Connecting flying backhauls of drones to enhance vehicular networks with fixed 5G NR infrastructure

Philippe Jacquet, Dalia Popescu, Bernard Mans

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

Abstract

To extend connectivity and guarantee data rates, drones can be used to enhance 5G performance on mobile nodes in urban areas. To this end, we provide theoretical bounds on the requirements of connectivity extension for vehicular networks served by fixed eMBB infrastructure, where both vehicular networks and fixed telecommunication infrastructure are modeled using stochastic and fractal geometry as a macro model for urban environment, providing a unique perspective into the smart city. Namely, we prove that assuming n mobile nodes (distributed according to a hyperfractal distribution of dimension dF) and an average of ρ gNBs (distributed like an hyperfractal of dimension dr) if ρ = nθ with and letting n tending to infinity (to reflect megalopolis cities), then the average fraction of mobile nodes not covered by a gNB tends to zero like O(n -[((dF-2))/(dr)](2θ-[(dr)/2]) ). Interestingly, we then prove that the number of drones needed to connect the isolated mobile nodes is comparable to the number of isolated mobile nodes.

Original languageEnglish
Title of host publicationIEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Place of PublicationPiscataway, N. J.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages472-477
Number of pages6
ISBN (Electronic)9781728186955
DOIs
Publication statusPublished - 2020
Event2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 - Toronto, Canada
Duration: 6 Jul 20209 Jul 2020

Publication series

NameIEEE Conference on Computer Communications Workshops
PublisherIEEE
ISSN (Print)2159-4228

Conference

Conference2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Country/TerritoryCanada
CityToronto
Period6/07/209/07/20

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