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5G enhanced mobile broadband multi-criteria scheduler for dense urban scenario

Author

Listed:
  • Asmae Mamane

    (Sidi Mohammed Ben Abdellah University)

  • M. Fattah

    (Moulay Ismail University)

  • M. El Ghazi

    (Sidi Mohammed Ben Abdellah University)

  • M. El Bekkali

    (Sidi Mohammed Ben Abdellah University)

Abstract

Mobile communication networks have entered a new age by introducing fifth-generation technologies (5G). The International Union of Telecommunications (IUT) proposes new core innovations and capabilities for 5G networks to meet the growing need for mobile broadband services. The requirements set by 5G for the enhanced Mobile BroadBand (eMBB) use case seem contradictory. It intends to increase the data rate, afford efficient spectrum usage, provide an excellent fairness level to all users, and reduce buffer size. Accordingly, these needs should be met to perform the expected quality of service. Besides, the scheduling algorithms existing in the field respond separately to the criteria mentioned earlier. For all these reasons, we opted for a multi-objective problem formulation to take all these constraints into account. This paper presents a multi-criteria scheduler for 5G eMBB communications transmitting in a dense urban environment. Our proposed solution combines the weighted sum multi-objective optimization and the perceptron's weights management deployed in neural networks. Moreover, a comparison study was carried out to assess the performance of the suggested algorithm. The comparative analysis proves that the algorithm developed in this paper provides the best performances for the enhanced mobile broadband use case and the scenario adopted.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:telsys:v:80:y:2022:i:1:d:10.1007_s11235-022-00885-3
    DOI: 10.1007/s11235-022-00885-3
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    References listed on IDEAS

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    1. 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.
    2. Mohammed H. Alsharif & Rosdiadee Nordin, 2017. "Evolution towards fifth generation (5G) wireless networks: Current trends and challenges in the deployment of millimetre wave, massive MIMO, and small cells," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 64(4), pages 617-637, April.
    3. Maharazu Mamman & Zurina Mohd Hanapi & Azizol Abdullah & Abdullah Muhammed, 2019. "Quality of Service Class Identifier (QCI) radio resource allocation algorithm for LTE downlink," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-22, January.
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    Cited by:

    1. Rajesh Kumar & Deepak Sinwar & Vijander Singh, 2024. "Analysis of QoS aware traffic template in n78 band using proportional fair scheduling in 5G NR," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 87(1), pages 17-32, September.

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