{
  "patent_number": "US 20230412513",
  "country": "US",
  "title": "How 5G Networks Coordinate AI Models Across Different Devices",
  "original_title": "Providing distributed ai models in communication networks and related nodes/devices",
  "summary": "A method for 5G networks to translate AI requirements into network performance settings so that AI models can run efficiently across cloud, edge, and local devices.",
  "what_it_does": "This patent describes a 'translation node' that acts as a bridge between an AI application and the underlying cellular network. It takes information about how an AI model is structured—specifically, its Model Deployment Map (MDM)—and converts that into concrete Quality of Service (QoS) parameters like required bandwidth or latency. By providing these parameters alongside the AI model, the network can intelligently decide where to run specific parts of the model, such as on a local device, an edge server, or a centralized cloud. For example, if an AI model for a self-driving car needs a specific inference time to be safe, this system ensures the network allocates the necessary resources to meet that target.",
  "what_it_does_not_cover": [
    "Does not cover the internal architecture or training methods of the AI models themselves.",
    "Does not cover hardware-specific AI acceleration techniques like custom NPU or GPU chip designs.",
    "Does not cover general network routing protocols that do not involve AI model distribution.",
    "Does not cover user-level application interfaces or how the AI results are presented to the end user."
  ],
  "filed": "2020-11-26",
  "granted": null,
  "expires": "2040-11-26",
  "status": "active",
  "holder": "Telefonaktiebolaget LM Ericsson AB",
  "holder_url": "https://patentbrief.org/company/telefonaktiebolaget-lm-ericsson-ab",
  "inventors": [
    {
      "name": "Massimo CONDOLUCI",
      "url": "https://patentbrief.org/inventor/massimo-condoluci"
    },
    {
      "name": "Yifei Jin",
      "url": "https://patentbrief.org/inventor/yifei-jin"
    },
    {
      "name": "Zhang Fu",
      "url": "https://patentbrief.org/inventor/zhang-fu"
    }
  ],
  "times_cited": 17,
  "tags": [
    "telecommunications",
    "ai_ml",
    "consumer_electronics"
  ],
  "abstract": "In the present disclosure, methods of operating a translation node in a communication network are discussed. The translation node receives Application service information for an application service, a distributed Artificial Intelligence AI model for the application service, and Model Deployment Map MDM information for the application service, translates the MDM information for the application service into network Quality of Service QoS parameters for the application service, and provides the distributed AI model with the network QoS parameters for distribution to at least one other node of the communication network. Related methods of operating SMF and NDWAF nodes are also discussed.",
  "url": "https://patentbrief.org/patent/us/20230412513/providing-distributed-ai-models-in-communication-networks-and-related-nodesdevic",
  "markdown_url": "https://patentbrief.org/patent/us/20230412513/providing-distributed-ai-models-in-communication-networks-and-related-nodesdevic/md",
  "google_patents_url": "https://patents.google.com/patent/US20230412513",
  "relatedPatents": []
}