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Reseach Article

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
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
  1. Goldsmith, A. J. and Chua, S. G. , "Adaptive coded modulation for fading channels", IEEE Transactions on Communications, Vol. 46, No. 5, May 1998, 595-602.
  2. Zalonis, A. , Miliou, N. , Dagres, I. , Polydoros, A. , and Bogucka, H. , "Trends in Adaptive modulation and Coding", Advances in Electronics and Telecommunications, Vol. 1, No. 1, April 2010, 104-111.
  3. Tan, P. H. , Yan Wu and Sun, S. , "Link Adaptation Based on Adaptive Modulation and Coding for Multiple-Antenna OFDM System", IEEE Journal on Selected Areas of Communications, Vol. 26, No. 8, October, 2008, 1599-1606.
  4. Parminder Kaur, Kuldeep Singh and Hardeep Kaur. 2014. Adaptive Modulation of OFDM by using Back Propagation Neural Network (BPNN). In Proceedings of International Multi Track Conference on Science, Engineering & Technical Innovations, Vol. 1, Jalandhar, Punjab, India, (June 2014), 511-514.
  5. Parminder Kaur, Kuldeep Singh and Hardeep Kaur, "Adaptive Modulation of OFDM using Radial Basis Function Neural Network", International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Vol. 3, Issue 6, June 2014, 6886-6888.
  6. Alam, I. , Srivastva, V. , Prakash, A. , Tripathi, R. , and Shankhwar, A. K. 2013. Performance Evaluation of Adaptive Modulation Based MC-CDMA System. Wireless Engineering and Technology, Scientific Research, (2013), 54-58.
  7. Zadeh, L. A. Fuzzy Logic, Neural Networks, and soft computing.
  8. Arshdeep Kaur, Sanchit Mahajan and Kuldeep Singh, 2014. Site Selection for Installation of Cellular Towers using Fuzzy Logic Technique. In Proceedings of National Conference on Latest Developments in Science, Engineering & Management (LDSEM-2014), Amritsar, Punjab, India, (March 2014), 343-347.
  9. Fuzzy Logic Toolbox for use with MATLAB – Users Guide. (2015).
  10. Kolding, T. E. , Pedersen, K. I. , Wigard, J. , Frederiksen, F. , and Mogensen, P. E. 2003. High Speed Downlink Packet Access: WCDMA Evolution. IEEE Vehicular Technology Society News, (February 2003), 4-10.
Index Terms

Computer Science
Information Sciences

Keywords

Qpsk Qam Snr Ber Fuzzy Expert System