Multi-agent reinforcement learning based cooperative content caching for mobile edge networks
To address the drastic growth of data traffic dominated by streaming of video-on-demand
files, mobile edge caching/computing (MEC) can be exploited to develop intelligent content …
files, mobile edge caching/computing (MEC) can be exploited to develop intelligent content …
Learning-based cooperative content caching policy for mobile edge computing
To address the drastic increase of multimedia traffic dominated by streaming videos, mobile
edge computing (MEC) can be exploited to accelerate the development of intelligent …
edge computing (MEC) can be exploited to accelerate the development of intelligent …
Proactive content caching based on actor–critic reinforcement learning for mobile edge networks
Mobile edge caching/computing (MEC) has emerged as a promising approach for
addressing the drastic increasing mobile data traffic by bringing high caching and computing …
addressing the drastic increasing mobile data traffic by bringing high caching and computing …
Proactive content caching by exploiting transfer learning for mobile edge computing
To address the vast multimedia traffic volume and requirements of user quality of experience
in the next‐generation mobile communication system (5G), it is imperative to develop …
in the next‐generation mobile communication system (5G), it is imperative to develop …
MECC: A mobile edge collaborative caching framework empowered by deep reinforcement learning
S Xu, X Liu, S Guo, X Qiu, L Meng - IEEE Network, 2021 - ieeexplore.ieee.org
With the rapid development of smart city and 5G, user demand for Internet services has
increased exponentially. Through collaborative content sharing, the storage limitation of a …
increased exponentially. Through collaborative content sharing, the storage limitation of a …
Cooperative edge caching based on temporal convolutional networks
With the rapid growth of networked multimedia services in the Internet, wireless network
traffic has increased dramatically. However, the current mainstream content caching …
traffic has increased dramatically. However, the current mainstream content caching …
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' …
Recommendation-driven multi-cell cooperative caching: A multi-agent reinforcement learning approach
In 5G small cell networks, edge caching is a key technique to alleviate the backhaul burden
by caching user desired contents at network edges such as small base stations (SBSs) …
by caching user desired contents at network edges such as small base stations (SBSs) …
Intelligent video caching at network edge: A multi-agent deep reinforcement learning approach
Today's explosively growing Internet video traffics and viewers' ever-increasing quality of
experience (QoE) demands for video streaming bring tremendous pressures to the …
experience (QoE) demands for video streaming bring tremendous pressures to the …
Distributed deep learning at the edge: A novel proactive and cooperative caching framework for mobile edge networks
We propose two novel proactive cooperative caching approaches using deep learning (DL)
to predict users' content demand in a mobile edge caching network. In the first approach, a …
to predict users' content demand in a mobile edge caching network. In the first approach, a …