Research Article
Spectrum Sharing Approaches for Machine-Type Communications over LTE Heterogeneous Networks
@INPROCEEDINGS{10.1007/978-3-319-47063-4_15, author={Antonino Orsino and Massimo Condoluci and Giuseppe Araniti}, title={Spectrum Sharing Approaches for Machine-Type Communications over LTE Heterogeneous Networks}, proceedings={Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015. Revised Selected Papers, Part I}, proceedings_a={IOT360}, year={2017}, month={1}, keywords={M2M HetNets LTE IoT Spectrum sharing}, doi={10.1007/978-3-319-47063-4_15} }- Antonino Orsino
Massimo Condoluci
Giuseppe Araniti
Year: 2017
Spectrum Sharing Approaches for Machine-Type Communications over LTE Heterogeneous Networks
IOT360
Springer
DOI: 10.1007/978-3-319-47063-4_15
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 exploits an heterogeneous networks (HetNets) deployment aiming to handle massive huge load of MTC devices and 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.
