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Reseach Article

Performance Evaluation of Physical Layer of Mobile WiMAX System by Implementing Hybrid Channel Coding Scheme

by Jagdish D. Kene, Kishor D. Kulat
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 94 - Number 1
Year of Publication: 2014
Authors: Jagdish D. Kene, Kishor D. Kulat
10.5120/16310-5538

Jagdish D. Kene, Kishor D. Kulat . Performance Evaluation of Physical Layer of Mobile WiMAX System by Implementing Hybrid Channel Coding Scheme. International Journal of Computer Applications. 94, 1 ( May 2014), 30-34. DOI=10.5120/16310-5538

@article{ 10.5120/16310-5538,
author = { Jagdish D. Kene, Kishor D. Kulat },
title = { Performance Evaluation of Physical Layer of Mobile WiMAX System by Implementing Hybrid Channel Coding Scheme },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 94 },
number = { 1 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume94/number1/16310-5538/ },
doi = { 10.5120/16310-5538 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:16:28.163832+05:30
%A Jagdish D. Kene
%A Kishor D. Kulat
%T Performance Evaluation of Physical Layer of Mobile WiMAX System by Implementing Hybrid Channel Coding Scheme
%J International Journal of Computer Applications
%@ 0975-8887
%V 94
%N 1
%P 30-34
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The demand of wireless communication is high data rate along with error free communication. An error in communication can be reduced by employing proper channel coding techniques. In this paper, authors have proposed the hybrid channel coding scheme in which convolution codes and turbo codes are combined to perform together. This scheme helps to provide smooth communication with high data rate even under different channel conditions. The SNR is the threshold parameter for adaptive encoding which can be measured by the channel estimation techniques for mobile WiMAX system. Authors have also taken efforts for adding adaptive code rate and modulation schemes for optimizing the mobile WiMAX system. Use of proper adaptive coding for optimizing the performance of mobile WiMAX system can be achieved. For this newly introduced hybrid scheme, the analysis and simulation are carried out with respective to standard AWGN channel which shows improved Bit Error Rate performance and also overcomes the drawbacks such as high complexity, decoding delay and power requirement.

References
  1. Kene J. D. and Kulat K. D. , 2011. Performance Evaluation of IEEE 802. 16e Wi-Max Physical Layer, in Proc. of IEEE Conf. NUiCONE, 1-4.
  2. Kene J. D. and Kulat K. D. , 2012. Performance Optimization of Physical Layer Using Turbo Codes: A Case Study of Wi-Max Mobile Environment, In Proc. of IEEE Conf. , ET2ECN.
  3. Kene J. D. and Kulat K. D. , 2012. Soft Output Decoding Algorithm for Turbo Codes Implementation in Mobile Wi-Max Environment, Elsevier Vol. 6, 666-673.
  4. Kene J. D. and Kulat K. D. , 2013. Iterative Decoding Termination Schemes for Turbo Code Performance Optimization In Mobile Wi-Max Environment, International Journal of Computer Science Issues (IJCSI), Vol. 10, Issue 4, 14-19.
  5. Kene J. D. and Kulat K. D. , 2013. Channel Estimation for High Data Rate Communication in Mobile Wi-Max System, International Journal of Electronics and Communication Engineering & Technology (IJECET), vol. 4, Issue 3, 115-123.
  6. Berrou C. , 1996. Near Optimum Error Correcting Coding and Decoding: Turbo Codes, IEEE Transactions on Communications, Vol. 44, No. 1.
  7. Chen H. , Sun X. and Dai L. , 2010. A LDPC and Turbo Codes Hybrid Coding Scheme Based on OFDM System, in 6th International Conference on Wireless Communications Networking and Mobile computing (WiCOM), 1-4.
  8. Pauluzzi D. R. and Beaulieu N. C. , 2000. A Comparison of SNR Estimation Techniques for the AWGN Cannel, IEEE Trans. Communication, Vol. 48, 1681-1691.
  9. Pyndiah R. M. , 1998. Near-optimum decoding of product codes: block turbo codes, IEEE Trans. Communication, vol. 46, No. 8.
  10. Hagenauer J. , Offer E. and Papke L. , 1996. Iterative decoding of binary block and convolutional codes, IEEE Trans. Info. Theory, Vol. 42, No. 2.
  11. Bahl L. , Cocke J. , Jelinek F. , and Raviv J. , 1974. Optimal decoding of linear codes for minimizing symbol error rate, IEEE Trans. Inform. Theory, Vol. 20, 284-287.
  12. Sadjadpour H. R. and Park F. , 2000. Maximum A Posteriori decoding algorithms for turbo codes, In digital wireless communication II, Proc of SPIE, Vol. 4045, 73-83.
  13. Bhise A. and Vyavahare P. , 2008. Low Complexity Hybrid Turbo Codes, in Proc. of IEEE Conf. on Wireless Communications and Networking, 1050-1055.
  14. Adhicandra I. , Garroppo R. G. and Giordano S. , 2009. Optimizing System Capacity and Application Delays in WiMAX Networks, in Proc. of IEEE Conf. ISWCS, 540-544.
  15. Wu K. and Ping L. , 2004. Improved Two-state Turbo SPC code for Wireless Communication Systems, IEEE Trans. Communication, Vol. 52, No. 8, 1238- 1241.
  16. Wang F. , Ghosh A. , Sankaran C. , Fleming P. J. , Hsieh F. , and Benes S. J. , 2008. Mobile WiMAX Systems: Performance and Evolution, IEEE Communications Magazine, 41-49.
  17. S. -J. Lee, M. Goel, Y. Zhu, J. -F. Ren, and Y. Sun, Forward error correction decoding for WiMAX and 3GPP LTE modems, in Proc. 42nd Asilomar Conference on Signals, Systems and Computers, 26-29 Oct. 2008, 1143-1147.
  18. IEEE 802. 16-2006: IEEE Standard for Local and Metropolitan Area Networks - Part 16: Air Interface for Fixed Broadband Wireless Access Systems.
  19. IEEE. Standard 802. 16-2004. Part16: Air interface for fixed broadband wireless access systems, October 2004.
  20. Andrews J. G. , Ghosh A. and Wolter D. R. , 2005. Broadband Wireless Access with WiMax/8O2. 16: Current Performance Benchmarks and Future Potential, IEEE Communications Magazine.
Index Terms

Computer Science
Information Sciences

Keywords

Mobile WiMAX FEC codes Convolution codes Turbo codes Channel estimation.