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

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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.

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Acknowledgements

The authors acknowledge the technical and financial support from Ericsson Research, Wireless Access Network Department, Sweden, and from the Ericsson Innovation Center, Brazil, under EDB/UFC.40 Technical Cooperation Contract. Roberto P. Antonioli would like to acknowledge FUNCAP for its scholarship support. T. F. Maciel would like to acknowledge CNPq for its financial support under the grants 426385/2016-0 and 308398/2015-7.

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Authors and Affiliations

  1. Wireless Telecommunications Research Group (GTEL), Federal University of Ceará, Av. Mister Hull, CP 6005, CEP 60455-760, Fortaleza, CE, Brazil

    Roberto P. Antonioli, Emanuel B. Rodrigues, Tarcisio F. Maciel, Diego A. Sousa & Francisco R. P. Cavalcanti

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  1. Roberto P. Antonioli
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  2. Emanuel B. Rodrigues
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  3. Tarcisio F. Maciel
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  4. Diego A. Sousa
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  5. Francisco R. P. Cavalcanti
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Correspondence to Roberto P. Antonioli.

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Antonioli, R.P., Rodrigues, E.B., Maciel, T.F. et al. Adaptive resource allocation framework for user satisfaction maximization in multi-service wireless networks. Telecommun Syst 68, 259–275 (2018). https://doi.org/10.1007/s11235-017-0391-3

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