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    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Cecilia Xie
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    • Average Days from Submission to Acceptance: 192 days
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IJCTE 2012 Vol.5(2): 326-330 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2013.V5.703

Analysis of WiMAX Performance Improvement Using Serial and Parallel Concatenated Convolutional Codes

P. Rastegari, M. Majidi, and M. Khalilian

Abstract—This paper is proposed for analysis of WiMAX performance improvement by coding and iterative decoding algorithms. Forward error correction (FEC) is one of the most important sections in physical layer of WiMAX system. IEEE802.16 standard has offered several types of FEC for WiMAX e.g. Reed Solomon and Convolutional Code (RS-CC). This paper offers using of two kinds of Turbo codes, Serial and parallel concatenated convolutional codes (SCCCs and PCCCs) with suitable parameters as FEC for WiMAX. Simulations are carried out for RS-CC, SCCC and PCCC. BPSK and 64QAM are selected as modulation schemes in simulations. Simulation results show that the use of SCCC and PCCC has better performance than RS-CC because of their superior coding and iterative decoding algorithm in this work.

Index Terms—WiMAX, SCCC, PCCC, iterative decoding algorithm.

P. Rastegari was with the Electrical Engineering Department, Islamic Azad University, Najafabad Branch, Iran (e-mail: parisa_rastegari @sel.iaun.ac.ir).
M. Majidi is with the Electrical Engineering, Amirkabir University of Technology, Tehran, Iran (e-mail: mmajidi@aut.ac.ir).
M. Khalilian is with the Electrical Engineering Department, Islamic Azad University, Najafabad Branch, Iran (e-mail: m.khalilian@iaun.ac.ir).

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Cite: P. Rastegari, M. Majidi, and M. Khalilian, "Analysis of WiMAX Performance Improvement Using Serial and Parallel Concatenated Convolutional Codes," International Journal of Computer Theory and Engineering vol. 5, no. 2, pp.  326-330, 2013.


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