An econometric model for resource management in competitive wireless data networks

Authors:
S. K. Das;H. Lin;M. Chatterjee
Affiliations:
Texas Univ., Arlington, TX, USA;-;-
Venue:
IEEE Network: The Magazine of Global Internetworking
Year:
2004

Citing 0
Cited 10

ARC: An Integrated Admission and Rate Control Framework for Competitive Wireless CDMA Data Networks Using Noncooperative Games

IEEE Transactions on Mobile Computing
Rate Allocation and Admission Control for Differentiated Services in CDMA Data Networks

IEEE Transactions on Mobile Computing
Congestion-only charging: a novel pricing mechanism for use in differentiated services networks

The Fourth International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness & Workshops
Fuzzy neural control for economic-driven radio resource management in beyond 3G networks

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Cooperative game theoretic approach to integrated bandwidth sharing and allocation

GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Resource allocation in cellular networks based on marketing preferences

Wireless Networks
Customer oriented resource allocation framework in cognitive radio

Computers and Industrial Engineering
Multi-timescale economics-driven traffic management in MPLS networks

Network performance engineering
User cooperation and search in intelligent networks

WAC'05 Proceedings of the Second international IFIP conference on Autonomic Communication
Fair and Efficient Spectrum Splitting for Unlicensed Secondary Users in Cooperative Cognitive Radio Networks

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This article investigates the role and importance of the economic aspects that are vital to the success of wireless services deployment and provider selection by users in a competitive environment. We show how some of the econometric measures can meaningfully capture the user decisions/actions (e.g., churning) that can potentially be utilized by the providers in managing radio resources (e.g., bandwidth) in wireless data networks. In particular, by modeling the interaction between a service provider and its customers (or users) as a non-cooperative game, we propose a novel cross-layer resource management framework for integrated admission and rate control in CDMA networks. Analytical and simulation results demonstrate how the proposed framework can help minimize customer churning and maximize revenue for the wireless operators, yet optimizing customer satisfaction by providing differentiated quality of service to different classes of users.