View source for Huawei technologies co., ltd. (20240127074). MULTI-TASK NETWORK MODEL–BASED COMMUNICATION METHOD, APPARATUS, AND SYSTEM simplified abstract

=MULTI-TASK NETWORK MODEL–BASED COMMUNICATION METHOD, APPARATUS, AND SYSTEM=


==Organization Name==

[[:Category:huawei technologies co., ltd.|huawei technologies co., ltd.]]


[[Category:huawei technologies co., ltd.]]

==Inventor(s)==

[[:Category:Mengyang Wang of Shenzhen (CN)|Mengyang Wang of Shenzhen (CN)]][[Category:Mengyang Wang of Shenzhen (CN)]]

[[:Category:Jiahui Li of Shenzhen (CN)|Jiahui Li of Shenzhen (CN)]][[Category:Jiahui Li of Shenzhen (CN)]]

[[:Category:Mengyao Ma of Shenzhen (CN)|Mengyao Ma of Shenzhen (CN)]][[Category:Mengyao Ma of Shenzhen (CN)]]

[[:Category:Junwen Xie of Shenzhen (CN)|Junwen Xie of Shenzhen (CN)]][[Category:Junwen Xie of Shenzhen (CN)]]

[[:Category:Zhicong Zhang of Shenzhen (CN)|Zhicong Zhang of Shenzhen (CN)]][[Category:Zhicong Zhang of Shenzhen (CN)]]

[[:Category:Min Yan of Shenzhen (CN)|Min Yan of Shenzhen (CN)]][[Category:Min Yan of Shenzhen (CN)]]

==MULTI-TASK NETWORK MODEL–BASED COMMUNICATION METHOD, APPARATUS, AND SYSTEM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240127074 titled 'MULTI-TASK NETWORK MODEL–BASED COMMUNICATION METHOD, APPARATUS, AND SYSTEM

==Simplified Explanation==

The technology described in this patent application relates to a multi-task network model-based communication method, apparatus, and system. The method involves processing an input signal using a network model to obtain a fusion feature, performing compression and channel coding on the fusion feature to obtain information, and sending this information to another communication apparatus for further processing.

* Explanation of the patent/innovation:
- First communication apparatus processes input signal using a network model to obtain fusion feature
- Fusion feature is obtained by fusing multiple features extracted from the input signal
- Compression and channel coding are performed on the fusion feature to obtain information
- Information is sent to a second communication apparatus for processing
- Second communication apparatus receives information, performs decompression and decoding, and processes the feature using a network model

Potential applications of this technology:
- Telecommunications
- Data compression
- Signal processing

Problems solved by this technology:
- Efficient communication of complex data
- Improved feature extraction and processing
- Enhanced network performance

Benefits of this technology:
- Faster data transmission
- Enhanced data compression
- Improved network efficiency

Potential commercial applications of this technology:
- Telecommunication companies
- Data processing firms
- Network infrastructure providers

Possible prior art:
- Existing communication protocols
- Previous network models

Unanswered questions:
1. How does this technology compare to existing communication methods in terms of efficiency and performance?
2. What specific industries or sectors could benefit the most from implementing this technology?


==Original Abstract Submitted==

the technology of this application relates to a multi-task network model-based communication method, apparatus, and system. the method may include a first communication apparatus processing an input signal by using a first backbone network model, to obtain a fusion feature, where the fusion feature is obtained by fusing a plurality of first features which are obtained by performing feature extraction on the input signal. the method may further include performing compression and channel coding on the fusion feature to obtain first information, and sending the first information to a second communication apparatus. the second communication apparatus receives second information from the first communication apparatus, performs decompression and channel decoding on the second information to obtain a reconstructed feature of the fusion feature, performs feature parsing on the reconstructed feature by using a second backbone network model, to obtain a feature parsing result, and processes the feature parsing result by using a functional network model.



[[Category:G06N3/096]]