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Optimization of Threshold based Rate Adaptation Technique in Wireless Network

by Lily Mishra, M.h.patwardhan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 5
Year of Publication: 2015
Authors: Lily Mishra, M.h.patwardhan
10.5120/21539-4549

Lily Mishra, M.h.patwardhan . Optimization of Threshold based Rate Adaptation Technique in Wireless Network. International Journal of Computer Applications. 121, 5 ( July 2015), 30-35. DOI=10.5120/21539-4549

@article{ 10.5120/21539-4549,
author = { Lily Mishra, M.h.patwardhan },
title = { Optimization of Threshold based Rate Adaptation Technique in Wireless Network },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 5 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number5/21539-4549/ },
doi = { 10.5120/21539-4549 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:41.227696+05:30
%A Lily Mishra
%A M.h.patwardhan
%T Optimization of Threshold based Rate Adaptation Technique in Wireless Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 5
%P 30-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Adaptive Modulation and Coding technique has emerged as a bandwidth efficient transmission scheme. It is motivated by its ability to improve spectral efficiency by adapting the transmission rates to the variations in channel signal-to-noise ratio. The implementation of apt rate adaptation algorithms based on either signal to noise ratio or successful packet transmission has been the crucial factor in Adaptive Modulation and Coding. This work focuses upon enhancing the data rate while implementing Adaptive Modulation and coding by modifying the rate adaptation algorithm in the context of IEEE 802. 11 WLAN network. The signal to noise ratio threshold based rate adaptation algorithm was modified using MATLAB/SIMULINK. The said modification in the algorithm without disturbing the signal-to-noise ratio threshold values resulted into the enhancement of data rates. It also demonstrated that in the varying channel conditions, the modified algorithm would be able to minimize the number of transitions needed to achieve a particular mode of adaptive Modulation and Coding.

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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Modulation and Coding (AMC) Rate adaptation signal-to-noise ratio threshold value.

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