Title
Application of ant colony optimization based algorithm in MIMO detection
Abstract
Ant colony optimization (ACO), inspired by the ants' foraging behavior, is one of the most recent techniques for solving optimization problems. We present an ACO based algorithm for symbol detection in multi-input multi-output (MIMO) system. Since symbol detection is an NP-hard problem so ACO is particularly attractive as ACO algorithms are one of the most successful strands of swarm intelligence and are suitable for applications where low complexity and fast convergence is of absolute importance. Maximum Likelihood (ML) detector gives optimal results but it uses exhaustive search technique. We show that ACO based detector can give near-optimal bit error rate (BER) at a much lower complexity level. The simulation results suggest that the proposed detector gives an acceptable performance complexity trade-off in comparison with ML and VBLAST detectors.
Year
DOI
Venue
2010
10.1109/CEC.2010.5586173
IEEE Congress on Evolutionary Computation
Keywords
Field
DocType
ant colony optimization algorithm,bit error rate,maximum likelihood detector,np-hard problem,ml detector,particle swarm optimisation,multi-input multi-output systems,maximum likelihood detection,ber,multiinput multioutput system,mimo symbol detection,computational complexity,telecommunication computing,aco,mimo communication,vblast detectors,symbol detection,aco algorithm,error statistics,spatial multiplexing system,swarm intelligence,optimization problem,foraging behavior,maximum likelihood,optimization,multiplexing,ant colony optimization,wireless communication,mimo,spatial multiplexing,np hard problem,exhaustive search,detectors
Ant colony optimization algorithms,Computer science,Swarm intelligence,Artificial intelligence,Optimization problem,Detector,Bit error rate,Mathematical optimization,Brute-force search,MIMO,Algorithm,Machine learning,Computational complexity theory
Conference
ISBN
Citations 
PageRank 
978-1-4244-6909-3
5
0.48
References 
Authors
8
3
Name
Order
Citations
PageRank
Kiran Khurshid150.48
Safwat Irteza250.48
Adnan Ahmed Khan3287.09