Automated intelligent self-organizing network for optimizing network performance
US10728773B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 26, 2018 |
| Grant date | Jul 28, 2020 |
| Priority date | — |
| Expiry date | Jan 26, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W84/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A Self-Organizing Network (SON) collects data pertaining to a first number of cells of a wireless network. The SON splits the collected data into a second number of groups, and, for each of the second number of groups, repeatedly set a third number of clusters to a different number between a low limit and a high limit. The SON, for each of the settings, clusters the cells into the third number of clusters and trains a deep neural network to perform a regression analysis on the third number of clusters. For each of the second number of groups, the SON also determines an optimum number of clusters based on the regression analyses, re-clusters the cells into the optimum number of clusters; and tunes engineering parameters based on the re-clustering to optimize performance of the wireless network and quality of experience pertaining to the wireless network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.