UAV Trajectory and Phase Shift Design for IRS-Assisted UAV Data Collection: A Deep Reinforcement Learning Approach

Zhandong Wang; Liang Peng; Jinling Han; Xiaoxiang Wang

doi:10.1007/978-981-99-7502-0_46

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UAV Trajectory and Phase Shift Design for IRS-Assisted UAV Data Collection: A Deep Reinforcement Learning Approach

Zhandong Wang Liang Peng Jinling Han Xiaoxiang Wang

Year: 2024 Lecture notes in electrical engineering Pages: 419-426 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-7502-0_46

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Keywords:

Reinforcement learning Trajectory Computer science Artificial intelligence Data collection Phase (matter) Reinforcement Engineering Mathematics Physics Statistics Structural engineering

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UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Advanced Wireless Communication Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

Distributed Control Multi-Agent Systems

Physical Sciences → Computer Science → Computer Networks and Communications

UAV Trajectory and Phase Shift Design for IRS-Assisted UAV Data Collection: A Deep Reinforcement Learning Approach

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