Wireless Sample Compression for Smaller 5G Data Transfer Links
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The complexity and size of data transfer links in wireless communication apparatuses increase due to the high data capacity requirements in 5G systems, necessitating a more efficient data compression method.
Innovation Solution
A wireless communication apparatus with a data compressor that compresses digital sample signals based on data probability distributions and decompresses them using corresponding methods, optimizing data transfer through a data transfer link.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data capacity is increased to meet 5G high-speed service requirements, then data transfer rate is improved, but device complexity and size increase
Solution Approach 1:
The patent extracts and removes redundant data from the digital sample signal by identifying and eliminating repeated patterns through probability distribution analysis. This extraction of unnecessary information reduces the data volume that needs to be transferred, thereby improving transfer rate efficiency while reducing the complexity of the data transfer link structure.
Solution Approach 2:
The patent changes the parameter representation of data by encoding digital sample signals based on probability distribution characteristics. Instead of transmitting raw data values, the system transforms data into probability-based parameters that require fewer bits to represent, thus reducing data capacity requirements and simplifying the transfer link while maintaining high transfer rates.
2Productivity
If data capacity is increased to meet 5G high-speed service requirements, then data transfer rate is improved, but the size of data transfer link increases
Solution Approach 1:
The patent extracts and removes redundant data from the digital sample signal by identifying and eliminating repeated patterns through probability distribution analysis. This extraction of unnecessary information reduces the data volume that needs to be transferred, thereby improving transfer rate efficiency while reducing the complexity of the data transfer link structure.
Solution Approach 2:
The patent changes the parameter representation of data by encoding digital sample signals based on probability distribution characteristics. Instead of transmitting raw data values, the system transforms data into probability-based parameters that require fewer bits to represent, thus reducing data capacity requirements and simplifying the transfer link while maintaining high transfer rates.
Data Source
AI summary
A wireless communication apparatus includes a radio frequency integrated circuit (RFIC) configured to receive an input signal to generate a digital sample signal from the input signal, a data compressor configured to compress the digital sample signal according to a compression manner based on a data probability distribution of the input signal varying based on a receivable signal amplitude range of the RFIC, a data decompressor configured to decompress the compressed digital sample signal on the basis of a decompression manner corresponding to the compression manner to generate a decompressed digital sample signal, a data transfer link configured to transfer the compressed digital sample signal to the data decompressor, and a processor configured to process the decompressed digital sample signal.