Artificial intelligence empowered edge computing and caching for internet of vehicles
Y Dai, D Xu, S Maharjan, G Qiao… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
Recent advances in edge computing and caching have significant impacts on the
developments of vehicular networks. Nevertheless, the heterogeneous requirements of on …
developments of vehicular networks. Nevertheless, the heterogeneous requirements of on …
Joint service caching and computation offloading scheme based on deep reinforcement learning in vehicular edge computing systems
Vehicular edge computing (VEC) is a new computing paradigm that enhances vehicular
performance by introducing both computation offloading and service caching, to resource …
performance by introducing both computation offloading and service caching, to resource …
Integrated networking, caching, and computing for connected vehicles: A deep reinforcement learning approach
The developments of connected vehicles are heavily influenced by information and
communications technologies, which have fueled a plethora of innovations in various areas …
communications technologies, which have fueled a plethora of innovations in various areas …
Deep reinforcement learning for social-aware edge computing and caching in urban informatics
Empowered with urban informatics, transportation industry has witnessed a paradigm shift.
These developments lead to the need of content processing and sharing between vehicles …
These developments lead to the need of content processing and sharing between vehicles …
Toward efficient content delivery for automated driving services: An edge computing solution
Automated driving is coming with enormous potential for safer, more convenient, and more
efficient transportation systems. Besides onboard sensing, autonomous vehicles can also …
efficient transportation systems. Besides onboard sensing, autonomous vehicles can also …
Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks
Mobile Edge Computing (MEC) is a promising technology to extend the diverse services to
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …
Intelligent edge computing in internet of vehicles: A joint computation offloading and caching solution
Recently, Internet of Vehicles (IoV) has become one of the most active research fields in
both academic and industry, which exploits resources of vehicles and Road Side Units …
both academic and industry, which exploits resources of vehicles and Road Side Units …
Task offloading in vehicular edge computing networks via deep reinforcement learning
Given the rapid increase of various applications in vehicular networks, it is crucial to
consider a flexible architecture to improve the Quality of Service (QoS). Utilizing Multi-access …
consider a flexible architecture to improve the Quality of Service (QoS). Utilizing Multi-access …
Ai-empowered content caching in vehicular edge computing: Opportunities and challenges
MA Javed, S Zeadally - IEEE network, 2021 - ieeexplore.ieee.org
Vehicular networks are an indispensable component of future autonomous and intelligent
transport systems. Today, many vehicular networking applications are emerging, and …
transport systems. Today, many vehicular networking applications are emerging, and …
Knowledge-driven service offloading decision for vehicular edge computing: A deep reinforcement learning approach
The smart vehicles construct Internet of Vehicle (IoV), which can execute various intelligent
services. Although the computation capability of a vehicle is limited, multi-type of edge …
services. Although the computation capability of a vehicle is limited, multi-type of edge …