Abstract
Machine-type communications (MTC) are expected to be a key enablers in the Internet of Things (IoT) ecosystem by providing ubiquitous connectivity among a new type of small devices (e.g., sensors, wearable devices, smartphone) without (or with minimal) the need of human intervention. In such a scenario, the architecture as well as the radio resource management (RRM) of next-to-come 5G systems needs to be enhanced in order to cope with the exponential growth of low-latency and low-energy MTC traffic. To this end, we propose a dynamic RRM policy which (i) exploits an heterogeneous networks (HetNets) deployment aiming to handle massive huge load of MTC devices and (ii) adopts a spectrum sharing approach tailored to improve the spectrum utilization in MTC environments. By comparing our proposal with current policies in literature, simulations conducted through the open-source Network Simulator 3 (NS-3) shown that our proposed use of spectrum sharing technique can efficiently improve the performance of MTC traffic in terms of spectral efficiency, power consumption, and fairness.
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Notes
- 1.
Private frequencies are the portion of bandwidth assigned exclusively to a base station.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Orsino, A., Condoluci, M., Araniti, G. (2016). Spectrum Sharing Approaches for Machine-Type Communications over LTE Heterogeneous Networks. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-47063-4_15
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DOI: https://doi.org/10.1007/978-3-319-47063-4_15
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