Data networks (2nd ed.)
Economic aspects of configuring cellular networks
Wireless Networks
Mobile communications
A game theoretic framework for bandwidth allocation and pricing in broadband networks
IEEE/ACM Transactions on Networking (TON)
Adaptive QoS management for IEEE 802.11 future wireless ISPs
Wireless Networks
Distributed scheduling and dynamic pricing in a communication network
Wireless Networks
WIOPT '05 Proceedings of the Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Mobile Web Services: A New Agent-Based Framework
IEEE Internet Computing
End-to-end QoS framework for heterogeneous wired-cum-wireless networks
Wireless Networks
Telecommunications policy in Turkey: Dismantling barriers to growth
Telecommunications Policy
The priority factor model for customer relationship management system success
Expert Systems with Applications: An International Journal
SLA-based QoS pricing in DiffServ networks
Computer Communications
The Croatian telecommunications way toward the communications era
IEEE Communications Magazine
An econometric model for resource management in competitive wireless data networks
IEEE Network: The Magazine of Global Internetworking
Resource management framework for collaborative computing systems over multiple virtual machines
Service Oriented Computing and Applications
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As the usage of cellular phones increases wireless subscribers demand many advanced networking capabilities, especially multimedia applications with very high Quality of Service (QoS) requirements. The limited availability of radio spectrum enforces Mobile Network Operators (MNOs) to have efficient resource management strategies. The goal is to offer services that satisfy the QoS requirements of individual users while achieving an efficient utilization of network resources. This paper considers a resource allocation strategy for cellular networks to be applied during call initiation, handoff and allocation of mobile base stations. Long-term customer retention becomes a major challenge for MNOs due to severe competition in the telecommunications industry. Therefore the MNOs need to understand the customer demographics as well as the customer spending behavior in telecommunications market. Our proposed model combines the information about the customer demographics and usage behavior once the call is initiated. Our hypothesis is that using customer information together with call information yields an efficient customer-oriented resource management strategy. We have performed simulations with different real-life scenarios. Our results show that our proposed model performs better in terms of revenue increase when compared to the First-Come First-Serve based approach.