Abstract
The latest mobile communication devices are usually equipped with multiple network interfaces with the capability of accessing multiple types of wireless networks. Since each network has limited capacity, a network may experience congestion if too many mobile devices access this network. To avoid congestion, an intelligent distributed network selection scheme is needed for each mobile device. In this paper, we propose a game theoretic approach to the problem of network selection. Specifically, we formulate the problem as a repeated stochastic game with a goal of maximizing total utility while achieving high proportional fairness among all users in the service area. To solve this problem, we develop a Lyapunov optimization algorithm to obtain the optimal action for each user from the game manager perspective. Simulation results show that our proposed approach can achieve much higher utility than existing schemes while maintaining good fairness index.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.