Reinforcement learning for joint optimization of communication and computation in vehicular networks
Y Cui, L Du, H Wang, D Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Ultra reliability and low latency communications (URLLC) are considered as one of the most
important use cases for computation tasks in the Internet of Vehicles (IoV) edge computing …
important use cases for computation tasks in the Internet of Vehicles (IoV) edge computing …
A DRL Strategy for Optimal Resource Allocation Along With 3D Trajectory Dynamics in UAV-MEC Network
Advances in Unmanned Air Vehicle (UAV) technology have paved a way for numerous
configurations and applications in communication systems. However, UAV dynamics play an …
configurations and applications in communication systems. However, UAV dynamics play an …
Uav-enabled mobile edge computing for resource allocation using cooperative evolutionary computation
Edge computing is a viable paradigm for supporting Industrial Internet of Things deployment
by shifting computationally demanding tasks from resource-constrained devices to powerful …
by shifting computationally demanding tasks from resource-constrained devices to powerful …
A deep reinforcement learning-based offloading scheme for multi-access edge computing-supported extended reality systems
B Trinh, GM Muntean - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
In recent years, eXtended Reality (XR) applications have been widely employed in various
scenarios, eg, health care, education, manufacturing, etc. Such application are now easily …
scenarios, eg, health care, education, manufacturing, etc. Such application are now easily …
Resource allocation and computation offloading in a millimeter-wave train-ground network
In this paper, we consider an mmWave-based train-ground communication system in the
high-speed railway (HSR) scenario, where the computation tasks of users can be partially …
high-speed railway (HSR) scenario, where the computation tasks of users can be partially …
Deep reinforcement learning based joint partial computation offloading and resource allocation in mobility-aware MEC system
L Wang, G Zhang - China Communications, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) emerges as a paradigm to free mobile devices (MDs) from
increasingly dense computing workloads in 6G networks. The quality of computing …
increasingly dense computing workloads in 6G networks. The quality of computing …
移动边缘计算中基于资源联合分配的部分计算卸载方法
刘耀， 何岳园， 周红静， 李超良， 李闯 - 物联网学报, 2023 - infocomm-journal.com
为了满足用户计算密集型任务的需求, 解决移动终端计算资源和能量有限的问题,
针对正交频分多址的多用户移动边缘计算系统, 以任务时延为主要优化目标, 设置任务时限 …
针对正交频分多址的多用户移动边缘计算系统, 以任务时延为主要优化目标, 设置任务时限 …
Algorithm of task offloading and resource allocation based on reinforcement learning in edge computing
J Zhao, X Hu, X Du - 2021 IEEE 5th Information Technology …, 2021 - ieeexplore.ieee.org
With the development of new technologies, resource-poor mobile devices cannot withstand
low-latency, high-computing applications. In order to reduce the burden of such applications …
low-latency, high-computing applications. In order to reduce the burden of such applications …
Federated Learning-Based Task Offloading in a UAV-Aided Cloud Computing Mobile Network
N Agarwal, S Joshi - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs), due to their flexibility in deployment, offer various
advantages in the next-generation wireless networks. In this work, we study a UAV-assisted …
advantages in the next-generation wireless networks. In this work, we study a UAV-assisted …
Flying MEC: Online task offloading, trajectory planning and charging scheduling for UAV-assisted MEC
Unmanned aerial vehicle (UAV) with moderate computing resources has been deployed in
current mobile edge computing (MEC) system to enhance the service coverage and …
current mobile edge computing (MEC) system to enhance the service coverage and …