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Investigation of Channel Coding Techniques for High Data Rate Mobile Wireless Systems

by Samridhi, Jyoteesh Malhotra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 3
Year of Publication: 2015
Authors: Samridhi, Jyoteesh Malhotra
10.5120/20135-2226

Samridhi, Jyoteesh Malhotra . Investigation of Channel Coding Techniques for High Data Rate Mobile Wireless Systems. International Journal of Computer Applications. 115, 3 ( April 2015), 39-45. DOI=10.5120/20135-2226

@article{ 10.5120/20135-2226,
author = { Samridhi, Jyoteesh Malhotra },
title = { Investigation of Channel Coding Techniques for High Data Rate Mobile Wireless Systems },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 3 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 39-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number3/20135-2226/ },
doi = { 10.5120/20135-2226 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:53:47.854892+05:30
%A Samridhi
%A Jyoteesh Malhotra
%T Investigation of Channel Coding Techniques for High Data Rate Mobile Wireless Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 3
%P 39-45
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

21st century certainly belongs to a new wireless world. Be it voice or data communication, in every walk of life wireless is the call in this era. The need of the present scenario for wireless applications is the enhanced data rate for various applications of communication along with reduction in power requirements. But during message transferal, the data might get corrupted due to impairments of channels, affecting both the needs of data rate as well as power. Reduction of error due to noisy channels becomes critical. Here, channel coding comes out as bliss. These techniques are used for rendering reliable information through the transmission channel to the user. These approaches preserve data while it is being transported through channel. When error occurs, channel coding detects and corrects it and helps the communication systems design to reduce the noise effect during transmission. It is due to endowment of these coding techniques that we are today capable to reach near Shannon limits. The purpose of this paper is to study and analyze the performance and efficiency of different Forward error correcting (FEC) codes. Their improvement in performance is compared to tradeoffs in complexity and decoding lag. It has been observed that though selection of code is dependent on in-hand application but turbo codes outrun other codes in many aspects.

References
  1. Prabhakar Telagarapu, G. B. S. R. Naidu, K. Chiranjeevi (2011). "Analysis of Coding Techniques in WiMAX" International Journal of Computer Applications (0975 – 8887) Volume 22– No. 3, May 2011.
  2. Priyanka Shrivastava, Uday Pratap Singh (2013). "Error Detection and Correction Using Reed Solomon Codes". Volume 3, Issue 8, August 2013 International Journal of Advanced Research in Computer Science and Software Engineering.
  3. M. A. M. El-Bendary, H. Kasban and M. A. R. El-Tokhy(2014). "Interleaved Reed-Solomon Codes With Code Rate Switching over Wireless Communications Channels". 2nd International Conference on Advanced in Computer, Eletrical and Electronics Engineering (ICACEEE 2014) Co-jointed with 2nd International Conference on Computing, E-Learning and Emerging Technologies (ICCEET 2014) - Paris, France on July 8 - 9, 2014.
  4. Nazia Parveen, D. S. Venkateswarlu (2012). "Implementation of Space Time Block Coding using 2transmit and 2receive antennas". International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459, Volume 2, Issue 10, October 2012.
  5. Khushbu Sethi, Vineet Sharma (2013). "Performance Evolution of Different Space Time Block Codes with Linear Receiver". International Journal of Engineering Research and Applications (IJERA) in 2013.
  6. Gunjan Manik, Alka Kalra, Sanjeev Kalra (2012). "Performance Analysis of STBC- OFDM System Under Multipath Fading Channel". International Journal of Soft Computing and Engineering (IJSCE) ISSN:2231-2307, Volume-1, Issue-6, January 2012.
  7. Sanjeev Kumar, Ragini Gupta (2011). "Performance Comparison of Different Forward Error Correction Coding Techniques for Wireless Communication Systems". IJCST Vol. 2, Issue 3, September 2011.
  8. Mr. Vishal G. Jadhao, Prof. Prafulla D. Gawande (2012). "Performance Analysis of Linear Block Code, Convolution code and Concatenated code to Study Their Comparative Effectiveness". IOSR Journal of Electrical and Electronics Engineering (IOSRJEEE) Volume 1, Issue 1 (May-June 2012).
  9. Syed MD. Asif, Abdullah - Al - Maruf, S. M. Anisul Islam, Amitavo Tikader, MD. Abdul Alim. "Comparison of ber between uncoded signal and coded signal (using convolution code) over slow rayleigh fading channel". Journal of Theoretical and Applied Information Technology, Jan 2010.
  10. Bhasker Gupta and Davinder S. Saini (2013). "Performance of Concatenated Optimized Irregular LDPC Code with Alamouti Coded MIMO-OFDM Systems". WSEAS TRANSACTIONS on COMMUNICATIONS Issue 5, Volume 12, May 2013.
  11. Rutuja Shedsale, Nisha Sarwade (2012). "A REVIEW OF CONSTRUCTION METHODS FOR REGULAR LDPC CODES". Indian Journal of Computer Science and Engineering (IJCSE) Vol. 3 No. 2 Apr-May 2012.
  12. Alaa Eldin. S. Hassan, Moawad Dessouky, Atef Abou Elazm and Mona Shokair (2012). "Evaluation of Complexity Versus Performance for Turbo Code and LDPC Under Different Code Rates". SPACOMM 2012: The Fourth International Conference on Advances in Satellite and Space Communications.
  13. Ahmad Hasan Khan, Dr K C Roy (2013). "Comparison of Turbo Codes and Low Density Parity Check Codes". IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) Volume 6, Issue 6 (Jul. - Aug. 2013).
  14. Patel Sneha Bhanubhai, Grace Mary Shajan, Dalal D. Upena (2012). "Performance of Turbo Encoder and Turbo Decoder for LTE" International Journal of Engineering and Innovative Technology (IJEIT) Volume 2, Issue 6.
  15. Nimbalker Ajit, Blankenship Yufei, Classon Brian (2008). "ARP and QPP Interleavers for LTE Turbo Coding" in WCNC.
  16. Jagdish D. Kene and Dr. Kishor D. Kulat (2013). "Iterative Decoding Termination Schemes for Turbo Code Performance Optimization In Mobile Wi-Max Environment". IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 4, No 1, July2013.
Index Terms

Computer Science
Information Sciences

Keywords

Turbo Convolution LDPC RS codes.

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