Title :
Novel low-complexity DS-CDMA multiuser detector based on ant colony optimization
Author :
Hijazi, Samer L. ; Natarajan, Balasubramaniam
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
Abstract :
We present a novel multiuser detection (MUD) technique, based on ant colony optimization (ACO), for synchronous direct sequence code division multiple access (DS-CDMA) systems. ACO algorithms are based on the cooperative foraging strategy of real ants. While an optimal MUD design using an exhaustive search method is prohibitively complex, we show that the ACO based MUD converges to the optimal BER performance in relatively few iterations, providing 9.5% saving in computational complexity.
Keywords :
code division multiple access; computational complexity; convergence of numerical methods; error statistics; iterative methods; multiuser detection; optimisation; search problems; spread spectrum communication; BER; MUD; ant colony optimization; computational complexity; cooperative foraging strategy; exhaustive search method; iterations; multiuser detection; synchronous DS-CDMA; synchronous direct sequence code division multiple access; Ant colony optimization; Bit error rate; Computational complexity; Detectors; Genetic algorithms; Maximum likelihood detection; Multiaccess communication; Multiuser detection; Particle swarm optimization; Search methods;
Conference_Titel :
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
Print_ISBN :
0-7803-8521-7
DOI :
10.1109/VETECF.2004.1400376
