Deep reinforcement learning for collaborative edge computing in vehicular networks
Mobile edge computing (MEC) is a promising technology to support mission-critical
vehicular applications, such as intelligent path planning and safety applications. In this …
vehicular applications, such as intelligent path planning and safety applications. In this …
Satellite-terrestrial integrated edge computing networks: Architecture, challenges, and open issues
STN has been considered a novel network architecture to accommodate a variety of
services and applications in future networks. Being a promising paradigm, MEC has been …
services and applications in future networks. Being a promising paradigm, MEC has been …
Optimizing computation offloading in satellite-UAV-served 6G IoT: A deep learning approach
Satellite networks can provide Internet of Things (IoT) devices in remote areas with
seamless coverage and downlink multicast transmissions. However, the large transmission …
seamless coverage and downlink multicast transmissions. However, the large transmission …
Ppo2: Location privacy-oriented task offloading to edge computing using reinforcement learning for intelligent autonomous transport systems
AI-empowered 5G/6G networks play a substantial role in taking full advantage of the Internet
of Things (IoT) to perform complex computing by offloading tasks to edge services deployed …
of Things (IoT) to perform complex computing by offloading tasks to edge services deployed …
LEO-satellite-assisted UAV: Joint trajectory and data collection for internet of remote things in 6G aerial access networks
As the sixth generation (6G) network is under research, and one important issue is the aerial
access network and terrestrial-space integration. The Internet of Remote Things (IoRT) …
access network and terrestrial-space integration. The Internet of Remote Things (IoRT) …
A gentle introduction to reinforcement learning and its application in different fields
Due to the recent progress in Deep Neural Networks, Reinforcement Learning (RL) has
become one of the most important and useful technology. It is a learning method where a …
become one of the most important and useful technology. It is a learning method where a …
SDN/NFV-empowered future IoV with enhanced communication, computing, and caching
Internet-of-Vehicles (IoV) connects vehicles, sensors, pedestrians, mobile devices, and the
Internet with advanced communication and networking technologies, which can enhance …
Internet with advanced communication and networking technologies, which can enhance …
Edge–cloud resource scheduling in space–air–ground-integrated networks for internet of vehicles
B Cao, J Zhang, X Liu, Z Sun, W Cao… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The space–air–ground-integrated network (SAGIN) can enhance the performance of the
Internet of Vehicles (IoV). However, the basic hardware differences among communication …
Internet of Vehicles (IoV). However, the basic hardware differences among communication …
Artificial intelligence powered mobile networks: From cognition to decision
Mobile networks (MNs) are anticipated to provide unprecedented opportunities to enable a
new world of connected experiences and radically shift the way people interact with …
new world of connected experiences and radically shift the way people interact with …
Deep reinforcement learning for autonomous internet of things: Model, applications and challenges
The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices
around the world, where the IoT devices collect and share information to reflect status of the …
around the world, where the IoT devices collect and share information to reflect status of the …