Fog computing enabling industrial internet of things: State-of-the-art and research challenges
Industry is going through a transformation phase, enabling automation and data exchange
in manufacturing technologies and processes, and this transformation is called Industry 4.0 …
in manufacturing technologies and processes, and this transformation is called Industry 4.0 …
On a hierarchical content caching and asynchronous updating scheme for non-terrestrial network-assisted connected automated vehicles
With the advantages of seamless coverage and ubiquitous connections, Non-Terrestrial
Networks (NTNs) composed of Low Earth Orbit (LEO) satellites and Unmanned Aerial …
Networks (NTNs) composed of Low Earth Orbit (LEO) satellites and Unmanned Aerial …
Deep learning-based edge caching in fog radio access networks
In this article, the edge caching policy in fog radio access networks (F-RANs) is optimized
via deep learning. Considering that it is hard for fog access points (F-APs) to collect sufficient …
via deep learning. Considering that it is hard for fog access points (F-APs) to collect sufficient …
A mean field game-based distributed edge caching in fog radio access networks
In this paper, the edge caching optimization problem in fog radio access networks (F-RANs)
is investigated. Taking into account time-variant user requests and ultra-dense deployment …
is investigated. Taking into account time-variant user requests and ultra-dense deployment …
[HTML][HTML] 6G Smart fog radio access network: architecture, key technologies, and research challenges
L Zhang, M Zhang, X Liu, L Guo - Digital Communications and Networks, 2024 - Elsevier
The 6G smart fog radio access network (F-RAN) is an integration of 6G network intelligence
technologies and the F-RAN architecture. Its aim is to provide low-latency and high …
technologies and the F-RAN architecture. Its aim is to provide low-latency and high …
Double Deep Q-Network based Joint Edge Caching and Content Recommendation with Inconsistent File Sizes in Fog-RANs
J Yan, M Zhang, Y Jiang, FC Zheng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, the joint edge caching and content recommendation problem for the case of
inconsistent file sizes is investigated for fog radio access networks (F-RANs). Firstly, we …
inconsistent file sizes is investigated for fog radio access networks (F-RANs). Firstly, we …
Federated learning-based content popularity prediction in fog radio access networks
In this paper, the content popularity prediction problem in fog radio access networks (F-
RANs) is investigated. In order to obtain accurate prediction with low complexity, we propose …
RANs) is investigated. In order to obtain accurate prediction with low complexity, we propose …
Content popularity prediction via deep learning in cache-enabled fog radio access networks
In this paper, the content popularity prediction problem in cache-enabled fog radio access
networks (F-RANs) is investigated. In order to make the popularity prediction accurate and …
networks (F-RANs) is investigated. In order to make the popularity prediction accurate and …
Analysis and optimization of cache-enabled fog radio access networks: Successful transmission probability, fractional offloaded traffic and delay
In this paper, the edge caching optimization problem in fog radio access networks (F-RANs)
is investigated. Considering that fog access points (F-APs) can offer cooperation gain by …
is investigated. Considering that fog access points (F-APs) can offer cooperation gain by …
Analysis and optimization of fog radio access networks with hybrid caching: Delay and energy efficiency
In this article, delay and energy efficiency (EE) are investigated in fog radio access networks
(F-RANs) with hybrid caching. With multiple caching and transmission strategies, hybrid …
(F-RANs) with hybrid caching. With multiple caching and transmission strategies, hybrid …