Abstract
The introduction of Machine to Machine (M2M) communications in future cellular networks will be subject to considerable degradation in the performance of existing traditional Human to Human (H2H) applications. However, with the ever increasing data traffic, resource allocation and traffic management, while maintaining quality of service, are a major challenge in terms of terminal fairness and throughput. In this paper we are interested in the allocation of radio resources in downlink Long Term Evolution (LTE) network including a comparative study between six scheduling algorithms which are: Proportional Fair (PF), Exponential Proportional Fair (EXP/PF), Maximum Largest Weighted Delay First (MLWDF), Frame Level Scheduler (FLS), Exponential Rule (EXP-RULE) and Logarithmic Rule (LOG-RULE). We considered the real-time flows (video and voip) in terms of throughput, goodput, fairness index and spectral efficiency, in order to have a clearer view of the quality of experience provided by these algorithms.
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Ouaissa, M., Rhattoy, A., Lahmer, M. (2019). Comparative Performance Study of QoS Downlink Scheduling Algorithms in LTE System for M2M Communications. In: Rocha, Á., Serrhini, M. (eds) Information Systems and Technologies to Support Learning. EMENA-ISTL 2018. Smart Innovation, Systems and Technologies, vol 111. Springer, Cham. https://doi.org/10.1007/978-3-030-03577-8_25
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DOI: https://doi.org/10.1007/978-3-030-03577-8_25
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