Telefonaktiebolaget LM Ericsson had 206 patents in artificial intelligence during Q4 2023. The patents filed by Telefonaktiebolaget LM Ericsson in Q4 2023 relate to various aspects of wireless communication technology. These include methods for selecting transmit power, physical resource blocks, and modulation schemes for grant-free uplink transmission, detection of radio signals using match filters and classifiers, setting up parallel discussion groups in teleconferences, user-specific network analytics for application data services, and facilitating control of antenna tilt for radio base stations using machine learning models. These innovations aim to improve efficiency, reduce computational complexity, and enhance user experience in wireless communication networks. GlobalData’s report on Telefonaktiebolaget LM Ericsson gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
Access deeper industry intelligence
Experience unmatched clarity with a single platform that combines unique data, AI, and human expertise.
Telefonaktiebolaget LM Ericsson grant share with artificial intelligence as a theme is 14% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method, device and apparatus for optimizing grant free uplink transmission of machine to machine (M2M) type devices (Patent ID: US20230422277A1)
The patent filed by Telefonaktiebolaget LM Ericsson relates to a method, device, and computer-readable media for selecting transmit power, physical resource block (PRB), and modulation and coding scheme (MCS) for grant-free uplink transmission. The method involves obtaining an observation of the radio environment of the device and selecting an action based on the observation for execution during the next time slot, which includes determining the transmit power, PRB, and MCS for the transmission. The device is designed to operate in machine-to-machine (M2M) communication scenarios and considers factors such as packet buffer length, channel conditions, and power management state in making transmission decisions.
The system utilizes trained neural networks, both actors and critics, to select actions and optimize rewards based on previous actions, observations, and rewards. The actor neural network determines the action to be taken, while the critic neural network evaluates the current state based on observed environment conditions. The training of these networks can be done either locally on the device or in a cloud computing environment, with the possibility of broadcasting critical information to multiple devices via radio channels. Overall, the patent outlines a sophisticated method and device for efficient uplink transmission selection in wireless communication systems, particularly in M2M applications, leveraging neural networks and cloud computing for enhanced decision-making capabilities.
To know more about GlobalData’s detailed insights on Telefonaktiebolaget LM Ericsson, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
