UAV communications for 5G and beyond: Recent advances and future trends
Providing ubiquitous connectivity to diverse device types is the key challenge for 5G and
beyond 5G (B5G). Unmanned aerial vehicles (UAVs) are expected to be an important …
beyond 5G (B5G). Unmanned aerial vehicles (UAVs) are expected to be an important …
A tutorial on UAVs for wireless networks: Applications, challenges, and open problems
The use of flying platforms such as unmanned aerial vehicles (UAVs), popularly known as
drones, is rapidly growing. In particular, with their inherent attributes such as mobility …
drones, is rapidly growing. In particular, with their inherent attributes such as mobility …
Wireless network intelligence at the edge
J Park, S Samarakoon, M Bennis… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Fueled by the availability of more data and computing power, recent breakthroughs in cloud-
based machine learning (ML) have transformed every aspect of our lives from face …
based machine learning (ML) have transformed every aspect of our lives from face …
Artificial neural networks-based machine learning for wireless networks: A tutorial
In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
Beyond 5G with UAVs: Foundations of a 3D wireless cellular network
In this paper, a novel concept of three-dimensional (3D) cellular networks, that integrate
drone base stations (drone-BS) and cellular-connected drone users (drone-UEs), is …
drone base stations (drone-BS) and cellular-connected drone users (drone-UEs), is …
Reinforcement learning in multiple-UAV networks: Deployment and movement design
A novel framework is proposed for quality of experience driven deployment and dynamic
movement of multiple unmanned aerial vehicles (UAVs). The problem of joint non-convex …
movement of multiple unmanned aerial vehicles (UAVs). The problem of joint non-convex …
Federated learning for UAVs-enabled wireless networks: Use cases, challenges, and open problems
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 …
key enablers of new applications, including: surveillance and monitoring, military, delivery of …
UAV assisted 5G and beyond wireless networks: A survey
There is a huge technological advancement in the field of wireless communication in the last
few decades. Technology has revolutionized from voice communication to interactive …
few decades. Technology has revolutionized from voice communication to interactive …
Orchestrated scheduling and multi-agent deep reinforcement learning for cloud-assisted multi-UAV charging systems
This paper proposes a cloud-assisted joint charging scheduling and energy management
framework for unmanned aerial vehicle (UAV) networks. For charging the UAVs those are …
framework for unmanned aerial vehicle (UAV) networks. For charging the UAVs those are …
Analytical channel models for millimeter wave UAV networks under hovering fluctuations
The integration of unmanned aerial vehicles (UAVs) and millimeter wave (mmWave)
wireless systems has been recently proposed to provide high data rate aerial links for next …
wireless systems has been recently proposed to provide high data rate aerial links for next …