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Analyzing Effects of Directionality and Random Heights in Drone-based mmWave Communication

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Analyzing Effects of Directionality and Random Heights in Drone-based mmWave Communication. / Kovalchukov, Roman; Moltchanov, Dmitri; Samuylov, Andrey; Ometov, Aleksandr; Andreev, Sergey; Koucheryavy, Yevgeni; Samouylov, Konstantin.

In: IEEE Transactions on Vehicular Technology, Vol. 67, No. 10, 10.2018, p. 10064-10069.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Kovalchukov, R, Moltchanov, D, Samuylov, A, Ometov, A, Andreev, S, Koucheryavy, Y & Samouylov, K 2018, 'Analyzing Effects of Directionality and Random Heights in Drone-based mmWave Communication', IEEE Transactions on Vehicular Technology, vol. 67, no. 10, pp. 10064-10069. https://doi.org/10.1109/TVT.2018.2857215

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Author

Kovalchukov, Roman ; Moltchanov, Dmitri ; Samuylov, Andrey ; Ometov, Aleksandr ; Andreev, Sergey ; Koucheryavy, Yevgeni ; Samouylov, Konstantin. / Analyzing Effects of Directionality and Random Heights in Drone-based mmWave Communication. In: IEEE Transactions on Vehicular Technology. 2018 ; Vol. 67, No. 10. pp. 10064-10069.

Bibtex - Download

@article{a4d76e3b44f5470ab3a60a0159f38249,
title = "Analyzing Effects of Directionality and Random Heights in Drone-based mmWave Communication",
abstract = "Utilization of drones as aerial access points (AAPs) is a promising concept to enhance network coverage and area capacity promptly and on demand. The emerging millimeter-wave (mmWave) communication technology may in principle deliver higher data rates, thus making the use of AAPs more effective. By extending the conventional (planar) stochastic geometry considerations, we construct a novel three-dimensional model for drone-based mmWave communication that captures the high directionality of transmissions as well as the random heights of the communicating entities. Choosing signal-to-interference ratio (SIR) as our primary parameter of interest, we assess system performance with an emphasis on the impact of the ‘vertical’ dimension in aerial mmWave connectivity. We also demonstrate that accurate performance assessment is only possible with simplified models for certain ranges of input parameters.",
keywords = "Antenna radiation patterns, Atmospheric modeling, Drones, Geometry, Interference, Transmitting antennas",
author = "Roman Kovalchukov and Dmitri Moltchanov and Andrey Samuylov and Aleksandr Ometov and Sergey Andreev and Yevgeni Koucheryavy and Konstantin Samouylov",
note = "INT=elt,{"}Kovalchukov, Roman{"}",
year = "2018",
month = "10",
doi = "10.1109/TVT.2018.2857215",
language = "English",
volume = "67",
pages = "10064--10069",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
publisher = "Institute of Electrical and Electronics Engineers",
number = "10",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Analyzing Effects of Directionality and Random Heights in Drone-based mmWave Communication

AU - Kovalchukov, Roman

AU - Moltchanov, Dmitri

AU - Samuylov, Andrey

AU - Ometov, Aleksandr

AU - Andreev, Sergey

AU - Koucheryavy, Yevgeni

AU - Samouylov, Konstantin

N1 - INT=elt,"Kovalchukov, Roman"

PY - 2018/10

Y1 - 2018/10

N2 - Utilization of drones as aerial access points (AAPs) is a promising concept to enhance network coverage and area capacity promptly and on demand. The emerging millimeter-wave (mmWave) communication technology may in principle deliver higher data rates, thus making the use of AAPs more effective. By extending the conventional (planar) stochastic geometry considerations, we construct a novel three-dimensional model for drone-based mmWave communication that captures the high directionality of transmissions as well as the random heights of the communicating entities. Choosing signal-to-interference ratio (SIR) as our primary parameter of interest, we assess system performance with an emphasis on the impact of the ‘vertical’ dimension in aerial mmWave connectivity. We also demonstrate that accurate performance assessment is only possible with simplified models for certain ranges of input parameters.

AB - Utilization of drones as aerial access points (AAPs) is a promising concept to enhance network coverage and area capacity promptly and on demand. The emerging millimeter-wave (mmWave) communication technology may in principle deliver higher data rates, thus making the use of AAPs more effective. By extending the conventional (planar) stochastic geometry considerations, we construct a novel three-dimensional model for drone-based mmWave communication that captures the high directionality of transmissions as well as the random heights of the communicating entities. Choosing signal-to-interference ratio (SIR) as our primary parameter of interest, we assess system performance with an emphasis on the impact of the ‘vertical’ dimension in aerial mmWave connectivity. We also demonstrate that accurate performance assessment is only possible with simplified models for certain ranges of input parameters.

KW - Antenna radiation patterns

KW - Atmospheric modeling

KW - Drones

KW - Geometry

KW - Interference

KW - Transmitting antennas

U2 - 10.1109/TVT.2018.2857215

DO - 10.1109/TVT.2018.2857215

M3 - Article

VL - 67

SP - 10064

EP - 10069

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 10

ER -