Cooperative Computation Offloading and Resource Management for Vehicle Platoon: A Deep Reinforcement Learning Approach
L Lu, X Li, J Sun, Z Yang - 2022 IEEE 24th Int Conf on High …, 2022 - ieeexplore.ieee.org
On the Internet of Vehicles, the computation capability of individual vehicle is restricted to
finish upcoming vehicular computational tasks. Fortunately, vehicular edge computing (VEC) …
finish upcoming vehicular computational tasks. Fortunately, vehicular edge computing (VEC) …
A Hybrid Deep Reinforcement Learning Approach for Jointly Optimizing Offloading and Resource Management in Vehicular Networks
CL Chen, B Bhargava, V Aggarwal… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Satisfying the quality of service of data-intensive autonomous driving applications has
become challenging. In this work, we propose a novel methodology that optimizes …
become challenging. In this work, we propose a novel methodology that optimizes …
Toward reliable DNN-based task partitioning and offloading in vehicular edge computing
Modern vehicles have become typical consumer electronics with the development of
sensing, transmission, and computation technologies. The emerging intelligent …
sensing, transmission, and computation technologies. The emerging intelligent …
Federated deep reinforcement learning for task offloading and resource allocation in mobile edge computing-assisted vehicular networks
X Zhao, Y Wu, T Zhao, F Wang, M Li - Journal of Network and Computer …, 2024 - Elsevier
Mobile edge computing (MEC) enables computation intensive applications in the Internet of
Vehicles (IoV) to no longer be limited by device resources. However, the lack of an effective …
Vehicles (IoV) to no longer be limited by device resources. However, the lack of an effective …
Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …
provide low latency and reduce the load in backhaul networks. In order to meet drastically …
Energy-aware resource management in vehicular edge computing systems
The low-latency requirements of connected electric vehicles and their increasing computing
needs have led to the necessity to move computational nodes from the cloud data centers to …
needs have led to the necessity to move computational nodes from the cloud data centers to …
Collaborative task offloading in vehicular edge computing networks
With the explosive increasing of various vehicle applications, vehicular edge computing
(VEC) networks have emerged as a promising technology to extend the capability of the …
(VEC) networks have emerged as a promising technology to extend the capability of the …
V2V-based task offloading and resource allocation in vehicular edge computing networks
J He, Y Wang, X Du, Z Lu - arXiv preprint arXiv:2112.15065, 2021 - arxiv.org
In the research and application of vehicle ad hoc networks (VANETs), it is often assumed
that vehicles obtain cloud computing services by accessing to roadside units (RSUs) …
that vehicles obtain cloud computing services by accessing to roadside units (RSUs) …
A proactive stable scheme for vehicular collaborative edge computing
Due to the restricted computing resources and high upgrading costs, onboard processors
alone cannot meet the quality of service (QoS) requirements of the emerging and constantly …
alone cannot meet the quality of service (QoS) requirements of the emerging and constantly …
UEE-Delay Balanced Online Resource Optimization for Cooperative MEC-enabled Task Offloading in Dynamic Vehicular Networks
Mobile-edge computing (MEC), pushing the centralized cloud computing, storage, and
communication capability to the edge close to vehicular terminals, is proposed as a …
communication capability to the edge close to vehicular terminals, is proposed as a …