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. |
| Volume | 2018-June |
| ISBN (Print) | 9781538635124 |
| DOIs | |
| 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 |
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 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Computer Science Applications
- Information Systems
Cite this
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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 proceeding › Conference contribution
TY - GEN
T1 - Massive UAV-to-Ground Communication and its Stable Movement Control
T2 - A Mean-Field Approach
AU - Kim, Hyesung
AU - Park, Jihong
AU - Bennis, Mehdi
AU - Kim, Seong Lyun
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
SN - 9781538635124
VL - 2018-June
BT - 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -