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Applications of multi-agent reinforcement learning in future internet: A comprehensive survey
Future Internet involves several emerging technologies such as 5G and beyond 5G
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
AI-enhanced cloud-edge-terminal collaborative network: Survey, applications, and future directions
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …
for emerging applications owing to its huge potential in providing low-latency and ultra …
Cooperative edge caching based on elastic federated and multi-agent deep reinforcement learning in next-generation networks
Edge caching is a promising solution for next-generation networks by empowering caching
units in small-cell base stations (SBSs), which allows user equipments (UEs) to fetch users' …
units in small-cell base stations (SBSs), which allows user equipments (UEs) to fetch users' …
A transcoding-enabled 360 VR video caching and delivery framework for edge-enhanced next-generation wireless networks
Virtual reality (VR) content, including 360° panoramic video, provides users with an
immersive multimedia experience and therefore attracts increasing research and …
immersive multimedia experience and therefore attracts increasing research and …
Federated deep reinforcement learning for recommendation-enabled edge caching in mobile edge-cloud computing networks
To support rapidly increasing services and applications from users, multi-tier computing is
emerged as a promising system-level computing architecture by distributing …
emerged as a promising system-level computing architecture by distributing …
[HTML][HTML] A survey on deploying mobile deep learning applications: A systemic and technical perspective
With the rapid development of mobile devices and deep learning, mobile smart applications
using deep learning technology have sprung up. It satisfies multiple needs of users, network …
using deep learning technology have sprung up. It satisfies multiple needs of users, network …
Tailored learning-based scheduling for kubernetes-oriented edge-cloud system
Kubernetes (k8s) has the potential to merge the distributed edge and the cloud but lacks a
scheduling framework specifically for edge-cloud systems. Besides, the hierarchical …
scheduling framework specifically for edge-cloud systems. Besides, the hierarchical …
[BOK][B] Mobile edge computing
Y Zhang - 2022 - library.oapen.org
This is an open access book. It offers comprehensive, self-contained knowledge on Mobile
Edge Computing (MEC), which is a very promising technology for achieving intelligence in …
Edge Computing (MEC), which is a very promising technology for achieving intelligence in …
Intelligence-empowered mobile edge computing: Framework, issues, implementation, and outlook
Recently, artificial intelligence (AI) is undergoing a sustained success renaissance as it can
substantially improve networks' cognitive performance and intelligence, thereby contributing …
substantially improve networks' cognitive performance and intelligence, thereby contributing …
Video super-resolution and caching—An edge-assisted adaptive video streaming solution
Edge computing provides the potential to improve users' Quality of Experience (QoE) in ever-
increasing video delivery. However, existing edge-based solutions cannot fully utilize the …
increasing video delivery. However, existing edge-based solutions cannot fully utilize the …