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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Roberto P. Antonioli & Emanuel B. Rodrigues & Tarcisio F. Maciel & Diego A. Sousa & Francisco R. P. Cavalcanti, 2018. "Adaptive resource allocation framework for user satisfaction maximization in multi-service wireless networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(2), pages 259-275, June.
    • Handle: RePEc:spr:telsys:v:68:y:2018:i:2:d:10.1007_s11235-017-0391-3
    DOI: 10.1007/s11235-017-0391-3
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    References listed on IDEAS

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    1. Ali Mohammed Alsahag & Borhanuddin M. Ali & Nor Kamariah Noordin & Hafizal Mohamad, 2016. "Maximum rate resource allocation algorithms with multiuser diversity and QoS support for downlink OFDMA based WiMAX system," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 63(1), pages 1-14, September.
    2. Nadim K. M. Madi & Zurina Bt Mohd Hanapi & Mohamed Othman & Shamala Subramaniam, 2017. "Two-level QoS-aware frame-based downlink resources allocation for RT/NRT services fairness in LTE networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 66(3), pages 357-375, November.
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