Transmit Antenna Selection in MIMO-OFDM Systems Based on the Priority-Based Multi-Parent Genetic Algorithm

DOI: 10.5176/2251-225X_MobiCONA1235

Authors: Che-Wei Kuo and Jenn-Kaie Lain

Abstract:
Multiple-input multiple-output (MIMO) systemsallow for high data rates and improve quality oftransmission but at the expense of the hardwarecomplexity due to multiple antenna elements and radiofrequency chains. MIMO orthogonal frequency divisionmultiplexing (MIMO-OFDM), widely used in manywireless communication systems, inherits from MIMOsystems the drawback of high implementation cost ofmultiple antenna elements and radio frequency chains. Inrecent years, antenna selection technique has beenproposed to reduce the MIMO hardware complexity.Based on the multi-parent genetic algorithm (MPGA), thispaper presents a novel transmit antenna selection (TAS)technique for MIMO-OFDM systems. Simulation resultsdemonstrate that the channel achievable rate implementedby the proposed priority-based MPGA TAS ultimatelycloses to the optimal channel capacity obtained byexhaustive search algorithm (ESA). Further, thispriority-based MPGA TAS algorithm requiresapproximately 50{6e6090cdd558c53a8bc18225ef4499fead9160abd3419ad4f137e902b483c465} of the computational complexity of theES method.
Keywords: Antenna selection, MIMO-OFDM,channel capacity, gene algorithm.