Performances des algorithmes d’ordonnancement dans LTE Uplink

Dans cet article nous nous sommes intéressés à l’allocation des ressources radio dans les réseaux LTE (liaison montante Uplink) notamment avec une étude comparative entre quatre algorithmes d'ordonnancement des flux qui sont :Round Robin RR, First Maximum Expansion FME, Recursive Maximum Expansion RME et Improved Recursive Maximum Expansion IRME.Nous avons considéré les flux temps réel ou RT (Vidéo et VoIP), en considérant les critères de QoS : délai, efficacité spectral et débit.Les résultats obtenus montrent les avantages et les inconvénients de l'utilisation d'un algorithme par rapport à un autre

Survey On Scheduling And Radio Resources Allocation In Lte

ABSTRACT This paper will center mainly on the PS part of the RRM task, which performs the radio resource allocation in both uplink and downlink directions. Several approaches and algorithms have been proposed in the literature to address this need (allocate resources efficiently), the diversity and multitude of algorithms is related to the factors considered for the optimal management of radio resource, specifically, the traffic type and the QoS (Quality of Service) requested by the UE. In this article, an art's state of the radio resource allocation strategies and a detailed study of several scheduling algorithms proposed for LTE (uplink and downlink) are made. Therefore, we offer our evaluation and criticism

QoS-Aware Web Services Selection Based on Fuzzy Dominance

Part 8: Information Technology: OLAP and Web ServicesInternational audienceThe selection of an appropriate web service for a particular task has become a difficult challenge due to the increasing number of web services offering similar functionalities. Quality of web services (QoS) becomes crucial for selecting web services among functionally similar components. However, it remains difficult to select an interesting Web services from a large number of candidates with a good compromise between multiples QoS aspect. In this paper, we propose a novel concept based on dominance degree to rank functionally similar services. We rank Web services by using a fuzzification of Pareto dominance called Average-Fuzzy-Dominated-Score(AFDetS()). We demonstrate the effectiveness of the AFDetS through a set of simulations by using a real Dataset