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A game theory approach for self-coexistence analysis among IEEE 802.22 networks

Huang, Dong and Miao, Chunyan and Miao, Yuan and Shen, Zhiqi (2009) A game theory approach for self-coexistence analysis among IEEE 802.22 networks. In: ICICS 2009 : conference proceedings of the Seventh International Conference on Information, Communications & Signal Processing : 8-10 December 2009, Macau Fisherman's Wharf, Macau. IEEE, Piscataway, N.J..

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Abstract

The cognitive radio (CR) based IEEE 802.22 is a standard for wireless regional area networks (WRANs), which is allowed to utilize TV bands when no interference is present to incumbents (i.e. TV receivers and microphones). Compared to other existing networks, it has larger coverage range and provides broadband access in rural and remote areas with performance comparable to DSL and cable modems. It is a promising networks for future wireless communications. When multiple networks deployed by different wireless service providers overlay each other in the same area, they would have to compete to access available TV channels. When more than one WRANs accesses the same channel, the interference occurs. This will cause some given quality of service (QoS) requirements to be unsatisfied. Appropriate strategy such that finding an available channel with minimum cost is needed. In this paper, we formulate the problem as a noncooperative game and establish the Nash equilibrium. Both theoretical and experimental analysis are conducted and demonstrate that the proposed strategy can find an available channel with smaller cost than that of other strategies.

Item Type: Book Section
ISBN: 9781424446568 (print), 9781424446575 (online)
Uncontrolled Keywords: ResPubID18611, cognitive radio, game theory, quality of service, wireless LAN, Nash equilibrium, WRAN, cognitive radio, quality of service, self-coexistence analysis, wireless communications, wireless regional area networks, cognitive radio, self-coexistence, cable TV, chromium, microphones, tv interference, television, tv receivers
Subjects: FOR Classification > 1005 Communications Technologies
SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Faculty/School/Research Centre/Department > School of Engineering and Science
Depositing User: VUIR
Date Deposited: 27 Jun 2013 05:05
Last Modified: 27 Jun 2013 05:05
URI: http://vuir.vu.edu.au/id/eprint/5772
DOI: 10.1109/ICICS.2009.5397619
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Citations in Scopus: 0 - View on Scopus

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