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Utilizing TV Frequency Bands using Coalitional Game Theory according to the Standard of IEEE 802.22

by A. I. A. Jabbar, Emad A. Mohammed
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 85 - Number 6
Year of Publication: 2014
Authors: A. I. A. Jabbar, Emad A. Mohammed
10.5120/14844-3089

A. I. A. Jabbar, Emad A. Mohammed . Utilizing TV Frequency Bands using Coalitional Game Theory according to the Standard of IEEE 802.22. International Journal of Computer Applications. 85, 6 ( January 2014), 10-16. DOI=10.5120/14844-3089

@article{ 10.5120/14844-3089,
author = { A. I. A. Jabbar, Emad A. Mohammed },
title = { Utilizing TV Frequency Bands using Coalitional Game Theory according to the Standard of IEEE 802.22 },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 85 },
number = { 6 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 10-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume85/number6/14844-3089/ },
doi = { 10.5120/14844-3089 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:02:59.016720+05:30
%A A. I. A. Jabbar
%A Emad A. Mohammed
%T Utilizing TV Frequency Bands using Coalitional Game Theory according to the Standard of IEEE 802.22
%J International Journal of Computer Applications
%@ 0975-8887
%V 85
%N 6
%P 10-16
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a cooperative spectrum sensing system based on IEEE 802. 22 standard is proposed and modeled as cooperative game theory scheme. The proposed method considers each secondary user as a single sensing terminal that implies energy detection as spectrum sensing method with different signal to noise ratios (SNR's) to estimate the existence of TV stations. The final decision of TV stations existence is made by fusion center after receiving each secondary user decision. The secondary users will form coalitions to make the final decision of the fusion more accurate. The cooperative game theory that proposed in this paper is based on AND, OR and majority rule for coalitions.

References
  1. Lu Lu, Xiangwei Zhou, Uzoma Onunkwo and Geoffrey Ye Li "Ten years of research in spectrum sensing and sharing in cognitive radio" EURASIP Journal on Wireless Communications and Networking 2012.
  2. Liljana Gavrilovska • Vladimir Atanasovski, "Spectrum Sensing Framework for Cognitive Radio Networks" Wireless Pers Commun (2011) 59:447–469.
  3. Mayank Mittal, and Jaikaran Singh and Mukesh Tiwari " Modelling and Performance Evaluation of Physical Layer of Wireless, Regional Area Networks (IEEE 802. 22) over AWGN Channel" International Journal of Electrical, Electronics and Computer Engineering 1(1): 15-18(2012)
  4. Vinod Sharma and ArunKumar Jayaprakasam "An Efficient Algorithm for Cooperative Spectrum Sensing in Cognitive Radio Networks" arXiv: 0809. 2931 [cs. IT],17 September 2008.
  5. Beibei Wang*, Yongle Wu, K. J. Ray Liu " Game theory for cognitive radio networks: An overview" ELISVIER, Computer Networks, Volume 54, Issue 14, 6 October 2010, Pages 2537–2561.
  6. Hyoil Kim and Kang G. Shin " In-band Spectrum Sensing in Cognitive Radio Networks:Energy Detection or Feature Detection?" San Francisco, California, USA, MobiCom'08, September 14–19, 2008.
  7. Abubakar U. Makarfi and Khairi A. Hamdi " Efficiency of Energy Detection for Spectrum Sensing in the Presence of Non-Cooperating Secondary Users" IEEE, Global Communications Conference (GLOBECOM), 2012.
  8. Amira Ben Jemaa, Monia Turki and Wael Guib`ene '' Enhanced Energy Detector Via Algebraic Approach for Spectrum Sensing in Cognitive Radio Networks" 7th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2012.
  9. Li Yan, Yang Zhen " Collaborative Spectrum Sensing using Coalitional Games in Cognitive Radio Networks" In proceeding of: Computer Science and Information Technology (ICCSIT), 3rd IEEE International Conference on, Volume: 3. 2010.
  10. Vivek Srivastava, James Neel, Allen B "Using Game Theory To Analyze Wireless Ad hoc Network" IEEE communications, volume 7, no. 4. 2005.
  11. Sabita Maharjan, Chau Yuen, Yong Huat Chew, Yan Zhang and Stein Gjessing "Distributed Spectrum Sensing for Cognitive Radio Networks with Heterogeneous Traffic" 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL), 2010.
  12. Walid Saad, Zhu Han, M´erouane Debbah, Are Hjorungnes and Tamer Basar "Coalitional Game Theory for Communication Networks: A Tutorial" arXiv:0905. 4057 vl [cs IT], 25 may 2009.
  13. Juan E. Suris, Luiz A. DaSilva, Zhu Han, Allen B. MacKenzie, and Ramakant S. Komali " Asymptotic Optimality for Distributed Spectrum Sharing using Bargaining Solutions" IEEE transaction on wireless communications, Vol. 8, no. 10, October 2009.
  14. Hans Peters " Game Theory A Multi-Leveled Approach" Springers, 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio spectrum sensing WRAN TV band IEEE 802. 22 game theory

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