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Proactive content caching by exploiting transfer learning for mobile edge computing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/access.2017.2678990openalex-snapshot
Adaptive Scheme for Caching YouTube Content in a Cellular Network: Machine Learning Approach
inferredcites →https://doi.org/10.1109/access.2017.2742555openalex-snapshot
Mobility-Aware Coded Probabilistic Caching Scheme for MEC-Enabled Small Cell Networks
inferredcites →https://doi.org/10.1109/icc.2014.6883600openalex-snapshot
Learning-based optimization of cache content in a small cell base station
inferredcites →https://doi.org/10.1109/icc.2015.7249223openalex-snapshot
Delay performance analysis of cooperative cell caching in future mobile networks
inferredcites →https://doi.org/10.1109/iccw.2015.7247328openalex-snapshot
Cooperative content distribution for 5G systems based on distributed cloud service network
inferredcites →https://doi.org/10.1109/infcomw.2014.6849248openalex-snapshot
Mobile caching policies for device-to-device (D2D) content delivery networking
inferredcites →https://doi.org/10.1109/infcomw.2015.7179413openalex-snapshot
Caching-as-a-Service: Virtual caching framework in the cloud-based mobile networks
inferredcites →https://doi.org/10.1109/isit.2016.7541312openalex-snapshot
Joint Optimization of Cloud and Edge Processing for Fog Radio Access Networks
inferredcites →https://doi.org/10.1109/isit.2016.7541655openalex-snapshot
Cloud-aided wireless networks with edge caching: Fundamental latency trade-offs in fog Radio Access Networks
inferredcites →https://doi.org/10.1109/lcomm.2017.2664805openalex-snapshot
Cooperative Caching Placement in Cache-Enabled D2D Underlaid Cellular Network
inferredcites →https://doi.org/10.1109/lcomm.2017.2715014openalex-snapshot
Extensive Cooperative Caching in D2D Integrated Cellular Networks
inferredcites →https://doi.org/10.1109/mcom.2013.6495773openalex-snapshot
Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution
inferredcites →https://doi.org/10.1109/mcom.2014.6736746openalex-snapshot
Five disruptive technology directions for 5G
inferredcites →https://doi.org/10.1109/mcom.2014.6736753openalex-snapshot
Cache in the air: exploiting content caching and delivery techniques for 5G systems
inferredcites →https://doi.org/10.1109/mcom.2014.6871674openalex-snapshot
Living on the edge: The role of proactive caching in 5G wireless networks
inferredcites →https://doi.org/10.1109/mcom.2015.7295483openalex-snapshot
Wireless communications in the era of big data
inferredcites →https://doi.org/10.1109/tcomm.2014.2351796openalex-snapshot
Approximation Algorithms for Mobile Data Caching in Small Cell Networks
inferredcites →https://doi.org/10.1109/tcomm.2016.2536728openalex-snapshot
A Learning-Based Approach to Caching in Heterogenous Small Cell Networks
inferredcites →https://doi.org/10.1109/tit.2013.2281606openalex-snapshot
FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers
inferredcites →https://doi.org/10.1109/tit.2015.2504556openalex-snapshot
Fundamental Limits of Caching in Wireless D2D Networks
inferredcites →https://doi.org/10.1109/tmc.2016.2597851openalex-snapshot
Optimal Cooperative Content Caching and Delivery Policy for Heterogeneous Cellular Networks
inferredcites →https://doi.org/10.1109/twc.2014.2314643openalex-snapshot
FW-DAS: Fast Wireless Data Access Scheme in Mobile Networks
inferredcites →https://doi.org/10.1109/twc.2017.2689772openalex-snapshot
The Learning and Prediction of Application-Level Traffic Data in Cellular Networks
inferredcites →https://doi.org/10.1109/vtcspring.2017.8108572openalex-snapshot
Caching Policy Optimization for D2D Communications by Learning User Preference
inferredcites →https://doi.org/10.1109/wiopt.2015.7151068openalex-snapshot
A transfer learning approach for cache-enabled wireless networks
inferredcites →https://doi.org/10.1137/0108011openalex-snapshot
The Gradient Projection Method for Nonlinear Programming. Part I. Linear Constraints
inferredcites →https://doi.org/10.1186/s13638-015-0250-4openalex-snapshot
Cache-enabled small cell networks: modeling and tradeoffs
inferredcites →https://doi.org/10.4324/9781315015255openalex-snapshot
Systems of Cities and Facility Location
inferredcites →https://doi.org/10.5220/0004104001320137openalex-snapshot
Comparative Study of Collaborative Filtering Algorithms
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Edge computing: A systematic mapping study
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Proactive content caching in edge computing environment: A review
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Multi-MEC Cooperation Based VR Video Transmission and Cache Using K-Shortest Paths Optimization
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A Survey on Edge/Fog Caching Based on Deep Learning Algorithms
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EICache: A learning-based intelligent caching strategy in mobile edge computing
inferred← citeshttps://doi.org/10.1007/s13042-020-01178-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.comnet.2023.109864openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110490openalex-snapshot
Low-complexity collaborative caching strategy based on spatio-temporal graph convolutional model
inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112619openalex-snapshot
STSMC: A spatio-temporal defense mechanism against cache pollution attacks in LEO satellite edge CDNs
inferred← citeshttps://doi.org/10.1016/j.dcan.2022.03.019openalex-snapshot
Request pattern change-based cache pollution attack detection and defense in edge computing
inferred← citeshttps://doi.org/10.1016/j.future.2020.01.036openalex-snapshot
Classification of optimization problems in fog computing
inferred← citeshttps://doi.org/10.1016/j.future.2020.06.026openalex-snapshot
FellowMe Cache: Fog Computing approach to enhance (QoE) in Internet of Vehicles
inferred← citeshttps://doi.org/10.1016/j.future.2026.108782openalex-snapshot
Enhancing fog performance through content replacement and caching strategies using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1016/j.inffus.2018.10.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.inffus.2022.08.029openalex-snapshot
Information fusion on delivery: A survey on the roles of mobile edge caching systems
inferred← citeshttps://doi.org/10.1016/j.ins.2020.02.042openalex-snapshot
Privacy-preserving federated k-means for proactive caching in next generation cellular networks
inferred← citeshttps://doi.org/10.1016/j.iot.2026.101987openalex-snapshot
Dual convolutional neural networks deep learning for proactive caching to enhance the performance of fog/edge computing networks
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102786openalex-snapshot
Blockchain-based Data Trading in Edge-cloud Computing Environment
inferred← citeshttps://doi.org/10.1016/j.jnca.2021.103005openalex-snapshot
Applying machine learning techniques for caching in next-generation edge networks: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.jnca.2021.103308openalex-snapshot
Multi-access Edge Computing fundamentals, services, enablers and challenges: A complete survey
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Hierarchical placement of short videos in interactive edge computing environments based on popularity prediction
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Fog computing for sustainable smart cities in the IoT era: Caching techniques and enabling technologies - an overview
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A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic
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Wireless edge caching based on content similarity in dynamic environments
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Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey
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Multi-Agent Reinforcement Learning Based Cooperative Content Caching for Mobile Edge Networks
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Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey
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Joint Optimization of Caching and Computation in Multi-Server NOMA-MEC System via Reinforcement Learning
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Retracted: The Application of Edge Computing Technology in the Collaborative Optimization of Intelligent Transportation System Based on Information Physical Fusion
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DCoL: Distributed Collaborative Learning for Proactive Content Caching at Edge Networks
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Route-Based Proactive Content Caching Using Self-Attention in Hierarchical Federated Learning
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Zero Touch Management: A Survey of Network Automation Solutions for 5G and 6G Networks
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Mobile Edge Cooperative Caching Strategy Based on Spatio-temporal Graph Convolutional Model
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Learning-Based Cooperative Content Caching Policy for Mobile Edge Computing
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Enhancing Edge Caching Efficiency: Leveraging Social and Context-Aware Popularity Rank Prediction via Transfer Learning
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Hybrid DBSCAN based Community Detection for Edge Caching in Social Media Applications
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Joint Optimization of Cooperative Edge Caching and Radio Resource Allocation in 5G-Enabled Massive IoT Networks
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