TY - GEN
T1 - A Discrete-Time Mean Field Game in Multi-UAV Wireless Communication Systems
AU - Xu, Yang
AU - Li, Lixin
AU - Zhang, Zihe
AU - Xue, Kaiyuan
AU - Han, Zhu
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Unmanned aerial vehicles (UAVs) are foreseen as a promising solution to deal with sophisticated communication scenarios, which can be used as aerial mobile base stations to enhance terrestrial wireless communication systems. Due to the wide range of serviced ground users, a large number of UAVs need to be deployed. In this paper, we study a multi-UAV downlink communication system with the UAVs acting as the aerial mobile base stations, and investigate the probability of successful transmission between the UAV and its served users, with consideration of both energy availability and mobility effects. We propose the optimal control law based on a discrete-Time mean field game (MFG) with power control and velocity control. Furthermore, the optimal controls generate an almost surely asymptotic Nash equilibrium according to the estimate of population state average, meaning that the long time average cost reaches its minimum. Simulation results show that the proposed control policy can effectively improve the probability of successful transmission.
AB - Unmanned aerial vehicles (UAVs) are foreseen as a promising solution to deal with sophisticated communication scenarios, which can be used as aerial mobile base stations to enhance terrestrial wireless communication systems. Due to the wide range of serviced ground users, a large number of UAVs need to be deployed. In this paper, we study a multi-UAV downlink communication system with the UAVs acting as the aerial mobile base stations, and investigate the probability of successful transmission between the UAV and its served users, with consideration of both energy availability and mobility effects. We propose the optimal control law based on a discrete-Time mean field game (MFG) with power control and velocity control. Furthermore, the optimal controls generate an almost surely asymptotic Nash equilibrium according to the estimate of population state average, meaning that the long time average cost reaches its minimum. Simulation results show that the proposed control policy can effectively improve the probability of successful transmission.
KW - asymptotic Nash equilibrium
KW - mean field game
KW - population state average
KW - unmanned aerial vehicles
UR - http://www.scopus.com/inward/record.url?scp=85063097454&partnerID=8YFLogxK
U2 - 10.1109/ICCChina.2018.8641177
DO - 10.1109/ICCChina.2018.8641177
M3 - 会议稿件
AN - SCOPUS:85063097454
T3 - 2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
SP - 714
EP - 718
BT - 2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
Y2 - 16 August 2018 through 18 August 2018
ER -