A low-complexity hybrid algorithm based on particle swarm and ant colony optimization for large-MIMO detection

Expert Systems with Applications

Volumn 50, Issue , 2016, Pages 66-74

  Mandloi, Manish ^a   Bhatia, Vimal ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY INDORE   (India)

Author keywords

Ant colony optimization; Bit error rate; Maximum likelihood; Minimum mean squared error; Multiple input multiple output; Particle swarm optimization; Zero forcing

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIT ERROR RATE; CODES (SYMBOLS); COMPUTATIONAL COMPLEXITY; ERROR DETECTION; ERROR STATISTICS; ERRORS; EVOLUTIONARY ALGORITHMS; FEEDBACK CONTROL; MAXIMUM LIKELIHOOD; MEAN SQUARE ERROR; MIMO SYSTEMS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); TELECOMMUNICATION REPEATERS; WIRELESS TELECOMMUNICATION SYSTEMS;

ANT COLONY OPTIMIZATION ALGORITHMS; BIO-INSPIRED OPTIMIZATIONS; MINIMUM MEAN SQUARED ERROR; PARTICLE SWARM OPTIMIZATION ALGORITHM; PRE-MATURE CONVERGENCES; PROBABILISTIC SEARCH APPROACHES; WIRELESS COMMUNICATION SYSTEM; ZERO-FORCING;

ANT COLONY OPTIMIZATION;

EID: 84961353274     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2015.12.008     Document Type: Article

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