Etude de l'impact de différents algorithmes d'ordonnancement pour les femto-cellules pour des trafics temps réel dans le réseau 5G

Le déploiement des femto-cellules dans les systèmes de cinquième génération (5G), s’avère nécessaire grâce à leurs avantages en termes du nombre d'utilisateurs supporté, et de la réduction de la consommation d'énergie, permettant ainsi de répondre aux exigences des réseaux 5G. Or que l’allocation des ressources et la gestion du traffic, tout en maintenant la qualité de service (QoS) ; constituent un défi majeur en terme d’équité et de débit perçu au niveau du terminal.    Dans ce papier, un certain nombre d'algorithmes d'ordonnancement prévus d’être utilisés en 5G, à savoir l’algorithme Proportional Fair (PF), l’algorithme Exponential Proportional Fair (EXP/PF) et l’algorithme Maximum Largest Weighted Delay First (MLWDF) sont étudiés et comparés en matière d’équité (Fairness Index), de débit utile (Goodput) et d’efficacité spectrale, au niveau des femto-cellules en sens descendant

Proportional fair buffer scheduling algorithm for 5G enhanced mobile broadband

The impending next generation of mobile communications denoted 5G intends to interconnect user equipment, things, vehicles, and cities. It will provide an order of magnitude improvement in performance and network efficiency, and different combinations of use cases enhanced mobile broadband (eMBB), ultra reliable low latency communications (URLLC), massive internet of things (mIoT) with new capabilities and diverse requirements. Adoption of advanced radio resource management procedures such as packet scheduling algorithms is necessary to distribute radio resources among different users efficiently. The proportional fair (PF) scheduling algorithm and its modified versions have proved to be the commonly used scheduling algorithms for their ability to provide a tradeoff between throughput and fairness. In this article, the buffer status is combined with the PF metric to suggest a new scheduling algorithm for efficient support for eMBB. The effectiveness of the proposed scheduling strategy is proved through à comprehensive experimental analysis based on the evaluation of different quality of service key performance indicators (QoS KPIs) such as throughput, fairness, and buffer status

5G Enhanced Mobile Broadband (eMBB): Evaluation of Scheduling Algorithms Performances for Time-Division Duplex Mode

5G mobile communications introduce novel solutions to overcome the frequency spectrum’s shortage. It broadens the spectrum band to millimeter-waves, employs multiple numerologies to calculate subcarrier spacing, and supports various division duplex modes. Furthermore, the fifth generation of mobile networks intends to employ both, frequency division duplex, and time division duplex. This study focuses on Time Division Duplex (TDD) mode. Compared to the Frequency Division Duplex (FDD), the time duplex mode enhances flexibility and allows efficient frequency spectrum usage. However, the recent papers addressing resource scheduling issues for TDD duplex employ only the current classical schedulers, which were primarily designed for FDD mode, to accomplish radio resource allocation. In this paper, we compared the achievable throughput and data accumulated in the buffer of these schedulers to assess their suitability and compatibility with TDD specifications. The resulting performances show that an appropriate scheduler in line with TDD requirements should be implemented to exploit the available spectrum efficiently and reach the required throughput