Channel Information Compression for Low-Overhead Node Coordination
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Solution Overview
Problem
Current methods for channel information processing in communication technologies face challenges in efficiently compressing and transmitting large amounts of data, particularly in scenarios involving multiple network nodes, which leads to increased overhead and potential intellectual property leakage.
Innovation Solution
A channel information processing method and apparatus that involves a first device obtaining target channel information, compressing it using different compression methods, and sending the compressed information to a second device, which then decompresses it using a corresponding method, thereby reducing redundancy and transmission overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If channel information is transmitted without compression, then information completeness is maintained, but transmission overhead increases
Solution Approach 1:
The channel information is divided into two parts: first channel information (original) and second channel information (compressed). The first device compresses only the second channel information using a second compression method, while the first channel information is transmitted uncompressed. This segmentation allows selective compression to reduce overhead while maintaining information completeness.
Solution Approach 2:
The patent applies different compression methods (first compression method vs. second compression method) to different parts of the channel information. The second compression method is specifically designed to achieve higher compression ratios for the second channel information, changing the compression parameter to optimize the balance between information retention and overhead reduction.
2Productivity
If channel information is compressed using a single method, then processing simplicity is maintained, but compression efficiency decreases
Solution Approach 1:
The channel information processing is segmented into two streams: one using a first compression method and another using a second compression method. The first device applies the second compression method to the second channel information, while the second device uses corresponding decompression methods. This segmentation enables higher compression efficiency for specific data types while maintaining overall system manageability.
3Quantity of substance
If all channel information is compressed, then transmission overhead is reduced, but information loss increases
Solution Approach 1:
The patent segments channel information into first channel information (transmitted uncompressed to preserve accuracy) and second channel information (compressed to reduce overhead). The first device sends both uncompressed first channel information and compressed second channel information to the second device, which then decompresses the second channel information using the corresponding decompression method, thereby reducing overall transmission overhead while maintaining information accuracy where needed.
4Productivity
If multiple compression methods are used, then compression efficiency improves, but system complexity increases
Solution Approach 1:
The system uses different compression methods for different data streams: a first compression method for first channel information and a second compression method for second channel information. The first device implements the second compression method, while the second device implements corresponding decompression methods. This segmentation allows the system to achieve higher compression efficiency for specific data types while maintaining clear functional separation that manages system complexity.
Data Source
AI summary
A first device obtains target channel information, where the target channel information includes first channel information and second channel information, and the second channel information is compressed channel information obtained by compressing the first channel information using a first compression method; the first device compresses third channel information by using a second compression method, where the third channel information is at least one of the first channel information and the second channel information, and the second compression method is different from the first compression method; and the first device sends fourth channel information to a second device based on a compression result of compressing the third channel information, where the fourth channel information includes any one of the following: the first channel information and compressed second channel information; compressed first channel information and the second channel information; and compressed first channel information and compressed second channel information.


