UE Interference Noise Compensation via MMSE Weights

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Solution Overview

Problem

In wireless communication systems, the estimation of channel and signal-to-noise ratio (SNR) using demodulation reference signals (DMRS) can result in distorted interference and noise due to varying channel environments, such as measured SNR, Doppler frequency, and delay spread.

Innovation Solution

A user equipment (UE) is equipped with a processor that receives a DMRS and a downlink signal, estimates interference and noise using a minimum mean square error (MMSE) scheme, and compensates for these estimates using channel estimation weights to generate compensated interference and noise.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If channel estimation and SNR estimation are performed using DMRS, then demodulation performance is improved, but interference and noise estimation accuracy deteriorates due to distortion from channel environment variations

Engineering Contradiction:

Improvedemodulation performanceVSAvoidinterference and noise estimation accuracy

Core Design Contradiction:

ReliabilityVSMeasurement precision

Solution Approach 1:

The patent applies feedback by using the estimated channel information to correct the interference and noise estimates. The processor generates compensated interference and noise by feedback correction using the estimated channel characteristics, thereby improving measurement precision while maintaining demodulation performance.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent changes the parameters of the estimation process by introducing compensation factors that adjust the interference and noise estimates based on channel environment variations. This modifies the estimation parameters to account for distortion effects, resolving the contradiction between demodulation performance and estimation accuracy.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If MMSE scheme is used for channel estimation, then channel estimation accuracy is improved, but computational complexity increases

Engineering Contradiction:

Improvechannel estimation accuracyVSAvoidcomputational complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies partial action by implementing MMSE estimation selectively for critical components while using simpler methods for less critical parts. The processor performs MMSE channel estimation only where necessary and uses the results to compensate for interference and noise, reducing overall computational complexity while maintaining required accuracy.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250080380A1Equipment configured to compensate for interference and noise and operating method thereof

Publication Date: 2025.03.06 SAMSUNG ELECTRONICS CO LTD

AI summary

A user equipment includes a transceiver configured to receive a demodulated reference signal (DMRS) having a predetermined pattern and a downlink signal including data from a base station, and a processor configured to generate estimated interference and noise by estimating interference and noise of a first channel of the DMRS corresponding to first tabs, based on temporary channel estimates corresponding to the DMRS and first channel estimation weights of the first tabs corresponding to a first minimum mean square error (MMSE) scheme, and generate compensated interference and noise by compensating for the estimated interference and noise, based on at least one of the first channel estimation weights.