Huawei technologies co., ltd. (20240214329). DATA PROCESSING METHOD AND APPARATUS simplified abstract
Contents
- 1 DATA PROCESSING METHOD AND APPARATUS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DATA PROCESSING METHOD AND APPARATUS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Neural Network Data Processing in Communication Systems
- 1.13 Original Abstract Submitted
DATA PROCESSING METHOD AND APPARATUS
Organization Name
Inventor(s)
Gongzheng Zhang of Hangzhou (CN)
Rong Li of Boulogne Billancourt (FR)
DATA PROCESSING METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240214329 titled 'DATA PROCESSING METHOD AND APPARATUS
Simplified Explanation
This patent application describes a method and apparatus for processing data using neural networks in a communication system.
- The first communication apparatus processes data based on a parameter to obtain a transmission symbol, which is then sent to a second communication apparatus.
- The second communication apparatus receives the transmission symbol and processes it using a neural network to obtain a processing result.
- The parameter is determined based on accuracy and channel information between the communication apparatus.
Key Features and Innovation
- Data processing method using neural networks in a communication system.
- Parameter-based processing to improve accuracy and efficiency.
- Utilization of channel information to optimize data transmission.
Potential Applications
This technology can be applied in various communication systems, including wireless networks, IoT devices, and telecommunications.
Problems Solved
- Enhances data processing accuracy.
- Improves efficiency in communication systems.
- Optimizes data transmission based on channel information.
Benefits
- Increased accuracy in data processing.
- Enhanced efficiency in communication systems.
- Improved overall performance of the communication network.
Commercial Applications
Potential commercial applications include telecommunications infrastructure, IoT devices, and wireless communication systems. This technology can improve data processing and transmission efficiency in various industries.
Prior Art
Readers can explore prior art related to neural network data processing in communication systems, including research papers, patents, and industry publications.
Frequently Updated Research
Stay updated on the latest advancements in neural network data processing in communication systems to understand the evolving landscape of this technology.
Questions about Neural Network Data Processing in Communication Systems
How does this technology improve data processing accuracy in communication systems?
This technology enhances data processing accuracy by utilizing neural networks to process data based on specific parameters, optimizing the transmission process.
What are the potential commercial applications of this technology in the telecommunications industry?
The potential commercial applications of this technology in the telecommunications industry include improving data processing efficiency, enhancing network performance, and optimizing data transmission in communication systems.
Original Abstract Submitted
this application discloses a data processing method and an apparatus. the method includes: after obtaining first data, a first communication apparatus processes the first data based on a first parameter, to obtain a first transmission symbol, and sends the first transmission symbol to a second communication apparatus. correspondingly, the second communication apparatus receives the first transmission symbol. the second communication apparatus processes the first transmission symbol based on the first parameter to obtain an input of a neural network, and processes the input by using the neural network to obtain a processing result. the first parameter is determined based on first accuracy and first channel information, the first channel information is information about a channel between the first communication apparatus and the second communication apparatus, and the first accuracy indicates accuracy of processing data by the neural network.
