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Comparison of Adaptive Mutation Genetic Algorithm and Genetic Algorithm for Transmit Antenna Subset Selection in MIMO- OFDM

by Nidhi Sindhwani, Manjit Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 22
Year of Publication: 2014
Authors: Nidhi Sindhwani, Manjit Singh
10.5120/17139-7727

Nidhi Sindhwani, Manjit Singh . Comparison of Adaptive Mutation Genetic Algorithm and Genetic Algorithm for Transmit Antenna Subset Selection in MIMO- OFDM. International Journal of Computer Applications. 97, 22 ( July 2014), 22-28. DOI=10.5120/17139-7727

@article{ 10.5120/17139-7727,
author = { Nidhi Sindhwani, Manjit Singh },
title = { Comparison of Adaptive Mutation Genetic Algorithm and Genetic Algorithm for Transmit Antenna Subset Selection in MIMO- OFDM },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 22 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number22/17139-7727/ },
doi = { 10.5120/17139-7727 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:24:48.877517+05:30
%A Nidhi Sindhwani
%A Manjit Singh
%T Comparison of Adaptive Mutation Genetic Algorithm and Genetic Algorithm for Transmit Antenna Subset Selection in MIMO- OFDM
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 22
%P 22-28
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multiple input multiple output techniques are considered attractive for future wireless communication systems, due to the continuing demand for high data rates, spectral efficiency, suppress interference ability and robustness of transmission. MIMO-OFDM is very helpful to transmit high data rate in wireless transmission and provides good maximum system capacity by getting the advantages of both MIMO and OFDM. The main problem in this system is that increase in number of transmit and receive antennas lead to hardware complexity. To tackle this issue, an effective optimal transmit antenna subset selection method is proposed in paper with the aid of Adaptive Mutation Genetic Algorithm (AGA). Here, the selection of transmit antenna subsets are done by the adaptive mutation of Genetic Algorithm in MIMO-OFDM system. For all the mutation points, the fitness function are evaluated and from that value, best fitness based mutation points are chosen. After the selection of best mutation points, the mutation process is carried out, accordingly. Moreover, the comparison results between the GA with mutation and our GA with adaptive mutation are discussed. Hence, using the proposed work, the selection of transmit antenna with the maximum capacity is made and which leads to the reduced hardware complexity and undisturbed data rate in the MIMO-OFDM system

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Index Terms

Computer Science
Information Sciences

Keywords

Multiple-Input Multiple-Output systems Orthogonal Frequency Division Multiplexing Ergodic capacity Genetic Algorithm Adaptive Mutation

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