Xiaoye Jing


Miss Xiaoye Jing studied Network Engineering from Harbin University of Science and Technology China since 2013, where her final year project was spectrum sensing technology for cognitive radio. She also earned the 1st place during undergraduate period. She studied for master degree in Harbin Institute of Technology China since 2017. Her research focus on resource allocation in satellite communication system. She has published two journal and one conference papers on these topics. In July 2019, she joined University College London (UCL) in UK, as an early stage researcher for the European ITN Project PAINLESS, for which she will work on the topic of UAV communication network. 


Research updates – Period 1

Her recent completed work focused on energy aware UAV (unmanned aerial vehicle) trajectory optimization techniques for improving UAV communication coverage performance (Fig.1). I researched on some methods to let the UAV covers as many users as possible, under constraints of limited onboard energy. Since the problem formulation was complex and specifically, there were coupling constraints which cannot be solved directly. We exploited a penalty decomposition method and used convex optimization techniques to reformulate the optimization formulation into a new form and then address them. We can discover that how the UAV energy consumption will be influenced by UAV flying parameters, and how the coverage performance will be affected by the limited UAV energy. Her current work aims at UAV trajectory design in joint target localization and communication system. In this system, UAVs are dispatched both as aerial base stations and localization sensors. We optimize the UAV trajectory to improve ground targets localization accuracy, as well as meet the ground users communication demands.




Christos Masouros,

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