A new dimension to spectrum management in IoT empowered 5G networks

Ansari, R. I., Pervaiz, H., Hassan, S. A., Chrysostomou, C., Imran, M. A. , Mumtaz, S. and Tafazolli, R. (2019) A new dimension to spectrum management in IoT empowered 5G networks. IEEE Network, 33(4), pp. 186-193. (doi: 10.1109/MNET.2019.1800157)

181764.pdf - Accepted Version



Paving the way for future 5G technologies requires a need to overcome the spectrum crunch, which is one of the major challenges impeding the growth of wireless technology. The issue at hand becomes more pronounced when we consider IoT, where billions of devices require connectivity. This article motivates the need for exploring new spectrum opportunities with reference to the requirements of IoT networks. Millimeter wave (mmWave) spectrum is considered as a panacea for overcoming the spectrum crunch, providing the much needed breathing space for introducing new applications that require higher rates. A network based on CDSA could further improve performance by utilizing mmWave-based DBSs. The CBS operates on the sub-6 GHz single band, while the DBS possesses a dual-band capability. This article presents a new dimension to spectrum heterogeneity by utilizing a dual-band approach at the DBS. One of the unique aspects of this work includes the analysis of a joint radio resource allocation algorithm based on LDD and we compare the proposed algorithm with the maxRx, DSA and JPRA algorithms. The analysis is further expanded by showing an interplay between the utilization of licensed and unlicensed mmWave resources and how dynamic spectrum management could help in their efficient utilization.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Ansari, R. I., Pervaiz, H., Hassan, S. A., Chrysostomou, C., Imran, M. A., Mumtaz, S., and Tafazolli, R.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Network
ISSN (Online):1558-156X
Published Online:31 July 2019
Copyright Holders:Copyright © 2019 IEEE
First Published:First published in IEEE Network 33(4): 186-193
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3007250Distributed Autonomous Resilient Emergency Management System (DARE)Muhammad ImranEngineering and Physical Sciences Research Council (EPSRC)EP/P028764/1ENG - Systems Power & Energy