Type II Precoder CSI Reporting with Doppler-Aware Prediction

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Downlink MU-MIMO precoding performance degrades for UEs moving at high velocities due to outdated channel information, leading to ineffective interference protection, and current CSI reporting frameworks face challenges in achieving accurate CSI with reasonable overhead.

Innovation Solution

Augmenting Type II codebooks with Doppler domain compression to create a three-dimensional matrix combining spatial, frequency, and Doppler domain basis vectors for channel state information (CSI) reporting, enabling prediction of future precoders based on multiple CSI-RS instances.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If CSI reporting is performed frequently to capture channel variations for moving UEs, then CSI accuracy improves, but signaling overhead increases excessively

Engineering Contradiction:
ImproveCSI accuracyVSAvoidsignaling overhead
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent extends the traditional two-dimensional codebook (spatial and frequency domains) to a three-dimensional codebook by adding the Doppler domain. This dimensional extension allows the system to capture time-varying channel characteristics of moving UEs through Doppler frequency shifts, thereby improving CSI accuracy for high-velocity scenarios without requiring excessively frequent reporting

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent performs preliminary channel estimation using multiple CSI-RS instances before generating the final CSI report. By pre-processing channel measurements across multiple time instances and extracting dominant Doppler components, the system prepares compressed channel state information in advance, reducing the amount of data that needs to be reported while maintaining accuracy

Inventive Principle:
Principle #10Preliminary action

2Loss of information

If traditional Type II codebook is used for stationary UEs, then reporting overhead is manageable, but CSI robustness to channel variations deteriorates for moving UEs

Engineering Contradiction:
Improvereporting overheadVSAvoidCSI robustness
Core Design Contradiction:
Loss of informationVSReliability

Solution Approach 1:

The patent augmenting the traditional two-dimensional Type II codebook (spatial and frequency domains) to a three-dimensional codebook by incorporating the Doppler domain. This extension adds a temporal dimension to the codebook structure, enabling it to capture and represent time-varying channel characteristics of moving UEs through Doppler frequency shifts, thereby improving CSI robustness without proportionally increasing reporting overhead

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent introduces Doppler domain parameters (Doppler basis vectors and coefficients) as new parameters in the CSI reporting framework. By adding these parameters that specifically characterize time-varying channel behavior, the system enhances CSI robustness to channel variations while maintaining a structured reporting format that controls overhead through parameter compression and selection

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20250293742A1CSI reporting for type ii precoder
Publication Date: 2025.09.18 TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
  • US20250293742A1 patent drawing
  • US20250293742A1 patent drawing
  • US20250293742A1 patent drawing

AI summary

According to some embodiments. a method is performed by a wireless device for channel state information (CSI) reporting. The method comprises: measuring multiple instances of a CSI reference signal (CSI-RS) over a span of time instances: estimating linear combination coefficients to combine a spatial domain (SD) basis. a frequency domain (FD) basis. and a Doppler domain (DD) basis from the measurements of the multiple CSI-RS instances: and predicting a precoder using the linear combination coefficients, the SD basis. the FD basis, and the DD basis.