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Flexible Spectrum Management in a Smart City within Licensed Shared Access Framework

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Flexible Spectrum Management in a Smart City within Licensed Shared Access Framework. / Markova, Ekaterina; Gudkova, Irina; Ometov, Aleksandr; Dzantiev, Ilya; Andreev, Sergey; Koucheryavy, Yevgeni; Samouylov, Konstantin.

In: IEEE Access, Vol. 5, 2017, p. 22252-22261.

Research output: Contribution to journalArticleScientificpeer-review

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Markova, Ekaterina ; Gudkova, Irina ; Ometov, Aleksandr ; Dzantiev, Ilya ; Andreev, Sergey ; Koucheryavy, Yevgeni ; Samouylov, Konstantin. / Flexible Spectrum Management in a Smart City within Licensed Shared Access Framework. In: IEEE Access. 2017 ; Vol. 5. pp. 22252-22261.

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@article{4326116751cd4b0d9bc657054d67dcb1,
title = "Flexible Spectrum Management in a Smart City within Licensed Shared Access Framework",
abstract = "The new generation of communication technologies, named 5G, brings along a variety of emerging applications and services from both human and machine perspectives. The growing demand for bandwidth in 5G may therefore lead to massive deficiency in wireless spectrum availability despite its under-utilization in urban areas. The Smart City paradigm assumes a multitude of communicating machines at high density, which requires improved spectrum management flexibility. The novel Licensed Shared Access (LSA) framework that has attracted recent industrial and academic attention may become a feasible solution to leverage such underutilized spectrum more efficiently. This work analyzes the effects of applying LSA in the Smart City context by proposing an appropriate mathematical model. Particularly, we focus on the Vehicle-to-Everything 5G use case where connected devices attempt to distribute their sensed data including occasional video information. The proposed analytical framework allows to capture the probabilities of rare events during such operation by providing with a high level of precision in the resulting performance estimates.",
keywords = "5G mobile communication, Bandwidth, Smart cities, Throughput, Vehicle dynamics, Wireless communication, Wireless sensor networks",
author = "Ekaterina Markova and Irina Gudkova and Aleksandr Ometov and Ilya Dzantiev and Sergey Andreev and Yevgeni Koucheryavy and Konstantin Samouylov",
year = "2017",
doi = "10.1109/ACCESS.2017.2758840",
language = "English",
volume = "5",
pages = "22252--22261",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers",

}

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TY - JOUR

T1 - Flexible Spectrum Management in a Smart City within Licensed Shared Access Framework

AU - Markova, Ekaterina

AU - Gudkova, Irina

AU - Ometov, Aleksandr

AU - Dzantiev, Ilya

AU - Andreev, Sergey

AU - Koucheryavy, Yevgeni

AU - Samouylov, Konstantin

PY - 2017

Y1 - 2017

N2 - The new generation of communication technologies, named 5G, brings along a variety of emerging applications and services from both human and machine perspectives. The growing demand for bandwidth in 5G may therefore lead to massive deficiency in wireless spectrum availability despite its under-utilization in urban areas. The Smart City paradigm assumes a multitude of communicating machines at high density, which requires improved spectrum management flexibility. The novel Licensed Shared Access (LSA) framework that has attracted recent industrial and academic attention may become a feasible solution to leverage such underutilized spectrum more efficiently. This work analyzes the effects of applying LSA in the Smart City context by proposing an appropriate mathematical model. Particularly, we focus on the Vehicle-to-Everything 5G use case where connected devices attempt to distribute their sensed data including occasional video information. The proposed analytical framework allows to capture the probabilities of rare events during such operation by providing with a high level of precision in the resulting performance estimates.

AB - The new generation of communication technologies, named 5G, brings along a variety of emerging applications and services from both human and machine perspectives. The growing demand for bandwidth in 5G may therefore lead to massive deficiency in wireless spectrum availability despite its under-utilization in urban areas. The Smart City paradigm assumes a multitude of communicating machines at high density, which requires improved spectrum management flexibility. The novel Licensed Shared Access (LSA) framework that has attracted recent industrial and academic attention may become a feasible solution to leverage such underutilized spectrum more efficiently. This work analyzes the effects of applying LSA in the Smart City context by proposing an appropriate mathematical model. Particularly, we focus on the Vehicle-to-Everything 5G use case where connected devices attempt to distribute their sensed data including occasional video information. The proposed analytical framework allows to capture the probabilities of rare events during such operation by providing with a high level of precision in the resulting performance estimates.

KW - 5G mobile communication

KW - Bandwidth

KW - Smart cities

KW - Throughput

KW - Vehicle dynamics

KW - Wireless communication

KW - Wireless sensor networks

U2 - 10.1109/ACCESS.2017.2758840

DO - 10.1109/ACCESS.2017.2758840

M3 - Article

VL - 5

SP - 22252

EP - 22261

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -