ICITR - 2016

Browse

Now showing 1 - 1 of 1

item: Conference-Full-text
Joint access-point and channel selection method using markov approximation
(Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa, Sri Lanka, 2016-12) Kimura, T; Hirata, K; Muraguchi, M; Fernando, KSD
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.