DocumentCode :
3318367
Title :
Weighting particle swarm, simulation annealing and local search optimization for S/MIMO MC-CDMA systems
Author :
Abrão, Taufik ; Ciriaco, Fernando ; Oliveira, Leonardo D. ; Angélico, Bruno A. ; Jeszensky, Paul Jean E ; Casadevall, Fernando
Author_Institution :
Dept. of Electr. Eng., State Univ. of Londrina, Londrina
fYear :
2008
fDate :
21-23 Sept. 2008
Firstpage :
1
Lastpage :
7
Abstract :
This paper analyzes the complexity-performance trade-off of three heuristic approaches applied to synchronous multicarrier multiuser detection (MUD) of single/multiple transmit antennas and multiple receive antennas code division multiple access (S/MIMO MC-CDMA) systems. Weighting particle swarm optimization (WOPSO) and unitary Hamming distance search-based strategies, specifically 1-opt local search (1-LS) and simulation annealing (SA) multiuser detection algorithms, were analyzed in details using a single-objective antenna-diversity-aided optimization approach. Monte-Carlo simulations show that, after convergence, the performances reached by the three heuristic MUD (HEUR-MUD) S/MIMO MC-CDMA algorithms are identical, with computational complexities remarkably smaller than the optimum multiuser detector (OMUD). However, the computational complexities could differ substantially depending on the operation system conditions. The complexities of the HEUR-MUDs were carefully analyzed in order to demonstrate that 1-LS scheme provides the best trade-off between implementation complexity aspects and bit error rate (BER) performance when applied to multiuser detection of S/MIMO MC-CDMA systems with low order modulation.
Keywords :
MIMO communication; Monte Carlo methods; code division multiple access; diversity reception; error statistics; multiuser detection; particle swarm optimisation; search problems; simulated annealing; Monte-Carlo simulation; S/MIMO MC-CDMA system; bit error rate; local search optimization; multicarrier multiuser detection; multiple receive antennas code division multiple ccess; simulation annealing; single-multiple transmit antenna; single-objective antenna-diversity-aided optimization; unitary Hamming distance search; weighting particle swarm optimization; Bit error rate; Computational complexity; MIMO; Multiaccess communication; Multicarrier code division multiple access; Multiuser detection; Particle swarm optimization; Receiving antennas; Simulated annealing; Transmitting antennas; MC-CDMA; multiuser detection; particle swarm optimization; simulating annealing; single-objective optimization; unitary Hamming distance search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Swarm Intelligence Symposium, 2008. SIS 2008. IEEE
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-2704-8
Electronic_ISBN :
978-1-4244-2705-5
Type :
conf
DOI :
10.1109/SIS.2008.4668315
Filename :
4668315
Link To Document :
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