Version 1
: Received: 26 August 2018 / Approved: 27 August 2018 / Online: 27 August 2018 (10:17:38 CEST)
How to cite:
de Figueiredo, F.A.P.; Jiao, X.; Liu, W.; Jabandžić, I.; Giannoulis, S.; Moerman, I. A Framework for Intelligent Spectrum Sharing. Preprints2018, 2018080447. https://doi.org/10.20944/preprints201808.0447.v1
de Figueiredo, F.A.P.; Jiao, X.; Liu, W.; Jabandžić, I.; Giannoulis, S.; Moerman, I. A Framework for Intelligent Spectrum Sharing. Preprints 2018, 2018080447. https://doi.org/10.20944/preprints201808.0447.v1
de Figueiredo, F.A.P.; Jiao, X.; Liu, W.; Jabandžić, I.; Giannoulis, S.; Moerman, I. A Framework for Intelligent Spectrum Sharing. Preprints2018, 2018080447. https://doi.org/10.20944/preprints201808.0447.v1
APA Style
de Figueiredo, F.A.P., Jiao, X., Liu, W., Jabandžić, I., Giannoulis, S., & Moerman, I. (2018). A Framework for Intelligent Spectrum Sharing. Preprints. https://doi.org/10.20944/preprints201808.0447.v1
Chicago/Turabian Style
de Figueiredo, F.A.P., Spilios Giannoulis and Ingrid Moerman. 2018 "A Framework for Intelligent Spectrum Sharing" Preprints. https://doi.org/10.20944/preprints201808.0447.v1
Abstract
The explosive emergence of wireless technologies and standards, covering licensed and unlicensed spectrum bands has triggered the appearance of a huge amount of wireless technologies, with many of them coexisting in the same band. Unfortunately, the wireless spectrum is a scarce resource, and the available frequency bands will not scale with the foreseen demand for new capacity. Certain parts of the spectrum, in particular the license-free ISM bands, are overcrowded, while other parts, mostly licensed bands, may be significantly underutilized. As such, there is a need to introduce more advanced techniques to access and share the wireless medium, either to improve the coordination within a given band, or to explore the possibilities of intelligently using unused spectrum in underutilized (licensed) bands. Therefore, in this paper, we present a SDR based framework that can be employed to devise disruptive techniques to optimize the sub-optimal use of radio spectrum that exists today. Additionally, we describe two use cases for the proposed framework.
Keywords
intelligent radio networks; spectrum sharing; coexistence; experimental evaluation
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
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.
Received:
27 August 2018
Commenter:
Felipe Augusto P. de Figueiredo
The commenter has declared there is no conflict of interests.
Comment:
This paper was submitted to: 4th International Forum on Research and Technologies for Society and Industry (RTSI) in Palermo, Italy, September 2018.
Commenter: Felipe Augusto P. de Figueiredo
The commenter has declared there is no conflict of interests.