Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach

Hyesung Kim; Jihong Park; Mehdi Bennis; Seong Lyun Kim

doi:10.1109/SPAWC.2018.8445906

Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach

Hyesung Kim, Jihong Park, Mehdi Bennis, Seong Lyun Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 Citations (Scopus)

Abstract

This paper proposes a real-time movement control algorithm for massive unmanned aerial vehicles (UAV s) that provide emergency cellular connections in an urban disaster site. While avoiding the inter-Uavcollision under temporal wind dynamics, the proposed algorithm minimizes each UAV's energy consumption per unit downlink rate. By means of a mean-field game theoretic flocking approach, the velocity control of each UAV only requires its own location and channel states. Numerical results validate the performance of the algorithm in terms of the number of collisions and energy consumption per data rate, under a realistic 3GPP UAV channel model.

Original language	English
Title of host publication	2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781538635124
DOIs	https://doi.org/10.1109/SPAWC.2018.8445906
Publication status	Published - 2018 Aug 24
Event	19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018 - Kalamata, Greece Duration: 2018 Jun 25 → 2018 Jun 28

Publication series

Name	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume	2018-June

Other

Other	19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
Country	Greece
City	Kalamata
Period	18/6/25 → 18/6/28

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT This research was supported in part by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science and ICT(NRF-2017R1A2A2A05069810), in part by the Academy of Finland project CARMA, in part by the INFOTECH project NOOR, and in part by the Kvantum Institute strategic project SAFARI.

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Computer Science Applications
Information Systems

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

Access to Document

10.1109/SPAWC.2018.8445906

Fingerprint Dive into the research topics of 'Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach'. Together they form a unique fingerprint.

Cite this

Kim, H., Park, J., Bennis, M., & Kim, S. L. (2018). Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach. In 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018 [8445906] (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Vol. 2018-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPAWC.2018.8445906

Kim, Hyesung ; Park, Jihong ; Bennis, Mehdi ; Kim, Seong Lyun. / Massive UAV-to-Ground Communication and its Stable Movement Control : A Mean-Field Approach. 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC).

@inproceedings{1de71e339e664be5ae26244fc0245fa2,

title = "Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach",

abstract = "This paper proposes a real-time movement control algorithm for massive unmanned aerial vehicles (UAV s) that provide emergency cellular connections in an urban disaster site. While avoiding the inter-Uavcollision under temporal wind dynamics, the proposed algorithm minimizes each UAV's energy consumption per unit downlink rate. By means of a mean-field game theoretic flocking approach, the velocity control of each UAV only requires its own location and channel states. Numerical results validate the performance of the algorithm in terms of the number of collisions and energy consumption per data rate, under a realistic 3GPP UAV channel model.",

author = "Hyesung Kim and Jihong Park and Mehdi Bennis and Kim, {Seong Lyun}",

note = "Funding Information: ACKNOWLEDGEMENT This research was supported in part by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science and ICT(NRF-2017R1A2A2A05069810), in part by the Academy of Finland project CARMA, in part by the INFOTECH project NOOR, and in part by the Kvantum Institute strategic project SAFARI. Publisher Copyright: {\textcopyright} 2018 IEEE.; 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018 ; Conference date: 25-06-2018 Through 28-06-2018",

year = "2018",

month = aug,

day = "24",

doi = "10.1109/SPAWC.2018.8445906",

language = "English",

isbn = "9781538635124",

series = "IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018",

address = "United States",

}

Kim, H, Park, J, Bennis, M & Kim, SL 2018, Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach. in 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018., 8445906, IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, vol. 2018-June, Institute of Electrical and Electronics Engineers Inc., 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018, Kalamata, Greece, 18/6/25. https://doi.org/10.1109/SPAWC.2018.8445906

Massive UAV-to-Ground Communication and its Stable Movement Control : A Mean-Field Approach. / Kim, Hyesung; Park, Jihong; Bennis, Mehdi; Kim, Seong Lyun.

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8445906 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Vol. 2018-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Massive UAV-to-Ground Communication and its Stable Movement Control

T2 - 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018

AU - Kim, Hyesung

AU - Park, Jihong

AU - Bennis, Mehdi

AU - Kim, Seong Lyun

N1 - Funding Information: ACKNOWLEDGEMENT This research was supported in part by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science and ICT(NRF-2017R1A2A2A05069810), in part by the Academy of Finland project CARMA, in part by the INFOTECH project NOOR, and in part by the Kvantum Institute strategic project SAFARI. Publisher Copyright: © 2018 IEEE.

PY - 2018/8/24

Y1 - 2018/8/24

N2 - This paper proposes a real-time movement control algorithm for massive unmanned aerial vehicles (UAV s) that provide emergency cellular connections in an urban disaster site. While avoiding the inter-Uavcollision under temporal wind dynamics, the proposed algorithm minimizes each UAV's energy consumption per unit downlink rate. By means of a mean-field game theoretic flocking approach, the velocity control of each UAV only requires its own location and channel states. Numerical results validate the performance of the algorithm in terms of the number of collisions and energy consumption per data rate, under a realistic 3GPP UAV channel model.

AB - This paper proposes a real-time movement control algorithm for massive unmanned aerial vehicles (UAV s) that provide emergency cellular connections in an urban disaster site. While avoiding the inter-Uavcollision under temporal wind dynamics, the proposed algorithm minimizes each UAV's energy consumption per unit downlink rate. By means of a mean-field game theoretic flocking approach, the velocity control of each UAV only requires its own location and channel states. Numerical results validate the performance of the algorithm in terms of the number of collisions and energy consumption per data rate, under a realistic 3GPP UAV channel model.

UR - http://www.scopus.com/inward/record.url?scp=85053440280&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85053440280&partnerID=8YFLogxK

U2 - 10.1109/SPAWC.2018.8445906

DO - 10.1109/SPAWC.2018.8445906

M3 - Conference contribution

AN - SCOPUS:85053440280

SN - 9781538635124

T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

BT - 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 25 June 2018 through 28 June 2018

ER -

Kim H, Park J, Bennis M, Kim SL. Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach. In 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8445906. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). https://doi.org/10.1109/SPAWC.2018.8445906

Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach

Abstract

Publication series

Other

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

Other files and links

Cite this