DocumentCode :
2550572
Title :
Heuristics Assisted Detection in High Speed Wireless Communication Systems
Author :
Khan, LAdnan Ahmed ; Bashir, Sajid ; Naeem, Muhammad ; Shah, Syed Ismail
Author_Institution :
CASE, Univ. of Eng. & Technol., Taxila
fYear :
2006
fDate :
23-24 Dec. 2006
Firstpage :
1
Lastpage :
5
Abstract :
Swarm intelligence assisted multi-input-multi-output (MIMO) system is presented in this paper. Efficient symbol detection of MIMO system is performed using swarm-intelligence inspired iterative robust stochastic algorithm. Optimized detection based on "memetic" (local search) particle swarm optimization (MPSO) is also proposed. These PSO-MIMO and MPSO-MIMO system detectors significantly reduce the computational complexity as compared to the conventional maximum likelihood (ML) detection technique. The simulation results achieved with these detectors show near ML performance. These new heuristic based symbol detection techniques are efficient for systems using high-order modulation schemes and large number of antennas where conventional ML detector becomes computationally non-practical to use. These proposed detectors are best suited for high- speed wireless communication systems
Keywords :
MIMO communication; iterative methods; particle swarm optimisation; signal detection; stochastic processes; MIMO system; computational complexity; heuristics assisted detection; high-order modulation schemes; iterative robust stochastic algorithm; particle swarm optimization; swarm intelligence; symbol detection; wireless communication systems; Computational complexity; Computational modeling; Detectors; Iterative algorithms; MIMO; Maximum likelihood detection; Particle swarm optimization; Robustness; Stochastic systems; Wireless communication; ML detection; Multi-Input Multi-Output systems (MIMO); heuristic; memetic; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multitopic Conference, 2006. INMIC '06. IEEE
Conference_Location :
Islamabad
Print_ISBN :
1-4244-0795-8
Electronic_ISBN :
1-4244-0795-8
Type :
conf
DOI :
10.1109/INMIC.2006.358125
Filename :
4196368
Link To Document :
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