Huawei technologies co., ltd. (20240313873). DATA PROCESSING METHOD AND COMMUNICATION APPARATUS simplified abstract

DATA PROCESSING METHOD AND COMMUNICATION APPARATUS

Organization Name

huawei technologies co., ltd.

Inventor(s)

Zhimeng Zhong of Moscow (RU)

Yiqun Wu of Boulogne Billancourt (FR)

Yan Sun of Shanghai (CN)

Xiaomeng Chai of Shanghai (CN)

Chao Li of Shanghai (CN)

DATA PROCESSING METHOD AND COMMUNICATION APPARATUS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240313873 titled 'DATA PROCESSING METHOD AND COMMUNICATION APPARATUS

The patent application describes a method for data processing and a communication apparatus.

• Receiving or sending multiple reference signals.
• Obtaining a set of channel data based on the reference signals.
• Obtaining a data quality screening policy to ensure model training data meets quality requirements.
• Screening the channel data based on the data quality screening policy to improve the quality of training data for model training.
• Ensuring that the trained intelligent model meets performance requirements.

Potential Applications: - This technology can be applied in various industries such as telecommunications, healthcare, finance, and manufacturing. - It can be used for data analysis, predictive modeling, and optimization of processes.

Problems Solved: - Ensures that the training data used for model training meets quality requirements. - Improves the performance of trained intelligent models by enhancing the quality of training data.

Benefits: - Enhanced accuracy and reliability of intelligent models. - Improved decision-making based on high-quality training data. - Increased efficiency in data processing and analysis.

Commercial Applications: Title: "Enhanced Data Processing Method for Improved Model Training" This technology can be utilized by companies in various sectors to enhance their data processing capabilities, improve model training, and optimize business operations. It can lead to cost savings, increased productivity, and better decision-making processes.

Questions about the technology: 1. How does this data processing method improve the quality of training data for model training? 2. What are the potential implications of using this technology in the telecommunications industry?

Original Abstract Submitted

this application provides a data processing method and a communication apparatus. the method includes: receiving or sending a plurality of reference signals; obtaining a first channel data set, where the first channel data set is a set of a plurality of pieces of channel data obtained based on the plurality of reference signals; obtaining a data quality screening policy, where the data quality screening policy is used to obtain, through screening, model training data that meets a data quality requirement; and screening the channel data in the first channel data set according to the data quality screening policy, to obtain a training data set. in this way, quality of the training data for model training is improved, so that a trained intelligent model meets a performance requirement.