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Sensors 2018, 18(2), 635; https://doi.org/10.3390/s18020635

mIoT Slice for 5G Systems: Design and Performance Evaluation

1
Huawei Technologies, 80992 Munich, Germany
2
Department of Informatics, King’s College London, London WC2R 2LS, UK
*
Author to whom correspondence should be addressed.
Received: 30 November 2017 / Revised: 8 February 2018 / Accepted: 13 February 2018 / Published: 21 February 2018
(This article belongs to the Special Issue Green Wireless Networks in 5G-inspired Applications)
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Abstract

Network slicing is a key feature of the upcoming 5G networks allowing the design and deployment of customized communication systems to integrate services provided by vertical industries. In this context, massive Internet of Things (mIoT) is regarded as a compelling use case, both for its relevance from business perspective, and for the technical challenges it poses to network design. With their envisaged massive deployment of devices requiring sporadic connectivity and small data transmission, yet Quality of Service (QoS) constrained, mIoT services will need an ad-hoc end-to-end (E2E) slice, i.e., both access and core network with enhanced Control and User planes (CP/UP). After revising the key requirements of mIoT and identifying major shortcomings of previous generation networks, this paper presents and evaluates an E2E mIoT network slicing solution, featuring a new connectivity model overcoming the load limitations of legacy systems. Unique in its kind, this paper addresses mIoT requirements from an end-to-end perspective highlighting and solving, unlike most prior related work, the connectivity challenges posed to the core network. Results demonstrate that the proposed solution, reducing CP signaling and optimizing UP resource utilization, is a suitable candidate for next generation network standards to efficiently handle massive device deployment. View Full-Text
Keywords: 5G networks; mIoT; network slicing; control and user plane optimization 5G networks; mIoT; network slicing; control and user plane optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Trivisonno, R.; Condoluci, M.; An, X.; Mahmoodi, T. mIoT Slice for 5G Systems: Design and Performance Evaluation. Sensors 2018, 18, 635.

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