CFP last date
20 January 2025
Reseach Article

Improving Spectrum Efficiency by Cognitive Radio Network using Co-Operative Method

by S. Sujatha, G. Bhavani, K. Rajasekar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 15
Year of Publication: 2013
Authors: S. Sujatha, G. Bhavani, K. Rajasekar
10.5120/11162-6283

S. Sujatha, G. Bhavani, K. Rajasekar . Improving Spectrum Efficiency by Cognitive Radio Network using Co-Operative Method. International Journal of Computer Applications. 66, 15 ( March 2013), 29-32. DOI=10.5120/11162-6283

@article{ 10.5120/11162-6283,
author = { S. Sujatha, G. Bhavani, K. Rajasekar },
title = { Improving Spectrum Efficiency by Cognitive Radio Network using Co-Operative Method },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 15 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 29-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number15/11162-6283/ },
doi = { 10.5120/11162-6283 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:23:03.823204+05:30
%A S. Sujatha
%A G. Bhavani
%A K. Rajasekar
%T Improving Spectrum Efficiency by Cognitive Radio Network using Co-Operative Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 15
%P 29-32
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recent studies show that the fixed spectrum assignment policy enforced today results in poor spectrum utilization. To address this problem, the concept of cognitive radio is proposed to address the issue of spectrum efficiency and has been receiving an increasing attention in recent years, since it equips wireless users the capability to optimally adapt their operating parameters according to their interactions with the surrounding radio environment. Cognitive radio is widely regarded as one of the most promising technologies for future wireless communications as it addresses the spectrum scarcity problem that is encountered in many countries. It is done by allowing unlicensed (secondary) users to coexist with the licensed (primary) users under the condition of protecting the latter from harmful interference. The cooperation performance of a primary user and a secondary user is evaluated by the switched based scheduling scheme and the throughput maximization is analyzed via simulations for both the frameworks of active, inactive Primary User (PU) and Secondary User (SU).

References
  1. FCC, "Spectrum policy task force," ET Docket 02-135, Nov. 2002.
  2. J. Wang, M. Ghosh, and K. Challapali, "Emerging Cognitive Radio Applications: A Survey," IEEE Commun. Mag. , vol. 49, no. 3, Mar. 2011, pp. 74–81.
  3. B. Wang, and K. Liu, "Advances in Cognitive Radio Networks: A Survey," IEEE J. Sel. Top. Sig. Proc. , vol. 5, no. 1, Feb. 2011, pp. 5–23.
  4. O. Simeone et al. , "Spectrum Leasing to Cooperating Secondary Ad Hoc Networks," IEEE JSAC, vol. 26, no. 1, Jan. 2008, pp. 203–13.
  5. S. Hua et al. , "Exploiting MIMO Antennas in Cooperative Cognitive Radio Networks," Proc. INFOCOM, Shanghai, China, Apr. 2011.
  6. B. Cao et al. , "Cooperative Cognitive Radio Networking Using Quadrature Signaling," to appear in Proc. INFOCOM, Orlando, FL. , Apr. 2012.
  7. S. Sodagari, A. Attar, and S. Bilén, "On a Truthful Mechanism for Expiring Spectrum Sharing in Cognitive Radio Networks," IEEE JSAC, vol. 29, no. 4, Apr. 2011, pp. 856–65.
  8. M. Al-Ayyoub, and H. Gupta, "Truthful Spectrum Auctions with Approximate Revenue," Proc. IEEE INFOCOM, Shanghai, China, Apr. 2011.
  9. K. Ben Lataief, and W. Zhang, "Cooperative Communications for Cognitive Radio Networks," Proc. IEEE, vol. 97, no. 5, May. 2009, pp. 878–93.
  10. D. Cabric,S. M. Misha and R. W. Broderson, "Implementation issues in spectrum sensing for cognitive radios", in Proc. Asilomar Conf. on signals, systems and computers, Nov. 2009,vol. 1,pp772-776
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio Dynamic Spectrum Access Spectrum Efficiency switched based scheduling Wireless Communications