Edge computation offloading with content caching in 6G-enabled IoV
Using the powerful communication capability of 6G, various in-vehicle services in the
Internet of Vehicles (IoV) can be offered with low delay, which provide users with a high …
Internet of Vehicles (IoV) can be offered with low delay, which provide users with a high …
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 …
QoE-based task offloading with deep reinforcement learning in edge-enabled Internet of Vehicles
In the transportation industry, task offloading services of edge-enabled Internet of Vehicles
(IoV) are expected to provide vehicles with the better Quality of Experience (QoE). However …
(IoV) are expected to provide vehicles with the better Quality of Experience (QoE). However …
Adaptive computation offloading with edge for 5G-envisioned internet of connected vehicles
Nowadays, the applications related to Internet of connected vehicles (IoCV) have been
greatly promoted by the roadside units (RSUs). To improve the transmission efficiency by the …
greatly promoted by the roadside units (RSUs). To improve the transmission efficiency by the …
Computation offloading for energy and delay trade-offs with traffic flow prediction in edge computing-enabled iov
An unprecedented prosperity in artificial intelligence promotes the development of Internet of
Vehicles (IoV). Assisted by edge computing, vehicles enable to offload data to edge servers …
Vehicles (IoV). Assisted by edge computing, vehicles enable to offload data to edge servers …
Deep deterministic policy gradient-based algorithm for computation offloading in iov
The continuous evolution of cellular networks has resulted in the rapid increase in both
mobile applications and devices in the Internet of Vehicles. The introduction of the multi …
mobile applications and devices in the Internet of Vehicles. The introduction of the multi …
Dynamic edge computation offloading for internet of vehicles with deep reinforcement learning
Recent developments in the Internet of Vehicles (IoV) enabled the myriad emergence of a
plethora of data-intensive and latency-sensitive vehicular applications, posing significant …
plethora of data-intensive and latency-sensitive vehicular applications, posing significant …
Efficient computation offloading for Internet of Vehicles in edge computing-assisted 5G networks
Abstract The Internet of Vehicles (IoV) is employed to gather real-time traffic information for
drivers, and base stations in 5G systems are used to assist in traffic data transmission. For …
drivers, and base stations in 5G systems are used to assist in traffic data transmission. For …
Deep reinforcement learning-based computation offloading for 5G vehicle-aware multi-access edge computing network
Z Wu, D Yan - China Communications, 2021 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is one of the key technologies of the future 5G network.
By deploying edge computing centers at the edge of wireless access network, the …
By deploying edge computing centers at the edge of wireless access network, the …
Com-DDPG: Task offloading based on multiagent reinforcement learning for information-communication-enhanced mobile edge computing in the internet of vehicles
H Gao, X Wang, W Wei, A Al-Dulaimi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The emergence of the Internet of Vehicles (IoV) introduces challenges regarding
computation-intensive and time-sensitive related services for data processing and …
computation-intensive and time-sensitive related services for data processing and …