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Adaptive Modulation Based Link Adaptation for High Speed Wireless Data Networks using Fuzzy Expert System

Published on August 2015 by Kuldeep Singh, Jatin Shama, Danish Shama
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International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 5
August 2015
Authors: Kuldeep Singh, Jatin Shama, Danish Shama
0fbb8bf2-8a83-4c61-a9a2-441d726a8bbc

Kuldeep Singh, Jatin Shama, Danish Shama . Adaptive Modulation Based Link Adaptation for High Speed Wireless Data Networks using Fuzzy Expert System. International Conference on Advancements in Engineering and Technology. ICAET2015, 5 (August 2015), 30-34.

@article{
author = { Kuldeep Singh, Jatin Shama, Danish Shama },
title = { Adaptive Modulation Based Link Adaptation for High Speed Wireless Data Networks using Fuzzy Expert System },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 5 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 30-34 },
numpages = 5,
url = { /proceedings/icaet2015/number5/22240-4070/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Kuldeep Singh
%A Jatin Shama
%A Danish Shama
%T Adaptive Modulation Based Link Adaptation for High Speed Wireless Data Networks using Fuzzy Expert System
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 5
%P 30-34
%D 2015
%I International Journal of Computer Applications
Abstract

With drastic increase in demand of high speed data services, achieving better performance of high speed wireless data networks becomes a challenging task because of limited available spectrum and uncertain nature of wireless communication link. Adaptive modulation based link adaptation is one of the solutions to this problem which predicts the efficient modulation technique among the available modulation techniques depending upon state of channel to ensure high performance of data networks. In this paper, Fuzzy Expert System has been introduced which chooses efficient modulation technique among QPSK, 8 QAM, 16 QAM, 32 QAM and 64 QAM depending upon SNR, BER values and current modulation type. This system gives satisfactory results for prediction of better modulation technique among others to implement adaptive modulation based link adaptation which further enhances the performance of high speed wireless data networks by ensuring error free delivery and high spectral efficiency.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Qpsk Qam Snr Ber Fuzzy Expert System