Proactive content caching in edge computing environment: A review

R Aghazadeh, A Shahidinejad… - Software: Practice …, 2023 - Wiley Online Library
Edge computing environment provides processing capability and computing at the network
edge and close to users. Edge equipment includes small data centers that locally perform …

[HTML][HTML] Cache in fog computing design, concepts, contributions, and security issues in machine learning prospective

MA Naeem, YB Zikria, R Ali, U Tariq, Y Meng… - Digital Communications …, 2023 - Elsevier
The massive growth of diversified smart devices and continuous data generation poses a
challenge to communication architectures. To deal with this problem, communication …

Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends

HMF Noman, E Hanafi, KA Noordin, K Dimyati… - IEEE …, 2023 - ieeexplore.ieee.org
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …

Learning-based hierarchical edge caching for cloud-aided heterogeneous networks

D Li, H Zhang, D Yuan, M Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Information fusion on delivery: A survey on the roles of mobile edge caching systems

TV Nguyen, AT Tran, NN Dao, H Moon, S Cho - Information Fusion, 2023 - Elsevier
Edge caching, which offers application versatility and a range of benefits, has exerted a
significant impact on the adoption and development of fifth-generation networks and …

User preference learning-based proactive edge caching for D2D-assisted wireless networks

D Li, H Zhang, H Ding, T Li, D Liang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
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 …

Cooperative edge caching via federated deep reinforcement learning in fog-rans

M Zhang, Y Jiang, FC Zheng… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
In this paper, cooperative edge caching problem is investigated in fog radio access networks
(F-RANs). By considering the non-deterministic polynomial hard (NP-hard) property of this …

Intelligent mobile edge caching for popular contents in vehicular cloud toward 6G

P Liu, Y Zhang, T Fu, J Hu - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Although vehicles are the most commonly used means of transportation in our daily lives,
their computational power and memory resources are often ignored. The new paradigm …

Vit-cat: Parallel vision transformers with cross attention fusion for popularity prediction in mec networks

Z HajiAkhondi-Meybodi, A Mohammadi… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Mobile Edge Caching (MEC) is a revolutionary technology for the Sixth Generation (6G) of
wireless networks with the promise to significantly reduce users' latency via offering storage …

Federated learning-based content popularity prediction in fog radio access networks

Y Jiang, Y Wu, FC Zheng, M Bennis… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …