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Joint access-point and channel selection method using markov approximation

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dc.contributor.author Kimura, T
dc.contributor.author Hirata, K
dc.contributor.author Muraguchi, M
dc.contributor.editor Fernando, KSD
dc.date.accessioned 2022-11-29T08:26:12Z
dc.date.available 2022-11-29T08:26:12Z
dc.date.issued 2016-12
dc.identifier.citation ****** en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19618
dc.description.abstract In recent years, access-points have been densely placed at public spaces. Users can each select an access-point from among such access-points so as to enhance communication quality. Access-point selection methods have thus become an important technical issue. This paper proposes a joint accesspoint and channel selection method using Markov approximation, which adapt to dynamic changes in network conditions. Markov approximation is a distributed optimization framework, where a network is optimized by individual behavior of users forming a time-reversible continuous-time Markov chain. Our method provides an optimal access-point and channel selection strategy according to a time-reversible continuous-time Markov chain, aiming at maximizing the total throughput of users. Simulation experiments demonstrate the effectiveness of the proposed method. en_US
dc.language.iso en en_US
dc.publisher Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa, Sri Lanka en_US
dc.title Joint access-point and channel selection method using markov approximation en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.identifier.year 2016 en_US
dc.identifier.conference International Conference on Information Technology Research 2016 en_US
dc.identifier.place Moratuwa. Sri Lanka en_US
dc.identifier.pgnos pp. 18-23 en_US
dc.identifier.proceeding Proceedings of the International Conference in Information Technology Research 2016 en_US
dc.identifier.email kimura@ee.kagu.tus.ac.jp en_US
dc.identifier.email murag@ee.kagu.tus.ac.jp en_US
dc.identifier.email hirata@kansai-u.ac.jp en_US


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  • ICITR - 2016 [10]
    International Conference on Information Technology Research (ICITR)

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