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

Volume

14

Issue

8

fYear

2010

fDate

8/1/2010 12:00:00 AM

Firstpage

722

Lastpage

724

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;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2010.08.100347

Filename

5545648