Qualcomm incorporated (20240223286). MACHINE LEARNING-ASSISTED ADAPTIVE ANTENNA TUNING simplified abstract
Contents
MACHINE LEARNING-ASSISTED ADAPTIVE ANTENNA TUNING
Organization Name
Inventor(s)
Diego Calzolari of San Diego CA (US)
David Loweth Winslow of San Diego CA (US)
Guilherme Hoefel of San Diego CA (US)
John Boro of Encinitas CA (US)
MACHINE LEARNING-ASSISTED ADAPTIVE ANTENNA TUNING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240223286 titled 'MACHINE LEARNING-ASSISTED ADAPTIVE ANTENNA TUNING
The present disclosure involves techniques for adaptively tuning a wireless data transmission system in an electronic device. This includes receiving operating characteristics of the system, determining a target configuration based on these characteristics, and implementing the target configuration.
- Receiving operating characteristics of a wireless data transmission system
- Determining a target configuration using a system configuration model
- Implementing the target configuration in the wireless data transmission system
Potential Applications: - Mobile devices - Internet of Things (IoT) devices - Smart home technology
Problems Solved: - Optimizing wireless data transmission systems for better performance - Enhancing connectivity and data transfer efficiency
Benefits: - Improved data transmission speeds - Enhanced reliability of wireless connections - Better overall performance of electronic devices
Commercial Applications: Title: "Enhancing Wireless Data Transmission Systems for Improved Device Performance" This technology can be utilized in smartphones, tablets, smart home devices, and IoT gadgets to optimize data transmission and improve user experience. It can benefit companies in the electronics and telecommunications industries by enhancing the performance of their products.
Prior Art: Readers can explore prior research on wireless data transmission systems, adaptive tuning techniques, and electronic device optimization to gain a deeper understanding of the technology landscape.
Frequently Updated Research: Researchers are continually exploring new methods to enhance wireless data transmission systems, improve connectivity, and optimize electronic device performance.
Questions about Wireless Data Transmission Systems: 1. How does adaptive tuning improve the performance of wireless data transmission systems? 2. What are the key factors to consider when determining a target configuration for a wireless data transmission system?
Original Abstract Submitted
certain aspects of the present disclosure provide techniques for adaptively tuning a wireless data transmission system in an electronic device, including receiving one or more operating characteristics of a wireless data transmission system of a device; determining, using a wireless data transmission system configuration model, a target wireless data transmission system configuration based on the one or more operating characteristics; and implementing the target wireless data transmission system configuration in the wireless data transmission system.
