US Patent Application 18245962. LEARNING METHOD, WIRELESS QUALITY ESTIMATION METHOD, LEARNING DEVICE, WIRELESS QUALITY ESTIMATION DEVICE, AND PROGRAM simplified abstract
LEARNING METHOD, WIRELESS QUALITY ESTIMATION METHOD, LEARNING DEVICE, WIRELESS QUALITY ESTIMATION DEVICE, AND PROGRAM
Organization Name
NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor(s)
Kenichi Kawamura of Tokyo (JP)
Takatsune Moriyama of Tokyo (JP)
LEARNING METHOD, WIRELESS QUALITY ESTIMATION METHOD, LEARNING DEVICE, WIRELESS QUALITY ESTIMATION DEVICE, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18245962 titled 'LEARNING METHOD, WIRELESS QUALITY ESTIMATION METHOD, LEARNING DEVICE, WIRELESS QUALITY ESTIMATION DEVICE, AND PROGRAM
Simplified Explanation
The patent application describes a learning method for estimating wireless quality using machine learning.
- The learning method involves a learning step where a pre-trained model is generated by training the model with measurement data from multiple terminals.
- The method also includes a retraining step where the pre-trained model is further trained using measurement data that meets a specific condition.
- The goal is to improve the accuracy of estimating wireless quality by continuously updating the model with new data.
- This innovation can be applied to various wireless communication systems to enhance their performance and reliability.
Original Abstract Submitted
A learning method in which a learning device performs learning on a model for estimating wireless quality by machine learning, and the learning method includes a learning step of generating a pre-trained model by performing the learning on the model by using measurement data of wireless quality obtained by a plurality of terminals, and a retraining step of retraining the pre-trained model by using measurement data satisfying a predetermined condition.
