The adoption of Software Define Networking (SDN), Network Function Virtualization (NFV) and Machine Learning (ML) will play a key role in the control and management of 5G network slices to fulfill the specific requirements of application/services and the new requirements of fifth generation (5G) networks. In this research, we propose a distributed architecture to perform network analytics applying ML techniques in the context of network operation and control of 5G networks.Peer ReviewedPostprint (published version
In this paper, we provide an analysis of selforganized network management, with an end-to-end perspe...
Driven by the demand to accommodate today’s growing mobile traffic, 5G is designed to be a key enabl...
This white paper on AI/ML as enablers of 5G and B5G networks is based on contributions from 5G PPP p...
Application of intelligent data analytics using machine learning in management of 5G networks can en...
Meeting 5G high bandwidth rates, ultra-low latencies, and high reliabilities requires of network inf...
With the advent of 5G technology and an ever-increasing traffic demand, today Communication Service ...
The evolution of fifth-generation (5G) and Beyond mobile technologies is spurred by the rapid demand...
Recent advances, related to the concepts of Artificial Intelligence (AI) and Machine Learning (ML) a...
5G represents the next generation of communication networks and services, and will bring a new set o...
Recent advances, related to the concepts of Artificial Intelligence (AI) and Machine Learning (ML) a...
Recent advances, related to the concepts of Artificial Intelligence (AI) and Machine Learning (ML) a...
The adoption of Software Define Networking, Network Function Virtualization and Machine Learning wil...
The vision of the future 5G corresponds to a highly heterogeneous network at different levels; the i...
The 5G wireless network standard was created through the 3rd Generation Partnership Project as the n...
Limitations in the software architecture of current network management tools such as lack of support...
In this paper, we provide an analysis of selforganized network management, with an end-to-end perspe...
Driven by the demand to accommodate today’s growing mobile traffic, 5G is designed to be a key enabl...
This white paper on AI/ML as enablers of 5G and B5G networks is based on contributions from 5G PPP p...
Application of intelligent data analytics using machine learning in management of 5G networks can en...
Meeting 5G high bandwidth rates, ultra-low latencies, and high reliabilities requires of network inf...
With the advent of 5G technology and an ever-increasing traffic demand, today Communication Service ...
The evolution of fifth-generation (5G) and Beyond mobile technologies is spurred by the rapid demand...
Recent advances, related to the concepts of Artificial Intelligence (AI) and Machine Learning (ML) a...
5G represents the next generation of communication networks and services, and will bring a new set o...
Recent advances, related to the concepts of Artificial Intelligence (AI) and Machine Learning (ML) a...
Recent advances, related to the concepts of Artificial Intelligence (AI) and Machine Learning (ML) a...
The adoption of Software Define Networking, Network Function Virtualization and Machine Learning wil...
The vision of the future 5G corresponds to a highly heterogeneous network at different levels; the i...
The 5G wireless network standard was created through the 3rd Generation Partnership Project as the n...
Limitations in the software architecture of current network management tools such as lack of support...
In this paper, we provide an analysis of selforganized network management, with an end-to-end perspe...
Driven by the demand to accommodate today’s growing mobile traffic, 5G is designed to be a key enabl...
This white paper on AI/ML as enablers of 5G and B5G networks is based on contributions from 5G PPP p...