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Application of Fountain Codes to Cognitive Radio Networks and MBMS – A Review

by K. V. Goenka, R. D. Raut
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 14
Year of Publication: 2013
Authors: K. V. Goenka, R. D. Raut
10.5120/11154-6256

K. V. Goenka, R. D. Raut . Application of Fountain Codes to Cognitive Radio Networks and MBMS – A Review. International Journal of Computer Applications. 66, 14 ( March 2013), 28-30. DOI=10.5120/11154-6256

@article{ 10.5120/11154-6256,
author = { K. V. Goenka, R. D. Raut },
title = { Application of Fountain Codes to Cognitive Radio Networks and MBMS – A Review },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 14 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 28-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number14/11154-6256/ },
doi = { 10.5120/11154-6256 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:22:23.919902+05:30
%A K. V. Goenka
%A R. D. Raut
%T Application of Fountain Codes to Cognitive Radio Networks and MBMS – A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 14
%P 28-30
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The inefficient usage of limited radio spectrum resources with its increased demand has opened the doors for an innovative communication technology. The recently proposed concept of cognitive radio network can use the licensed bands of primary users for its data transmission without causing interference to them. The LT (Luby Transform) code and Raptor code, types of Fountain codes (class of erasure correcting codes) seems a promising approach to enhance the performance of wireless multimedia services. Since, the bandwidth usage is minimized with the use of Fountain code; it seems to be optimal to use it for cognitive networks. The paper discusses the work which has applied LT and Raptor coding for MBMS (Multimedia Broadcast/ Multimedia Services) and cognitive networks and proposes a solution to further enhance the performance of cognitive radio networks.

References
  1. Beibei Wang, K. J. Ray Liu 2011 "Advances in Radio Cognitive Networks: A Survey", IEEE Journal of selected topics in Signal Processing, Vol. 5, No. 1.
  2. M. Luby, M. Watson, T. Gasiba, T. Stockhammer, W. Xu 2006 "Raptor Codes for Reliable Download Delivery in Wireless Broadcast Systems", IEEE Communication Society, pp. 192-197.
  3. A. Asareh, T. Fujii 2012 "A Novel Reliable Broadcasting Scheme under Cognitive Radio Environment Based on Erasure Correctable Codes", in Proc. IEEE Workshop on Computing, Networking and Communication, pp. 251-267.
  4. H. Kushwaha, Y. Xing, R. Chandramouli, H. Heffes 2008 "Reliable Multimedia Transmission Over Cognitive Radio Networks Using Fountain Codes", in Proc. IEEE, Vol. 96, No. 1. , pp. 155-165.
  5. C. Bouras, N. Kanakis, V. Kokkinos, A. Papazois 2012 "Enhancing Reliable Mobile Multicasting with RaptorQ FEC" , IEEE, pp. 082-087.
  6. C. Wu, B. Li 2005 "rStream: Resilient Peer-to-Peer Streaming with Rateless Codes, ACM.
  7. Jeff Castura, Yongyi Mao 2006 "Rateless Coding over Fading Channels", IEEE Commun. Lett. , vol. 10, no. 1, pp. 46-48.
  8. R. Palanki, J. S. Yedidia 2004 "Rateless codes on noisy channels", in Proc. IEEE Int. Symp. On Inform. Theory, pp. 38.
  9. J. Wagner, J. Chakareshi, P. Frossard 2006 "Streaming of Scalable Video from Multiple Servers Using Rateless Codes", IEEE, pp. 1501-1504.
  10. R. D. Raut, K. D. Kulat 2009 "Software Defined Adaptive Codec for Cognitive Radio", WESAS Trans. On Comm. , vol. 8, pp. 1243-1249.
  11. R. D. Raut, K. D. Kulat 2010 "Application Specific Optimal Codec in Cognitive Environment", Int. J. of Computer Applications, vol. 1, 52-58.
  12. R. D. Raut, K. D. Kulat 2010 "Spectrum Sensing Smart Codec Design for Cognitive Radio", Proc. of WSEAS Int. Conference on System Science and Simulation in Engg. , pp. 282- 286.
  13. R. D. Raut, K. D. Kulat 2011"SDR Design with Advanced Algorithms for Cognitive Radio", Int. J. of Advanced Computer Science, Vol. 1, No. 4, pp. 134-14.
  14. J. Castura, Y. Mao, S. Draper 2006 "On Rateless Coding over Fading Channels with Delay Constraints", IEEE, pp. 1124- 1128.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio Fountain codes LT (Luby Transform) code Raptor code

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