Yingxuan Peng

National University of Defense Technology, Changsha University

Papers

Total Citations

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About

Yingxuan Peng is a researcher focused on the intersection of unmanned aerial vehicle (UAV) communications and robotics, with key contributions in wireless network optimization and autonomous motion planning. Their work addresses critical challenges in urban environments, where obstacles create complex line-of-sight and non-line-of-sight propagation conditions. Peng’s most cited paper, “Placement Optimization for UAV-Enabled Wireless Networks with Multi-Hop Backhauls in Urban Environments” (2022, 7 citations), pioneers strategies for deploying UAVs as relays to connect ground robots with remote base stations, enhancing data access in surveillance and search missions. Another notable work, “Joint Communication-Motion Planning for UAV Relaying in Urban Areas” (2021, 5 citations), introduces a novel framework that simultaneously optimizes communication links and UAV trajectories, accounting for both air-to-ground and air-to-air channel dynamics. These contributions demonstrate Peng’s impact in enabling reliable, real-time wireless connectivity for autonomous systems operating in cluttered settings—a vital step toward practical drone-assisted emergency response and infrastructure monitoring. With growing recognition in the field, Peng’s research bridges communication theory and robotics, offering actionable solutions for next-generation networked UAV systems.