no code implementations • 6 Mar 2023 • Abdul Saboor, Evgenii Vinogradov, Zhuangzhuang Cui, Sofie Pollin
Using these simulators, we assess the accuracy of existing models for $\mathbf{P_{LoS}}$ estimation and examine $\mathbf{P_{LoS}}$ for different UAV heights, user-UAV distances, and azimuth/elevation angles.
no code implementations • 27 Sep 2022 • Evgenii Vinogradov, Sofie Pollin
As the number of Unmanned Aerial Vehicles (UAVs) in the airspace grows, ensuring that the aircraft do not collide becomes vital for further technology development.
no code implementations • 14 Oct 2021 • Evgenii Vinogradov, Sofie Pollin
Despite being a hot research topic for a decade, drones are still not part of our everyday life.
no code implementations • 16 Jul 2021 • Simon Bos, Evgenii Vinogradov, Sofie Pollin
Recently, deep learning is considered to optimize the end-to-end performance of digital communication systems.
no code implementations • 10 Dec 2020 • Quan Chen, Hai Zhu, Lei Yang, Xiaoqian Chen, Sofie Pollin, Evgenii Vinogradov
By proposing a framework of Edge Computing Assisted Autonomous Flight (ECAAF), we illustrate that vision and communications can interact with and assist each other with the aid of edge computing and offloading, and further speed up the UAV mission completion.
Edge-computing Trajectory Planning Networking and Internet Architecture Robotics Systems and Control Systems and Control
no code implementations • 7 Oct 2020 • Achiel Colpaert, Evgenii Vinogradov, Sofie Pollin
In future drone applications fast moving unmanned aerial vehicles (UAVs) will need to be connected via a high throughput ultra reliable wireless link.