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Reseach Article

Design of a Mathematical Model for Spectrum Utilisation in Cognitive Radio

by B. S. Olanrewaju, O. Osunade
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 19
Year of Publication: 2018
Authors: B. S. Olanrewaju, O. Osunade
10.5120/ijca2018916436

B. S. Olanrewaju, O. Osunade . Design of a Mathematical Model for Spectrum Utilisation in Cognitive Radio. International Journal of Computer Applications. 180, 19 ( Feb 2018), 27-32. DOI=10.5120/ijca2018916436

@article{ 10.5120/ijca2018916436,
author = { B. S. Olanrewaju, O. Osunade },
title = { Design of a Mathematical Model for Spectrum Utilisation in Cognitive Radio },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2018 },
volume = { 180 },
number = { 19 },
month = { Feb },
year = { 2018 },
issn = { 0975-8887 },
pages = { 27-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number19/29041-2018916436/ },
doi = { 10.5120/ijca2018916436 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:01:07.667036+05:30
%A B. S. Olanrewaju
%A O. Osunade
%T Design of a Mathematical Model for Spectrum Utilisation in Cognitive Radio
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 19
%P 27-32
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The explosive growth of wireless communication systems and computing devices is being hindered by the scarcity of readily available usable frequency band as most bands are licensed and the unlicensed bands are becoming overcrowded. Research has however, shown that a considerable portion of licensed bands lies idle at some points in time or location. This prompts the development of cognitive radios (CRs) to improve the overall utilisation of the limited spectrum by opportunistically using licensed spectrum. This paper observed that the two approaches of underlay and overlay of spectrum utilisation of CRs are not maximising the potentials of CRs. To further improve spectrum utilisation, a hybrid model of the two approaches is hereby presented. The model uses the principles of match filtering and interference temperature. The design is implemented within the scope of IEEE 802.22 research group which describes the coexistence of cognitive radios with TV bands. This paper therefore, presents a mathematical formalism that allows CRs to utilise the TV band while ensuring a minimum interference to the primary users.

References
  1. Cave, M., Doyle, C., & Webb, W. 2007. Essentials of Modern Spectrum Management. New York: Cambridge University Press.
  2. Steenkiste, P., Sicker, D., Minden, G., & Raychaudhuri, D. 2009. Future Directions in Cognitive Radio Network Research. NSF Workshop Report. Retrieved July 11, 2011, from http://www.cs.cmu.edu/~prs/NSF_CRN_Report_Final.pdf
  3. Peha, J. M. 2008. Sharing Spectrum through Spectrum Policy Reform and Cognitive Radio. In Proceedings of the IEEE special issue on Cognitive Radio.
  4. Danda, B. R. & Gongjun, Y. 2011. Spectrum Sensing Methods and Dynamic Spectrum Sharing in Cognitive Radio Networks: A Survey. International Journal of Research and Reviews in Wireless Sensor Networks. Vol. 1, No. 1.
  5. Patrick, M. 2008. Cognitive Radio: A Survey. University of Waterloo. Retrieved July 13, 2011, from http://www.cst.uwaterloo.ca/DSS/presentations_files/2008_Patrick_Mitran.pdf.
  6. Pasi, L. & Aleksi P. 2009. Survey on Performance Analysis of Cognitive Radio Networks. Retrieved July 13, 2011, from http://www.netlab.tkk.fi/tutkimus/abi/publ/cogsurvey2.pdf
  7. Kimmo, K. 2004. Spectrum Sharing and Flexible Spectrum Use. FUTURA Workshop 16.8.2004. Retrieved Aug. 10, 2011, from http://www.personal.psu.edu/bxg215/spectrum%20sensing.pdf
  8. Australian Communications and Media Authority (ACMA). May, 2011. Towards 2020—Future spectrum requirements for mobile broadband. Retrieved July 13, 2011, from http://www.acma.gov.au/webwr/_assets/main/lib312084/i fc13_2011_toward_2020 future_spectrum_requirements.pdf.
  9. James, O. N. 2006. Analysis and Design of Cognitive Radio Networks and Distributed Radio Resource Management Algorithms. Diss. Electrical Engineering, Virginia Polytechnic Institute and State University.
  10. Yuguchi, K. 2008. Impact of Cognitive Radio Technology on Spectrum Management Policy. International Telecommunications Society, 17th Biennial Conference. Retrieved July 13, 2011, from http://www.canavents.com/its2008/abstracts/184.pdf
  11. Yonghong, Z.,Ying-Chang L., Anh, T. H., & Rui, Z. 2009. A Review on Spectrum Sensing for Cognitive Radio: Challenges and Solutions. European Association for Signal Processing (EURASIP) Journal on Advances in Signal Processing, Volume 2010: Article ID 381465, 15 pages. Hindawi Publishing Corporation. doi:10.1155/2010/381465
  12. Olanrewaju, B.S. & Osunade, O. 2012. Proposed Interference Temperature Model for Improved Spectrum Efficiency in Cognitive Radios. In the proceedings of EIE’s 2ND International Conference on Computing, Energy, Networking, Robotics and Telecommunications, 2012. Pp72-80
  13. Strangio, C. E. 2006. Data Communications Basics- A Brief Introduction to Digital Data Transfer. CAMI Research Inc., Acton, Massachusetts. Retrieve from Retrieved July 2, 2011, from http://www.camiresearch.com/Data_Com_Basics/data_com_tutorial.html
  14. Williams, B.K., & Sawyer, S.C. 2003. Using Information Technology: A Practical Introduction to Computers & Communications. New York: McGraw-Hill/Irwin.
  15. Gans, J. S., Stephen, P. K. & Wright, J. 2005. Wireless Communications. Handbook of Telecommunications Economics, Volume 2. Retrieved Aug. 22, 2011 from http://profile.nus.edu.sg/fass/ecsjkdw/WirelessCommunications_Final.pdf.
  16. Goldsmith, A. 2005. Wireless Communications. Cambridge University Press. Retrieved Aug. 22, 2011, from http://wsl.stanford.edu/~andrea/Wireless/SampleChapters.pdf
  17. Peha, J. M. 2007. Emerging Technology and Spectrum Policy Reform. International Telecommunications Union (ITU) Workshop on Market Mechanisms for Spectrum Management, ITU Headquarters, Geneva, January 2007.
  18. Xing, Y., Chandramouli, R., Mangold, S., & Sai, S. N. 2006. Dynamic Spectrum Access in Open Spectrum Wireless Networks. IEEE Journal on Selected Areas in Communications, Vol.24, No.3, March 2006. pp 626- 637
  19. Clancy, T.C. 2007. Formalizing the Interference Temperature Model. Wiley Jjournal on Wireless Communications and Mobile Computing. Retrieved July 18, 2011, from http://onlinelibrary.wiley.com/doi/10.1002/wcm.482/ pdf.
  20. Clancy, T.C. 2006. Dynamic Spectrum Access in Cognitive Radio Networks. Diss. Faculty of the Graduate School of the University of Maryland . ix + 106. Retrieved July 11, 2011, from http://www.cs.umd.edu/~jkatz/THESES/clancy.pdf.
  21. Narayan B. M. 2008. Cognitive Radio Networks. Princeton ACM / IEEE-CS Chapters. January 2008 Joint Meeting. Retrieved July 13, 2011, from http://princetonacm.acm.org/meetings/mtg0801.pdf
  22. Akyildiz, I. F., Won-Yeol, L., Vuran, M. C., & Mohanty, S. 2008. A Survey on Spectrum Management in Cognitive Radio Networks. IEEE Communications Magazine Cognitive Radio Communications and Networks April 2008: Pp 40 – 48.
  23. Wang, L. & Wang C. 2010. Spectrum Management Techniques with QoS Provisioning in Cognitive Radio Networks. In Proceedings of IJCSIS Journal of Computer Science September 2010.
  24. Proakis, J. G. 2000. Digital Communications, 4th ed. Boston, MA: McGraw Hill.
  25. Mansi, S. & Gajanan, B. 2011. Spectrum Sensing Techniques in Cognitive Radio Networks: A Survey. International Journal of Next-Generation Networks (IJNGN) Vol.3, No.2, June 2011
  26. Clancy, T.C. and Arbaugh W.A. 2007. Measuring Interference Temperature. Retrieved July 18, 2011, from citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1 45.5368.
  27. SENDORA. 2010. Test Report on Sensing Algorithm Implementation. Retrieved Aug. 10, 2011, from http://www.sendora.eu/system/files/SENDORA_D3.2_version1.1_part1.pdf
  28. Cordeiro, C., Challapali, K. and Birru, D. 2006. IEEE 802.22: An Introduction to the First Wireless Standard based on Cognitive Radios. Journal of Communications, Vol. 1, No. 1, April 2006
  29. Cabric, D., Mishra, S.M., and Brodersen, R.M. 2004. Implementation Issues in Spectrum Sensing for Cognitive Radios. Berkeley Wireless Research Center, University of California, Berkeley. Retrieved May 17, 2012, from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.110.2154&rep=rep1&type=pdf
  30. Wild, B. and Ramchandran, K. Detecting Primary Receivers for Cognitive Radio Applications. 1st IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. Baltimore, 8-11 November 2005, pp.124-130. http://www.eecs.berkeley.edu/~dtse/3r_ben_dyspan05.pdf
Index Terms

Computer Science
Information Sciences

Keywords

Wireless communication dynamic spectrum management cognitive radio IEEE 802.22.