Telefonaktiebolaget LM Ericsson had 115 patents in internet of things during Q4 2023. The patents filed by Telefonaktiebolaget LM Ericsson in Q4 2023 cover various innovative methods and devices. These include selecting transmit power, PRB, and MCS for grant-free uplink transmission based on radio environment observation, relay communication between user equipment, adjusting sensor network performance based on application goals, implementing QoS control for robot communication in cloud robotics systems, and group management of LwM2M devices over MQTT for efficient operations. 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 internet of things as a theme is 44% 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. The patent outlines a comprehensive approach to dynamically adjusting transmission parameters based on real-time radio environment observations, enhancing the efficiency and performance of grant-free uplink transmissions in wireless communication systems.
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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.
