Intelligent edge content caching: A deep recurrent reinforcement learning method

H Xu, Y Sun, J Gao, J Guo - Peer-to-Peer Networking and Applications, 2022 - Springer
With the rise of 5G network and the rapid growth of user equipment, there exists a gap
between the stringent requirements of emerging applications and the actual functionality of …

In-network pooling: contribution-aware allocation optimization for computing power network in B5G/6G era

Z Di, T Luo, C Qiu, C Zhang, Z Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The coming B5G/6G will bring a huge amount of challenging applications with zettabytes of
information. Computing power network (CPN) can provide a promising solution by …

Attention cooperative task offloading and service caching in edge computing

Z Yao, Y Li, S Xia, G Wu - GLOBECOM 2022-2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) enables various services to be cached in close proximity to
the user equipments (UEs), thereby reducing the computing delay of many emerging …

A Federated Deep Reinforcement Learning-based Low-power Caching Strategy for Cloud-edge Collaboration

X Zhang, Z Hu, Y Liang, H Xiao, A Xu, M Zheng… - Journal of Grid …, 2024 - Springer
In the era of ubiquitous network devices, an exponential increase in content requests from
user equipment (UE) calls for optimized caching strategies within a cloud-edge integration …

Cluster-based content caching driven by popularity prediction

B Jia, R Li, C Wang, C Qiu, X Wang - CCF Transactions on High …, 2022 - Springer
This paper introduces a novel cache replacement strategy, named Cluster-Based Content
Caching (CBCC). CBCC extracts the content feature and uses it to predict popularity for …

Spatial-temporal graph attention-based multi-agent reinforcement learning in cooperative edge caching

J Hou, A Nayak - ICC 2023-IEEE International Conference on …, 2023 - ieeexplore.ieee.org
With the increasing number of users connecting to the internet and the number of devices
each user owns, the internet is experiencing an unprecedented traffic demand. Providing …

基于聚类算法内容流行度预测的空天地一体化网络缓存方法

仇超, 王晨阳 - 天地一体化信息网络, 2024 - infocomm-journal.com
针对空天地一体化网络中恶劣的自然条件可能造成连通异常和通信阻塞的情况,
对一种新的空天地一体化网络缓存方法进行研究, 即基于聚类的内容缓存方法 …

FACC: A Flexible and Asynchronous Updating Strategy for Cooperative Edge Caching

Z Gao, Y Tian, M Yang, ECH Ngai… - 2024 IEEE 3rd …, 2024 - ieeexplore.ieee.org
Recently, cooperative edge caching effectively reduces redundant transmissions and user
plane latency by deploying potentially requested videos in edge nodes. Many existing works …

A Graph-Based Spatial-Temporal Deep Reinforcement Learning Model for Edge Caching

J Hou, A Nayak - GLOBECOM 2023-2023 IEEE Global …, 2023 - ieeexplore.ieee.org
With increased Internet users, backhaul links are experiencing unprecedented traffic
burdens. Meanwhile, edge caching is emerging to reduce the burden. In order to optimize …

Enhancing Network Efficiency: Empowering Intelligent Caching with Graph Neural Networks in Information-Centric Networking

J Hou - 2024 - ruor.uottawa.ca
In the current era of ever-increasing data volumes and network traffic, efficient caching
mechanisms play an important role in mitigating latency, managing network workload, and …