Device-enhanced MEC: Multi-access edge computing (MEC) aided by end device computation and caching: A survey
Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices
in providing compute-and data-intensive services with low latency. Growing service …
in providing compute-and data-intensive services with low latency. Growing service …
Enabling AI in future wireless networks: A data life cycle perspective
Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …
networks, which can be mostly attributed to the increasing communication and sensing …
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 …
Reinforcement learning-empowered mobile edge computing for 6G edge intelligence
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
Deep reinforcement learning-based computation offloading for 5G vehicle-aware multi-access edge computing network
Z Wu, D Yan - China Communications, 2021 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is one of the key technologies of the future 5G network.
By deploying edge computing centers at the edge of wireless access network, the …
By deploying edge computing centers at the edge of wireless access network, the …
Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC
Due to the exploding traffic demands and the diversity of novel applications requiring
extensive computation and radio resources, research has been active to devise …
extensive computation and radio resources, research has been active to devise …
SVM-based task admission control and computation offloading using lyapunov optimization in heterogeneous MEC network
Integrating device-to-device (D2D) cooperation with mobile edge computing (MEC) for
computation offloading has proven to be an effective method for extending the system …
computation offloading has proven to be an effective method for extending the system …
A survey on reinforcement learning-aided caching in heterogeneous mobile edge networks
Mobile networks experience a tremendous increase in data volume and user density due to
the massive number of coexisting users and devices. An efficient technique to alleviate this …
the massive number of coexisting users and devices. An efficient technique to alleviate this …
Regional intelligent resource allocation in mobile edge computing based vehicular network
G Wang, F Xu - IEEE Access, 2020 - ieeexplore.ieee.org
The advancement of 5G technology has brought the prosperous development of Internet of
Vehicles (IoV). IoV services are not only computational intensive but also extremely sensitive …
Vehicles (IoV). IoV services are not only computational intensive but also extremely sensitive …
Multi-agent deep reinforcement learning based resource allocation for ultra-reliable low-latency internet of controllable things
Y Xiao, Y Song, J Liu - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
As a promising technology in the 5G era, the artificial intelligence (AI) enabled Internet of
controllable things (IoCT) is expected to be an integral part of heterogeneous networks …
controllable things (IoCT) is expected to be an integral part of heterogeneous networks …