UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach

1 July 2020

Papers citing "UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach"

8 / 8 papers shown

Title
ARDDQN: Attention Recurrent Double Deep Q-Network for UAV Coverage Path Planning and Data Harvesting Praveen Kumar Priyadarshni R. Misra 29 0 0 17 May 2024
Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning Mirco Theile Harald Bayerlein Marco Caccamo Alberto L. Sangiovanni-Vincentelli 29 5 0 06 Sep 2023
Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks Riccardo Marini Sangwoo Park Osvaldo Simeone C. Buratti 48 7 0 13 Jul 2022
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks Omid Esrafilian Harald Bayerlein David Gesbert 16 6 0 21 Apr 2021
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning Harald Bayerlein Mirco Theile Marco Caccamo David Gesbert 29 120 0 23 Oct 2020
A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence Qingqing Wu Jie Xu Yong Zeng Derrick Wing Kwan Ng N. Al-Dhahir R. Schober A. L. Swindlehurst 37 352 0 19 Oct 2020
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning Yong Zeng Xiaoli Xu Shi Jin Rui Zhang 9 164 0 17 Mar 2020
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning Mirco Theile Harald Bayerlein R. Nai David Gesbert Marco Caccamo 19 84 0 05 Mar 2020