Pervasive and Mobile Computing
Wireless multihoming modeled as a multi-WLAN game
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Capacity and fairness of an ad hoc IEEE 802.11 cell with sophisticated noncooperative stations
CSNA '07 Proceedings of the IASTED International Conference on Communication Systems, Networks, and Applications
Cognitive radio game for secondary spectrum access problem
IEEE Transactions on Wireless Communications
Ad hoc multi-WLAN: a game-theoretic model of correlated play
WD'09 Proceedings of the 2nd IFIP conference on Wireless days
Distributed resource reservation for beacon based MAC protocols
EUNICE'10 Proceedings of the 16th EUNICE/IFIP WG 6.6 conference on Networked services and applications: engineering, control and management
A channel-change game for multiple interfering cognitive wireless networks
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Spectrum sharing between wireless networks
IEEE/ACM Transactions on Networking (TON)
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Distributed quality of service support in wireless networks that are sharing unlicensed frequency bands is an increasingly significant research problem. The spectral coexistence of dissimilar radio systems has to be addressed in the near future in concerning the widely deployed IEEE 802.11 wireless local area networks and other future radio systems operating in unlicensed or opportunistically used frequency bands. The competition between independent wireless networks for allocating a common shared radio channel is modeled in this article as a stage-based game model: players, representing wireless networks, interact repeatedly in radio resource sharing games, without direct coordination or information exchange. Solution concepts derived from game theory allow the analysis of such models under the microeconomic aspects of welfare. Decisions players repeatedly have to make are about when and how often to attempt medium access. In multistage games the players apply strategies in order to maximize their observed utility as a summarizing value for successfully supported quality of service. Strategies determine whether competing radio networks cooperate or ignore the presence of other radio networks. The traffic requirements of a player thereby decide which strategy is adequate to guarantee quality of service.