Cost- and Energy-Efficient Aerial Communication Networks With Interleaved Hovering and FlyingCitation formats

Standard

Cost- and Energy-Efficient Aerial Communication Networks With Interleaved Hovering and Flying. / Babu, Nithin; Virgili, Marco; Papadias, Constantinos; Popovski, Petar; Forsyth, Andrew.

In: IEEE Transactions on Vehicular Technology, Vol. 70, No. 9, 27.07.2021, p. 9077-9087.

Research output: Contribution to journalArticlepeer-review

Harvard

Babu, N, Virgili, M, Papadias, C, Popovski, P & Forsyth, A 2021, 'Cost- and Energy-Efficient Aerial Communication Networks With Interleaved Hovering and Flying', IEEE Transactions on Vehicular Technology, vol. 70, no. 9, pp. 9077-9087. https://doi.org/10.1109/TVT.2021.3100255

APA

Babu, N., Virgili, M., Papadias, C., Popovski, P., & Forsyth, A. (2021). Cost- and Energy-Efficient Aerial Communication Networks With Interleaved Hovering and Flying. IEEE Transactions on Vehicular Technology, 70(9), 9077-9087. https://doi.org/10.1109/TVT.2021.3100255

Vancouver

Babu N, Virgili M, Papadias C, Popovski P, Forsyth A. Cost- and Energy-Efficient Aerial Communication Networks With Interleaved Hovering and Flying. IEEE Transactions on Vehicular Technology. 2021 Jul 27;70(9):9077-9087. https://doi.org/10.1109/TVT.2021.3100255

Author

Babu, Nithin ; Virgili, Marco ; Papadias, Constantinos ; Popovski, Petar ; Forsyth, Andrew. / Cost- and Energy-Efficient Aerial Communication Networks With Interleaved Hovering and Flying. In: IEEE Transactions on Vehicular Technology. 2021 ; Vol. 70, No. 9. pp. 9077-9087.

Bibtex

@article{18dc1b3ae323484892b76c8f5023399d,
title = "Cost- and Energy-Efficient Aerial Communication Networks With Interleaved Hovering and Flying",
abstract = "This work proposes a methodology for the energy-and cost-efficient 3-D deployment of an unmanned aerial vehicle (UAV)-based aerial access point (AAP), that exchanges a given amount of independent data with a set of ground user equipment (UE). Considering a fly-hover-communicate transmission scheme, the most energy-efficient 3-D hovering points (HPs) of the AAP are determined by decoupling the problem in the horizontal and vertical dimensions. First, we derive analytically the optimal hovering altitude that jointly maximizes the downlink and uplink global energy efficiency (GEE) of the system. Next, we propose the multilevel circle packing (MCP) algorithm to determine the minimal number of HPs and their associated horizontal coordinates, such that the AAP covers all the UEs in the given geographical area. A cost analysis is carried out to observe the variation of both fixed and variable costs; these are then minimized by suitably selecting the AAP's battery parameters, like the depth of discharge (DOD), defined as the portion of battery capacity that is consumed during a discharge cycle, and the velocity of the UAV. Simulation results show that: the UAV energy consumption has a significant impact on the 3-D HPs of the AAP; the time spent during the substitution swap of an out of power AAP has a major influence on the operational cost; the cost of the system can be optimized by suitably selecting the onboard battery and the UAV flight parameters.",
keywords = "3-D placement optimization, Cost-optimization, UAV communication, energy-efficiency",
author = "Nithin Babu and Marco Virgili and Constantinos Papadias and Petar Popovski and Andrew Forsyth",
note = "Funding Information: Manuscript received November 21, 2020; revised April 8, 2021 and June 13, 2021; accepted July 16, 2021. Date of publication July 27, 2021; date of current version September 17, 2021. This work was supported by the project PAINLESS which has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under Grant 812991. The review of this article was coordinated by Dr. Jung-Chieh Chen. (Corresponding author: Nithin Babu.) Nithin Babu and Constantinos B. Papadias are with the Research, Technology and Innovation Network (RTIN), Alba, The American College of Greece, Athens, Greece, and also with the Department of Electronic Systems, Aalborg University, 9220 Aalborg, Denmark (e-mail: nbabu@acg.edu; cpapadias@acg.edu). Funding Information: Thisworkwas supported by the project PAINLESS which has received funding from the European Union's Horizon 2020 research and innovation programme under Grant 812991. Publisher Copyright: {\textcopyright} 1967-2012 IEEE.",
year = "2021",
month = jul,
day = "27",
doi = "10.1109/TVT.2021.3100255",
language = "English",
volume = "70",
pages = "9077--9087",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
publisher = "IEEE",
number = "9",

}

RIS

TY - JOUR

T1 - Cost- and Energy-Efficient Aerial Communication Networks With Interleaved Hovering and Flying

AU - Babu, Nithin

AU - Virgili, Marco

AU - Papadias, Constantinos

AU - Popovski, Petar

AU - Forsyth, Andrew

N1 - Funding Information: Manuscript received November 21, 2020; revised April 8, 2021 and June 13, 2021; accepted July 16, 2021. Date of publication July 27, 2021; date of current version September 17, 2021. This work was supported by the project PAINLESS which has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant 812991. The review of this article was coordinated by Dr. Jung-Chieh Chen. (Corresponding author: Nithin Babu.) Nithin Babu and Constantinos B. Papadias are with the Research, Technology and Innovation Network (RTIN), Alba, The American College of Greece, Athens, Greece, and also with the Department of Electronic Systems, Aalborg University, 9220 Aalborg, Denmark (e-mail: nbabu@acg.edu; cpapadias@acg.edu). Funding Information: Thisworkwas supported by the project PAINLESS which has received funding from the European Union's Horizon 2020 research and innovation programme under Grant 812991. Publisher Copyright: © 1967-2012 IEEE.

PY - 2021/7/27

Y1 - 2021/7/27

N2 - This work proposes a methodology for the energy-and cost-efficient 3-D deployment of an unmanned aerial vehicle (UAV)-based aerial access point (AAP), that exchanges a given amount of independent data with a set of ground user equipment (UE). Considering a fly-hover-communicate transmission scheme, the most energy-efficient 3-D hovering points (HPs) of the AAP are determined by decoupling the problem in the horizontal and vertical dimensions. First, we derive analytically the optimal hovering altitude that jointly maximizes the downlink and uplink global energy efficiency (GEE) of the system. Next, we propose the multilevel circle packing (MCP) algorithm to determine the minimal number of HPs and their associated horizontal coordinates, such that the AAP covers all the UEs in the given geographical area. A cost analysis is carried out to observe the variation of both fixed and variable costs; these are then minimized by suitably selecting the AAP's battery parameters, like the depth of discharge (DOD), defined as the portion of battery capacity that is consumed during a discharge cycle, and the velocity of the UAV. Simulation results show that: the UAV energy consumption has a significant impact on the 3-D HPs of the AAP; the time spent during the substitution swap of an out of power AAP has a major influence on the operational cost; the cost of the system can be optimized by suitably selecting the onboard battery and the UAV flight parameters.

AB - This work proposes a methodology for the energy-and cost-efficient 3-D deployment of an unmanned aerial vehicle (UAV)-based aerial access point (AAP), that exchanges a given amount of independent data with a set of ground user equipment (UE). Considering a fly-hover-communicate transmission scheme, the most energy-efficient 3-D hovering points (HPs) of the AAP are determined by decoupling the problem in the horizontal and vertical dimensions. First, we derive analytically the optimal hovering altitude that jointly maximizes the downlink and uplink global energy efficiency (GEE) of the system. Next, we propose the multilevel circle packing (MCP) algorithm to determine the minimal number of HPs and their associated horizontal coordinates, such that the AAP covers all the UEs in the given geographical area. A cost analysis is carried out to observe the variation of both fixed and variable costs; these are then minimized by suitably selecting the AAP's battery parameters, like the depth of discharge (DOD), defined as the portion of battery capacity that is consumed during a discharge cycle, and the velocity of the UAV. Simulation results show that: the UAV energy consumption has a significant impact on the 3-D HPs of the AAP; the time spent during the substitution swap of an out of power AAP has a major influence on the operational cost; the cost of the system can be optimized by suitably selecting the onboard battery and the UAV flight parameters.

KW - 3-D placement optimization

KW - Cost-optimization

KW - UAV communication

KW - energy-efficiency

U2 - 10.1109/TVT.2021.3100255

DO - 10.1109/TVT.2021.3100255

M3 - Article

VL - 70

SP - 9077

EP - 9087

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 9

ER -