Channel Estimation Interpolation for 5G NR Frequency Selectivity

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Solution Overview

Problem

Conventional channel estimation methods in 5G New Radio uplink systems, particularly using DM-RS, assume frequency non-selectivity, leading to errors due to non-ideal OFDM trigger points and multipath fading, which limits performance and increases interference from other antenna ports.

Innovation Solution

An adapted channel estimation method that interpolates channel estimates before de-spreading, aligning subcarrier indices and applying timing adjustments to account for frequency selectivity, reducing interference and improving accuracy without relying on the frequency non-selectivity assumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional channel estimation methods using DM-RS are used, then the estimation process is simple, but estimation accuracy deteriorates due to frequency non-selectivity assumptions and interference from other antenna ports

Engineering Contradiction:
Improvechannel estimation accuracyVSAvoidestimation process complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by performing interpolation of channel estimates before de-spreading operations. This reordering of processing steps allows the system to account for frequency selectivity early in the estimation process, improving accuracy without requiring complex alternative architectures. The timing adjustment and interpolation are performed on the received DM-RS symbols before the de-spreading matrix multiplication, preparing the data for more accurate subsequent processing.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent segments the channel estimation process into distinct stages: timing offset determination, interpolation to compensate for frequency selectivity, de-spreading operations, and combining results from multiple antenna ports. By dividing the estimation process into these manageable segments with specific functions, the system can address frequency selectivity and interference issues at appropriate stages while maintaining overall process organization and controlling complexity.

Inventive Principle:
Principle #1Segmentation

2Reliability

If frequency non-selectivity assumption is made, then the estimation algorithm is simpler, but errors increase due to non-ideal OFDM trigger points and multipath fading

Engineering Contradiction:
Improveestimation reliabilityVSAvoidalgorithm complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent changes the processing parameters by introducing timing adjustments and interpolation operations that account for frequency selectivity. Instead of assuming flat frequency response, the system modifies the estimation approach to accommodate varying channel conditions across frequencies. This involves adjusting the effective timing offset and performing interpolation to compensate for the effects of non-ideal OFDM trigger points and multipath fading, thereby improving reliability under realistic channel conditions.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11973618B2Algorithm and architecture for channel estimation in 5G new radio
Publication Date: 2024.04.30 INTEL CORP
  • US11973618B2 patent drawing
  • US11973618B2 patent drawing
  • US11973618B2 patent drawing

AI summary

This disclosure relates to apparatuses, systems, and methods for channel estimation, and in particular channel estimation for 5G New Radio systems. The channel estimation interpolates, prior to performing a de-spreading operation, a first combined channel estimation and a second combined channel estimation to provide from the first combined channel estimation one or more channel estimation values at indices associated with the second combined channel estimation and/or to provide from the second combined channel estimation one or more channel estimation values at indices associated with the first combined channel estimation.