Abstract
LTE systems are designed to serve different classes of traffic through the IP-based packet-switched networks. Because of the inconsistent QoS requirements for each traffic class, LTE systems have scheduling mechanisms to support service differentiation when allocating block resources. As the 3GPP standard does not require the adoption of a particular approach, the schedulers design is left open to researchers and designers. This work focuses first on a study of some research that has addressed the management of resources in LTE networks. The study presents a classification of schedulers in the uplink and is interested in the class of schedulers based QoS because of the importance of delay parameters and flow in optimizing the management of resources. Then, some scheduling algorithms in the downlink are exposed in order to make a complete analysis of the different aspects adopted in the scheduling. Secondly, the resource optimization algorithm in the uplink in fixed WIMAX networks is presented. The algorithm defines a priority management policy to improve the low priority traffic service without affecting the high priority traffic QoS. Finally, an evaluation of existing solutions is carried out to a design of a robust scheduling mechanism.
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We would like to thank the CNRST of Morocco (I 012/004) for support.
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Riahi, S., Riahi, A. (2020). Optimization and Evolutionary Games, Stochastic Equilibrium Application to Cellular Systems. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Lecture Notes in Networks and Systems, vol 92. Springer, Cham. https://doi.org/10.1007/978-3-030-33103-0_20
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DOI: https://doi.org/10.1007/978-3-030-33103-0_20
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