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BER Analysis of WiMAX using Diverse Channel Encoding Schemes over AWGN and Rayleigh Channel


  • School of Electronics and Electrical Engineering, Lovely Professional University, Punjab – 144411, India


WiMAX is the modern era wireless technology which gained popularity because of its efficiency, high coverage, scalability and high data rates in any terrain. WiMAX is a Wireless Metropolitan Area Network (WMAN) being used globally for broadband access. There is always a demand for improvement in systems, which in the case of WiMAX can be achieved by using a better coding scheme with a proper modulation technique. In this paper, a comparison has been made on performances of different forward error correction codes on two channels- AWGN and Rayleigh channel. AWGN channel simply adds white Gaussian noise to the signal transmitted through it whereas Rayleigh channel is a fading multipath channel whose characteristics vary continuously with time. The results show that Turbo codes perform the best amongst all the coding techniques, and AWGN channel response is much better than the response of Rayleigh channel. This is because there is no line of sight component in Rayleigh channel and having obstructions in the path of the signal leads to signal fading. These results are shown in this paper as graphical analysis between BER and SNR.


Additive White Gaussian Noise (AWGN), Bit Error Rate (BER), Signal to Noise Ratio (SNR), Wireless Metropolitan Area Network (WMAN), Worldwide Interoperability for Microwave Access (WiMAX).

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  • Ohrtman F, Mc Graw Hill. WiMAX Handbook 802.16 Wireless Networks; 2005.
  • Rappaport T. S. Wireless communications principles and practice. Second Edition, Pretence Hall; 2002.
  • Mohan K. J, Cheriyan R. High-Speed address generating design for the dynamic modulation scheme supportive WiMAX deinterleaver. In Proceedings of International Conference on Magnetics, Machines and Drives. Kottayam.Jul 2014. p. 1–5.
  • Xinyu Z, Xi’an. A basic research on forward error correction.In Proceedings of International Conference on Communication Software and Networks. May 2011. p.462–65.
  • Ding C, Du X, Zhou Z. The bose and minimum distance of a class of BCH Codes. IEEE Transaction Information Theory. May 2015; 61(5):2351–356.
  • Campbell RL, Ebel WJ. Simulation issues for binary digital communication systems using BCH and RS codes.In Proceedings of IEEE, Bringing Together Science and Technology, Tampa, Florida, USA. April 1996. p.191-94.
  • Almoliki YM, Aldhaeebi MA, Almwald GA, Shoabi MA.The performance of RS and RSCC coded cooperation system using higher order modulation schemes. In Proceedings of International Conference on Intelligent Systems, Modelling and Simulation, Kuala Lumpur. Feb2015. p. 211-14.
  • Liu H, Huang Q, Deng G. Chen J. Quasi-Cyclic representation and vector representation of RS-LDPC codes.IEEE Transactions on Communication. Feb 2015; 63 (4): 1033–42.
  • Patidar M, Dubey R, Jain NK, Kulpariya S. Performance analysis of WiMAX 802.16e Physical Layer. In Proceedings of S. Conference on Wireless and Optical Communication Networks, Indore. Sep 2012. p. 1–4.
  • Khan S, Fisal N, Bakar ZA, Salawu N, Maqbool W, Ullah R, Safdar H. Secure authentication and key management protocols for mobile multihop WiMAX networks. Indian Journal of Science and Technology. Jan 2014; 7(3):282–95.
  • Singh C, Patterh MS, Sharma S. Design of programmable digital down converter for Wimax. Indian Journal of Science and Technology. Mar 2009; 2(3):20–21.
  • Qamar RA, Maarof MA, Ibrahim S. An efficient encoding algorithm for (n, k) binary cyclic codes. Indian Journal of Science and Technology. May 2012; 5(5):2757–61.


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