Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-21644
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Expansive networks : exploiting spectrum sharing for capacity boost and 6G vision
Authors: Gür, Gürkan
et. al: No
DOI: 10.21256/zhaw-21644
Published in: Journal of Communications and Networks
Pages: 444
Pages to: 454
Issue Date: Dec-2020
Publisher / Ed. Institution: Korean Institute of Communications Information Sciences
ISSN: 1229-2370
1976-5541
Language: English
Subjects: 6G/Beyond 5G networks; DLT; Expansive networks; Spectrum sharing; Network intelligence
Subject (DDC): 004: Computer science
621.3: Electrical, communications, control engineering
Abstract: Adaptive capacity with cost-efficient resource provisioning is a crucial capability for future 6G networks. In this work, we conceptualize "expansive networks" which refers to a networking paradigm where networks should be able to extend their resource base by opportunistic but self-controlled expansive actions. To this end, we elaborate on a key aspect of an expansive network as a concrete example: Spectrum resource at the PHY layer. Evidently, future wireless networks need to provide efficient mechanisms to coexist in the licensed and unlicensed bands and operate in expansive mode. In this work, we first describe spectrum sharing issues and possibilities in 6G networks for expansive networks. We then present security implications of expansive networks, an important concern due to more open and coupled systems in expansive networks. We also discuss two key enablers, namely distributed ledger technology (DLT) and network intelligence via machine learning, which are promising to realize expansive networks for the spectrum sharing aspect.
URI: https://ieeexplore.ieee.org/document/9321158
https://digitalcollection.zhaw.ch/handle/11475/21644
Fulltext version: Published version
License (according to publishing contract): CC BY-NC 4.0: Attribution - Non commercial 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Appears in collections:Publikationen School of Engineering

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