Telefonaktiebolaget LM Ericsson had 18 patents in cloud during Q4 2023. The patents filed by Telefonaktiebolaget LM Ericsson in Q4 2023 focus on methods for operating translation nodes in communication networks, a multisession remote game scheme in a distributed network architecture, instantiation of network services or virtualized network functions, and a method for operating a scaling entity in a container-based cloud infrastructure. These patents aim to improve network performance, manage gaming sessions efficiently, and enhance the deployment and scaling of network services. GlobalData’s report on Telefonaktiebolaget LM Ericsson gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Telefonaktiebolaget LM Ericsson grant share with cloud as a theme is 16% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Providing distributed ai models in communication networks and related nodes/devices (Patent ID: US20230412513A1)
The patent filed by Telefonaktiebolaget LM Ericsson discusses methods for operating a translation node in a communication network. The translation node receives application service information, a distributed AI model, and Model Deployment Map (MDM) information for the application service. It then translates the MDM information into network Quality of Service (QoS) parameters and provides these parameters to the distributed AI model for distribution to other nodes in the network. The patent also covers methods for operating Service Management Function (SMF) and Network Data Analytics Function (NDWAF) nodes.
The claims in the patent detail various aspects of the method, including translating MDM information into network QoS parameters, providing the AI model with QoS parameters, aligning QoS parameters for different application services, integrating the translation node in a network exposure function or policy control function, acquiring and distributing AI models for communication devices, and reporting alarms based on network QoS parameters. The patent aims to optimize the distribution of AI models in a communication network by leveraging network QoS parameters and MDM information to enhance performance and efficiency.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
