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

A Mean-Field Approach

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (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 languageEnglish
Title of host publication2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2018-June
ISBN (Print)9781538635124
DOIs
Publication statusPublished - 2018 Aug 24
Event19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018 - Kalamata, Greece
Duration: 2018 Jun 252018 Jun 28

Other

Other19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
CountryGreece
CityKalamata
Period18/6/2518/6/28

Fingerprint

Unmanned aerial vehicles (UAV)
Communication
Energy utilization
Velocity control
Disasters

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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 (Vol. 2018-June). [8445906] 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. Vol. 2018-June Institute of Electrical and Electronics Engineers Inc., 2018.
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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. vol. 2018-June, 8445906, 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. Vol. 2018-June Institute of Electrical and Electronics Engineers Inc., 2018. 8445906.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.

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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. Vol. 2018-June. Institute of Electrical and Electronics Engineers Inc. 2018. 8445906 https://doi.org/10.1109/SPAWC.2018.8445906