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Delay Minimization using Cognitive Radio from Spectrum Management Perspective

Published on March 2012 by Dipak P.Patil, Vijay M.Wadhai
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International Conference in Computational Intelligence
Foundation of Computer Science USA
ICCIA - Number 9
March 2012
Authors: Dipak P.Patil, Vijay M.Wadhai
94ef98fe-2d6f-49cd-b260-9b20b3e7c92b

Dipak P.Patil, Vijay M.Wadhai . Delay Minimization using Cognitive Radio from Spectrum Management Perspective. International Conference in Computational Intelligence. ICCIA, 9 (March 2012), 6-9.

@article{
author = { Dipak P.Patil, Vijay M.Wadhai },
title = { Delay Minimization using Cognitive Radio from Spectrum Management Perspective },
journal = { International Conference in Computational Intelligence },
issue_date = { March 2012 },
volume = { ICCIA },
number = { 9 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 6-9 },
numpages = 4,
url = { /proceedings/iccia/number9/5159-1071/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference in Computational Intelligence
%A Dipak P.Patil
%A Vijay M.Wadhai
%T Delay Minimization using Cognitive Radio from Spectrum Management Perspective
%J International Conference in Computational Intelligence
%@ 0975-8887
%V ICCIA
%N 9
%P 6-9
%D 2012
%I International Journal of Computer Applications
Abstract

Cognitive radio (CR) technology is accepted as the most efficient method to improve the spectrum efficiency, which utilizes the available spectrum opportunistically in wireless communication networks. CR acts as a secondary (unlicensed) user to access the primary (licensed) user frequency bands when they are not being used, and release the frequency bands when the primary users are detected. In this paper we propose the system for efficient and flexible spectrum access and utilization amongst the secondary users. The proposed system is implemented by developing fast and efficient algorithm using CR concept. The experimental results have addressed the issues discussed in the proposed system. We optimized the switch delay between the nodes and improved the packet transmission amongst the nodes.

References
  1. Report of the spectrum efficiency group,” FCC Spectrum Policy Task Force, Report, November 2002.
  2. FCC, ET Docket No 03-222 Notice of proposed rule making and order, December 2003.
  3. P.Kolodzy, “Spectrum Policy Task Force: Findings and Recommendations”in International Symposium on Advanced Radio Technologies(ISART), March 2003.
  4. J. Mitola and G. Q. Maguire, Cognitive Radio: Making Software Radios More Personal," IEEE Personal Communications, vol. 6, pp. 13{18, Aug. 1999.
  5. J. Mitola, \Cognitive radio: An integrated agent architecture for software dened radio," Ph.D. dissertation, KTH, Royal Institute of Technology,Sweden, 2000.
  6. I. F. Akyildiz et al.,”NeXt Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey”, Comp.Networks J., vol. 50, Sept. 2006, p.2127-59.
  7. E. Hossain, D. Niyato, Z. Han, Dynamic spectrum access and management in cognitive radio networks, in: Dynamic Spectrum Access and Management in Cognitive Radio Networks, Cambridge University Press, 2009, pp. 305–337.
  8. A survey of dynamic spectrum access: [Signal processing, networking, and regulatory policy], IEEE SIGNAL PROCESSING MAGAZINE, MAY 2007.
  9. Haykin S: ’Cognitive Radio: Brain-Empowered Wireless Communications’,IEEE Journal on Selected Areas in Communications,23, No 2 (February 2005).
  10. Ian F. Akyildiz, Won-Yeol Lee, Mehmet C. Vuran, and Shantidev Mohanty,“A Survey on Spectrum Management in Cognitive Radio Networks”, IEEE Communications Magazine, April 2008.
  11. Hüseyin Arslan , “Cognitive Radio, Software Defined Radio, And Adaptive Wireless Systems”, 2007 Springer.
  12. R. V. Prasad et al, “Cognitive Functionality in Next Generation Wireless Networks: Standardization Efforts," IEEE Communications Magazine, vol. 46, Apr. 2008.
  13. K. Sridhara, Ashok Chandra, P. S. M. Tripathi, ”Spectrum Challenges and Solutions by Cognitive Radio: An Overview”, Wireless Pers Commun (2008) 45:281-291 DOI 0.1007/s11277-008-9465- 6.
  14. Bruce A. Fette, “Cognitive Radio Technology”, 2006, Elsevier Inc.
  15. Linda Doyle, “Essentials of Cognitive Radio”, CAMBRIDGE UNIVERSITY PRESS, First edition 2009.
  16. DipakP.Patil, Vijay M.Wadhai,” Dynamic Spectrum Management Techniques Using Cognitive Radio:Issues and Proposed syaytem” JOURNAL OF COMPUTING, VOLUME 3, ISSUE 2, February 2011, ISSN 2151-9617.
  17. Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli, ”Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio,” IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 2, FEBRUARY 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio Dynamic spectrum access spectrum allocation