VC-PPQ: privacy-preserving Q-learning based video caching optimization in mobile edge networks

Z Zhang, T Cao, X Wang, H Xiao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge caching has great advantages in alleviating video traffic pressure and reducing
transmission delay, which is considered as a hopeful solution to improve video resource …

Mobility-aware proactive video caching based on asynchronous federated learning in mobile edge computing systems

Z Qian, Y Feng, C Dai, W Li, G Li - Applied Soft Computing, 2024 - Elsevier
With the rapid advance of the Internet of Things (IoT) and the surging user-centric smart
devices, video services such as short videos, real-time video streaming, and Virtual Reality …

Towards real-time video caching at edge servers: A cost-aware deep q-learning solution

L Cui, E Ni, Y Zhou, Z Wang, L Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Given the rapid growth of user-generated videos, internet traffic has been heavily dominated
by online video streaming. Caching videos on edge servers in close proximity to users has …

On a Novel Content Edge Caching Approach based on Multi-Agent Federated Reinforcement Learning in Internet of Vehicles

Y Liu, B Mao - 2023 32nd Wireless and Optical …, 2023 - ieeexplore.ieee.org
Driven by the emerging requirements of Internet of Vehicles (IoV), future vehicles are
expected to have the ability to provide not only the autonomous driving services, but also the …

[HTML][HTML] Intelligent caching for mobile video streaming in vehicular networks with deep reinforcement learning

Z Luo, M Liwang - Applied Sciences, 2022 - mdpi.com
Caching-enabled multi-access edge computing (MEC) has attracted wide attention to
support future intelligent vehicular networks, especially for delivering high-definition videos …

[HTML][HTML] Deep reinforcement learning-based collaborative video caching and transcoding in clustered and intelligent edge B5G networks

Z Wan, Y Li - Wireless Communications and Mobile Computing, 2020 - hindawi.com
In the next-generation wireless communications system of Beyond 5G networks, video
streaming services have held a surprising proportion of the whole network traffic …

Intelligent video caching at network edge: A multi-agent deep reinforcement learning approach

F Wang, F Wang, J Liu, R Shea… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
Today's explosively growing Internet video traffics and viewers' ever-increasing quality of
experience (QoE) demands for video streaming bring tremendous pressures to the …

Knowledge-centric proactive edge caching over mobile content distribution network

H Hao, C Xu, M Wang, H Xie, Y Liu… - IEEE INFOCOM 2018 …, 2018 - ieeexplore.ieee.org
By enabling caching content at base stations, accessing points or other mobile nodes which
are close to users, wireless edge caching is able to shorten the content delivery latency and …

Multi-agent reinforcement learning based cooperative content caching for mobile edge networks

W Jiang, G Feng, S Qin, Y Liu - IEEE Access, 2019 - ieeexplore.ieee.org
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 …

Joint Content Caching, Recommendation and Transmission for Layered Scalable Videos Over Dynamic Cellular Networks: A Dueling Deep Q-Learning Approach

J Xie, Q Jia, X Mu, F Lu - IEEE Access, 2024 - ieeexplore.ieee.org
Scalable Video Coding (SVC) and edge caching are two techniques that hold the potential
to improve user-perceived video viewing experience. Moreover, video recommendation can …