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Erschienen in: The Journal of Supercomputing 16/2023

11.05.2023

Performance evaluation of opportunistic schedulers based on fairness and throughput in new-generation mobile networks

verfasst von: Mohamed Ouwais Kabaou, Zoghlami Nesrine, Hamouda Hassen, Baabou Fatma

Erschienen in: The Journal of Supercomputing | Ausgabe 16/2023

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Abstract

This paper discusses radio resource management in the telecommunications industry that utilizes opportunistic scheduling approaches and methods. It proposes a new scheduler called IFMR (Improved Fairness of MaxRate) to extend the opportunistic approach with the proposition of a new scheduling solution that enables to significantly maximize the system throughput. Our goal is to ensure better results that maximize system throughput, ensure perfect fairness at three levels and maximize the number of satisfied users who have achieved their desired throughput. Similarly, the performance of the proposed algorithm is evaluated and compared with reference algorithms: round robin, MaxSNR and proportional fair (PF). The focus of this study is to evaluate and analyze the quality of service guaranteed to each network subscriber, considering the heterogeneous data traffic based on simulations. The algorithms presented in this paper are programmed and simulated using the MATLAB simulation software. The study aims to effectively analyze the impact of radio resource management algorithms and schedulers, including the round robin algorithm, MaxSNR and PF, among others, with the main objective of evaluating the performance of the schedulers used by telecommunication and cellphone network operators. The scheduling phase, which precedes resource allocation and assignment, is a critical aspect of the study. The impact of these schedulers on throughput and fairness will also be evaluated and analyzed based on specific criteria.

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Metadaten
Titel
Performance evaluation of opportunistic schedulers based on fairness and throughput in new-generation mobile networks
verfasst von
Mohamed Ouwais Kabaou
Zoghlami Nesrine
Hamouda Hassen
Baabou Fatma
Publikationsdatum
11.05.2023
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 16/2023
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-023-05308-x

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