AUTOMATIC CLUSTERING-BASED COMMUNICATION NETWORK MANAGEMENT
案件概要
発明者
Alberto Rosas; Arjun Coimbatore Nagarasan; Anna Mai; Bhargavee Kannikanti; Sravan Kumar Kannuri; Sriram Kothandaraman
IPC分類
CPC分類
A processing system may generate vector embeddings from network operational data of a communication network. The processing system may next apply a variational autoencoder to the vector embeddings to create a set of stratified samples, where the set of stratified samples comprises at least a first portion of the plurality of vector embeddings. In addition, the processing system may train a self-organizing map using the stratified samples to create a plurality of clusters. The processing system may next apply the self-organizing map to at least a second portion of the plurality of vector embeddings to assign the at least the second portion to respective clusters of the plurality of clusters. The processing system may then identify at least one characteristic associated with at least one cluster and may perform at least one remedial action in the communication network in response to the identifying of the at least one characteristic.
原文(中国語)
A processing system may generate vector embeddings from network operational data of a communication network. The processing system may next apply a variational autoencoder to the vector embeddings to create a set of stratified samples, where the set of stratified samples comprises at least a first portion of the plurality of vector embeddings. In addition, the processing system may train a self-organizing map using the stratified samples to create a plurality of clusters. The processing system may next apply the self-organizing map to at least a second portion of the plurality of vector embeddings to assign the at least the second portion to respective clusters of the plurality of clusters. The processing system may then identify at least one characteristic associated with at least one cluster and may perform at least one remedial action in the communication network in response to the identifying of the at least one characteristic.
外部リソース