Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofaïl University -Kénitra- Morocco

Research Article

Application of game theory to the optimization of wireless systems Algorithmic solutions

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  • @INPROCEEDINGS{10.4108/eai.24-4-2019.2284113,
        author={sara  riahi and azzeddine  riahi},
        title={Application of game theory to the optimization of wireless systems Algorithmic solutions},
        proceedings={Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofa\~{n}l University -K\^{e}nitra- Morocco},
        publisher={EAI},
        proceedings_a={ICCWCS},
        year={2019},
        month={5},
        keywords={game theory schedulers resource allocation qos fairness utility},
        doi={10.4108/eai.24-4-2019.2284113}
    }
    
  • sara riahi
    azzeddine riahi
    Year: 2019
    Application of game theory to the optimization of wireless systems Algorithmic solutions
    ICCWCS
    EAI
    DOI: 10.4108/eai.24-4-2019.2284113
sara riahi,*, azzeddine riahi1
  • 1: Chouaib Doukkali University, Faculty of Sciences
*Contact email: riahisaraphd@gmail.com

Abstract

This paper is primarily based on a study of some research that addressed resource management in wireless systems. 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 rate in optimizing the management of resources by the formalism of game theory. Then, some scheduling algorithms in the ascending link are exposed to make a complete analysis of the different aspects adopted in the scheduling. Second, the courtesy algorithm resource optimization in the uplink in fixed wireless systems is presented. The algorithm defines a priority management policy to improve the low-priority traffic service without affecting the high priority traffic QoS. Finally, a critical assessment of existing solutions is carried out to a design of a robust scheduling mechanism.