Resource allocation in cellular networks based on marketing preferences

• 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
• ISSN: 1022-0038; 1572-8196
• DOI: 10.1007/s11276-008-0112-7

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.