Adaptive call admission control scheme for heterogeneous overlay networks

Any future heterogeneous overlay network system must be able to support ubiquitous access across multiple wireless networks. To coordinate these diverse network environments, one challenging task is a call admission decision among different types of network. In this paper, we propose a new call admission control scheme to provide quality of service (QoS) while ensuring system efficiency. Based on the interplay between network structure and dynamics, we estimate the network's QoS level and adjust the service price adaptively with the aim of maximizing the network performance. A simulation shows that the proposed scheme can approximate an optimized solution while ensuring a well-balanced network performance in widely different network environments.

[1]  Edwin K. P. Chong,et al.  A heuristic for dynamic bandwidth allocation with preemption and degradation for prioritized requests , 2001, Proceedings 21st International Conference on Distributed Computing Systems.

[2]  Nicholas R. Jennings,et al.  Computational-Mechanism Design: A Call to Arms , 2003, IEEE Intell. Syst..

[3]  Sujit Gujar,et al.  Foundations of mechanism design: A tutorial Part 1-Key concepts and classical results , 2008 .

[4]  Pramod K. Varshney,et al.  An integrated adaptive bandwidth-management framework for QoS-sensitive multimedia cellular networks , 2004, IEEE Transactions on Vehicular Technology.

[5]  Mohammed A. Qadeer,et al.  4G as a Next Generation Wireless Network , 2009, 2009 International Conference on Future Computer and Communication.

[6]  Pramod K. Varshney,et al.  Adaptive online bandwidth allocation and reservation for QoS sensitive multimedia networks , 2005, Comput. Commun..

[7]  Helen J. Wang,et al.  Policy-enabled handoffs across heterogeneous wireless networks , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[8]  Mihaela van der Schaar,et al.  Bargaining Strategies for Networked Multimedia Resource Management , 2007, IEEE Transactions on Signal Processing.

[9]  David C. Parkes,et al.  Approximately Efficient Online Mechanism Design , 2004, NIPS.

[10]  Dusit Niyato,et al.  WLC04-5: Bandwidth Allocation in 4G Heterogeneous Wireless Access Networks: A Noncooperative Game Theoretical Approach , 2006, IEEE Globecom 2006.

[11]  Rong Chai,et al.  A noncooperative game-theoretic vertical handoff in 4G heterogeneous wireless networks , 2010, 2010 5th International ICST Conference on Communications and Networking in China.

[12]  Manos Dramitinos,et al.  A bandwidth allocation mechanism for 4G , 2009, 2009 European Wireless Technology Conference.

[13]  Sarvapali D. Ramchurn,et al.  Trust-Based Mechanisms for Robust and Efficient Task Allocation in the Presence of Execution Uncertainty , 2009, J. Artif. Intell. Res..

[14]  Dusit Niyato,et al.  A Noncooperative Game-Theoretic Framework for Radio Resource Management in 4G Heterogeneous Wireless Access Networks , 2008, IEEE Transactions on Mobile Computing.

[15]  Pramod K. Varshney,et al.  An adaptive bandwidth allocation algorithm for QoS guaranteed multimedia networks , 2004, Communications, Internet, and Information Technology.

[16]  Eric J. Friedman,et al.  Pricing WiFi at Starbucks: issues in online mechanism design , 2003, EC '03.

[17]  Hong Ji,et al.  Utility-Based Multi-Service Bandwidth Allocation in the 4G Heterogeneous Wireless Access Networks , 2009, 2009 IEEE Wireless Communications and Networking Conference.