Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing
Mobile-edge computing (MEC) has emerged as a promising computing paradigm in the 5G
architecture, which can empower user equipments (UEs) with computation and energy …
architecture, which can empower user equipments (UEs) with computation and energy …
Deep reinforcement learning based computation offloading and resource allocation for MEC
Mobile edge computing (MEC) has the potential to enable computation-intensive
applications in 5G networks. MEC can extend the computational capacity at the edge of …
applications in 5G networks. MEC can extend the computational capacity at the edge of …
Delay-aware and energy-efficient computation offloading in mobile-edge computing using deep reinforcement learning
Internet of Things (IoT) is considered as the enabling platform for a variety of promising
applications, such as smart transportation and smart city, where massive devices are …
applications, such as smart transportation and smart city, where massive devices are …
Energy efficient joint computation offloading and service caching for mobile edge computing: A deep reinforcement learning approach
Mobile Edge Computing (MEC) meets the delay requirements of emerging applications and
reduces energy consumption by pushing cloud functions to the edge of the networks …
reduces energy consumption by pushing cloud functions to the edge of the networks …
Optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is a promising paradigm by providing computing capabilities in close …
computing (MEC) is a promising paradigm by providing computing capabilities in close …
Dependency-aware computation offloading in mobile edge computing: A reinforcement learning approach
S Pan, Z Zhang, Z Zhang, D Zeng - IEEE Access, 2019 - ieeexplore.ieee.org
Mobile edge computing (MobEC) builds an Information Technology (IT) service environment
to enable cloud-computing capabilities at the edge of mobile networks. To tackle the …
to enable cloud-computing capabilities at the edge of mobile networks. To tackle the …
Performance optimization in mobile-edge computing via deep reinforcement learning
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is emerging as a promising paradigm by providing computing capabilities …
computing (MEC) is emerging as a promising paradigm by providing computing capabilities …
[HTML][HTML] Decentralized computation offloading for multi-user mobile edge computing: A deep reinforcement learning approach
Z Chen, X Wang - EURASIP Journal on Wireless Communications and …, 2020 - Springer
Mobile edge computing (MEC) emerges recently as a promising solution to relieve resource-
limited mobile devices from computation-intensive tasks, which enables devices to offload …
limited mobile devices from computation-intensive tasks, which enables devices to offload …
Online computation offloading and resource scheduling in mobile-edge computing
With the explosion of mobile smart devices, many computation intensive applications have
emerged, such as interactive gaming and augmented reality. Mobile-edge computing (EC) is …
emerged, such as interactive gaming and augmented reality. Mobile-edge computing (EC) is …
Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks
Wireless powered mobile-edge computing (MEC) has recently emerged as a promising
paradigm to enhance the data processing capability of low-power networks, such as …
paradigm to enhance the data processing capability of low-power networks, such as …