Network attribute analysis
AssigneeTelefonaktiebolaget LM Ericsson (publ)
InventorsZhongwen Zhu, Abdelwahab Hamou-Lhadj, Salman Memon, Alka Isac
Life of this patent
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Abstract
There is provided a computer-implemented method for analysing one or more network attributes of a network. One or more first network attributes of the network are analysed using a first machine learning model to generate a first output comprising information about an event in the network. If an estimated confidence level for the first output is less than a confidence level threshold, the one or more first network attributes are analysed using a second machine learning model to generate a second output. The second output is indicative of one or more second network attributes of the network to analyse using the first machine learning model.
Claims19
A method performed by processing circuitry of a first entity for processing one or more network attributes of a network, the method comprising:
- processing one or more first network attributes of the network using a first machine learning model to generate a first output comprising information about an event in the network;
- if an estimated confidence level for the first output is less than a confidence level threshold, processing the one or more first network attributes using a second machine learning model to generate a second output, the second output being indicative of one or more second network attributes of the network to process using the first machine learning model;
- repeating the method for one or more iterations, for each iteration of the one or more iterations, if a second output is generated, the one or more second network attributes from the iteration are processed using the first machine learning model in the subsequent iteration;
- and
- initiating a reconfiguration in the network for the one or more second network attributes to be acquired.
A computer-implemented method performed by processing circuitry of a second entity for processing for training a machine learning model to process one or more network attributes of a network, the method comprising:
- training a first machine learning model to process one or more first network attributes of the network to generate a first output comprising information about an event in the network;
- training a second machine learning model to process the one or more first network attributes to generate a second output if an estimated confidence level for the first output is less than a confidence level threshold, the second output being indicative of one or more second network attributes of the network to process using the first machine learning model, if a second output is generated, the one or more second network attributes from an iteration are processed using the first machine learning model in a subsequent iteration;
- and
- initiating a reconfiguration in the network for the one or more second network attributes to be acquired.
A computer program comprising instructions stored in a non-transitory medium which, when executed by processing circuitry, cause the processing circuitry to perform a method according to for processing one or more network attributes of a network, the method comprising:
- processing one or more first network attributes of the network using a first machine learning model to generate a first output comprising information about an event in the network;
- if an estimated confidence level for the first output is less than a confidence level threshold, processing the one or more first network attributes using a second machine learning model to generate a second output, the second output being indicative of one or more second network attributes of the network to process using the first machine learning model;
- repeating the method for one or more iterations, for each iteration of the one or more iterations, if a second output is generated, the one or more second network attributes from the iteration are processed using the first machine learning model in the subsequent iteration;
- and
- initiating a reconfiguration in the network for the one or more second network attributes to be acquired.
Dependencies are inferred from the claim text.