Joint C-V2X based offloading and resource allocation in multi-tier vehicular edge computing system
Emerging intelligent transportation services are latency-sensitive with heavy demand for
computing resources, which can be supported by a multi-tier computing system composed of …
computing resources, which can be supported by a multi-tier computing system composed of …
Latency minimization of reverse offloading in vehicular edge computing
Cooperative Vehicle-Infrastructure System (CVIS) can provide innovative services for traffic
management and enable trips to be safer, more coordinated, and smarter. In the CVIS, the …
management and enable trips to be safer, more coordinated, and smarter. In the CVIS, the …
Task reverse offloading with deep reinforcement learning in multi-access edge computing
The Multi-access Edge Computing (MEC) technology's quick development greatly benefits
the Collaborative Mobile Infrastructure System (CMIS). To combine the data and produce …
the Collaborative Mobile Infrastructure System (CMIS). To combine the data and produce …
Computation cost-driven offloading strategy based on reinforcement learning for consumer devices
R Zhang, H Xia, Z Chen, Z Kang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Edge computing extends computational capabilities to the physical edge of the world,
providing faster and more efficient responses to consumer devices such as smart home …
providing faster and more efficient responses to consumer devices such as smart home …
Deep reinforcement learning-guided task reverse offloading in vehicular edge computing
The rapid development of Vehicular Edge Computing (VEC) provides great support for
Collaborative Vehicle Infrastructure System (CVIS) and promotes the safety of autonomous …
Collaborative Vehicle Infrastructure System (CVIS) and promotes the safety of autonomous …
Computation resource optimization for large-scale intelligent urban rail transit: A mean-field game approach
Offloading tasks in smart devices (SDs) to an edge intelligence-empowered service centre
(EISC) is a promising solution to support burgeoning intelligent applications in large-scale …
(EISC) is a promising solution to support burgeoning intelligent applications in large-scale …
Reinforcement-Learning-Based Deadline Constrained Task Offloading Schema for Energy Saving in Vehicular Edge Computing System
In the age of the ever-growing number of tasks generated from the Internet of Things (IoT)
devices, one of the most crucial problems with enhancing the Quality of Service in multi …
devices, one of the most crucial problems with enhancing the Quality of Service in multi …
[PDF][PDF] 基于Q 学习的蜂窝车联网边缘计算系统PC-5/Uu 接口联合卸载策略
冯伟杨， 林思雨， 冯婧涛， 李赟， 孔繁鹏， 艾渤 - 电子学报, 2024 - ejournal.org.cn
智能驾驶等智能交通服务对时延要求高, 在车辆本身算力不足的情况下, 车辆需要周围车辆和路
旁边缘计算单元帮助其一起完成任务的计算处理. 本文在既有车联网边缘计算卸载策略基础上 …
旁边缘计算单元帮助其一起完成任务的计算处理. 本文在既有车联网边缘计算卸载策略基础上 …
Serial or Parallel: Reverse Offloading based MEC-assisted Joint Computing
Mobile Edge Computing (MEC), as a promising key technology, provides tremendous
support for latency-sensitive applications in Internet of Vehicles (IoV). In this paper, we focus …
support for latency-sensitive applications in Internet of Vehicles (IoV). In this paper, we focus …