Adaptive resource allocation framework for user satisfaction maximization in multi-service wireless networks

Roberto P. Antonioli (), Emanuel B. Rodrigues (), Tarcisio F. Maciel (), Diego A. Sousa () and Francisco R. P. Cavalcanti ()
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Roberto P. Antonioli: Federal University of Ceará
Emanuel B. Rodrigues: Federal University of Ceará
Tarcisio F. Maciel: Federal University of Ceará
Diego A. Sousa: Federal University of Ceará
Francisco R. P. Cavalcanti: Federal University of Ceará

Telecommunication Systems: Modelling, Analysis, Design and Management, 2018, vol. 68, issue 2, No 10, 259-275

Abstract: Abstract In order to capture and maintain a representative share of the wireless communication market, effective ways to manage the scarce physical resources of cellular networks are fundamental for cellular network operators. In this context, this paper proposes an adaptive Radio Resource Allocation algorithm that targets the user satisfaction maximization in cellular networks with multiple services. The proposed algorithm is mathematically derived from a utility-based cross-layer optimization framework and employs user weights as well as an innovative service weight that is adapted to meet the satisfaction target of the most prioritized service. Furthermore, the proposed algorithm is scalable to several services classes and can be employed in the current and future generations of wireless systems that guarantee orthogonality among the allocable resources. The performance evaluation is conducted in realistic scenarios of the downlink of an Orthogonal Frequency Division Multiple Access based cellular network serving video and Constant Bit Rate flows, where we assume imperfect Channel State Information at the transmitter. Significant gains in the joint system capacity were obtained, demonstrating that the adaptability and service prioritization allow the accomplishment of simultaneously maximizing the user satisfaction for distinct services.

Keywords: Utility theory; Multi-service; Radio Resource Allocation; Quality of Service; User satisfaction (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s11235-017-0391-3

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