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Resilience of airborne networks

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Author(s)
Ahmadi, Hamed 
Fontanesi, Gianluca 
Katzis, Konstantinos 
Shakir, Muhammad Zeeshan 
Zhu, Anding 
Uri
http://hdl.handle.net/10197/10898
Date Issued
12 September 2018
Date Available
12T09:03:11Z July 2019
Abstract
Networked flying platforms can be used to provide cellular coverage and capacity. Given that 5G and beyond networks are expected to be always available and highly reliable, resilience and reliability of these networks must be investigated. This paper introduces the specific features of airborne networks that influence their resilience. We then discuss how machine learning and blockchain technologies can enhance the resilience of networked flying platforms.
Type of Material
Conference Publication
Publisher
IEEE
Volume
2018-September
Start Page
1155
End Page
1156
Copyright (Published Version)
2018 IEEE
Keywords
  • Networked flying plat...

  • Resilience

  • Self-organizing netwo...

  • Machine learning

  • Blockchain

DOI
10.1109/PIMRC.2018.8580944
Web versions
http://pimrc2018.ieee-pimrc.org/
Language
English
Status of Item
Not peer reviewed
Part of
2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Description
2018 IEEE: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Bologna, Italy 9-12 September 2018
ISBN
9781538660096
ISSN
2166-9570
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Electrical and Electronic Engineering Research Collection
Scopus© citations
6
Acquisition Date
Mar 26, 2023
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