Version 1
: Received: 30 September 2018 / Approved: 1 October 2018 / Online: 1 October 2018 (15:26:40 CEST)
Version 2
: Received: 12 October 2018 / Approved: 15 October 2018 / Online: 15 October 2018 (12:15:23 CEST)
How to cite:
de Figueiredo, F.A.P.; Mennes, R.; Jiao, X.; Liu, W.; Moerman, I. A Spectrum Sharing Framework for Intelligent Next Generation Wireless Networks. Preprints2018, 2018100017. https://doi.org/10.20944/preprints201810.0017.v2
de Figueiredo, F.A.P.; Mennes, R.; Jiao, X.; Liu, W.; Moerman, I. A Spectrum Sharing Framework for Intelligent Next Generation Wireless Networks. Preprints 2018, 2018100017. https://doi.org/10.20944/preprints201810.0017.v2
de Figueiredo, F.A.P.; Mennes, R.; Jiao, X.; Liu, W.; Moerman, I. A Spectrum Sharing Framework for Intelligent Next Generation Wireless Networks. Preprints2018, 2018100017. https://doi.org/10.20944/preprints201810.0017.v2
APA Style
de Figueiredo, F.A.P., Mennes, R., Jiao, X., Liu, W., & Moerman, I. (2018). A Spectrum Sharing Framework for Intelligent Next Generation Wireless Networks. Preprints. https://doi.org/10.20944/preprints201810.0017.v2
Chicago/Turabian Style
de Figueiredo, F.A.P., Wei Liu and Ingrid Moerman. 2018 "A Spectrum Sharing Framework for Intelligent Next Generation Wireless Networks" Preprints. https://doi.org/10.20944/preprints201810.0017.v2
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 (e.g., licensed) bands. Therefore, in this paper, we present an open source 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 three use cases where the proposed framework can be employed along with intelligent algorithms to achieve improved spectrum utilization.
Keywords
Next Generation Wireless Networks; Cognitive Radios; Collaborative 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.
