Computing.

[7]  Zhilu Wu,et al.  A Multiuser Detector Based on Artificial Bee Colony Algorithm for DS-UWB Systems , 2013, TheScientificWorldJournal.

[8]  Hsiao-Hwa Chen,et al.  Uplink pre-equalization for CC-CDMA systems under frequency selective fading , 2013, 2013 IEEE International Conference on Communications (ICC).

[9]  M. Symington,et al.  Fission-fusion social organization inAteles andPan , 1990, International Journal of Primatology.