CSI Compression Preprocessing With Unitary Matrices for DL Precoding
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Solution Overview
Problem
Traditional wireless communication systems face challenges with interference, signal attenuation, and unpredictable dynamics in mobile environments, exacerbated by limited spectrum resources, necessitating improvements in spectral efficiency and network performance.
Innovation Solution
Implementing precoding techniques that utilize unitary matrices for preprocessing and compression of channel state information (CSI) to enhance signal clarity and reduce interference, incorporating advanced processing at both User Equipment (UE) and Base Station (BS) to construct a DL precoder, leveraging AI-based and classical compression methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional wireless communication systems are used without advanced precoding techniques, then system simplicity is maintained, but spectral efficiency and network performance deteriorate due to interference, signal attenuation, and limited spectrum resources
Solution Approach 1:
The patent applies preliminary action by performing preprocessing of channel state information (CSI) using a unitary matrix before compression. The UE calculates DL channel-related information, preprocesses it using a unitary matrix to generate post-processing information, and then compresses this preprocessed information. This preliminary preprocessing step structures the data in advance to facilitate more efficient compression and transmission, thereby improving spectral efficiency while managing system complexity through a systematic approach to CSI handling
2Loss of information
If CSI compression is implemented to reduce feedback overhead, then communication efficiency improves, but information loss may occur during compression
Solution Approach 1:
The patent applies parameter changes by transforming the CSI data through a unitary matrix operation, which changes the parameter representation of the channel information. The unitary matrix transformation preserves the essential information while restructuring it in a form that is more amenable to compression. This parameter transformation allows for efficient compression with reduced information loss, as the unitary transformation maintains the energy and structural properties of the original CSI data
Solution Approach 2:
The unitary matrix acts as an intermediary in the compression process. Instead of directly compressing the raw CSI data, the system first applies the unitary matrix transformation as an intermediate step. This intermediary transformation prepares the data in a form that balances information preservation with compression efficiency, enabling the system to achieve better compression ratios while maintaining the critical channel information needed for accurate precoding at the base station
3Reliability
If advanced precoding techniques are implemented to improve signal clarity and reduce interference, then network performance improves, but the complexity of signal processing increases
Solution Approach 1:
The patent applies segmentation by dividing the precoding process into distinct segments: channel information calculation, unitary matrix preprocessing, compression, transmission, decompression, and precoder construction. Each segment performs a specific function, which modulates the overall complexity by making each individual processing step more manageable and optimized. The unitary matrix operation itself can be viewed as segmenting the transformation process into a structured sequence of operations that improve signal clarity while controlling processing complexity
Data Source
AI summary
One example embodiment includes a wireless communication system. The wireless communication system includes a UE. The UE is configured to calculate DL channel-related information, preprocess the DL channel-related information using a unitary matrix to generate post-processing information, compress the post-processing information to generate transmission data, and communicate the transmission data over a communication channel. The wireless communication system includes a base station. The base station is configured to receive the transmitted data, decompress the received data to reconstruct the post-processing information, and construct a DL precoder utilizing the reconstructed post-processing information. Some aspects are related to AI-based or Classical schemes-based CSI-compression. Some embodiments seamlessly merge the treatment of the interference problem with the CSI-compression.