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Reseach Article

Performance Analysis of Spectrum Sharing based on Bayesian Spectrum Sensing in Cognitive Radio Networks

by Priyesh Roushan, Rupesh Kumar Jha, Piyush Chawla
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 166 - Number 6
Year of Publication: 2017
Authors: Priyesh Roushan, Rupesh Kumar Jha, Piyush Chawla
10.5120/ijca2017914045

Priyesh Roushan, Rupesh Kumar Jha, Piyush Chawla . Performance Analysis of Spectrum Sharing based on Bayesian Spectrum Sensing in Cognitive Radio Networks. International Journal of Computer Applications. 166, 6 ( May 2017), 22-27. DOI=10.5120/ijca2017914045

@article{ 10.5120/ijca2017914045,
author = { Priyesh Roushan, Rupesh Kumar Jha, Piyush Chawla },
title = { Performance Analysis of Spectrum Sharing based on Bayesian Spectrum Sensing in Cognitive Radio Networks },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 166 },
number = { 6 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 22-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume166/number6/27675-2017914045/ },
doi = { 10.5120/ijca2017914045 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:13:00.414927+05:30
%A Priyesh Roushan
%A Rupesh Kumar Jha
%A Piyush Chawla
%T Performance Analysis of Spectrum Sharing based on Bayesian Spectrum Sensing in Cognitive Radio Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 166
%N 6
%P 22-27
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper addresses the comparison of spectrum sensing methods between the ARQ Retransmission technique in the context of cognitive radio with the standard detection method using Bayesian approach and drawing the inferences using the results. Two different types of spectrum sharing are taken namely conservative and aggressive and compared with legacy, Bayesian approaches. And two of them do not introduce any breakdown to the primary users who are using the spectrum and the main difference between them is that conservative does not interrupt the primary operations and whenever primary needs spectrum it will provide, but in aggressive, sometimes it may not allow the spectrum to primary user until the secondary user releases the spectrum which decreases the throughput of primary. The results have been obtained and inferences are taken.

References
  1. “Spectrum policy task force,” Federal Communications Commission (FCC), ET Docket No. 02-135, Tech. Rep., Nov. 2002.
  2. M. Gastpar, “On capacity under receive and spatial spectrum-sharing constraints,” IEEE Trans. Inf. Theory, vol. 53, no. 2, pp. 471–487, Feb. 2007.
  3. A. Ghasemi and E. S. Sousa, “Fundamental limits of spectrum-sharing in fading environments,” IEEE Trans. Wireless Commun., vol. 6, no. 2, pp. 649–658, Feb. 2007.
  4. K. B. Letaief and W. Zhang, “Cooperative communications for cognitive radio networks,” Proc. IEEE, vol. 97, no. 5, pp. 878–893, May2009.
  5. Q. Zhang, J. Jia, and J. Zhang, “Cooperative relay to improve diversity in cognitive radio networks,” IEEE Commun. Mag., vol. 47, no. 2, pp. 111–117, Feb. 2009.
  6. S. Srinivasa and S. A. Jafar, “The throughput potential of cognitive radio: a theoretical perspective,” IEEE Commun. Mag., vol. 45, no. 5, pp. 73–79, May 2007.
  7. A. Goldsmith, S. A. Jafar, I. Maric, and S. Srinivasa, “Breaking spectrum gridlock with cognitive radios: an information theoretic perspective,” Proc. IEEE, vol. 97, no. 5, pp. 894–914, May 2009.
  8. K. Eswaran, M. Gastpar, and K. Ramchandran, “Bits through ARQs:spectrum sharing with a primary packet system,” in Proc. 2007 IEEE Int. Symp. on Information Theory, pp. 2171–2175.
  9. M. Levorato, U. Mitra, and M. Zorzi, “Cognitive interference management in retransmission-based wireless networks,” in Proc. 2009 Allerton Conf. on Commun. Control and Computing, pp. 94–101.
  10. R. Zhang, “On active learning and supervised transmission of spectrum sharing based cognitive radios by exploiting hidden primary radio feedback,” in Proc. 2009 IEEE Global Commun. Conf., pp. 1–5.
  11. R. A. Tannious and A. Nosratinia, “Cognitive radio protocols based on exploiting hybrid ARQ retransmissions,” IEEE Trans. Wireless Com-mun., vol. 9, no. 9, pp. 2833–2841, Sep. 2010.
  12. James C. F. Li, Wei Zhang, Aria Nosratinia,” SHARP: Spectrum Harvesting with ARQ Retransmission and Probing in Cognitive Radio” IEEE transactions on communications, vol. 61, no. 3, march 2013.
  13. Ahmet Gokceoglu , Robert Piché, and Mikko Valkama1 “Bayesian Approach to Spectrum Sensing for Cognitive Radio Applications” CROWNCOM 2012, June 18-20, Stockholm, Sweden.
Index Terms

Computer Science
Information Sciences

Keywords

ARQ Bayesian conservative Aggressive spectrum sharing spectrum sensing.