Unmanned aerial vehicle (UAV) swarms must exploit machine learning (ML) in order to execute various tasks ranging from coordinated trajectory planning to cooperative target …
Y Qu, H Dai, Y Zhuang, J Chen, C Dong, F Wu… - IEEE …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs), or drones, are envisioned to support extensive applications in next-generation wireless networks in both civil and military fields …
The deployment flexibility and maneuverability of unmanned aerial vehicles (UAVs) increased their adoption in various applications, such as wildfire tracking, border monitoring …
Y Qu, H Sun, C Dong, J Kang, H Dai… - IEEE …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely used in military and civilian fields by carrying out intelligent applications with deep learning technologies, such as battlefield …
I Sharma, A Sharma, SK Gupta - 2023 Third International …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can be used to support data gathering, training of models, and wireless communication by acting as flying Base Stations (BSs). The usage of UAVs for …
The use of Unmanned Aerial Vehicles (UAVs) for wireless networks is rapidly growing as key enablers of new applications, including: surveillance and monitoring, military, delivery of …
Over the past few years, the use of swarms of Unmanned Aerial Vehicles (UAVs) in monitoring and remote area surveillance applications has become widespread thanks to the …
I Mrad, L Samara, AA Abdellatif… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches …
X Liu, Y Deng, T Mahmoodi - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Cellular-connected unmanned aerial vehicle (UAV) with flexible deployment is foreseen to be a major part of the sixth generation (6G) networks. The UAVs connected to the base …