Uplink Fronthaul Bit Compression Using I/Q-to-RGB Encoding
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Solution Overview
Problem
The increasing demand for wireless data traffic in 5G/NR communication systems requires efficient methods to reduce the data load on uplink fronthaul links, which are typically high-capacity links between radio units (RUs) and distributed units (DUs).
Innovation Solution
A radio unit (RU) processes uplink fronthaul data to obtain representative values for compression, selects appropriate encoding parameters based on these values, and transmits the compressed data to a distributed unit (DU). This involves digital preprocessing to induce similarity in the data, mapping I/Q values to RGB values, and applying entropy coding to achieve efficient compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If uplink fronthaul data is transmitted without compression, then data integrity is maintained, but data load on the uplink fronthaul link increases
Solution Approach 1:
The patent applies digital preprocessing to induce similarity in the uplink fronthaul data before compression. This preliminary action transforms the data into a form that is more amenable to compression, reducing the data load while maintaining integrity. The preprocessing step prepares the data by creating correlations that entropy coding can exploit effectively.
Solution Approach 2:
The patent maps I/Q values to RGB values, changing the parameter representation of the data. This parameter transformation converts complex baseband signals into a format with better statistical properties for compression, enabling more efficient entropy coding while preserving the essential information content.
2Quantity of substance
If compression processing is applied to uplink fronthaul data, then data load is reduced, but processing time increases
Solution Approach 1:
By performing digital preprocessing to induce similarity before compression, the patent prepares the data in advance to require fewer compression iterations. This preliminary organization of data reduces the overall processing time needed for compression while achieving effective data load reduction.
Solution Approach 2:
The patent replaces traditional compression approaches with entropy coding methods that operate more efficiently on preprocessed data. This substitution uses information-theoretic principles rather than mechanical compression algorithms, reducing processing time while maintaining compression effectiveness.
3Productivity
If I/Q values are mapped to RGB values for compression, then compression efficiency is improved, but processing complexity increases
Solution Approach 1:
The patent transforms I/Q values to RGB values, changing the parameter domain to one with better compression characteristics. This parameter change exploits the statistical properties of RGB data to achieve higher compression efficiency while the transformation itself is computationally straightforward.
Solution Approach 2:
The mapping from I/Q to RGB creates a transformed copy of the original data that preserves essential information while having better compressibility. This copying approach allows the original data structure to be maintained for reference while working with the more efficient RGB representation for compression.
Data Source
AI summary
Methods and apparatuses for a bit compression of uplink fronthaul data in wireless communication systems are provided. The methods of UE comprise: identifying uplink fronthaul data to reduce a data load on an uplink fronthaul link, wherein the uplink fronthaul link is between the RU and a DU; processing the uplink fronthaul data to obtain a set of representative values for a compression operation; selecting, based on the set of representative values, at least one encoding parameter for the compression operation; and transmitting, to the DU, the uplink fronthaul data that is compressed based on the compression operation.