MU-MIMO Signal Correlation Management via Receiver Filtering

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Solution Overview

Problem

In Multi-User Multiple-Input Multiple-Output (MU-MIMO) systems, existing technologies face challenges in effectively managing signal correlations and interferences, leading to reduced signal-to-interference and noise ratio (SINR) and inefficient modulation and coding scheme adaptation.

Innovation Solution

A method and apparatus for signal processing that involves generating and transmitting signals with a coding process that defines correlation relationships among signals, using precoding techniques like dirty-paper coding, zero-forcing, and regularized zero-forcing, and decoding these signals by de-correlating interference using correlation information sent through pilot or control signals, with the receiver employing a linear receiver filter to separate the desired signal, interference, and noise components.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If signals are spatially-multiplexed and transmitted in the same time-frequency slot in MU-MIMO systems, then channel utilization and overall performance are improved, but signal correlation and interference increase leading to reduced SINR

Engineering Contradiction:
Improvechannel utilizationVSAvoidsignal interference
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The patent extracts the correlation information from the transmitted signals and transmits it separately to the receiver. This allows the receiver to remove the interference component caused by signal correlation, effectively separating the desired signal from the harmful interference while maintaining high channel utilization

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces correlation information as an intermediary element that mediates between the transmitted signals and the receiver processing. This intermediary enables the receiver to understand and compensate for the correlation effects, transforming the interference problem into a manageable parameter

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If existing technologies are used in MU-MIMO systems, then system operation is simple, but modulation and coding scheme adaptation is inefficient due to inadequate interference management

Engineering Contradiction:
Improvesystem operation simplicityVSAvoidmodulation and coding scheme adaptation efficiency
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The patent performs preliminary action by calculating and transmitting correlation information before the actual signal reception and decoding processes. This preliminary provision of correlation data enables more efficient modulation and coding scheme adaptation at the receiver without significantly complicating the overall system operation

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent applies partial action by focusing specifically on the correlation information aspect rather than completely redesigning the MU-MIMO system. This selective approach improves adaptation efficiency while maintaining the simplicity of existing system operations

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS8971384B2Method and apparatus for modulation and coding scheme adaption in a MIMO system
Publication Date: 2015.03.03 HONOR DEVICE CO LTD
  • US8971384B2 patent drawing
  • US8971384B2 patent drawing
  • US8971384B2 patent drawing

AI summary

Method and apparatus for decoding a transmitted signal by a receiver in a MIMO system into a first estimate component for estimating a first signal, a first interference component indicating interference resulting from a correlation relationship among a set of signals to be transmitted, and a first noise component. A base station generates the transmitted signal from the set of signals through a coding process, the coding process defining a correlation relationship amongst the set of signals. The correlation information about the correlation relationship is transmitted to the receiver directly or by a dedicated reference symbol. The decoding is performed by determining a linear receiver filter for the first signal in accordance with the correlation information, and de-correlating the first signal and interferences.