Deepchunk: Deep q-learning for chunk-based caching in wireless data processing networks

Y Wang, Y Li, T Lan, V Aggarwal - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
A Data Processing Network (DPN) streams massive volumes of data collected and stored by
the network to multiple processing units to compute desired results in a timely fashion. Due …

Artificial intelligence for wireless caching: Schemes, performance, and challenges

M Sheraz, M Ahmed, X Hou, Y Li, D Jin… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Wireless data traffic is growing unprecedentedly and it may impede network performance by
consuming an ever-greater amount of bandwidth. With the advancement in technology there …

[HTML][HTML] A reinforcement learning based data caching in wireless networks

M Sheraz, S Shafique, S Imran, M Asif, R Ullah… - Applied Sciences, 2022 - mdpi.com
Data caching has emerged as a promising technique to handle growing data traffic and
backhaul congestion of wireless networks. However, there is a concern regarding how and …

Adaptive caching via deep reinforcement learning

A Sadeghi, G Wang, GB Giannakis - arXiv, 2019 - dml.mathdoc.fr
Caching is envisioned to play a critical role in next-generation content delivery infrastructure,
cellular networks, and Internet architectures. By smartly storing the most popular contents at …

Deep reinforcement learning for adaptive caching in hierarchical content delivery networks

A Sadeghi, G Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Caching is envisioned to play a critical role in next-generation content delivery infrastructure,
cellular networks, and Internet architectures. By smartly storing the most popular contents at …

Adapting deep learning for content caching frameworks in device-to-device environments

R Bajpai, S Chakraborty, N Gupta - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Recently, we have witnessed an expeditious growth in the intelligence and processing
ability of user equipment accompanied by the explosive increase of wireless data and traffic …

Toward smart and cooperative edge caching for 5G networks: A deep learning based approach

H Pang, J Liu, X Fan, L Sun - 2018 IEEE/ACM 26th …, 2018 - ieeexplore.ieee.org
The emerging 5G mobile networking promises ultrahigh network bandwidth and ultra-low
communication latency (<; 1ms), benefiting a wide range of applications, including live video …

Deep reinforcement learning-based edge caching in wireless networks

C Zhong, MC Gursoy… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the purpose to offload data traffic in wireless networks, content caching techniques
have recently been studied intensively. Using these techniques and caching a portion of the …

Deep learning for wireless coded caching with unknown and time-variant content popularity

Z Zhang, M Tao - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
Coded caching is effective in leveraging the accumulated storage size in wireless networks
by distributing different coded segments of each file in multiple cache nodes. This paper …

Accelerated deep reinforcement learning for wireless coded caching

Z Zhang, M Tao - 2019 IEEE/CIC International Conference on …, 2019 - ieeexplore.ieee.org
Coded caching is effective in leveraging the accumulated storage size in wireless networks
by distributing different coded segments of a file in different cache nodes. This paper aims to …