Access Point selection game for mobile wireless users

Selecting a Access Point (AP) is an important task for a mobile wireless user to achieve the best possible quality of service. We consider AP selection as a game where players make choices selfishly and try to select the closest AP based on Minimum Path-Loss (MPL) criteria. We formulate the AP selection problem as a game where players are mobile wireless users and they choose radio APs to connect to the network. We define a new parameter called Access Point Selection Parameter (APSP) based on Signal to Interference plus Noise Ratio (SINR). Each selfish user chooses an AP which maximizes its APSP value. This APSP value depends on both the distance to AP and the total number of connected users in AP. Furthermore, we extend two players game to n-players game by adopting the KP (Koutsoupias-Papadimitriou) model of parallel links. The performance of the proposed game is illustrated by using simulations.

[1]  Matteo Cesana,et al.  Game theoretic analysis of wireless access network selection: models, inefficiency bounds, and algorithms , 2008, VALUETOOLS.

[2]  Christos H. Papadimitriou,et al.  Worst-case Equilibria , 1999, STACS.

[3]  Jie Wu,et al.  Designing a Practical Access Point Association Protocol , 2010, 2010 Proceedings IEEE INFOCOM.

[4]  Mingyi Hong,et al.  Joint distributed access point selection and power allocation in cognitive radio networks , 2011, 2011 Proceedings IEEE INFOCOM.

[5]  Li-Hsing Yen,et al.  Stability and Fairness of AP Selection Games in IEEE 802.11 Access Networks , 2011, IEEE Transactions on Vehicular Technology.

[6]  Jianwei Huang,et al.  Convergence Dynamics of Resource-Homogeneous Congestion Games , 2011, GAMENETS.

[7]  Adam Wolisz,et al.  Interference-aware decentralized access point selection policy for multi-rate IEEE 802.11 Wireless LANs , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[8]  Matteo Cesana,et al.  Network Selection and Resource Allocation Games for Wireless Access Networks , 2013, IEEE Transactions on Mobile Computing.

[9]  Eitan Altman,et al.  A Hybrid Approach for Radio Resource Management in Heterogeneous Cognitive Networks , 2011, IEEE Journal on Selected Areas in Communications.

[10]  Antonio Capone,et al.  Modelling network selection and resource allocation in wireless access networks with non-cooperative games , 2008, 2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[11]  Gabriel-Miro Muntean,et al.  Game Theory-Based Network Selection: Solutions and Challenges , 2012, IEEE Communications Surveys & Tutorials.