20240044961. MACHINE LEARNING BASED TUNING OF RADIO FREQUENCY APPARATUSES simplified abstract (VIASAT, INC.)

MACHINE LEARNING BASED TUNING OF RADIO FREQUENCY APPARATUSES

Organization Name

VIASAT, INC.

Inventor(s)

Bala Krishna Juluri of San Diego CA (US)

Andrew S. Chika of San Diego, CA (US)

Justin M. Hallas of San Marcos CA (US)

Timothy M. Beck of San Marcos CA (US)

MACHINE LEARNING BASED TUNING OF RADIO FREQUENCY APPARATUSES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240044961 titled 'MACHINE LEARNING BASED TUNING OF RADIO FREQUENCY APPARATUSES

Simplified Explanation

The patent application describes methods, systems, and/or devices for tuning the configuration settings of one or more RF apparatuses. The system includes a radio frequency apparatus that operates based on multiple configuration settings to generate an output signal with a performance metric. It also includes a tuner with a machine learning engine that has a training stage and an inference stage. The inference stage uses a machine learning model to search for the target configuration setting that results in the performance metric meeting defined bounds of an optimization threshold value.

• The system allows for tuning the configuration settings of RF apparatuses.
• It uses a machine learning engine to search for the optimal configuration setting.
• The machine learning model is trained to find the target configuration setting.
• The performance metric of the output signal is used to evaluate the configuration settings.

Potential applications of this technology:

• Wireless communication systems
• Radio frequency devices
• Network optimization
• Signal processing

Problems solved by this technology:

• Finding the optimal configuration setting for RF apparatuses
• Improving the performance of RF apparatuses
• Reducing interference and noise in wireless communication systems

Benefits of this technology:

• Enhanced performance and efficiency of RF apparatuses
• Improved signal quality and reliability in wireless communication systems
• Automated tuning process for configuration settings
• Optimization of network performance and throughput

Original Abstract Submitted

methods, systems, and/or devices for tuning the configuration settings of one or more rf apparatuses are provided. various embodiments described herein regard a system that includes a radio frequency apparatus configured to operate based on a plurality of possible configuration settings to generate an output signal that is characterized by a performance metric. the system can also include a tuner that employs a machine learning engine having a training stage and an inference stage. the inference stage can be configured to, based on a machine learning model, search the possible configuration settings for a target configuration setting that results in the performance metric meeting defined bounds of an optimization threshold value.