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 …
Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
What is semantic communication? A view on conveying meaning in the era of machine intelligence
In the 1940s, Claude Shannon developed the information theory focusing on quantifying the
maximum data rate that can be supported by a communication channel. Guided by this …
maximum data rate that can be supported by a communication channel. Guided by this …
Energy-efficient UAV-assisted mobile edge computing: Resource allocation and trajectory optimization
In this paper, we study unmanned aerial vehicle (UAV) assisted mobile edge computing
(MEC) with the objective to optimize computation offloading with minimum UAV energy …
(MEC) with the objective to optimize computation offloading with minimum UAV energy …
UAV-enabled secure communications by multi-agent deep reinforcement learning
Unmanned aerial vehicles (UAVs) can be employed as aerial base stations to support
communication for the ground users (GUs). However, the aerial-to-ground (A2G) channel …
communication for the ground users (GUs). However, the aerial-to-ground (A2G) channel …
Secrecy performance analysis of UAV assisted relay transmission for cognitive network with energy harvesting
The unmanned aerial vehicle (UAV) assisted transmission can significantly improve the
spectrum efficiency and coverage of the wireless communication network. The paper …
spectrum efficiency and coverage of the wireless communication network. The paper …
Path planning for UAV-mounted mobile edge computing with deep reinforcement learning
In this letter, we study an unmanned aerial vehicle (UAV)-mounted mobile edge computing
network, where the UAV executes computational tasks offloaded from mobile terminal users …
network, where the UAV executes computational tasks offloaded from mobile terminal users …
Cooperative offloading and resource management for UAV-enabled mobile edge computing in power IoT system
Y Liu, S Xie, Y Zhang - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
The lack of the computation services in remote areas motivates power Internet of Things
(IoT) to apply unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) …
(IoT) to apply unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) …
Resource allocation and trajectory design for MISO UAV-assisted MEC networks
Mobile Edge Computing (MEC) is a promising technology in the next generation network,
which provides computing services for user equipments (UEs) to reduce the task delay and …
which provides computing services for user equipments (UEs) to reduce the task delay and …
Joint resources and workflow scheduling in UAV-enabled wirelessly-powered MEC for IoT systems
This paper considers a UAV-enabled mobile edge computing (MEC) system, where a UAV
first powers the Internet of things device (IoTD) by utilizing Wireless Power Transfer (WPT) …
first powers the Internet of things device (IoTD) by utilizing Wireless Power Transfer (WPT) …