Resource allocation in cellular networks based on marketing preferences

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...

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Bibliographic Details
Published in:Wireless networks 2010, Vol.16 (1), p.27-38
Main Authors: Kastro, Yomi, Işıklar, Gülfem, Bener, Ayşe Başar
Format: Article
Language:English
Subjects:
Alliances
Brand loyalty
Communications Engineering
Communications networks
Computer Communication Networks
Costs
Customer relationship management
Customer services
Electrical Engineering
Engineering
IT in Business
Marketing
Multimedia
Networks
Pareto optimum
Performance evaluation
Quality of service
Resource allocation
Resource management
Revenue management
Spectrum allocation
Strategic management
Studies
Wireless networks
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Summary: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.
ISSN:1022-0038
1572-8196
DOI:10.1007/s11276-008-0112-7