Patents by Inventor Julien Forgeat

Julien Forgeat 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).

  • Patent number: 12137397
    Abstract: A system, method and architecture for network-assisted scanning of a surrounding environment. In one example arrangement, the system is operative for receiving one or more pieces of environmental data from a plurality of collection agents, each collection agent operating with a plurality of sensors configured to sense data relating to a respective location area of an environment, wherein the one or more environmental data is received responsive to determining that a portion of the environmental data is necessary for updating a consumption point report. Based on the received data, an updated consumption point report may be generated, which may be transmitted to a data consumption point.
    Type: Grant
    Filed: December 19, 2022
    Date of Patent: November 5, 2024
    Assignee: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
    Inventors: Vladimir Katardjiev, Julien Forgeat, Meral Shirazipour, Dmitri Krylov
  • Publication number: 20240196231
    Abstract: A method of a collaboration server for identifying cells of a mobile network for machine learning collaboration is provided. The mobile network includes a plurality of cells. The method includes managing collection of features for the plurality of cells to generate at least one feature vector for each of the plurality of cells, determining a cluster of cells within the plurality of cells based on similarity in feature vectors between at least two cells in the plurality of cells, sending cluster information to each cell of the cluster, receiving cluster pre-check information from each cell of the cluster, and determining a first cell and a second cell in the cluster to collaborate for machine learning based on the received pre-check information.
    Type: Application
    Filed: October 7, 2020
    Publication date: June 13, 2024
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Hasan FAROOQ, Julien FORGEAT, Meral SHIRAZIPOUR, Shruti BOTHE
  • Publication number: 20240172001
    Abstract: A method and system for a training manager for generating diagnosis models for mobile networks. The method including selecting automatically a set of parameters for an action to be simulated in a simulated network where the simulated network replicates a target network for a diagnosis model, executing a simulation of an operation of a network based on the set of parameters of the action to generate an output of the simulation including a set of network performance metrics, transforming output of the simulation into training data for the diagnosis model, training the diagnosis model with the training data, and outputting the diagnosis model for the target network, in response to the diagnosis model meeting a designated quality threshold.
    Type: Application
    Filed: March 30, 2021
    Publication date: May 23, 2024
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Hasan FAROOQ, Maxime BOUTON, Julien FORGEAT, Meral SHIRAZIPOUR, Shruti BOTHE
  • Patent number: 11878713
    Abstract: A system, method and architecture for providing driving recommendations to a vehicle based on network-assisted scanning of a surrounding environment. In one embodiment, the system is operative for receiving environmental data from one or more collection agents, each operating with a plurality of sensors configured to sense data relating to the environment. At least one collection agent is operative in association with the vehicle for providing vehicular condition data and vehicular navigation data. Road condition information and obstacle condition information relating to a road segment, the vehicle is traversing may be obtained. Responsive to the road condition/navigation data, vehicle type and positioning, etc., a routing path over the road segment may be determined. In one configuration, the routing path may be presented via a display (e.g., AR/MR) associated with the vehicle.
    Type: Grant
    Filed: April 25, 2022
    Date of Patent: January 23, 2024
    Assignee: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
    Inventors: Vladimir Katardjiev, Julien Forgeat, Meral Shirazipour, Dmitri Krylov
  • Publication number: 20240022950
    Abstract: A method of a node in a radio access network that optimizes radio access network operations. The method of the node includes determining a topology of the radio access network, exchanging optimization information and network metric information with neighbor nodes in the topology, determining an updated local configuration for the node based on a negotiated optimization with the neighbor nodes, and updating an optimization function based on collected updated network metric information of the node executing the updated local configuration.
    Type: Application
    Filed: December 9, 2020
    Publication date: January 18, 2024
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Maxime BOUTON, Hasan FAROOQ, Julien FORGEAT, Shruti BOTHE, Meral SHIRAZIPOUR
  • Publication number: 20240015554
    Abstract: According to some embodiments, a method performed by a network node for validating minimization of drive test (MDT) reports comprises: receiving a MDT report generated by a wireless device: determining to perform validation on the received MDT report: correlating the MDT report with MDT reports from one or more wireless devices in proximity to the wireless device to determine a first correlation value; determining a trust score for the MDT report based on one or more correlation values, the one or more correlation values at least comprising the first correlation value; determining whether the trust score is below a validation threshold; and upon determining the trust score is below the validation threshold, performing a corrective action with respect to the received MDT report.
    Type: Application
    Filed: November 11, 2020
    Publication date: January 11, 2024
    Inventors: Hasan FAROOQ, Julien FORGEAT, Michael LILJENSTAM, Meral SHIRAZIPOUR
  • Patent number: 11681970
    Abstract: A scheme (300) for facilitating automated AR-based rendering with respect to expert guidance or assistance provided in a connected work environment based on contextualization is disclosed. In one aspect, a method comprises a worker (102) requiring assistance with respect to a given task generating (302) one or more suitable queries. Responsive thereto, real-time context data is gathered (304), which may comprise data relating to the work environment. A remote expert (118) may generate (306) appropriate guidance relevant to the task and assistance query, which may be rendered as AR content (308) for worker consumption by using an AR rendering module (112). The worker (102) consumes or uses the AR content for performing (310) an action with respect to the task. The performance of the worker (102) may be used as a measure to improve the AR rendering in automated fashion (312, 314) using one or more machine learning modules (114).
    Type: Grant
    Filed: April 27, 2019
    Date of Patent: June 20, 2023
    Assignee: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Meral Shirazipour, Julien Forgeat, Alvin Jude Hari Haran, Per Karlsson
  • Publication number: 20230139760
    Abstract: A system, method and architecture for network-assisted scanning of a surrounding environment. In one example arrangement, the system is operative for receiving one or more pieces of environmental data from a plurality of collection agents, each collection agent operating with a plurality of sensors configured to sense data relating to a respective location area of an environment, wherein the one or more environmental data is received responsive to determining that a portion of the environmental data is necessary for updating a consumption point report. Based on the received data, an updated consumption point report may be generated, which may be transmitted to a data consumption point.
    Type: Application
    Filed: December 19, 2022
    Publication date: May 4, 2023
    Inventors: Vladimir Katardjiev, Julien Forgeat, Meral Shirazipour, Dmitri Krylov
  • Patent number: 11533589
    Abstract: A system, method and architecture for network-assisted scanning of a surrounding environment. In one example arrangement, the system is operative for receiving real world object identification and spatial mapping data relative to a plurality of real world scenarios sensed by sensing points, each operating as a collection agent configured to collect environmental data in association with a plurality of sensors. The data may be prioritized responsive to at least one of a determination of RAN resource capacity available to the collection agent, e.g., compute resources, storage resources, radio transmission resources, cost of the transmission capacity available to the collection agent, etc. in view of urgency/relevance of the data. Responsive to prioritizing the environmental data, one or more pieces of the environmental data may be transmitted to a nearest edge compute location and/or a cloud-based datacenter network node.
    Type: Grant
    Filed: July 24, 2018
    Date of Patent: December 20, 2022
    Assignee: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
    Inventors: Vladimir Katardjiev, Julien Forgeat, Meral Shirazipour, Dmitri Krylov
  • Patent number: 11509542
    Abstract: A method performed by a first network node operating in a communications network is disclosed. The method is for handling a performance of a radio access network (RAN) including one or more radio network nodes. The first network node determines a configuration of one or more parameters in the RAN based on one or more machine-implemented reinforcement learning (RL) procedures to optimize the performance of the RAN based on the one or more parameters. The RL procedures are further based on at least one of: i) one or more physical characteristics of a deployment of the RAN, ii) one or more radio characteristics of the RAN, and iii) a location of users or traffic load in the RAN. The first network node then initiates providing one or more indicators of the determined configuration to a second network node.
    Type: Grant
    Filed: April 24, 2019
    Date of Patent: November 22, 2022
    Assignee: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Meral Shirazipour, Julien Forgeat, Jaeseong Jeong
  • Publication number: 20220351024
    Abstract: A method determines outlier inputs for a machine learning system. The method includes receiving a classification and activation values of a trained classifier or a first input processed by the trained classifier, determining whether an entropy score derived from the first input is below a threshold entropy-based distance metric, and changing the classification in response to the entropy score not being below the threshold.
    Type: Application
    Filed: June 24, 2019
    Publication date: November 3, 2022
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Ali S. KHAYRALLAH, Meral SHIRAZIPOUR, Julien FORGEAT, Michael LILJENSTAM
  • Publication number: 20220250650
    Abstract: A system, method and architecture for providing driving recommendations to a vehicle based on network-assisted scanning of a surrounding environment. In one embodiment, the system is operative for receiving environmental data from one or more collection agents, each operating with a plurality of sensors configured to sense data relating to the environment. At least one collection agent is operative in association with the vehicle for providing vehicular condition data and vehicular navigation data. Road condition information and obstacle condition information relating to a road segment, the vehicle is traversing may be obtained. Responsive to the road condition/navigation data, vehicle type and positioning, etc., a routing path over the road segment may be determined. In one configuration, the routing path may be presented via a display (e.g., AR/MR) associated with the vehicle.
    Type: Application
    Filed: April 25, 2022
    Publication date: August 11, 2022
    Inventors: Vladimir Katardjiev, Julien Forgeat, Meral Shirazipour, Dmitri Krylov
  • Patent number: 11312392
    Abstract: A system, method and architecture for providing highly granular driving recommendations to a vehicle based on network-assisted scanning of a surrounding environment. In one embodiment, the system is operative for receiving environmental data from one or more collection agents, each operating with a plurality of sensors configured to sense data relating to the environment. At least one collection agent is operative in association with the vehicle for providing vehicular condition data and vehicular navigation data. The system is configured to calibrate the vehicle to identify a vehicle type responsive to the vehicular condition/navigation data. Road condition information and obstacle condition information relating to a road segment, the vehicle is traversing may also be obtained. Responsive to the road condition/navigation data, vehicle type and positioning, etc., an optimal racing line path over the road segment may be determined.
    Type: Grant
    Filed: September 18, 2018
    Date of Patent: April 26, 2022
    Assignee: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
    Inventors: Vladimir Katardjiev, Julien Forgeat, Meral Shirazipour, Dmitri Krylov
  • Publication number: 20220076066
    Abstract: A method generates synthetic data by a data collection system where the synthetic data meets a first threshold for accuracy and a second threshold for protecting sensitive data from recovery from the synthetic data. The method includes collecting data including sensitive data and non-sensitive data, executing a first machine learning model to generate the synthetic data from the collected data where the synthetic data meets the first threshold, executing a second machine learning model to update the synthetic data to meet the second threshold, checking whether the updated synthetic data meets the first threshold, releasing the updated synthetic data where the first threshold is met, and re-executing the first machine learning model and second machine learning model to update the synthetic data where the first threshold is not met during the checking.
    Type: Application
    Filed: January 18, 2019
    Publication date: March 10, 2022
    Inventors: Julien FORGEAT, Meral SHIRAZIPOUR, Ricardo SOUZA
  • Publication number: 20210368308
    Abstract: A system, method and architecture for network-assisted scanning of a surrounding environment. In one example arrangement, the system is operative for receiving real world object identification and spatial mapping data relative to a plurality of real world scenarios sensed by sensing points, each operating as a collection agent configured to collect environmental data in association with a plurality of sensors. The data may be prioritized responsive to at least one of a determination of RAN resource capacity available to the collection agent, e.g., compute resources, storage resources, radio transmission resources, cost of the transmission capacity available to the collection agent, etc. in view of urgency/relevance of the data. Responsive to prioritizing the environmental data, one or more pieces of the environmental data may be transmitted to a nearest edge compute location and/or a cloud-based datacenter network node.
    Type: Application
    Filed: July 24, 2018
    Publication date: November 25, 2021
    Inventors: Vladimir Katardjiev, Julien Forgeat, Meral Shirazipour, Dmitri Krylov
  • Publication number: 20210192413
    Abstract: A scheme (300) for facilitating automated AR-based rendering with respect to expert guidance or assistance provided in a connected work environment based on contextualization is disclosed. In one aspect, a method comprises a worker (102) requiring assistance with respect to a given task generating (302) one or more suitable queries. Responsive thereto, real-time context data is gathered (304), which may comprise data relating to the work environment. A remote expert (118) may generate (306) appropriate guidance relevant to the task and assistance query, which may be rendered as AR content (308) for worker consumption by using an AR rendering module (112). The worker (102) consumes or uses the AR content for performing (310) an action with respect to the task. The performance of the worker (102) may be used as a measure to improve the AR rendering in automated fashion (312, 314) using one or more machine learning modules (114).
    Type: Application
    Filed: April 27, 2019
    Publication date: June 24, 2021
    Inventors: Meral Shirazipour, Julien Forgeat, Alvin Jude Hari Haran, Per Karlsson
  • Publication number: 20210119881
    Abstract: A method performed by a first network node operating in a communications network is disclosed. The method is for handling a performance of a radio access network (RAN) including one or more radio network nodes. The first network node determines a configuration of one or more parameters in the RAN based on one or more machine-implemented reinforcement learning (RL) procedures to optimize the performance of the RAN based on the one or more parameters. The RL procedures are further based on at least one of: i) one or more physical characteristics of a deployment of the RAN, ii) one or more radio characteristics of the RAN, and iii) a location of users or traffic load in the RAN. The first network node then initiates providing one or more indicators of the determined configuration to a second network node.
    Type: Application
    Filed: April 24, 2019
    Publication date: April 22, 2021
    Inventors: Meral SHIRAZIPOUR, Julien FORGEAT, Jaeseong JEONG
  • Patent number: 10824960
    Abstract: A system and method are described herein for improving content-based (CB) filtering to find other items similar to a particular item. For example, the system and method can operate to (1) collect ground truth from users, experts or non-experts for a subset of items in a library; (2) build similarity model(s) against the collected ground truth and evaluate this/these similarity model(s) for generalizability to all items in the library, and (3) build recommendations for users based on knowledge elicited from the users themselves, combined with the similarity scores in the built similarity model(s).
    Type: Grant
    Filed: March 23, 2017
    Date of Patent: November 3, 2020
    Assignee: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
    Inventors: Alvin Jude Hari Haran, Julien Forgeat, Tong Yu
  • Publication number: 20200255026
    Abstract: A system, method and architecture for providing highly granular driving recommendations to a vehicle based on network-assisted scanning of a surrounding environment. In one embodiment, the system is operative for receiving environmental data from one or more collection agents, each operating with a plurality of sensors configured to sense data relating to the environment. At least one collection agent is operative in association with the vehicle for providing vehicular condition data and vehicular navigation data. The system is configured to calibrate the vehicle to identify a vehicle type responsive to the vehicular condition/navigation data. Road condition information and obstacle condition information relating to a road segment, the vehicle is traversing may also be obtained. Responsive to the road condition/navigation data, vehicle type and positioning, etc., an optimal racing line path over the road segment may be determined.
    Type: Application
    Filed: September 18, 2018
    Publication date: August 13, 2020
    Inventors: Vladimir Katardjiev, Julien Forgeat, Meral Shirazipour, Dmitri Krylov
  • Patent number: 10574545
    Abstract: Exemplary techniques for analytics-driven hybrid concurrency control in clouds are disclosed that include a hybrid resource allocation module that can concurrently utilize an optimistic allocation scheme alongside a pessimistic allocation scheme. Machine learning techniques utilizing previous activity history of applications can be used to train a cluster model that is integrated by a hybrid resource allocation module to classify applications in either a pessimistic cluster or an optimistic cluster that identifies under which scheme requests from the applications will be processed.
    Type: Grant
    Filed: June 11, 2018
    Date of Patent: February 25, 2020
    Assignee: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Eugen Feller, Julien Forgeat, Muhammad Mudassar Nazar