Aerial-Terrestrial Network NOMA for Cellular-Connected UAVs

Networked UAVs as aerial sensor network for disaster management applications

Advances in control engineering and material science made it possible to develop small-scale unmanned aerial vehicles (UAVs) equipped with cameras and sensors. These UAVs enable us to obtain a bird’s eye view of the environment. Having access to an aerial view over large areas is helpful in disaster situations, where often only incomplete and inconsistent information is available to the rescue ...

Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management

Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management Ursula Challita∗, Walid Saad†, and Christian Bettstetter‡ ∗School of Informatics, The University of Edinburgh, Edinburgh, UK. Email: [email protected]. †Wireless@VT, Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA. Email: [email protected]. ‡Alpen-Adria-Unive...

A Situational Awareness Tool For Unmanned Aerial Vehicles (UAVs)

Self-Organising UAVs for Wide Area Fault-tolerant Aerial Monitoring

This paper describes an algorithm for the coordination of a flock of multirotor UAVs which cooperate in performing a wide area monitoring mission. The key characteristics of the proposed approach are the self-organising ability and the decentralisation. The flock has the basic task of covering a certain area of terrain and is able to self-organise in order to (i) find a coverage of the area whi...

AERIAL: hypothetical trajectory planning for multi-UAVs coordination and control

This paper presents a distributed application namedAERIAL which allows coordination and control of multiple Unmanned Aerial Vehicles (UAVs) engaged in temporally constrained missions. This application combines multiagent paradigm and trajectory planning techniques and relies on a coordination model taking both deliberation and planning durations into account.