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