CSI Pre-Processing for Variable-Size Wireless Compression
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently compressing channel state information (CSI) due to increased complexity and latency in neural network encoders, as well as limited ability to support variable CSI sizes.
Innovation Solution
A wireless transmit/receive unit (WTRU) is configured to select a pre-processing type based on channel conditions and a data processing model, which includes spatial, frequency, angle-delay, time, or linear transformation pre-processing, to reduce the complexity and latency of CSI compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If neural network encoders are used for CSI compression, then compression capability is improved, but complexity and latency increase
Solution Approach 1:
The patent divides the CSI compression process into two independent stages: pre-processing (performed by the WTRU) and encoding (performed by the network). This segmentation allows the complex neural network encoder to be deployed only at the network side with sufficient computational resources, while the WTRU performs only lightweight pre-processing operations, thereby reducing device complexity while maintaining compression capability.
Solution Approach 2:
The patent applies pre-processing operations (such as channel estimation, interference cancellation, or feature extraction) to the CSI data before it is transmitted to the network for encoding. This preliminary action prepares the data in a format that is more suitable for compression, reducing the computational burden on the neural network encoder and improving overall system efficiency without requiring complex encoders at the WTRU.
2Ease of manufacture
If fixed-size neural network encoders are used, then encoding simplicity is improved, but adaptability to variable CSI sizes deteriorates
Solution Approach 1:
The patent introduces dynamic adaptability mechanisms that allow the encoding system to adjust to variable CSI sizes. The network can configure different encoder parameters or select from multiple pre-trained models based on the actual CSI data size, enabling the system to maintain implementation simplicity while adapting to diverse input dimensions through dynamic model selection or parameter adjustment.
Solution Approach 2:
The patent enables the encoder to adapt to variable CSI sizes by changing key parameters such as input dimension, hidden layer size, or compression ratio. The network can dynamically adjust these parameters based on the configured CSI size, allowing a single encoder architecture to handle multiple size requirements without requiring completely different models for each size.
3Productivity
If pre-processing is applied to CSI, then compression efficiency is improved, but processing time increases
Solution Approach 1:
The patent applies only the necessary pre-processing operations that provide the most significant compression efficiency gains while avoiding excessive processing. By selecting and applying only the critical pre-processing steps (such as channel estimation or interference cancellation) rather than comprehensive processing, the system achieves improved compression efficiency with minimal additional processing time.
Data Source
AI summary
Systems, methods, and instrumentalities are disclosed herein for pre-processing for channel state information (CSI) compression in wireless system. A WTRU may receive configuration information that indicates a reference signal and a data processing model for channel state information (CSI) compression. The WTRU may determine CSI associated with a channel using the reference signal. The WTRU may determine a channel condition associated with pre-processing. The WTRU may select a pre-processing type from a plurality of pre-processing types based on the data processing model and the determined channel condition associated with pre-processing. The WTRU may pre-process the CSI associated with the channel based on the selected pre-processing type. The WTRU may generate compressed CSI by compressing the pre-processed CSI using the data processing model for CSI compression. The WTRU may send the compressed CSI to a network.