Deep learning empowered task offloading for mobile edge computing in urban informatics
Led by industrialization of smart cities, numerous interconnected mobile devices, and novel
applications have emerged in the urban environment, providing great opportunities to …
applications have emerged in the urban environment, providing great opportunities to …
A deep reinforcement learning based computation offloading with mobile vehicles in vehicular edge computing
Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …
extra computation resource to complete the computation tasks of mobile devices with low …
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 …
Deep reinforcement learning for vehicular edge computing: An intelligent offloading system
The development of smart vehicles brings drivers and passengers a comfortable and safe
environment. Various emerging applications are promising to enrich users' traveling …
environment. Various emerging applications are promising to enrich users' traveling …
Ultra-low latency multi-task offloading in mobile edge computing
H Zhang, Y Yang, X Huang, C Fang, P Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
With the development of computer technology, computational-intensive and delay-sensitive
applications are emerging endlessly, and they are limited by the computing power and …
applications are emerging endlessly, and they are limited by the computing power and …
Collaborate edge and cloud computing with distributed deep learning for smart city internet of things
City Internet-of-Things (IoT) applications are becoming increasingly complicated and thus
require large amounts of computational resources and strict latency requirements. Mobile …
require large amounts of computational resources and strict latency requirements. Mobile …
A digital twin-assisted intelligent partial offloading approach for vehicular edge computing
Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile Edge
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …
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 …
Intelligent task offloading in vehicular edge computing networks
Recently, traditional transportation systems have been gradually evolving to ITS, inspired by
both artificial intelligence and wireless communications technologies. The vehicles get …
both artificial intelligence and wireless communications technologies. The vehicles get …
An efficient online computation offloading approach for large-scale mobile edge computing via deep reinforcement learning
Mobile edge computing (MEC) has been envisioned as a promising paradigm that could
effectively enhance the computational capacity of wireless user devices (WUDs) and quality …
effectively enhance the computational capacity of wireless user devices (WUDs) and quality …