Call for Paper - Upcoming Issues

Segmentation Based Matrix Code for Communication Channel

International Journal of Electronics and Communication Engineering
© 2016 by SSRG - IJECE Journal
Volume 3 Issue 11
Year of Publication : 2016
Authors : Mohana .R and Dr.Arangasamy.R
10.14445/23488549/IJECE-V3I11P110
pdf
How to Cite?

Mohana .R and Dr.Arangasamy.R, "Segmentation Based Matrix Code for Communication Channel," SSRG International Journal of Electronics and Communication Engineering, vol. 3,  no. 11, pp. 1-2, 2016. Crossref, https://doi.org/10.14445/23488549/IJECE-V3I11P110

Abstract:

The problem of simultaneously broadcasting a common source to multiple receivers over a broadcast channel remains a challenging open problem in network information theory Each receiver is required to partially reconstruct the source sequence by decoding a certain fraction of the source symbols. Our scheme involves splitting the source sequence into multiple segments and applying a systematic erasure code to each such segment. In this project, novel decimal matrix code (DMC) based on divide-symbol is proposed to enhance data reliability with lower delay overhead. The proposed DMC utilizes decimal algorithm to obtain the maximum error detection capability of communication.

Keywords:

The proposed DMC utilizes decimal algorithm to obtain the maximum error detection capability of communication.

References:

[1] L. Tan, Y. Li, A. Khisti, and E. Soljanin, “Source broadcasting over erasure channels: Distortion bounds and code design,” in Proc. IEEE Information Theory Workshop (ITW), Seville, Spain, Aug. 2013.
[2] Y. Li, L. Tan, A. Khisti, and E. Soljanin, “Successive segmentation based coding for broadcasting over erasure channels,” in Proc. IEEE International Symposium on Information Theory, Honolulu, Hawaii, Jun. 2014.
[3] M. A. Shokrollahi and M. Luby, “Raptor codes,” Foundations and Trends in Communications and Information Theory, vol. 6, no. 3-4, 2009.
[4] V. Goyal, “Multiple description coding: compression meets the network,” Signal Processing Magazine, IEEE, vol. 18, no. 5, pp. 74–93, Sep 2001.
[5] Y. Wang, A. Reibman, and S. Lin, “Multiple description coding for video delivery,” Proceedings of the IEEE, vol. 93, no. 1, pp. 57–70, Jan 2005.
[6] F. H. P. Fitzek, B. Can, R. Prasad, and M. Katz, “Overhead and quality measurements for multiple description coding for video services,” in Wireless Personal Multimedia Communications (WPMC, 2004, pp. 524– 528.