Yi Wang

Yi Wang is a Ph.D. candidate at Communications Engineering Lab, where she has been working as a research assistant under the supervision of Prof. Dr.-Ing. Anja Klein since 2022. Her research addresses key challenges in dynamic and resource-constrained UAV-enabled systems, including UAV-aided sensing, communication and computation, as well as multi-functional UAVs that provides various services simultaneously. Her work focuses on the UAV’s trajectory planning and resource allocation. She has specifically explored the use of buffering to leverage the mobility of UAVs for improving the communication performance. In addition, she has studied how to leverage the spatial correlation of sensing data in UAV-aided sensing scenarios to optimize trajectory planning and enhance sensing efficiency. To address these research problems, she developed several low-complexity algorithms that achieve high performance.

1.Completion time minimization for UAV-based communications with a finite buffer 2.Sensing information maximization for UAV-aided aerial sensing by leveraging spatial correlation of sensing data 3.Digital Twin synchronization delay minimization using buffer-aided UAV 4.UAV-aided sensing and edge computing under unknown and dynamic environments