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AuthorDabiri, Mohammad Taghi
AuthorHasna, Mazen
AuthorSaad, Walid
Available date2024-06-11T04:44:11Z
Publication Date2023
Publication NameIEEE Transactions on Vehicular Technology
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/TVT.2022.3231349
ISSN0018-9545
URIhttp://hdl.handle.net/10576/55997
AbstractIn this paper, an unmanned aerial vehicles (UAV)-based heterogeneous network is studied to solve the problem of transferring massive traffic of distributed small cells to the core network. First, a detailed three-dimensional (3D) model of the downlink channel is characterized by taking into account the real antenna pattern, UAVs' vibrations, random distribution of small cell base stations (SBSs), and the position of UAVs in 3D space. Then, a rigorous analysis of interference is performed for two types of interference: intra-cell interference and inter-cell interference. The interference analysis results are then used to derive an upper bound of outage probability on the considered system. Using numerical results show that the analytical and simulation results match one another. The results show that, in the presence of UAV's fluctuations, optimizing radiation pattern shape requires balancing an inherent tradeoff between increasing pattern gain to reduce the interference as well as to compensate large path loss at mmWave frequencies and decreasing it to alleviate the adverse effect of a UAV's vibrations.
SponsorThe work of Mohammad Taghi Dabiri and Mazen Hasna was supported by Qatar National Research Fund (QNRF) under Grant NPRP13S-0130-200200. The work of Walid Saad was supported by U.S. National Science Foundation under Grant CNS-1836802.
Languageen
PublisherIEEE
SubjectAntenna pattern
backhaul/fronthaul links
interference
mmWave communication
small cell networks
unmanned aerial vehicles (UAVs)
TitleDownlink Interference Analysis of UAV-Based mmWave Fronthaul for Small Cell Networks
TypeArticle
Pagination5560-5575
Issue Number5
Volume Number72
dc.accessType Abstract Only


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