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Radio resource management with QoS guarantees for LTE-A systems: a review focused on employing the multi-objective optimization techniques

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  • Ayesha Haider Ali

    (Lahore College for Women University)

  • Mohsin Nazir

    (Lahore College for Women University)

Abstract

The increasing number of subscribers’ demand has led to the evolution of future wireless networks that support multimedia applications and require ensuring the quality of services it provides. As the radio resource is becoming scarce, it is turning out to be a vital issue that how should the demands for higher data rates with limited resources is met for the evolving long term evolution-advanced (LTE-A) systems. Moreover, the efficiency and performance of resource management can be further improved by autonomously assigning and managing resources among various users and applications. We have surveyed various radio resource management (RRM) techniques being used for resource sharing in LTE-A networks that focus on the potential of multi-objective optimization algorithms for achieving desired QoS in LTE-A system. In this paper, we present a comprehensive review of RRM techniques, scheduling, and QoS along with a focus on implementing the multi-objective optimization techniques for efficient resource allocation.

Suggested Citation

  • Ayesha Haider Ali & Mohsin Nazir, 2018. "Radio resource management with QoS guarantees for LTE-A systems: a review focused on employing the multi-objective optimization techniques," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(2), pages 349-365, February.
  • Handle: RePEc:spr:telsys:v:67:y:2018:i:2:d:10.1007_s11235-017-0342-z
    DOI: 10.1007/s11235-017-0342-z
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    References listed on IDEAS

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    2. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, December.
    3. Roy, Bernard, 1993. "Decision science or decision-aid science?," European Journal of Operational Research, Elsevier, vol. 66(2), pages 184-203, April.
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    Cited by:

    1. Asmae Mamane & M. Fattah & M. El Ghazi & M. El Bekkali, 2022. "5G enhanced mobile broadband multi-criteria scheduler for dense urban scenario," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(1), pages 33-43, May.

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