Fuzzy Logic Based Modified Adaptive Modulation Implementation for Performance Enhancement in OFDM Systems

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Author(s)

Kuldeep Singh 1,*

1. Guru Nanak Dev University Regional Campus Fattu Dhinga, Kapurthala, Punjab, India-14606

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2016.05.07

Received: 28 Jul. 2015 / Revised: 20 Nov. 2015 / Accepted: 17 Jan. 2016 / Published: 8 May 2016

Index Terms

Adaptive Modulation, Bit Error Rate (BER), Coding Rate, Fuzzy Inference System (FIS), Orthogonal Frequency Division Multiplexing (OFDM), Signal to Noise Ratio (SNR)

Abstract

Adaptive modulation is one of the recent technologies used to improve future communication systems. Many adaptive modulation techniques have been developed for the improving the performance of Orthogonal Frequency Division Multiplexing (OFDM) system in terms of high data rates and error free delivery of data. But uncertain nature of wireless channel reduces the performance of OFDM system with fixed modulation techniques. In this paper, modified adaptive modulation technique has been proposed which adapts to the nature of communication channel based upon present modulation order, code rate, BER and SNR characterizing uncertain nature of communication channel by using a Fuzzy Inference System which further enhances the performance of OFDM systems in terms of high transmission data rate and error free delivery of data.

Cite This Paper

Kuldeep Singh, "Fuzzy Logic Based Modified Adaptive Modulation Implementation for Performance Enhancement in OFDM Systems", International Journal of Intelligent Systems and Applications(IJISA), Vol.8, No.5, pp.49-54, 2016. DOI:10.5815/ijisa.2016.05.07

Reference

[1]Hara, S., & Prasad, R., “Multicarrier techniques for 4G mobile communications”, Artech House, 2003.
[2]Li, Ye Geoffrey, and Gordon L. Stuber. “Orthogonal frequency division multiplexing for wireless communications”. Springer, 2006.
[3]Faezah, J., and K. Sabira. “Adaptive Modulation for OFDM Systems” International Journal of Communication Networks & Information Security 1.2, 2009.
[4]K. Seshadri Sastry and Dr.M.S.Prasad Babu. “Adaptive Modulation for OFDM system using Fuzzy logic interface”, IEEE ICSESS, 368-371, 2010.
[5]Atta-ur-Rahman, Ijaz Mansoor Qureshi, and Aqdas Naveed Malik, “Adaptive Resource Allocation in OFDM Systems Using GA and Fuzzy Rule Base System”. World Applied Sciences Journal 18.6, 836-844, 2012.
[6]Harivikram, T. S., et al. “Adaptive Modulation and Coding Rate for OFDM Systems”. International Journal of Emerging Technology and Advanced Engineering. Vol. 3, Issue 2, 250-255, 2013.
[7]K. Seshadri Sastry and Dr.M.S.Prasad Babu. “Fuzzy logic based Adaptive Modulation Using Non Data Aided SNR Estimation for OFDM system”. International Journal of Engineering Science and Technology, Vol. 2(6), 2384-2392, 2010.
[8]Qureshi, Ijaz Mansoor, and M. Zeeshan Muzaffar. “Adaptive Coding and Modulation for OFDM Systems using Product Codes and Fuzzy Rule Base System”.
International Journal of Computer Applications 35.4, 2011.
[9]Atta-ur-Rahman, Ijaz Mansoor Qureshi, and Aqdas Naveed Malik. “A Fuzzy Rule Base Assisted Adaptive Coding and Modulation Scheme for OFDM Systems”. J. Basic. Appl. Sci. Res., 2(5)4843-4853, 2012..
[10]Khem Kumar Nagar, Kanchan Sharma. “Adaptive OFDM Implementation Using Fuzzy Inference System” International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 7, 2013.
[11]Seetha Subramanian, Mohanavalli, and Sheila Anand. “Fuzzy system to authenticate assisted living patients in their home environment” Journal of Computer Science 9.5, 2013.
[12]Klir, George J., and Bo Yuan. Fuzzy sets and fuzzy logic. Vol. 4. New Jersey: Prentice Hall, 1995
[13]Ross, Timothy J., Fuzzy logic with engineering applications. John Wiley & Sons, 2009.
[14]Parminder Kaur, Kuldeep Singh, Hardeep Kaur. “Performance analysis of MIMO-OFDM system in 4g technologies: A Review”. International Journal of Mathematical and Engineering sciences, 2014.