Title :
Near-MLD MIMO Detection Based on a Modified Ant Colony Optimization
Author :
Lain, Jenn-Kaie ; Chen, Jyun-Yu
Author_Institution :
Dept. of Electron. Eng., Nat. Yunlin Univ. of Sci. & Technol., Douliu, Taiwan
fDate :
8/1/2010 12:00:00 AM
Abstract :
In wireless multiple-input multiple-output (MIMO) systems, maximum-likelihood detection (MLD), is impractical because it requires an exhaustive search. This letter formulates MIMO MLD as a pathfinding problem shows it can be solved using a modified ant colony optimization. Simulation results demonstrate that the proposed method achieves near-MLD performance with low computational complexity.
Keywords :
MIMO communication; communication complexity; maximum likelihood detection; optimisation; low computational complexity; maximum-likelihood detection; modified ant colony optimization; near-MLD MIMO detection; pathfinding problem; wireless multiple-input multiple-output system; Ant colony optimization; Cities and towns; Computational complexity; Degradation; Detectors; Error analysis; MIMO; Maximum likelihood detection; Polynomials; Receiving antennas; Signal detection; Signal to noise ratio; Transmitting antennas; Ant colony optimization (ACO); maximum likelihood detection (MLD); multiple-input multiple-output (MIMO) systems;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2010.08.100347
