ViaSat had one patents in big data during Q1 2024. ViaSat Inc filed a patent for methods, systems, and devices for tuning RF apparatus configuration settings using a machine learning engine. The system includes a tuner that searches for a target configuration setting to optimize performance based on defined bounds. GlobalData’s report on ViaSat gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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ViaSat had no grants in big data as a theme in Q1 2024.
Recent Patents
Application: Machine learning based tuning of radio frequency apparatuses (Patent ID: US20240044961A1)
The patent filed by ViaSat Inc. describes methods, systems, and devices for tuning the configuration settings of RF apparatuses using a machine learning engine. The system includes a radio frequency apparatus that operates based on various configuration settings to generate an output signal with a specific performance metric. A tuner with a machine learning engine is used to search for a target configuration setting that meets defined optimization threshold values, enhancing the performance of the RF apparatus.
The system further includes a tester that controls the RF apparatus based on test configuration settings identified by the tuner, optimizing parameters such as amplitude variation, output power, and spectral emissions. The machine learning engine executes a Bayesian optimization algorithm to identify test configuration settings based on historic performance metrics, improving the overall performance of the RF apparatus. The method involves applying a machine learning model to generate test configuration settings, comparing performance evaluation data to a target dataset to determine optimal settings, and updating the machine learning model based on performance data. The computer program product associated with the patent allows for controlling the RF apparatus, updating the machine learning model, and determining test configuration settings for optimal performance in digital communications networks.
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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.
