Cognition in UAV-aided 5G and beyond communications: A survey
In recent years, unmanned aerial vehicles (UAVs) have attained significant interest in
different applications including aerial surveillance, providing wireless coverage, precision …
different applications including aerial surveillance, providing wireless coverage, precision …
AI-enabled UAV communications: Challenges and future directions
Recently, unmanned aerial vehicles (UAVs) communications gained significant
concentration as a talented technology for future wireless communications using its …
concentration as a talented technology for future wireless communications using its …
UAV-assisted RIS for future wireless communications: A survey on optimization and performance analysis
Reconfigurable intelligent surfaces (RIS), a device made of low-cost meta-surfaces that can
reflect or refract the signals in the desired manner, have the immense ability to enhance the …
reflect or refract the signals in the desired manner, have the immense ability to enhance the …
A survey on machine-learning techniques for UAV-based communications
Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless
communication networks. Their adoption in various communication-based applications is …
communication networks. Their adoption in various communication-based applications is …
Multi-agent deep reinforcement learning for secure UAV communications
In this paper, we investigate a multi-unmanned aerial vehicle (UAV) cooperation mechanism
for secure communications, where the UAV transmitter moves around to serve the multiple …
for secure communications, where the UAV transmitter moves around to serve the multiple …
Energy minimization for cellular-connected UAV: From optimization to deep reinforcement learning
Cellular-connected unmanned aerial vehicles (UAVs) are expected to become integral
components of future cellular networks. To this end, one of the important problems to …
components of future cellular networks. To this end, one of the important problems to …
Deep reinforcement learning for trajectory path planning and distributed inference in resource-constrained UAV swarms
The deployment flexibility and maneuverability of unmanned aerial vehicles (UAVs)
increased their adoption in various applications, such as wildfire tracking, border monitoring …
increased their adoption in various applications, such as wildfire tracking, border monitoring …
Reinforcement learning for energy-efficient trajectory design of UAVs
Integrating unmanned aerial vehicles (UAVs) as aerial base stations (BSs) into terrestrial
cellular networks has emerged as an effective solution to provide coverage and complement …
cellular networks has emerged as an effective solution to provide coverage and complement …
Cellular-connected UAVs over 5G: Deep reinforcement learning for interference management
In this paper, an interference-aware path planning scheme for a network of cellular-
connected unmanned aerial vehicles (UAVs) is proposed. In particular, each UAV aims at …
connected unmanned aerial vehicles (UAVs) is proposed. In particular, each UAV aims at …
A comprehensive overview on 5G-and-beyond networks with UAVs: From communications to sensing and intelligence
Due to the advancements in cellular technologies and the dense deployment of cellular
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …