A survey on UAV placement and trajectory optimization in communication networks: From the perspective of air-to-ground channel models

Jonghyeon Won; Do Yup Kim; Young Ik Park; Jang Won Lee

doi:10.1016/j.icte.2022.01.015

A survey on UAV placement and trajectory optimization in communication networks: From the perspective of air-to-ground channel models

Jonghyeon Won, Do Yup Kim, Young Ik Park, Jang Won Lee

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Review article › peer-review

3 Citations (Scopus)

Abstract

Unmanned aerial vehicles (UAVs) have been utilized extensively in communication networks due to their versatility and maneuverability. It is also necessary to optimize their locations or trajectories. Moreover, it is important to adopt an appropriate air-to-ground (A2G) channel model that can reflect the practical environment well. In this paper, we first introduce the representative A2G channel models widely adopted in the literature and then review recent works on UAV placement and trajectory optimization from the perspective of A2G channel models. Finally, we present future research directions based on trends and lessons derived from our review of the existing studies.

Original language	English
Journal	ICT Express
DOIs	https://doi.org/10.1016/j.icte.2022.01.015
Publication status	Accepted/In press - 2022

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea (NRF), South Korea grant through the Korea Government (MSIT) under Grant 2019R1A2C2084870 , and in part by the Unmanned Vehicles Core Technology Research and Development Program, South Korea through the NRF and Unmanned Vehicle Advanced Research Center (UVARC), South Korea through the Ministry of Science and Information Communication Technologies (ICT), Republic of Korea, under Grant NRF-2020M3C1C1A02086427 .

Publisher Copyright:
© 2022 The Author(s)

All Science Journal Classification (ASJC) codes

Software
Information Systems
Hardware and Architecture
Computer Networks and Communications
Artificial Intelligence

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10.1016/j.icte.2022.01.015

Cite this

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title = "A survey on UAV placement and trajectory optimization in communication networks: From the perspective of air-to-ground channel models",

abstract = "Unmanned aerial vehicles (UAVs) have been utilized extensively in communication networks due to their versatility and maneuverability. It is also necessary to optimize their locations or trajectories. Moreover, it is important to adopt an appropriate air-to-ground (A2G) channel model that can reflect the practical environment well. In this paper, we first introduce the representative A2G channel models widely adopted in the literature and then review recent works on UAV placement and trajectory optimization from the perspective of A2G channel models. Finally, we present future research directions based on trends and lessons derived from our review of the existing studies.",

author = "Jonghyeon Won and Kim, {Do Yup} and Park, {Young Ik} and Lee, {Jang Won}",

note = "Funding Information: This work was supported in part by the National Research Foundation of Korea (NRF), South Korea grant through the Korea Government (MSIT) under Grant 2019R1A2C2084870 , and in part by the Unmanned Vehicles Core Technology Research and Development Program, South Korea through the NRF and Unmanned Vehicle Advanced Research Center (UVARC), South Korea through the Ministry of Science and Information Communication Technologies (ICT), Republic of Korea, under Grant NRF-2020M3C1C1A02086427 . Publisher Copyright: {\textcopyright} 2022 The Author(s)",

year = "2022",

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language = "English",

journal = "ICT Express",

issn = "2405-9595",

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T1 - A survey on UAV placement and trajectory optimization in communication networks

T2 - From the perspective of air-to-ground channel models

AU - Won, Jonghyeon

AU - Kim, Do Yup

AU - Park, Young Ik

AU - Lee, Jang Won

N1 - Funding Information: This work was supported in part by the National Research Foundation of Korea (NRF), South Korea grant through the Korea Government (MSIT) under Grant 2019R1A2C2084870 , and in part by the Unmanned Vehicles Core Technology Research and Development Program, South Korea through the NRF and Unmanned Vehicle Advanced Research Center (UVARC), South Korea through the Ministry of Science and Information Communication Technologies (ICT), Republic of Korea, under Grant NRF-2020M3C1C1A02086427 . Publisher Copyright: © 2022 The Author(s)

PY - 2022

Y1 - 2022

N2 - Unmanned aerial vehicles (UAVs) have been utilized extensively in communication networks due to their versatility and maneuverability. It is also necessary to optimize their locations or trajectories. Moreover, it is important to adopt an appropriate air-to-ground (A2G) channel model that can reflect the practical environment well. In this paper, we first introduce the representative A2G channel models widely adopted in the literature and then review recent works on UAV placement and trajectory optimization from the perspective of A2G channel models. Finally, we present future research directions based on trends and lessons derived from our review of the existing studies.

AB - Unmanned aerial vehicles (UAVs) have been utilized extensively in communication networks due to their versatility and maneuverability. It is also necessary to optimize their locations or trajectories. Moreover, it is important to adopt an appropriate air-to-ground (A2G) channel model that can reflect the practical environment well. In this paper, we first introduce the representative A2G channel models widely adopted in the literature and then review recent works on UAV placement and trajectory optimization from the perspective of A2G channel models. Finally, we present future research directions based on trends and lessons derived from our review of the existing studies.

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A survey on UAV placement and trajectory optimization in communication networks: From the perspective of air-to-ground channel models

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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