MIMO Explicit Feedback Codebook Adaptation

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Solution Overview

Problem

In MIMO communication systems, existing technologies face limitations in accurately determining transmission rank and mode due to intrinsic feedback, which leads to difficulties in adapting to varying channel environments and results in high feedback overhead and quantization errors when using explicit feedback.

Innovation Solution

The method involves generating feedback information based on explicit channel matrices, their covariances, or processed forms using QR decomposition and eigen vectors, allowing for the transformation of codebooks to reduce quantization errors and adapt to changing channel conditions by providing detailed direction and quality information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If intrinsic feedback is used to determine transmission rank and mode, then the system can operate with simpler feedback mechanisms, but the accuracy in determining transmission parameters deteriorates due to inability to adapt to varying channel environments

Engineering Contradiction:
Improvefeedback mechanism complexityVSAvoidtransmission rank determination accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent introduces an explicit channel matrix as an intermediary between the channel environment and the feedback mechanism. This explicit channel matrix captures detailed channel state information including varying conditions, which then guides the selection of precoding matrices and transmission parameters. The intermediary transforms the complex channel environment into structured feedback information that maintains accuracy while enabling adaptation to varying conditions.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If explicit feedback with detailed channel information is used, then the accuracy of transmission parameter determination improves, but the feedback overhead increases due to the large amount of information that must be transmitted

Engineering Contradiction:
Improvechannel state information accuracyVSAvoidfeedback overhead
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent extracts only the essential elements of channel state information needed for accurate transmission parameter determination. Instead of feeding back the complete explicit channel matrix, the system extracts key components such as channel covariance information and uses these to select from predefined codebooks. This extraction process retains the necessary accuracy for determining transmission rank and mode while significantly reducing the amount of feedback data that must be transmitted.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent transforms the explicit channel matrix into different parameter representations such as channel covariance matrices and uses these transformed parameters for feedback. By changing the parameter form from the original channel matrix to covariance-based representations, the system maintains the essential channel characteristics needed for accurate parameter determination while reducing feedback overhead through more efficient parameter encoding and codebook selection.

Inventive Principle:
Principle #35Parameter changes

3Ease of operation

If a fixed codebook is used for quantization, then the system operation is simplified, but quantization errors increase when channel conditions vary

Engineering Contradiction:
Improvecodebook usage simplicityVSAvoidquantization accuracy
Core Design Contradiction:
Ease of operationVSManufacturing precision

Solution Approach 1:

The patent implements dynamic codebook adaptation where the codebook selection and structure can change based on channel conditions. The system uses channel covariance information to adaptively select from multiple codebooks or to modify codebook parameters, allowing the quantization process to remain simple in operation while adapting to varying channel environments. This dynamic approach maintains ease of use through predefined codebooks while improving quantization accuracy through condition-based selection and adaptation.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentEP2484025B1Methods in a multiple-input multiple-output communication system using explicit feedback
Publication Date: 2020.10.07 SAMSUNG ELECTRONICS CO LTD
  • EP2484025B1 patent drawingFigure 1~2
  • EP2484025B1 patent drawingFigure 3~4
  • EP2484025B1 patent drawingFigure 5~6

AI summary

A multiple input multiple output (MIMO) communication system using an explicit feedback is provided. In the MIMO communication system using the explicit feedback, a receiver may generate an explicit feedback vector by calculating an explicit channel matrix, and by vectorizing the explicit channel matrix or an explicit channel matrix processed using a predefined function. Feedback information generated based on the explicit feedback vector may be provided to a transmitter. The transmitter may reconfigure the explicit channel matrix or the processed explicit channel matrix based on the feedback information. The transmitter and the receiver may share the explicit channel matrix or the processed explicit channel matrix using an adaptively transformed codebook.