A q-learning based method for energy-efficient computation offloading in mobile edge computing
Mobile Edge Computing (MEC) has emerged as a promising computing paradigm in 5G
networks, which can empower User Equipments (UEs) with computation and energy …
networks, which can empower User Equipments (UEs) with computation and energy …
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 …
Computation offloading and resource allocation for mobile edge computing
Z Cheng, Q Wang, Z Li… - 2019 IEEE Symposium …, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emerging paradigm that integrates service environment
and cloud computing service and technology at the edge of a network to reduce network …
and cloud computing service and technology at the edge of a network to reduce network …
Deep reinforcement learning and optimization based green mobile edge computing
In mobile edge computing (MEC) networks, by offloading tasks (partially or completely) to
the MEC server, it becomes possible to complete computation-intensive and latency-critical …
the MEC server, it becomes possible to complete computation-intensive and latency-critical …
A deep reinforcement learning approach for online computation offloading 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 is put …
emerged, such as interactive gaming and augmented reality. Mobile edge computing is put …
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 …
Computation offloading strategy based on deep reinforcement learning in cloud-assisted mobile edge computing
Y Wang, H Ge, A Feng, W Li, L Liu… - 2020 IEEE 5th …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a new computing paradigm that migrates rich computing
and storage resources to the edge of the network. However, compared with traditional cloud …
and storage resources to the edge of the network. However, compared with traditional cloud …
Computation offloading and resource management for energy and cost trade-offs with deep reinforcement learning in mobile edge computing
Mobile edge computing, as a formidable paradigm, sinks the computing and communication
resources from the centralized cloud to the edge of networks near to users, which meets the …
resources from the centralized cloud to the edge of networks near to users, which meets the …
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 …
Energy-aware task offloading with genetic particle swarm optimization in hybrid edge computing
Mobile Devices (MDs) support various delay/computation-intensive applications. Yet they
only have limited battery energy and computing resources, thereby failing to totally run all …
only have limited battery energy and computing resources, thereby failing to totally run all …