Mobility-aware cooperative caching in vehicular edge computing based on asynchronous federated and deep reinforcement learning
Vehicular edge computing (VEC) can learn and cache most popular contents for vehicular
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
Trajectory and communication design for cache-enabled UAVs in cellular networks: A deep reinforcement learning approach
In this article, we investigate the content transmission in a heavy-crowded multiple access
cellular network, whose data traffic is offloaded through the combination of edge caching …
cellular network, whose data traffic is offloaded through the combination of edge caching …
Task offloading for vehicular edge computing with imperfect CSI: A deep reinforcement approach
Y Wu, J Xia, C Gao, J Ou, C Fan, J Ou, D Fan - Physical Communication, 2022 - Elsevier
This article examines a multi-user mobile edge computing (MEC) system for the Internet of
Vehicle (IoV), where one edge point (EP) nearby the vehicles can help assist in processing …
Vehicle (IoV), where one edge point (EP) nearby the vehicles can help assist in processing …
Task offloading in vehicular mobile edge computing: A matching-theoretic framework
Mobile edge computing (MEC) is an emerging technology that leverages computing,
storage, and network resources deployed in the proximity of users to offload terminals from …
storage, and network resources deployed in the proximity of users to offload terminals from …
Digital twin empowered content caching in social-aware vehicular edge networks
K Zhang, J Cao, S Maharjan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The rapid proliferation of smart vehicles along with the advent of powerful applications bring
stringent requirements on massive content delivery. Although vehicular edge caching can …
stringent requirements on massive content delivery. Although vehicular edge caching can …
Deep learning based caching for self-driving cars in multi-access edge computing
Without steering wheel and driver's seat, the self-driving cars will have new interior outlook
and spaces that can be used for enhanced infotainment services. For traveling people, self …
and spaces that can be used for enhanced infotainment services. For traveling people, self …
Deep reinforcement learning-based energy-efficient edge computing for internet of vehicles
Mobile network operators (MNOs) allocate computing and caching resources for mobile
users by deploying a central control system. Existing studies mainly use programming and …
users by deploying a central control system. Existing studies mainly use programming and …
Optimal delay constrained offloading for vehicular edge computing networks
The increasing number of smart vehicles and their resource hungry applications pose new
challenges in terms of computation and processing for providing reliable and efficient …
challenges in terms of computation and processing for providing reliable and efficient …
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 …
Intelligent computation offloading for MEC-based cooperative vehicle infrastructure system: A deep reinforcement learning approach
In the cooperative vehicle infrastructure system, the road side unit (RSU) equipped with a
mobile edge computing (MEC) server and sensors could provide vehicle infrastructure …
mobile edge computing (MEC) server and sensors could provide vehicle infrastructure …