REM: Revisiting a cognitive tool for virtualized 5G networks

Adrian Kliks, Leonardo Goratti, Tao Chen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)

Abstract

The evidence that mobile data traffic is enormously increasing is forcing the whole telecommunications industry to rethink most of the paradigms which have driven until now the design of mobile networks, traditionally very efficient for voice and limited data communications. It is foreseen that 5G technology will introduce disruptive changes with respect to how radio resources are managed and consumed. In past years cognitive radio made its way to enable more intelligent and autonomous wireless networks but it has encountered several practical problems which have slowed down the massive adoption of this technology. Recently, an apparent turnaround has risen from the adoption of Software-Defined Network (SDN) and Network Functions Virtualization (NFV) principles. In this work we shall restart from known cognitive radio concepts which have been innovative in terms spectrum management in past years, paying particular attention to the concept of Radio Environment Maps (REMs). The main contribution of this work is hence to propose a high-level architecture in which SDN and NFV are the enablers that will facilitate the adoption of REM as the tool for spectrum management, since 5G will exhibit unprecedented levels of flexibility in managing different types of resources.

Original languageEnglish
Title of host publication2016 23rd International Conference on Telecommunications, ICT 2016
PublisherIEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)978-1-5090-1990-8
DOIs
Publication statusPublished - 27 Jun 2016
MoE publication typeA4 Article in a conference publication
Event23rd International Conference on Telecommunications, ICT 2016 - Thessaloniki, Greece
Duration: 16 May 201618 May 2016

Conference

Conference23rd International Conference on Telecommunications, ICT 2016
CountryGreece
CityThessaloniki
Period16/05/1618/05/16

Fingerprint

Cognitive radio
Wireless networks
Telecommunication industry
Telecommunication traffic
Communication
Network function virtualization

Cite this

Kliks, A., Goratti, L., & Chen, T. (2016). REM: Revisiting a cognitive tool for virtualized 5G networks. In 2016 23rd International Conference on Telecommunications, ICT 2016 [7500411] IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ICT.2016.7500411
Kliks, Adrian ; Goratti, Leonardo ; Chen, Tao. / REM : Revisiting a cognitive tool for virtualized 5G networks. 2016 23rd International Conference on Telecommunications, ICT 2016. IEEE Institute of Electrical and Electronic Engineers , 2016.
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Kliks, A, Goratti, L & Chen, T 2016, REM: Revisiting a cognitive tool for virtualized 5G networks. in 2016 23rd International Conference on Telecommunications, ICT 2016., 7500411, IEEE Institute of Electrical and Electronic Engineers , 23rd International Conference on Telecommunications, ICT 2016, Thessaloniki, Greece, 16/05/16. https://doi.org/10.1109/ICT.2016.7500411

REM : Revisiting a cognitive tool for virtualized 5G networks. / Kliks, Adrian; Goratti, Leonardo; Chen, Tao.

2016 23rd International Conference on Telecommunications, ICT 2016. IEEE Institute of Electrical and Electronic Engineers , 2016. 7500411.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Kliks A, Goratti L, Chen T. REM: Revisiting a cognitive tool for virtualized 5G networks. In 2016 23rd International Conference on Telecommunications, ICT 2016. IEEE Institute of Electrical and Electronic Engineers . 2016. 7500411 https://doi.org/10.1109/ICT.2016.7500411