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Cooperative cognitive network slicing virtualization for smart IoT applications

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Autore
Foukalas F., Tziouvaras A., Karetsos G.
Data
2020
Language
en
DOI
10.1109/PIMRC48278.2020.9217150
Soggetto
Mobile radio systems
Radio communication
Virtualization
Cognitive network
Cooperative networks
Experimental platform
Experimental trials
Internet of Things (IOT)
IOT applications
Network slicing
Resource management
Internet of things
Institute of Electrical and Electronics Engineers Inc.
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Abstract
This paper proposes the cooperative cognitive net-work slicing virtualization solution for smart Internet of things (IoT) applications. To this end, we deploy virtualized small base stations (vSBSs) in SDR devices that offer network-slicing virtualization option. The proposed virtualized solution relies on Fed4Fire wireless experimental platform. In particular, we assume that multiple IoT devices can have access to different vSBSs, which coordinate their resources in a cooperative manner using machine learning (ML). To this end, a proactive resource management is deployed in the unlicensed band, where a cooperative solution is facilitated using the licensed band. The cooperative network slicing is managed and orchestrated using small cell virtualization offered by the Fed4Fire. Experimental trials are carried out for certain number of users and results are obtained that highlight the benefit of employing cooperative cognitive network slicing in future virtualized wireless networks. © 2020 IEEE.
URI
http://hdl.handle.net/11615/71709
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