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

Asmae Mamane (), M. Fattah (), M. El Ghazi () and M. El Bekkali ()
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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

Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 80, issue 1, No 3, 33-43

Abstract: 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.

Keywords: 5G; Scheduling algorithm; Perceptron; Weighted-sum optimization; Multi-criteria; QoS (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11235-022-00885-3

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