Volume 31 Issue 3
May  2022
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HUANG Fei, LI Guangxia, WANG Haichao, et al., “Navigation for UAV Pair-Supported Relaying in Unknown IoT Systems with Deep Reinforcement Learning,” Chinese Journal of Electronics, vol. 31, no. 3, pp. 416-429, 2022, doi: 10.1049/cje.2021.00.305
Citation: HUANG Fei, LI Guangxia, WANG Haichao, et al., “Navigation for UAV Pair-Supported Relaying in Unknown IoT Systems with Deep Reinforcement Learning,” Chinese Journal of Electronics, vol. 31, no. 3, pp. 416-429, 2022, doi: 10.1049/cje.2021.00.305

Navigation for UAV Pair-Supported Relaying in Unknown IoT Systems with Deep Reinforcement Learning

doi: 10.1049/cje.2021.00.305
Funds:  This work was supported by the National Natural Science Foundation of China (61931011, 61901520, U20B2038, 61871398) and the Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province (BK20190030)
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  • Author Bio:

    received the B.S. degree and the M.S. degree in communication engineering from College of Communications Engineering, Nanjing, China, in 2014 and 2019, respectively. She is currently pursuing the Ph.D. degree in information and communication engineering in College of Communications Engineering. Her research interests focus on navigation and positioning, resource allocation, and UAV communications. (Email: huangfeicjh@sina.com)

    is a Professor at Army Engineering University of PLA. He received the B.S. and M.S. degrees in information and communication engineering from the Institute of Communications Engineering, Nanjing, China, in 1983 and 1988, respectively. He has been a faculty member at the Institute of Communications Engineering since 1983. He is currently a Professor and the Director of the Key Laboratory of Satellite Communication. Prof. Li is a Senior Member of the Chinese Institute of Electronics. His major research interests include satellite communication theory, deep space communications, and satellite navigation. (Email: 13905177686@139.com)

    received the B.S. degree in electronic engineering, and Ph.D. degree in communications and information systems from the College of Communications Engineering, Army Engineering University of PLA, in 2014 and 2019, respectively. His research interests focus on UAV communications, interference mitigation techniques, green communications, and convex optimization techniques. (Email: whcwl10919@sina.com)

    (corresponding author) received the B.S. degree in electronic information engineering from Xidian University, Xi’an, in 2008, and the M.S and Ph.D. degrees in communication and information system from Army Engineering University of PLA, Nanjing, in 2011 and 2015, respectively. Since 2015, he has been an Assistant Professor with the College of Communications Engineering, Army Engineering University of PLA. Since 2021, he has worked in National Innovation Institute of Defense Technology. His main research interests are satellite navigation, satellite communication, and cooperative positioning. (Email: tianxwell@163.com)

    received the B.E. and Ph.D. degrees in communication and information engineering from the PLA University of Science and Technology (PLA UST), China, in 2005 and 2011 respectively. Since July 2012, she has been working as a teacher and researcher at Communication Engineering Department of PLA UST. Her current research interests focus on UAV-assisted communication, multiantenna transceiver optimization, dynamic spectrum sharing and power allocation in cognitive radio, and other wireless communication related topics. (Email: sheep1009@163.com)

    received the B.S. degree and the M.S. degree in communication engineering from College of Communications Engineering, Nanjing, China, in 2014 and 2019, respectively. His research interests focus on satellite communications. (Email: littlelark33@163.com)

  • Received Date: 2021-08-26
  • Accepted Date: 2022-02-08
  • Available Online: 2022-03-07
  • Publish Date: 2022-05-05
  • Unmanned aerial vehicles (UAVs) have recently been regarded as a promising technology in Internet of things (IoT). UAVs functioned as intermediate relay nodes are capable of establishing uninterrupted and high-quality communication links between remotely deployed IoT devices and the destination. Multiple UAVs are required to be deployed due to their limited onboard energy. We study a UAV pair-supported relaying in unknown IoT systems, which consists of transmitter and receiver. Our goal is that transmitter gathers the data from each device then transfers the information to receiver, and receiver finally transmits the information to the destination, while meeting the constraint that the amount of information received from each device reaches a certain threshold. This is an optimization problem with highly coupled variables, such as trajectories of transmitter and receiver. On account of no prior knowledge of the environment, a dueling double deep Q network (dueling DDQN) algorithm is proposed to solve the problem. Whether it is in the phase of transmitter’s receiving information or the phase of transmitter’s forwarding information to receiver, the effectiveness and superiority of the proposed algorithm is demonstrated by extensive simulationsin in comparison to some base schemes under different scenarios.
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