Patents by Inventor Poojita Thukral
Poojita Thukral has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Publication number: 20240127055Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.Type: ApplicationFiled: December 28, 2023Publication date: April 18, 2024Applicant: GOOGLE LLCInventors: James PEROULAS, Poojita THUKRAL, Dutt KALAPATAPU, Andreas TERZIS, Krishna SAYANA
-
Patent number: 11861453Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.Type: GrantFiled: November 2, 2022Date of Patent: January 2, 2024Assignee: GOOGLE LLCInventors: James Peroulas, Poojita Thukral, Dutt Kalapatapu, Andreas Terzis, Krishna Sayana
-
Publication number: 20230054625Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.Type: ApplicationFiled: November 2, 2022Publication date: February 23, 2023Applicant: GOOGLE LLCInventors: James PEROULAS, Poojita THUKRAL, Dutt KALAPATAPU, Andreas TERZIS, Krishna SAYANA
-
Patent number: 11507837Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.Type: GrantFiled: January 8, 2021Date of Patent: November 22, 2022Assignee: Google LLCInventors: James Peroulas, Poojita Thukral, Dutt Kalapatapu, Andreas Terzis, Krishna Sayana
-
Publication number: 20210133574Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.Type: ApplicationFiled: January 8, 2021Publication date: May 6, 2021Applicant: Google LLCInventors: James Peroulas, Poojita Thukral, Dutt Kalapatapu, Andreas Terzis, Krishna Sayana
-
Patent number: 10891546Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.Type: GrantFiled: April 29, 2019Date of Patent: January 12, 2021Assignee: Google LLCInventors: James Peroulas, Poojita Thukral, Dutt Kalapatapu, Andreas Terzis, Krishna Sayana
-
Publication number: 20200342311Abstract: A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.Type: ApplicationFiled: April 29, 2019Publication date: October 29, 2020Applicant: Google LLCInventors: James Peroulas, Poojita Thukral, Dutt Kalapatapu, Andreas Terzis, Krishna Sayana