18413472. MACHINE LEARNING-ASSISTED ADAPTIVE ANTENNA TUNING simplified abstract (QUALCOMM Incorporated)
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 18413472 titled 'MACHINE LEARNING-ASSISTED ADAPTIVE ANTENNA TUNING
The abstract of this patent application describes techniques for adaptively tuning a wireless data transmission system in an electronic device. This involves 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 systems
Problems Solved: - Optimizing wireless data transmission systems for improved performance - Enhancing connectivity and data transfer efficiency in electronic devices
Benefits: - Improved data transmission speed and reliability - Enhanced overall performance of electronic devices - Better user experience with wireless connectivity
Commercial Applications: Title: "Adaptive Wireless Data Transmission System for Electronic Devices" This technology can be utilized in smartphones, tablets, smart home devices, and IoT gadgets to optimize wireless data transmission, leading to better performance and user satisfaction. The market implications include increased demand for devices with efficient wireless connectivity.
Prior Art: Researchers can explore existing patents related to wireless data transmission systems, adaptive configurations, and device optimization to understand the prior art landscape in this field.
Frequently Updated Research: Researchers and developers can stay updated on advancements in wireless data transmission technologies, adaptive systems, and electronic device optimization to enhance their understanding and implementation of this technology.
Questions about Adaptive Wireless Data Transmission System: 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.
