معرفی
Dr. Xiaopeng Yuan serves as a Researcher at the Chair of Information Theory and Data Analytics within the Faculty of Electrical Engineering and Information Technology at RWTH Aachen University, Germany. His work focuses on advancing UAV-assisted wireless communication systems and energy transfer mechanisms, with publications appearing in top-tier IEEE journals and conferences since 2019.
His research centers on UAV trajectory optimization, wireless power transfer (WPT), finite blocklength (FBL) communications, and resource allocation for ultra-reliable low-latency communication (URLLC) systems. Key contributions include modeling nonlinear energy harvesting in UAV networks, developing covert communication techniques under detection constraints, and optimizing multi-UAV coordination for data collection and power transfer efficiency. His methodology frequently combines analytical optimization with deep reinforcement learning for complex network scenarios.
Analysis of his 15 most recent publications (2024-2025) reveals three dominant research thrusts: (1) UAV path planning for energy-constrained networks emphasizing 3D trajectory optimization and directional antenna integration; (2) Finite blocklength regime analysis for short-packet communications in URLLC and WPT systems; (3) Security-aware resource allocation for covert data collection and secrecy throughput maximization. His work consistently addresses practical implementation challenges like nonlinear energy harvesting and no-fly zones.
