Joint Frequency and Power Allocation in Wireless Mesh Networks: A Self-Pricing Game Model

A self-pricing game model for joint frequency and power allocation in Wireless mesh network is proposed. Joint allocation problem is modeled as a non-cooperative game with price in which each node decides operating channel and transmission power. Differing from traditional pricing game models, price factor in self-pricing game is decided by distributed access point only with its private information, which avoids intercommunication among cells and realizes totally distributed implementation. The existence of Nash equilibrium of proposed game is studied. Simulation results verify the effectiveness and robustness of the proposed scheme.

[1]  Allen B. MacKenzie,et al.  Game Theory for Wireless Engineers , 2006, Game Theory for Wireless Engineers.

[2]  Matthew S Gast 802.11 Wireless Networks: The Definitive Guide, Second Edition , 2005 .

[3]  Narayan B. Mandayam,et al.  Pricing and power control for joint network-centric and user-centric radio resource management , 2004, IEEE Transactions on Communications.

[4]  Michael L. Honig,et al.  Distributed interference compensation for wireless networks , 2006, IEEE Journal on Selected Areas in Communications.

[5]  Wei Yu,et al.  Dual methods for nonconvex spectrum optimization of multicarrier systems , 2006, IEEE Transactions on Communications.

[6]  Cem U. Saraydar,et al.  Efficient power control via pricing in wireless data networks , 2002, IEEE Trans. Commun..

[7]  Mihaela van der Schaar,et al.  A new perspective on multi-user power control games in interference channels , 2007, IEEE Transactions on Wireless Communications.

[8]  Raghupathy Sivakumar,et al.  Component based channel assignment in single radio, multi-channel ad hoc networks , 2006, MobiCom '06.

[9]  Wei Yu,et al.  Optimal multiuser spectrum balancing for digital subscriber lines , 2006, IEEE Transactions on Communications.

[10]  Wei Yu,et al.  Distributed multiuser power control for digital subscriber lines , 2002, IEEE J. Sel. Areas Commun..

[11]  Christian Hartmann,et al.  Decentralized inter-cell interference coordination by autonomous spectral reuse decisions , 2008, 2008 14th European Wireless Conference.

[12]  James O'Daniell Neel,et al.  Analysis and Design of Cognitive Radio Networks and Distributed Radio Resource Management Algorithms , 2006 .

[13]  Zhi-Quan Luo,et al.  Dynamic Spectrum Management: Complexity and Duality , 2008, IEEE Journal of Selected Topics in Signal Processing.

[14]  Moh Lim Sim,et al.  Game theoretic approach for channel assignment and power control with no-internal-regret learning in wireless ad hoc networks , 2008, IET Commun..

[15]  Cem U. Saraydar,et al.  Pricing and power control in a multicell wireless data network , 2001, IEEE J. Sel. Areas Commun..

[16]  Sumit Roy,et al.  WLC30-4: Static Channel Assignment in Multi-radio Multi-Channel 802.11 Wireless Mesh Networks: Issues, Metrics and Algorithms , 2006, IEEE Globecom 2006.

[17]  Yuguang Fang,et al.  Joint Channel and Power Allocation in Wireless Mesh Networks: A Game Theoretical Perspective , 2008, IEEE Journal on Selected Areas in Communications.

[18]  Phone Lin,et al.  Design and Performance Study for a Mobility Management Mechanism (WMM) Using Location Cache for Wireless Mesh Networks , 2008, IEEE Transactions on Mobile Computing.

[19]  Allen B. MacKenzie,et al.  Game Theory for Wireless Engineers (Synthesis Lectures on Communications) , 2006 .

[20]  Vincent W. S. Wong,et al.  Joint Channel Allocation, Interface Assignment and MAC Design for Multi-Channel Wireless Mesh Networks , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[21]  Ranjan K. Mallik,et al.  A game-theoretic approach for distributed power control in interference relay channels , 2009, IEEE Transactions on Wireless Communications.

[22]  Ian F. Akyildiz,et al.  Wireless mesh networks: a survey , 2005, Comput. Networks.