Abstract
Internet of Things (IoT) communications have significant impact on our social life due to the exponential growth of many objects and devices creating a fully interconnected world. Due to the high performance requirements of 5G IoT applications, enhancements are needed to support the weighty uplink (UL) traffic produced by Machine-to-Machine (M-M) and Human-to-Human (H-H) communications. In this paper, we present a radio resource management (RRM) approach based on Quality of Service (QoS) requirements of the UL IoT flows. The proposed scheme provides best scenarios that aim to provide a tradeoff between the two types of traffic by guaranteeing the network performance, maximizing the bandwidth utilisation rate and avoiding flow starvation.
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Saddoud, A., Doghri, W., Charfi, E., & Fourati, L. C. (2018). 5G radio resource management approach for internet of things communications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11104 LNCS, pp. 77–89). Springer Verlag. https://doi.org/10.1007/978-3-030-00247-3_7
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