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.
|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.|
|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
|Name||IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC|
|Other||19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018|
|Period||18/6/25 → 18/6/28|
Bibliographical noteFunding 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.
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Computer Science Applications
- Information Systems