18556768. COMPENSATING POWER AMPLIFIER DISTORTION simplified abstract (Nokia Technologies Oy)
Contents
COMPENSATING POWER AMPLIFIER DISTORTION
Organization Name
Inventor(s)
Esa Tapani Tiirola of Oulu (FI)
Kari Pekka Pajukoski of Oulu (FI)
COMPENSATING POWER AMPLIFIER DISTORTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18556768 titled 'COMPENSATING POWER AMPLIFIER DISTORTION
The abstract describes a method where a base station selects a power amplifier distortion model from a set of models to compensate for power amplifier distortion. The base station then receives uplink data transmissions from a terminal device and compensates for the power amplifier distortion based on the selected model.
- The method involves selecting a pre-trained machine learning model to compensate for power amplifier distortion.
- The base station receives uplink data transmissions from a terminal device.
- The power amplifier distortion is compensated based on the selected model.
Potential Applications: - This technology can be applied in wireless communication systems to improve signal quality. - It can be used in 5G networks to enhance data transmission efficiency.
Problems Solved: - Addresses power amplifier distortion in wireless communication systems. - Improves the overall performance of base stations in compensating for distortion.
Benefits: - Enhanced signal quality and data transmission efficiency. - Improved overall performance of wireless communication systems.
Commercial Applications: Title: "Enhancing Signal Quality in Wireless Communication Systems" This technology can be utilized by telecommunications companies to improve the performance of their networks, leading to better service quality for customers. It can also be integrated into base station equipment to enhance the efficiency of data transmission in various communication systems.
Questions about the technology: 1. How does the pre-trained machine learning model help in compensating for power amplifier distortion? 2. What are the potential implications of using this technology in 5G networks?
Original Abstract Submitted
Disclosed is a method comprising selecting (), by a base station, a power amplifier distortion model from a set of power amplifier distortion models, wherein the power amplifier distortion model comprises a pre-trained machine learning model configured to compensate power amplifier distortion. The method further comprises receiving (), by the base station, one or more uplink data transmissions from a terminal device, and compensating (), by the base station, at least a part of the power amplifier distortion from the one or more uplink data transmissions based at least partly on the power amplifier distortion model.
