Non-Real-Time Decoding Flow Using Combined NRS Channel Estimation

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Solution Overview

Problem

Existing non-real-time decoding systems in wireless communication face challenges in improving channel estimation performance and reducing processing cost, particularly when data is not directly repeated and are sensitive to fast-fading channels and residual frequency offsets.

Innovation Solution

A non-real-time decoding method that performs narrowband reference signal (NRS) channel estimation on a current subframe, stores frequency domain data, combines NRS channel estimations with subsequent subframes, and performs data resource element (RE) channel estimation and equalization on the combined results, optimizing processing for improved performance and reduced cost.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If symbol-level combination is performed before channel estimation and equalization, then channel estimation performance is improved, but this method is limited to cases when repeating data is the same and cannot be applied when data on two subframes is not simply repeated

Engineering Contradiction:

Improvechannel estimation performanceVSAvoidapplicability to non-repeated data

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent performs NRS channel estimation in advance on the current subframe before the data RE channel estimation is completed. This preliminary action allows the channel estimation to be ready for combination with subsequent subframes, enabling the system to handle non-repeated data while still benefiting from combined channel estimation performance.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent separates the channel estimation process into two parts: NRS channel estimation performed on the current subframe and data RE channel estimation performed on subsequent subframes. This segmentation allows independent processing and combination of these estimation results, providing flexibility for non-repeated data scenarios.

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If the number of combined subframes for channel estimation is increased, then channel estimation performance is improved, but the gain is greatly reduced when the channel is fast fading or there is a residual frequency offset

Engineering Contradiction:

Improvechannel estimation performanceVSAvoidsensitivity to fast-fading and residual frequency offset

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent applies different processing strategies to different subframes based on their characteristics. The current subframe undergoes NRS channel estimation, while subsequent subframes undergo data RE channel estimation. This local differentiation allows the system to optimize for each subframe's specific conditions, reducing sensitivity to fast-fading and frequency offsets.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent dynamically adjusts the channel estimation process based on the subframe type and channel conditions. By performing NRS estimation on current subframes and data RE estimation on subsequent subframes, the system can adapt to changing channel conditions in real-time, maintaining performance in fast-fading environments.

Inventive Principle:

Principle #15Dynamics

3Reliability

If data RE channel estimation is performed on every subframe, then decoding accuracy is improved, but processing cost and power consumption increase

Engineering Contradiction:

Improvedecoding accuracyVSAvoidprocessing cost and power consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent extracts the NRS channel estimation function from the data RE channel estimation process. By separating these two functions and performing NRS estimation only on current subframes, the system reduces the overall processing burden while maintaining decoding accuracy through the combined estimation approach.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent merges the NRS channel estimation results with data RE channel estimation results in a coordinated manner. This combining approach allows the system to achieve improved decoding accuracy by leveraging both estimation types while avoiding the need to perform full data RE estimation on every subframe, thus reducing processing cost.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS12500806B2Flow optimization method for non-real-time decoding systems

Publication Date: 2025.12.16 REALTEK SEMICON CORP

AI summary

Disclosed is a flow optimization method for non-real-time decoding systems, which is applied in a wireless communication system including a transmitter and a receiver corresponding thereto. The receiver executes the non-real-time decoding method, which includes the following steps: after determining that a current subframe is a non-real-time decoding subframe, performing a NRS channel estimation of the non-real-time decoding subframe, and storing frequency domain data of the current subframe; after determining that the current subframe is a subsequent subframe adjacent to the non-real-time decoding subframe, combining the NRS channel estimation of the non-real-time decoding subframe and a NRS channel estimation of the subsequent subframe on the subsequent subframe, and then performing a data resource element channel estimation; and according to the data resource element channel estimation obtained from the combined NRS channel estimation, performing equalization, descrambling and de-rate matching on the non-real-time decoding subframe and the subsequent subframe respectively.