Population Declining Ant Colony Optimization Multiuser Detection in Asynchronous CDMA Communications

  • Authors:

  • Nan Zhao;Zhilu Wu;Yaqin Zhao;Taifan Quan

  • Affiliations:

  • School of Electronics and Information Technology, Harbin Institute of Technology, Harbin, China 150001;School of Electronics and Information Technology, Harbin Institute of Technology, Harbin, China 150001;School of Electronics and Information Technology, Harbin Institute of Technology, Harbin, China 150001;School of Electronics and Information Technology, Harbin Institute of Technology, Harbin, China 150001

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2012

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Abstract

In this paper we present a population declining ant colony optimization (PDACO) multiuser detector for asynchronous CDMA communications. Ant colony optimization (ACO) algorithms have already been used in multiuser detection in CDMA systems; however, as the pheromone accumulates, we may not get a global optimum because it stops searching early. PDACO can enlarge searching range through increasing the initial population of the ant colony, and the population declines in successive iterations. So, the performance of PDACO is superior with the same computational complexity. PDACO is applied to multiuser detection in asynchronous CDMA systems over slowly multipath Rayleigh-fading channels in this paper. Via computer simulations it is shown that the performance of PDACO detector is much better in bit-error rate and near-far effect resistance than conventional detector, ACO detector and genetic algorithm detector, and is close the optimal multiuser detector.