Patents by Inventor Leifeng Ruan

Leifeng Ruan 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: 20220167262
    Abstract: Systems, apparatuses, methods, and computer-readable media, are provided for selecting edge or central servers for serving client systems based on network events monitored by one or more network elements. Embodiments may be relevant to multi-access edge computing (MEC) and Automotive Edge Computing Consortium (AECC) technologies. Other embodiments may be described and/or claimed.
    Type: Application
    Filed: December 2, 2021
    Publication date: May 26, 2022
    Inventors: Zongrui Ding, Qian Li, Xiaopeng Tong, Leifeng Ruan
  • Patent number: 11234204
    Abstract: Systems, apparatuses, methods, and computer-readable media, are provided for selecting edge or central servers for serving client systems based on network events monitored by one or more network elements. Embodiments may be relevant to multi-access edge computing (MEC) and Automotive Edge Computing Consorium (AECC) technologies. Other embodiments may be described and/or claimed.
    Type: Grant
    Filed: February 10, 2020
    Date of Patent: January 25, 2022
    Assignee: Intel Corporation
    Inventors: Zongrui Ding, Qian Li, Xiaopeng Tong, Leifeng Ruan
  • Publication number: 20220012645
    Abstract: Apparatuses for non real-time (Non-RT) radio access network intelligence controller (RIC) services for machine learning (ML) in an open radio access network (O-RAN) and apparatuses for Near-RT RIC services are disclosed. The services include ML capability query, federated learning session creation, federated learning session deletion, global model download/update, local model upload/update, global model status query, local model status query, global model status notification, and local model status notification. The services may be performed over the A1 interface using HTTP.
    Type: Application
    Filed: September 23, 2021
    Publication date: January 13, 2022
    Inventors: Dawei Ying, Leifeng Ruan, Jaemin Han, Qian Li, Geng Wu
  • Publication number: 20220014942
    Abstract: Apparatuses for non real-time (Non-RT) radio access network intelligence controller (RIC) and Near-RT RIC services for machine learning (ML) model management in an open radio access network (O-RAN) are disclosed. The services include ML model monitoring, getting and putting ML models from and to an A1-ML producer and an A1-ML consumer, and terminating the use of an ML mode. The ML model monitoring includes the A1-ML consumer sending monitoring data to the A1-ML producer and the A1-ML producer processing the monitoring data and taking actions based on the monitoring data. The services may be performed over the A1 interface using HTTP.
    Type: Application
    Filed: September 24, 2021
    Publication date: January 13, 2022
    Inventors: Dawei Ying, Jaemin Han, Leifeng Ruan, Qian Li, Geng Wu
  • Publication number: 20210204148
    Abstract: Systems for providing SON functions running on an O-RAN RIC are described. To provide resource allocation for a non-real time RIC, the SON function monitors at least one RAN through collection of data from a network function. The data is analyzed to determine whether a network issue is present and, if so, is to be resolved. The SON function determines a SON action to be executed to resolve the network issue, and subsequently executes the SON action. Performance measurements of the network function are collected after execution of the SON action. The performance measurements are analyzed to evaluate whether the SON action has resolved the network issues and, if the network issues are not resolved, further SON actions are determined and subsequently executed.
    Type: Application
    Filed: January 6, 2021
    Publication date: July 1, 2021
    Inventors: Joey Chou, Puneet Jain, Leifeng Ruan
  • Publication number: 20210184989
    Abstract: A data-centric network and non-Real-Time (RT) RAN Intelligence Controller (RIC) architecture are described. The data-centric network architecture provides data plane functions (DPFs) that serve as a shared database for control functions, user functions and management functions for data plane resources in a network. The DPFs interact with control plane functions, user plane functions, management plane functions, compute plane functions, network exposure functions, and application functions of the NR network via a service interface. The non-RT RIC provides functions via rApps, manages the rApps, performs conflict mitigation and security functions, monitors machine learning (ML) performance, provides a ML model catalog that contains ML model information, provides interface terminations and stores ML data and Near-RT RIC related information in a database. An ML training host trains and evaluates ML models in the catalog, obtains training and testing data from the database, and retrains and updates the ML models.
    Type: Application
    Filed: February 26, 2021
    Publication date: June 17, 2021
    Inventors: Geng Wu, Leifeng Ruan, Qian Li, Dawei Ying
  • Publication number: 20210099848
    Abstract: Systems, apparatuses, methods, and computer-readable media, are provided for managing background data transfer sessions based on network events monitored by one or more network elements. Embodiments may be relevant to multi-access edge computing (MEC) and Automotive Edge Computing Consortium (AECC) technologies. Other embodiments may be described and/or claimed.
    Type: Application
    Filed: June 5, 2019
    Publication date: April 1, 2021
    Inventors: Leifeng RUAN, Soo Jin TAN, Xiaopeng TONG, Dario SABELLA, Qian LI, Zongrui DING
  • Publication number: 20200178198
    Abstract: Systems, apparatuses, methods, and computer-readable media, are provided for selecting edge or central servers for serving client systems based on network events monitored by one or more network elements. Embodiments may be relevant to multi-access edge computing (MEC) and Automotive Edge Computing Consortium (AECC) technologies. Other embodiments may be described and/or claimed.
    Type: Application
    Filed: February 10, 2020
    Publication date: June 4, 2020
    Inventors: Zongrui Ding, Qian Li, Xiaopeng Tong, Leifeng Ruan