In-network caching for ICN-based IoT (ICN-IoT): A comprehensive survey
The Internet of Things (IoT) has already emerged as one of the most popular directions in
today's information and communication technology (ICT) domain. With its advancement over …
today's information and communication technology (ICT) domain. With its advancement over …
Smart proactive caching: Empower the video delivery for autonomous vehicles in ICN-based networks
The recent advances in vehicular communications and networking are bringing self-driving
vehicles closer to reality. Once full automation (ie, levels 4 and 5 as defined in the five levels …
vehicles closer to reality. Once full automation (ie, levels 4 and 5 as defined in the five levels …
Popularity-based video caching techniques for cache-enabled networks: A survey
HS Goian, OY Al-Jarrah, S Muhaidat… - IEEE …, 2019 - ieeexplore.ieee.org
The proliferation of the mobile Internet and connected devices, which offer a variety of
services at different levels of performance is a major challenge for the fifth generation of …
services at different levels of performance is a major challenge for the fifth generation of …
User-preference-learning-based proactive edge caching for D2D-assisted wireless networks
This work investigates proactive edge caching for device-to-device (D2D)-assisted wireless
networks, where user equipment (UE) can be selected as caching nodes to assist content …
networks, where user equipment (UE) can be selected as caching nodes to assist content …
Learning-based hierarchical edge caching for cloud-aided heterogeneous networks
Edge caching has emerged as a promising technique against latency caused by explosive
growth of mobile data traffic through caching popular contents at the edge networks …
growth of mobile data traffic through caching popular contents at the edge networks …
Content caching oriented popularity prediction: A weighted clustering approach
Content popularity prediction plays an important role on proactive content caching. Different
to most of the existing works which focus on improving the popularity prediction accuracy, in …
to most of the existing works which focus on improving the popularity prediction accuracy, in …
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 …
Online spatiotemporal popularity learning via variational bayes for cooperative caching
Herein, we focus on an end-to-end design of a proactive cooperative caching strategy for a
multi-cell network. The design is challenging as it involves two interrelated problems: the …
multi-cell network. The design is challenging as it involves two interrelated problems: the …
Real-time video content popularity detection based on mean change point analysis
Video content is responsible for more than 70% of the global IP traffic. Consequently, it is
important for content delivery infrastructures to rapidly detect and respond to changes in …
important for content delivery infrastructures to rapidly detect and respond to changes in …
Content popularity prediction in fog radio access networks: A federated learning based approach
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 …