17920170. MANAGING A NODE IN A COMMUNICATION NETWORK simplified abstract (Telefonaktiebolaget LM Ericsson (publ))

MANAGING A NODE IN A COMMUNICATION NETWORK

Organization Name

Telefonaktiebolaget LM Ericsson (publ)

Inventor(s)

[[:Category:Henrik Ryd�n of Stockholm (SE)|Henrik Ryd�n of Stockholm (SE)]][[Category:Henrik Ryd�n of Stockholm (SE)]]

David Sandberg of Sundbyberg (SE)

Mats Zachrison of Örebro (SE)

MANAGING A NODE IN A COMMUNICATION NETWORK - A simplified explanation of the abstract

This abstract first appeared for US patent application 17920170 titled 'MANAGING A NODE IN A COMMUNICATION NETWORK

Simplified Explanation

The abstract describes a method for managing a first node in a communication network using a Variational Autoencoder (VAE) to predict traffic distribution and configure radio resource parameters based on the prediction.

• The method uses a VAE to generate a predicted traffic distribution for the first node.
• The VAE is trained using historical data flows exchanged by the first node with other nodes in the communication network.
• The method configures at least one radio resource parameter of the first node based on the obtained predicted traffic distribution.

Potential Applications

• This technology can be applied in various communication networks, such as cellular networks, Wi-Fi networks, or IoT networks.
• It can be used to optimize resource allocation and improve network performance.
• The method can help in managing network congestion and ensuring efficient utilization of resources.

Problems Solved

• The method addresses the challenge of managing network nodes and optimizing resource allocation in communication networks.
• It solves the problem of predicting traffic distribution for a node based on historical data flows.
• The method provides a solution for configuring radio resource parameters based on the predicted traffic distribution.

Benefits

• The use of a VAE allows for accurate prediction of traffic distribution, enabling efficient resource allocation.
• By configuring radio resource parameters based on predicted traffic, network performance can be improved.
• The method provides a data-driven approach for managing network nodes, leading to better network efficiency and user experience.

Original Abstract Submitted

A method for managing a first node in a communication network is disclosed, wherein the first node is operable to exchange traffic flows with other nodes in the communication network. The method includes using a Variational Autoencoder (VAE) to generate a predicted traffic distribution for the first node, wherein the VAE has been trained using information about historical data flows exchanged by the first node with at least one other node in the communication network, and configuring at least one radio resource parameter of the first node based on the obtained predicted traffic distribution for the first node. Also disclosed are a method including training a VAE and nodes and a computer program product suitable for carrying out such methods.