H. Kim et al., "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), Kalamata, 2018, 8445906. doi:10.1109/SPAWC.2017.8227644
Massive UAV-to-ground communication and its stable movement control : a mean-field approach
|Author:||Kim, Hyesung1; Park, Jihong2; Bennis, Mehdi2;|
1Yonsei University, School of Electrical and Electronic Engineering
2University of Oulu, Centre for Wireless Communications
|Online Access:||PDF Full Text (PDF, 0.9 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018112048598
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-11-20
This paper proposes a real-time movement control algorithm for massive unmanned aerial vehicles (UAVs) that provide emergency cellular connections in an urban disaster site. While avoiding the inter-UAV collision 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.
IEEE International Workshop on Signal Processing Advances in Wireless Communications
2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
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.
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