TY - GEN
T1 - Energy-efficient Velocity Control for Massive Numbers of Rotary-Wing UAVs
T2 - 2020 IEEE Global Communications Conference, GLOBECOM 2020
AU - Gao, Hao
AU - Lee, Wonjun
AU - Li, Wuchen
AU - Han, Zhu
AU - Osher, Stanley
AU - Poor, H. Vincent
N1 - Funding Information:
This work was supported by the U.S. Air Force Office of Scientific Research under MURI Grant FA9550-18-1-0502. Hao Gao and Wonjun Lee share equal contributions to this paper
Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - When a disaster happens in a metropolitan area, wireless communication systems in the area are highly affected, degrading the efficiency of the search and rescue (SAR) mission. An emergency wireless network must be deployed quickly and efficiently to preserve human lives. Teams of low-altitude rotarywing unmanned aerial vehicles (UAVs) are useful as on-demand temporal wireless networks because they are generally faster to deploy, flexible to reconfigure, and able to provide good communication services with short line-of-sight links. However, rotary-wing UAVs' limited on-board batteries require that they need to recharge and reconFigure frequently during a mission. Therefore, we formulate the velocity control problem for massive numbers of rotary-wing UAVs as a Schrödinger bridge problem which can describe the frequent reconfiguration of UAVs. Then we transform it into a mean field game and solve it with the Gprox primal dual hybrid gradient (PDHG) method. Finally, we show the efficiency of our algorithm and analyze the influence of wind dynamics with numerical results.
AB - When a disaster happens in a metropolitan area, wireless communication systems in the area are highly affected, degrading the efficiency of the search and rescue (SAR) mission. An emergency wireless network must be deployed quickly and efficiently to preserve human lives. Teams of low-altitude rotarywing unmanned aerial vehicles (UAVs) are useful as on-demand temporal wireless networks because they are generally faster to deploy, flexible to reconfigure, and able to provide good communication services with short line-of-sight links. However, rotary-wing UAVs' limited on-board batteries require that they need to recharge and reconFigure frequently during a mission. Therefore, we formulate the velocity control problem for massive numbers of rotary-wing UAVs as a Schrödinger bridge problem which can describe the frequent reconfiguration of UAVs. Then we transform it into a mean field game and solve it with the Gprox primal dual hybrid gradient (PDHG) method. Finally, we show the efficiency of our algorithm and analyze the influence of wind dynamics with numerical results.
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U2 - 10.1109/GLOBECOM42002.2020.9322391
DO - 10.1109/GLOBECOM42002.2020.9322391
M3 - Conference contribution
AN - SCOPUS:85100435654
T3 - 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
BT - 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 December 2020 through 11 December 2020
ER -