Patents by Inventor Shaofeng YAO

Shaofeng YAO 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: 11979295
    Abstract: The present disclosure discloses a reinforcement learning agent training method, modal bandwidth resource scheduling method and apparatus. The reinforcement learning agent training method utilizes a reinforcement learning agent to continuously interact with a network environment in a polymorphic smart network to obtain the latest global network characteristics and output updated actions. By adjusting the bandwidth occupied by modals, a reward value is set to determine an optimization target for the agent, the scheduling of modals is realized, and the rational use of polymorphic smart network resources is guaranteed. The trained reinforcement learning agent is applied to the modal bandwidth resource scheduling method, and can adapt to networks with different characteristics, and thus can be used for intelligent management and control of polymorphic smart networks and has good adaptability and scheduling performance.
    Type: Grant
    Filed: July 26, 2023
    Date of Patent: May 7, 2024
    Assignee: ZHEJIANG LAB
    Inventors: Congqi Shen, Huifeng Zhang, Shaofeng Yao, Qi Xu, Ruyun Zhang
  • Publication number: 20240015079
    Abstract: The present disclosure discloses a reinforcement learning agent training method, modal bandwidth resource scheduling method and apparatus. The reinforcement learning agent training method utilizes a reinforcement learning agent to continuously interact with a network environment in a polymorphic smart network to obtain the latest global network characteristics and output updated actions. By adjusting the bandwidth occupied by modals, a reward value is set to determine an optimization target for the agent, the scheduling of modals is realized, and the rational use of polymorphic smart network resources is guaranteed. The trained reinforcement learning agent is applied to the modal bandwidth resource scheduling method, and can adapt to networks with different characteristics, and thus can be used for intelligent management and control of polymorphic smart networks and has good adaptability and scheduling performance.
    Type: Application
    Filed: July 26, 2023
    Publication date: January 11, 2024
    Inventors: Congqi SHEN, Huifeng ZHANG, Shaofeng YAO, Qi XU, Ruyun ZHANG
  • Patent number: 11870560
    Abstract: A geographical identification forwarding method for area-oriented addressing. The geographic location information is used as a transmission identification, and the communication process based on the geographical identification is realized by constructing the SDN-based geographical identification transmission architecture. In this method, a geographical identification is used instead of a traditional IP identification for network transmission, which effectively alleviates the problem of narrow waist of IP single bearing in the current network. At the same time, through a flow table decomposition design, the flow table size of the switch is effectively controlled. The method provided by the present invention can be extended to a plurality of geographical identification areas to realize large-area real-time cross-domain transmission.
    Type: Grant
    Filed: October 17, 2022
    Date of Patent: January 9, 2024
    Assignee: ZHEJIANG LAB
    Inventors: Congqi Shen, Shaofeng Yao, Zhongxia Pan, Hanguang Luo, Tao Zou
  • Publication number: 20230047278
    Abstract: A geographical identification forwarding method for area-oriented addressing. The geographic location information is used as a transmission identification, and the communication process based on the geographical identification is realized by constructing the SDN-based geographical identification transmission architecture. In this method, a geographical identification is used instead of a traditional IP identification for network transmission, which effectively alleviates the problem of narrow waist of IP single bearing in the current network. At the same time, through a flow table decomposition design, the flow table size of the switch is effectively controlled. The method provided by the present invention can be extended to a plurality of geographical identification areas to realize large-area real-time cross-domain transmission.
    Type: Application
    Filed: October 17, 2022
    Publication date: February 16, 2023
    Inventors: Congqi SHEN, Shaofeng YAO, Zhongxia PAN, Hanguang LUO, Tao ZOU