Compressed SRS Signal Estimation With Partial Decompression
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Solution Overview
Problem
Existing signal estimation techniques for wireless communication systems, particularly in 5G networks, face high computational complexity and FH throughput requirements when processing compressed sounding reference signals (SRS), which complicates power delay profile estimation.
Innovation Solution
A method is introduced that combines compressed SRS streams to reduce computational complexity while maintaining performance, involving beam compression at the RU side and decompression at the DU side, thereby optimizing signal estimation and channel estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If uncompressed SRS signals are used for signal estimation, then measurement precision is improved, but device complexity and computational complexity increase
Solution Approach 1:
The patent uses compressed SRS signals as a simplified copy or representation of the full uncompressed SRS signals. The compressed version maintains the essential signal characteristics needed for power delay profile estimation while reducing computational requirements. This allows the system to achieve nearly the same measurement precision with significantly lower device complexity.
Solution Approach 2:
The patent extracts only the necessary components from the full SRS signal through compression. By taking out and processing only the essential signal features rather than the complete uncompressed signal, the system reduces computational complexity while preserving the key information needed for accurate signal estimation.
2Device complexity
If compressed SRS signals are processed without combining streams, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent combines multiple compressed SRS streams together to restore the signal quality and precision that would be lost in individual compressed signals. By merging the compressed streams, the system achieves both reduced device complexity (compared to processing uncompressed signals) and maintained measurement precision (comparable to using uncompressed signals).
Data Source
AI summary
An apparatus for use in a RAN node includes processing circuitry. To configure the RAN node for signal estimation in an O-RAN network, the processing circuitry detects, at a distributed unit (DU) function of the RAN node, a compressed sounding reference signal (SRS). The compressed SRS is based on a received SRS. Partial decompression of the compressed SRS is performed to generate a partially decompressed signal. The partial decompression is based at least on a weight matrix associated with the compressed SRS. A plurality of power delay profile (PDP) signals is generated based on the partially decompressed signal. Averaging of the plurality of PDP signals is performed to generate an output PDP signal corresponding to the received SRS.