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DOI: 10.14569/IJACSA.2013.040305
PDF

Transmission Control for Fast Recovery of Rateless Codes

Author 1: Jau-Wu Huang
Author 2: Kai-Chao Yang
Author 3: Han-Yu Hsieh
Author 4: Jia-Shung Wang

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 3, 2013.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Luby Transform (LT) codes are more important in communication applications due to the characteristics of fast encoding/decoding process, and low complexity. However, LT codes are optimal only when the number of input symbols is close to infinity. Some researches modified the degree distribution of LT codes to make LT codes suitable for short symbol length. In this article, we propose an optimal coding algorithm to recover all of the encoded symbols for LT codes quickly. The proposed algorithm observes the coding status of each client and increases the coding performance by changing the transmission sequence of low-degree and high-degree encoding packets. Simulation results show that the resulting decoding overhead of our algorithm are lower than the traditional LT codes, and our algorithm is very appropriate to server various clients in the broadcasting channel environment.

Keywords: LT codes; broadcasting channel; degree distribution

Jau-Wu Huang, Kai-Chao Yang, Han-Yu Hsieh and Jia-Shung Wang, “Transmission Control for Fast Recovery of Rateless Codes” International Journal of Advanced Computer Science and Applications(IJACSA), 4(3), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040305

@article{Huang2013,
title = {Transmission Control for Fast Recovery of Rateless Codes},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040305},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040305},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {3},
author = {Jau-Wu Huang and Kai-Chao Yang and Han-Yu Hsieh and Jia-Shung Wang}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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