Online Trajectory Optimization for Energy-Efficient Cellular-Connected UAVs With Map Reconstruction

被引:2
作者
Zhao, Haitao [1 ]
Hao, Qing [1 ]
Huang, Hao [1 ]
Gui, Guan [1 ]
Ohtsuki, Tomoaki [2 ]
Sari, Hikmet [1 ]
Adachi, Fumiyuki [3 ]
机构
[1] Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing 210003, Peoples R China
[2] Keio Univ, Dept Informat & Comp Sci, Yokohama 2238522, Japan
[3] Tohoku Univ, Int Res Inst Disaster Sci IRIDeS, Sendai 9808577, Japan
关键词
Cellular-connected UAV; deep reinforcement learning; energy-efficient UAV; image reconstruction; radio map; trajectory design; WIRELESS NETWORKS; COMMUNICATION; DESIGN; SKY; LTE;
D O I
10.1109/TVT.2023.3323349
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this article, we leverage the outage probability knowledge map to characterize the connection between unmanned aerial vehicles (UAVs) and cellular networks. The outage probability knowledge map is a database that simulates the connection between UAV and the cellular network during real hovers, which helps to enhance the UAV's awareness of the environment and reduce the connection interruption under complex real-time channel state information. We assume that the UAV roughly samples from the actual radio environment of the airspace in advance, and calculates the outage probability of the sampled points. After that, the UAV reconstructs the actual outage knowledge map, and flies in the airspace to learn the optimal UAV trajectory planning policy based on the reconstructed map. The optimization objective is to minimize the flight energy cost of the UAV performing tasks. In this article, we propose a deep image prior based radio map reconstruction (DIPRMR) method to reconstruct the map, and then propose a deep reinforcement learning based trajectory optimization algorithm. The UAV that performs the task adjusts the flight trajectory based on the outage probability knowledge obtained from the reconstructed complete map. Simulation results show that the proposed online trajectory optimization scheme based on outage probability knowledge map can obtain great returns in terms of maintaining connectivity, reducing task completion time and energy consumption.
引用
收藏
页码:3445 / 3456
页数:12
相关论文
共 50 条
[41]   Design of Anti-Interference Path Planning for Cellular-Connected UAVs Based on Improved DDPG [J].
Zhou, Quanxi ;
Wang, Yongjing .
PROCEEDINGS OF THE 2024 IEEE 10TH IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE AND SMART COMPUTING, HPSC 2024, 2024, :71-76
[42]   Energy-Efficient Trajectory Optimization for UAV-Enabled Cellular Communications Based on Physical-Layer Security [J].
Yuan, Ziwei ;
Yang, Yanping ;
Wang, Dong ;
Ma, Xiaoping .
AEROSPACE, 2022, 9 (02)
[43]   AoI-Optimal Cellular-Connected UAV Trajectory Planning for IoT Data Collection [J].
Chapnevis, Amirahmad ;
Bulut, Eyuphan .
2023 IEEE 48TH CONFERENCE ON LOCAL COMPUTER NETWORKS, LCN 2023, 2023,
[44]   Energy-efficient trajectory design of UAV and resource optimization for data collection [J].
Guo, Shaoxiong ;
Song, Zhiqun ;
Li, Yong ;
Liu, Lizhe ;
Wang, Bin .
Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2024, 56 (09) :48-55
[45]   Energy-Efficient Optimization for UAV-Aided Cellular Offloading [J].
Hua, Meng ;
Wang, Yi ;
Li, Chunguo ;
Huang, Yongming ;
Yang, Luxi .
IEEE WIRELESS COMMUNICATIONS LETTERS, 2019, 8 (03) :769-772
[46]   Trajectory design of cellular-connected UAV patrol and mobile edge computing system: A deep reinforcement learning approach [J].
Wang, Zhijie ;
Zhang, Wei ;
Yang, Dingcheng ;
Wu, Fahui ;
Xu, Yu ;
Xiao, Lin .
COMPUTER NETWORKS, 2025, 268
[47]   Energy-Efficient UAV-Enabled MEC System: Bits Allocation Optimization and Trajectory Design [J].
Li, Linpei ;
Wen, Xiangming ;
Lu, Zhaoming ;
Pan, Qi ;
Jing, Wenpeng ;
Hu, Zhiqun .
SENSORS, 2019, 19 (20)
[48]   Energy-Efficient Multi-UAVs Deployment and Movement for Emergency Response [J].
Li, Linpei ;
Wen, Xiangming ;
Lu, Zhaoming ;
Jing, Wenpeng ;
Zhang, Haijun .
IEEE COMMUNICATIONS LETTERS, 2021, 25 (05) :1625-1629
[49]   Energy-Efficient Symbiotic Cellular-UAV Communication via aerial RIS: Joint Trajectory Design and Resource Optimization [J].
Jin, Ning ;
Liao, Yating ;
Yang, Gang ;
Liang, Ying-Chang ;
Chen, Xiaodong .
2022 IEEE 96TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-FALL), 2022,
[50]   Energy-Efficient Information Placement and Delivery Using UAVs [J].
Al-Habob, Ahmed A. ;
Dobre, Octavia A. ;
Muhaidat, Sami ;
Poor, H. Vincent .
IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (01) :357-366