CoPace: Edge computation offloading and caching for self-driving with deep reinforcement learning
Currently, self-driving, emerging as a key automatic application, has brought a huge
potential for the provision of in-vehicle services (eg, automatic path planning) to mitigate …
potential for the provision of in-vehicle services (eg, automatic path planning) to mitigate …
Collaborative and intelligent resource optimization for computing and caching in IoV with blockchain and MEC using A3C approach
Recently, the rise of the Internet of Vehicles (IoV) has driven the broad development of
intelligent transportation and smart cities. In order to promote the computing power of mobile …
intelligent transportation and smart cities. In order to promote the computing power of mobile …
DRL-based V2V computation offloading for blockchain-enabled vehicular networks
Vehicular edge computing (VEC) is an effective method to increase the computing capability
of vehicles, where vehicles share their idle computing resources with each other. However …
of vehicles, where vehicles share their idle computing resources with each other. However …
Novel edge caching approach based on multi-agent deep reinforcement learning for internet of vehicles
D Zhang, W Wang, J Zhang, T Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Along with the development of Internet of Vehicles (IoV) and wireless technology, the usage
of applications that require low latency, such as autonomous driving and intelligent …
of applications that require low latency, such as autonomous driving and intelligent …
A novel deep Q-learning-based air-assisted vehicular caching scheme for safe autonomous driving
The safety driving-related content demands of vehicle users increase rapidly, especially with
the development of autonomous driving. It is significantly necessary to obtain the safety …
the development of autonomous driving. It is significantly necessary to obtain the safety …
Blockchain-inspired secure computation offloading in a vehicular cloud network
With the emergence of computation-intensive vehicular applications, computation offloading
based on mobile-edge computing (MEC) has become a promising paradigm in resource …
based on mobile-edge computing (MEC) has become a promising paradigm in resource …
Cooperative content caching in 5G networks with mobile edge computing
Along with modern wireless networks being content-centric, the demand for rich multimedia
services has been growing at a tremendous pace, which brings significant challenges to …
services has been growing at a tremendous pace, which brings significant challenges to …
Distributed deep multi-agent reinforcement learning for cooperative edge caching in internet-of-vehicles
Edge caching is a promising approach to reduce duplicate content transmission in Internet-
of-Vehicles (IoVs). Several Reinforcement Learning (RL) based edge caching methods have …
of-Vehicles (IoVs). Several Reinforcement Learning (RL) based edge caching methods have …
CREAT: Blockchain-assisted compression algorithm of federated learning for content caching in edge computing
Edge computing architectures can help us quickly process the data collected by Internet of
Things (IoT) and caching files to edge nodes can speed up the response speed of IoT …
Things (IoT) and caching files to edge nodes can speed up the response speed of IoT …
Joint computing and caching in 5G-envisioned Internet of vehicles: A deep reinforcement learning-based traffic control system
Recent developments of edge computing and content caching in wireless networks enable
the Intelligent Transportation System (ITS) to provide high-quality services for vehicles …
the Intelligent Transportation System (ITS) to provide high-quality services for vehicles …