Deep reinforcement learning-based URLLC-aware task offloading in collaborative vehicular networks
C Pan, Z Wang, Z Zhou, X Ren - China Communications, 2021 - ieeexplore.ieee.org
Collaborative vehicular networks is a key enabler to meet the stringent ultra-reliable and low-
latency communications (URLLC) requirements. A user vehicle (UV) dynamically optimizes …
latency communications (URLLC) requirements. A user vehicle (UV) dynamically optimizes …
Resource allocation in DT-assisted Internet of Vehicles via edge intelligent cooperation
Applications in the Internet of Vehicles (IoV) are usually accompanied by ultralow network
response latency requirement. A promising approach to meet this demand is combining the …
response latency requirement. A promising approach to meet this demand is combining the …
Joint computation offloading and resource allocation for edge-cloud collaboration in internet of vehicles via deep reinforcement learning
Mobile edge computing (MEC) and cloud computing (CC) have been considered as the key
technologies to improve the task processing efficiency for Internet of Vehicles (IoV). In this …
technologies to improve the task processing efficiency for Internet of Vehicles (IoV). In this …
Joint allocation of wireless resource and computing capability in MEC-enabled vehicular network
In MEC-enabled vehicular network with limited wireless resource and computation resource,
stringent delay and high reliability requirements are challenging issues. In order to reduce …
stringent delay and high reliability requirements are challenging issues. In order to reduce …
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 …
Energy consumption minimization scheme for NOMA-based mobile edge computation networks underlaying UAV
An unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) networks fulfil
the on-demand computation services for the mobile terminals (MTs) with its high mobility …
the on-demand computation services for the mobile terminals (MTs) with its high mobility …
Joint Multi-task Offloading and Resource Allocation for Mobile Edge Computing Systems in Satellite IoT
F Chai, Q Zhang, H Yao, X Xin, R Gao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
For multi-task mobile edge computing (MEC) systems in satellite Internet of Things (IoT),
there are dependencies between different tasks, which need to be collected and jointly …
there are dependencies between different tasks, which need to be collected and jointly …
Adaptive computation partitioning and offloading in real-time sustainable vehicular edge computing
In this paper, we explore the feasibility of solar-powered road-side unit (SRSU)-assisted
vehicular edge computing (VEC) system, where SRSU is equipped with small cell base …
vehicular edge computing (VEC) system, where SRSU is equipped with small cell base …
面向自动驾驶的边缘计算技术研究综述
吕品， 许嘉， 李陶深， 徐文彪 - 通信学报, 2021 - infocomm-journal.com
边缘计算在自动驾驶的环境感知和数据处理方面有着极其重要的应用. 自动驾驶汽车可以通过从
边缘节点获得环境信息来扩大自身的感知范围, 也可以向边缘节点卸载计算任务以解决计算资源 …
边缘节点获得环境信息来扩大自身的感知范围, 也可以向边缘节点卸载计算任务以解决计算资源 …
A smart road side unit in a microeolic box to provide edge computing for vehicular applications
Deployment of technologies for Intelligent Transportation Systems (ITS) involves the
installation of Road Side Units (RSU) on the roadway and On-Board Units (OBU) inside …
installation of Road Side Units (RSU) on the roadway and On-Board Units (OBU) inside …