Resilience of airborne networks

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

doi:10.1109/PIMRC.2018.8580944

Resilience of airborne networks

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

146 Downloads (Pure)

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 language	English
Title of host publication	IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1155-1156
Number of pages	2
ISBN (Electronic)	9781538660096
DOIs	https://doi.org/10.1109/PIMRC.2018.8580944
Publication status	Published - 20 Dec 2018
Event	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications - Bologna, Italy Duration: 9 Sept 2018 → 12 Oct 2018 Conference number: 29th http://pimrc2018.ieee-pimrc.org/

Publication series

Name	IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Publisher	IEEE
ISSN (Electronic)	2166-9589

Conference

Conference	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
Abbreviated title	IEEE PIMRC 2018
Country/Territory	Italy
City	Bologna
Period	9/09/18 → 12/10/18
Internet address	http://pimrc2018.ieee-pimrc.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

networked flying platforms
resilience
self-organizing networks
machine learning
blockchain

Access to Document

10.1109/PIMRC.2018.8580944

2018 07 22 Ahmadi et al Resilience acceptedAccepted author manuscript, 189 KB

https://researchrepository.ucd.ie/bitstream/10197/10898/2/1570473932.pdf

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

@inproceedings{df0af1a9264840b79657534a52570119,

title = "Resilience of airborne networks",

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.",

keywords = "networked flying platforms, resilience, self-organizing networks, machine learning, blockchain",

author = "Hamed Ahmadi and Gianluca Fontanesi and Konstantinos Katzis and Shakir, \{Muhammad Zeeshan\} and Anding Zhu",

year = "2018",

month = dec,

day = "20",

doi = "10.1109/PIMRC.2018.8580944",

language = "English",

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publisher = "IEEE",

pages = "1155--1156",

booktitle = "IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)",

address = "United States",

note = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, IEEE PIMRC 2018 ; Conference date: 09-09-2018 Through 12-10-2018",

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}

Ahmadi, H, Fontanesi, G, Katzis, K, Shakir, MZ & Zhu, A 2018, Resilience of airborne networks. in IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), IEEE, Piscataway, NJ, pp. 1155-1156, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Bologna, Italy, 9/09/18. https://doi.org/10.1109/PIMRC.2018.8580944

Resilience of airborne networks. / Ahmadi, Hamed; Fontanesi, Gianluca; Katzis, Konstantinos et al.
IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). Piscataway, NJ: IEEE, 2018. p. 1155-1156 (IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Resilience of airborne networks

AU - Ahmadi, Hamed

AU - Fontanesi, Gianluca

AU - Katzis, Konstantinos

AU - Shakir, Muhammad Zeeshan

AU - Zhu, Anding

N1 - Conference code: 29th

PY - 2018/12/20

Y1 - 2018/12/20

N2 - 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.

AB - 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.

KW - networked flying platforms

KW - resilience

KW - self-organizing networks

KW - machine learning

KW - blockchain

U2 - 10.1109/PIMRC.2018.8580944

DO - 10.1109/PIMRC.2018.8580944

M3 - Conference contribution

T3 - IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

SP - 1155

EP - 1156

BT - IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

PB - IEEE

CY - Piscataway, NJ

T2 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

Y2 - 9 September 2018 through 12 October 2018

ER -

Resilience of airborne networks

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this