Block-Based Data Compression for Robust Physical-Layer Transmission
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Solution Overview
Problem
Current data compression and transmission methods for physical-layer data, such as sensing and imaging data, suffer from low compression efficiency and poor transmission robustness, leading to reduced communication performance.
Innovation Solution
A data transmission method that involves dividing to-be-sent data into multiple data blocks, compressing each block using a specific compression mode, and sending compressed blocks along with compression mode information, allowing for flexible compression and improved transmission reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current data compression and transmission method is used for physical-layer data, then data can be transmitted, but compression efficiency is low and transmission robustness is poor
Solution Approach 1:
The patent divides the to-be-sent data into multiple data blocks before compression. Each data block is then independently compressed using appropriate compression modes. This segmentation allows the system to apply different compression strategies to different parts of the data, improving overall compression efficiency while maintaining transmission robustness through selective compression approaches.
Solution Approach 2:
The patent implements dynamic compression mode selection where the compression mode for each data block can be independently determined. The system can switch between different compression modes (such as first compression mode and second compression mode) based on data characteristics, channel conditions, and performance requirements. This dynamic adaptation resolves the contradiction by allowing high compression efficiency when conditions permit while maintaining transmission robustness when needed.
2Loss of energy
If compression operation is performed on physical-layer data, then wireless transmission resource consumption is reduced, but compression efficiency and transmission robustness deteriorate
Solution Approach 1:
The patent applies different compression modes to different data blocks based on their local characteristics. Some data blocks may use aggressive compression to maximize resource savings, while others use more robust compression methods to preserve transmission reliability. This local quality approach allows the system to optimize the balance between resource consumption and compression efficiency for each portion of the data independently.
Solution Approach 2:
The patent changes compression parameters such as compression ratio, algorithm selection, and processing depth based on data block characteristics and transmission requirements. By dynamically adjusting these parameters, the system achieves better compression efficiency while controlling wireless transmission resource consumption, resolving the contradiction between resource savings and compression performance.
3Device complexity
If single compression mode is used for all data blocks, then device complexity is reduced, but compression efficiency and transmission robustness are compromised
Solution Approach 1:
The patent segments the compression process into multiple independent data block processing units. Each segment can be processed with appropriate complexity based on its characteristics, allowing the system to achieve high compression efficiency without requiring all segments to use complex compression methods. This segmentation resolves the contradiction by distributing complexity across multiple simple, independent processing units.
Solution Approach 2:
The patent enables each data block to effectively select or determine its own compression mode based on local characteristics, reducing the need for complex centralized control. This self-service approach allows the system to achieve high compression efficiency through distributed decision-making while keeping the overall system complexity manageable through modular, independent processing units.
Data Source
AI summary
This application provides a data transmission method and an apparatus. The method includes: A transmit end obtains to-be-sent data; the transmit end obtains a plurality of data blocks based on the to-be-sent data; and the transmit end compresses a first data block based on a compression mode and sends a compressed first data block, where the first data block is one of the plurality of data blocks. Therefore, a plurality of data blocks may be separately compressed by using a same compression mode or different compression modes, and compressed data blocks are sent.