[HTML][HTML] Adaptive delay-energy balanced partial offloading strategy in Mobile Edge Computing networks
Abstract Mobile Edge Computing (MEC)-based computation offloading is a promising
application paradigm for serving large numbers of users with various delay and energy …
application paradigm for serving large numbers of users with various delay and energy …
Task offloading and resource scheduling in hybrid edge-cloud networks
Q Zhang, L Gui, S Zhu, X Lang - IEEE Access, 2021 - ieeexplore.ieee.org
Computation-intensive mobile applications are explosively increasing and cause
computation overload for smart mobile devices (SMDs). With the assistance of mobile edge …
computation overload for smart mobile devices (SMDs). With the assistance of mobile edge …
A collaborative task offloading scheme in vehicular edge computing
The increase of mobile applications in the internet of vehicles (IoVs), necessitates the
demand for higher computation capabilities. Vehicles can transfer related applications to …
demand for higher computation capabilities. Vehicles can transfer related applications to …
A deep reinforcement learning-based dynamic computational offloading method for cloud robotics
M Penmetcha, BC Min - IEEE Access, 2021 - ieeexplore.ieee.org
Robots come with a variety of computing capabilities, and running computationally-intense
applications on robots is sometimes challenging on account of limited onboard computing …
applications on robots is sometimes challenging on account of limited onboard computing …
Collaborative machine learning for energy-efficient edge networks in 6G
To fulfill the diversified requirements of the emerging Internet of Everything (IoE)
applications, the future sixth generation (6G) mobile network is envisioned as a …
applications, the future sixth generation (6G) mobile network is envisioned as a …
A Comprehensive Survey on Vehicular Networking: Communications, Applications, Challenges, and Upcoming Research Directions
Nowadays, advanced communication technologies are being utilized to develop intelligent
transportation management and driving assistance. Through the ability to exchange traffic …
transportation management and driving assistance. Through the ability to exchange traffic …
A Survey of Network Automation for Industrial Internet-of-Things Towards Industry 5.0
Network automation has been bred by the deployment of 5G based Industrial Internet-of-
Things (IIoT) in Industry 4.0, and further approaching pervasive AI and human-robot …
Things (IIoT) in Industry 4.0, and further approaching pervasive AI and human-robot …
Deep Reinforcement Learning for Computation and Communication Resource Allocation in Multiaccess MEC Assisted Railway IoT Networks
J Xu, B Ai, L Chen, Y Cui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multi-access mobile edge computing (MEC) is envisioned as a key enabling technology to
support compute-intensive and delay-sensitive applications in railway Internet of Things …
support compute-intensive and delay-sensitive applications in railway Internet of Things …
Edge intelligence empowered dynamic offloading and resource management of MEC for smart city Internet of Things
K Tian, H Chai, Y Liu, B Liu - Electronics, 2022 - mdpi.com
Internet of Things (IoT) has emerged as an enabling platform for smart cities. In this paper,
the IoT devices' offloading decisions, CPU frequencies and transmit powers joint …
the IoT devices' offloading decisions, CPU frequencies and transmit powers joint …
[HTML][HTML] MARL based resource allocation scheme leveraging vehicular cloudlet in automotive-industry 5.0
Abstract Automotive-Industry 5.0 will use Beyond Fifth-Generation (B5G) communications to
provide robust, abundant computation resources and energy-efficient data sharing among …
provide robust, abundant computation resources and energy-efficient data sharing among …