A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …
that solve problems and enable automation in diverse domains. Primarily, this is due to the …
A Review on Machine Learning Strategies for Real‐World Engineering Applications
Huge amounts of data are circulating in the digital world in the era of the Industry 5.0
revolution. Machine learning is experiencing success in several sectors such as intelligent …
revolution. Machine learning is experiencing success in several sectors such as intelligent …
Digital twin for networking: A data-driven performance modeling perspective
Emerging technologies and applications make the network unprecedentedly complex and
heterogeneous, leading the network operations to be costly and risky. The digital twin …
heterogeneous, leading the network operations to be costly and risky. The digital twin …
Cognition-based networks: A new perspective on network optimization using learning and distributed intelligence
In response to the new challenges in the design and operation of communication networks,
and taking inspiration from how living beings deal with complexity and scalability, in this …
and taking inspiration from how living beings deal with complexity and scalability, in this …
Machine learning for end-to-end congestion control
End-to-end congestion control has been extensively studied for over 30 years as one of the
most important mechanisms to ensure efficient and fair sharing of network resources among …
most important mechanisms to ensure efficient and fair sharing of network resources among …
On leveraging machine and deep learning for throughput prediction in cellular networks: Design, performance, and challenges
The highly dynamic wireless communication environment poses a challenge for many
applications (eg, adaptive multimedia streaming services). Providing accurate TP can …
applications (eg, adaptive multimedia streaming services). Providing accurate TP can …
Machine learning prediction approach to enhance congestion control in 5G IoT environment
The 5G network is a next-generation wireless form of communication and the latest mobile
technology. In practice, 5G utilizes the Internet of Things (IoT) to work in high-traffic networks …
technology. In practice, 5G utilizes the Internet of Things (IoT) to work in high-traffic networks …
Improving TCP congestion control with machine intelligence
In a TCP/IP network, a key to ensure efficient and fair sharing of network resources among
its users is the TCP congestion control (CC) scheme. Previously, the design of TCP CC …
its users is the TCP congestion control (CC) scheme. Previously, the design of TCP CC …
Machine learning optimization techniques: a Survey, classification, challenges, and Future Research Issues
K Bian, R Priyadarshi - Archives of Computational Methods in Engineering, 2024 - Springer
Optimization approaches in machine learning (ML) are essential for training models to
obtain high performance across numerous domains. The article provides a comprehensive …
obtain high performance across numerous domains. The article provides a comprehensive …
QoE-based low-delay live streaming using throughput predictions
Recently, Hypertext Transfer Protocol (HTTP)-based adaptive streaming has become the de
facto standard for video streaming over the Internet. It allows clients to dynamically adapt …
facto standard for video streaming over the Internet. It allows clients to dynamically adapt …