Title :
Ant-colony based optimal MC-CDMA multiuser detector
Author :
Hijazi, Samer L. ; Best, Andrew J. ; Natarajan, Balasubramaniam ; Das, Sanjoy
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
Abstract :
In this paper, we present a novel multiuser detection (MUD) technique based on ant colony optimization (ACO), for synchronous multi-carrier code division multiple access (MC-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 MUD BER performance in relatively few iterations providing 98% saving in computational complexity.
Keywords :
code division multiple access; error statistics; multiuser detection; optimisation; BER; MUD technique; ant colony optimization; computational complexity; cooperative foraging strategy; exhaustive search method; multiuser detection technique; optimal MC-CDMA multiuser detector; AWGN; Ant colony optimization; Bit error rate; Computational complexity; Detectors; Maximum likelihood detection; Multiaccess communication; Multicarrier code division multiple access; Multiuser detection; Particle swarm optimization;
Conference_Titel :
Wireless And Mobile Computing, Networking And Communications, 2005. (WiMob'2005), IEEE International Conference on
Print_ISBN :
0-7803-9181-0
DOI :
10.1109/WIMOB.2005.1512827
