Resilience of airborne networks

Hamed Ahmadi, Gianluca Fontanesi, Konstantinos Katzis, Muhammad Zeeshan Shakir, Anding Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publicationIEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1155-1156
Number of pages2
ISBN (Electronic)9781538660096
DOIs
Publication statusPublished - 20 Dec 2018
EventIEEE International Symposium on Personal, Indoor and Mobile Radio Communications - Bologna, Italy
Duration: 9 Sep 201812 Oct 2018
Conference number: 29th
http://pimrc2018.ieee-pimrc.org/

Publication series

NameIEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
PublisherIEEE
ISSN (Electronic)2166-9589

Conference

ConferenceIEEE International Symposium on Personal, Indoor and Mobile Radio Communications
Abbreviated titleIEEE PIMRC 2018
CountryItaly
CityBologna
Period9/09/1812/10/18
Internet address

Keywords

  • networked flying platforms
  • resilience
  • self-organizing networks
  • machine learning
  • blockchain

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  • Cite this

    Ahmadi, H., Fontanesi, G., Katzis, K., Shakir, M. Z., & Zhu, A. (2018). Resilience of airborne networks. In IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) (pp. 1155-1156). (IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)). IEEE. https://doi.org/10.1109/PIMRC.2018.8580944