Covariance Matrix Correction for Interference Suppression in Wireless Receivers

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Solution Overview

Problem

In wireless communication systems like LTE and NR, high-density base station installations lead to inter-cell interference, which affects transmission signal estimation accuracy, especially in MMSE-IRC receiving apparatuses, where pseudo-interference signals can degrade reception quality.

Innovation Solution

A wireless receiving apparatus that includes a channel estimation unit, a covariance matrix estimation unit, a covariance matrix correction unit, and a weight multiplication unit, where an offset value is added to the covariance matrix's off-diagonal elements to improve transmission signal estimation accuracy by correcting for pseudo-interference signals.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If an offset value is added to the diagonal elements of the covariance matrix (MMSE-IRC method), then the transmission signal estimation accuracy is improved to some extent, but the accuracy is still insufficient in high interference environments

Engineering Contradiction:
Improvetransmission signal estimation accuracyVSAvoidinter-cell interference
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The invention changes the parameter being modified from diagonal elements only to off-diagonal elements of the covariance matrix. By adding an offset value specifically to the off-diagonal elements (which represent interference components), the method directly addresses the interference problem while improving signal estimation accuracy in high interference environments where conventional diagonal loading fails.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The invention applies local quality by selectively modifying only the off-diagonal elements of the covariance matrix while leaving diagonal elements unchanged. This localized modification targets specifically the interference representation in the matrix, allowing precise control over interference suppression without affecting the signal power representation.

Inventive Principle:
Principle #3Local quality

2Productivity

If high-density base station installation is promoted with high frequency re-utilization rate to increase system capacity, then system capacity is improved, but inter-cell interference increases

Engineering Contradiction:
Improvesystem capacityVSAvoidinter-cell interference
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The invention converts the harmful interference information contained in the off-diagonal elements of the covariance matrix into a beneficial component for signal estimation. By adding an offset value to these interference-related elements, the method transforms the interference representation into a form that improves transmission signal estimation accuracy, effectively turning the interference problem into a solution enabler.

Inventive Principle:
Principle #22Blessing in disguise (Convert harm into benefit)

Data Source

PatentUS11949473B2Wireless receiving apparatus, wireless communication system, and wireless receiving method
Publication Date: 2024.04.02 NEC CORP
  • US11949473B2 patent drawing
  • US11949473B2 patent drawing
  • US11949473B2 patent drawing

AI summary

A receiving circuit (100) includes: a channel estimation unit (20) configured to estimate a channel response vector based on a reception signal received via a plurality of antennas (10); a covariance matrix estimation unit (30) configured to estimate a covariance matrix based on the reception signal and the channel response vector; a covariance matrix correction unit (40) configured to correct the covariance matrix by adding, to the covariance matrix, an offset value with a value in components including off-diagonal elements of the matrix; and a weight multiplication unit (50) configured to estimate a transmission signal by multiplying a weight based on the channel response vector and the corrected covariance matrix by the reception signal.