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Game theoretical formulation of network selection in competing wireless networks: an analytic hierarchy process model

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published
Publication date15/09/2009
Host publicationNext Generation Mobile Applications, Services and Technologies, 2009. NGMAST '09. Third International Conference on
PublisherIEEE
Pages292-297
Number of pages6
ISBN (Print)9780769537863
Original languageEnglish
EventNext Generation Mobile Applications, Services and Technologies, 2009. NGMAST '09. Third International Conference on - Cardiff, United Kingdom
Duration: 15/09/200918/09/2009

Conference

ConferenceNext Generation Mobile Applications, Services and Technologies, 2009. NGMAST '09. Third International Conference on
CountryUnited Kingdom
CityCardiff
Period15/09/0918/09/09

Conference

ConferenceNext Generation Mobile Applications, Services and Technologies, 2009. NGMAST '09. Third International Conference on
CountryUnited Kingdom
CityCardiff
Period15/09/0918/09/09

Abstract

Network Selection mechanisms play an important role in ensuring quality of service for users in a multi-network environment. These mechanisms handle the selection of an optimal wireless network to satisfy a user request. This paper proposes a radio resource management framework for integrated network selection mechanism control in multi- network environment as an interaction game between the service providers and customers in non-cooperative manner to maximize their rewards. The proposed scheme comprises two steps. The first applies the analytic hierarchy process (AHP) to determine the relative weights of the evaluative criteria according to customer preferences and network condition. The second calculates the payoffs based on the relative weights calculated in the previous step and a utility function evaluation by each wireless network of each customer. Analytical and simulation results demonstrate the effectiveness of proposed model to achieve optimum network utility for the wireless networks along with optimizing the customer's satisfaction. The proposed model is preliminary and its contribution is to create an admission policy that can adapt to different coverage areas of a wireless network and depends on the priority of customers and their requirements.