Qualcomm incorporated (20240106395). RADIO FREQUENCY (RF) FRONT END ENVELOPE TRACKING WITH MACHINE LEARNING simplified abstract
Contents
- 1 RADIO FREQUENCY (RF) FRONT END ENVELOPE TRACKING WITH MACHINE LEARNING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 RADIO FREQUENCY (RF) FRONT END ENVELOPE TRACKING WITH MACHINE LEARNING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
RADIO FREQUENCY (RF) FRONT END ENVELOPE TRACKING WITH MACHINE LEARNING
Organization Name
Inventor(s)
Mustafa Keskin of San Diego CA (US)
Paul Brian Sheehy of San Diego CA (US)
RADIO FREQUENCY (RF) FRONT END ENVELOPE TRACKING WITH MACHINE LEARNING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240106395 titled 'RADIO FREQUENCY (RF) FRONT END ENVELOPE TRACKING WITH MACHINE LEARNING
Simplified Explanation
The patent application describes devices and methods for an envelope tracking power supply, which includes various components such as an envelope signal input port, sensing and conditioning circuitry, amplifier circuitry, switcher circuitry, output filter circuitry, and machine learning circuitry.
- Envelope tracking power supply with envelope signal input port, output power port, and input interface circuit.
- Amplifier circuitry with control inputs and switcher circuitry coupled to sensing and conditioning circuitry.
- Output filter circuitry and machine learning circuitry for performance tracking of a transmit power amplifier.
Potential Applications
The technology could be applied in wireless communication systems, such as mobile phones, to improve power efficiency and signal quality.
Problems Solved
The technology helps in optimizing power consumption and enhancing the performance of transmit power amplifiers in communication devices.
Benefits
The envelope tracking power supply offers improved power efficiency, better signal quality, and enhanced overall performance of communication systems.
Potential Commercial Applications
The technology could find applications in the telecommunications industry, specifically in the development of advanced mobile devices and wireless communication systems.
Possible Prior Art
Prior art in envelope tracking power supplies may include earlier patents or publications related to power supply optimization in communication systems.
Unanswered Questions
How does the machine learning circuitry adapt to different operating conditions in real-time?
The machine learning circuitry likely uses algorithms to analyze and adjust parameters based on the received state tracking data.
What are the specific performance metrics that the machine learning circuitry uses to optimize the transmit power amplifier?
The machine learning circuitry may consider metrics such as power efficiency, signal distortion, and output power levels to optimize the transmit power amplifier.
Original Abstract Submitted
aspects described herein include devices and methods for an envelope tracking power supply. in some aspects, the envelope tracking power supply includes an envelope signal input port, an output power port, an input interface circuit coupled to the envelope signal input port, sensing and conditioning circuitry, and amplifier circuitry coupled between the input interface circuit and the sensing and conditioning circuitry, the amplifier circuitry having one or more control inputs. the envelope tracking power supply additionally includes switcher circuitry coupled to the output of the sensing and conditioning circuitry, and the output power port, and the supply further includes output filter circuitry coupled to the output power port and machine learning circuitry configured to receive state tracking data for performance of a transmit power amplifier (pa) that receives power via the output power port.
