Frequency-Domain CSI Compression for Low-Latency Wireless Feedback

Solution Overview

Problem

Existing wireless communication systems face challenges in efficiently processing and utilizing channel state information (CSI) due to the large volume of data involved, which can lead to increased latency and resource inefficiencies.

Innovation Solution

The apparatus includes means for generating compressed CSI using a model, wherein an input of the neural network model is based at least in part on the channel information, and wherein the compressed CSI is compressed in a frequency domain, and the apparatus includes means for generating and the apparatus includes means for transmitting the compressed CSI.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If channel state information is transmitted in full detail, then communication accuracy is improved, but data volume increases leading to increased latency and resource inefficiency

Engineering Contradiction:

Improvechannel state information accuracyVSAvoidprocessing latency

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent extracts and transmits only the most significant components of channel state information. Specifically, it performs singular value decomposition to identify dominant singular values and vectors, then selectively transmits only these key parameters rather than the complete channel matrix, thereby reducing data volume while preserving essential channel characteristics for accurate communication

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent transforms the channel state information from its original high-dimensional matrix form into a compressed parameter set through mathematical transformations. By changing the representation parameters from full channel matrix elements to condensed singular value decomposition parameters, the system maintains measurement precision while significantly reducing the data volume that contributes to latency

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If channel state information is transmitted in full detail, then communication accuracy is improved, but data volume increases leading to resource inefficiency

Engineering Contradiction:

Improvechannel state information accuracyVSAvoiddata volume

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent extracts and transmits only the most significant components of channel state information. Specifically, it performs singular value decomposition to identify dominant singular values and vectors, then selectively transmits only these key parameters rather than the complete channel matrix, thereby reducing data volume while preserving essential channel characteristics for accurate communication

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent transmits a partial representation of the channel state information that is sufficient for effective communication. By sending only the top-k singular values and corresponding vectors (where k is much smaller than the full channel dimension), the system achieves adequate channel knowledge without the excessive data volume of complete CSI transmission

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250392367A1Frequency domain compression of channel state information

Publication Date: 2025.12.25 QUALCOMM INC

AI summary

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may identify channel information based at least in part on a set of channel state information reference signals (CSI-RSs). The UE may generate compressed channel state information (CSI) using a model, wherein an input of the neural network model is based at least in part on the channel information, and wherein the compressed CSI is compressed in a frequency domain. The UE may transmit the compressed CSI. Numerous other aspects are described.