Joint receive antenna selection and symbol detection for MIMO systems: a heterogeneous genetic approach

Authors:
Hoang-Yang Lu;Wen-Hsien Fang
Affiliations:
Dept. of Electrical Engineering, National Ocean University, Taiwan, R.O.C.;Dept. of Electronic Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C.
Venue:
IEEE Communications Letters
Year:
2009

Citing 4
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Abstract

This letter presents a joint scheme of receive antenna selection and symbol detection for multiple-input, multiple-output (MIMO) systems based on the maximum likelihood (ML) criterion. To mitigate the computational complexity, a novel variant of the genetic algorithm (GA) is addressed to solve the nonlinear optimization involved, where a new heterogenous crossover and a new heterogenous mutation are conducted in the chromosome evolution process. Furnished simulations show that the new approach provides superior performance with substantially lower computational load compared with previous works in both correlated and uncorrelated channels.