MIMO Channel Feedback with Error Information

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

In MIMO wireless communication systems, channel information feedback assumes SU-MIMO mode, leading to errors in MU-MIMO mode, resulting in CQI mismatch and suboptimal system throughput.

Innovation Solution

A method and apparatus that include generating and transmitting channel estimation information and error information from terminals to base stations, allowing for more accurate MU-CQI estimation by reflecting channel estimation errors, thereby improving MU-MIMO transmission performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If channel information is fed back based on SU-MIMO mode assumption, then the feedback mechanism is simple and compatible with existing systems, but CQI mismatching occurs in MU-MIMO mode leading to suboptimal system throughput

Engineering Contradiction:

ImproveCQI estimation accuracyVSAvoidfeedback mechanism complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The feedback mechanism is segmented into two independent parts: traditional channel information (PMI, CQI, RI) and the additional channel estimation error information. This segmentation allows the error information to be added without fundamentally changing the existing feedback structure, maintaining compatibility while improving MU-MIMO performance

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The terminal performs channel estimation and calculates the estimation error in advance before feeding back the information. By performing this preliminary action, the base station receives pre-processed error information that can be directly applied to improve CQI estimation without requiring complex real-time processing

Inventive Principle:

Principle #10Preliminary action

2Productivity

If MU-MIMO mode is implemented to increase system throughput, then spectral efficiency improves, but channel estimation errors from SU-MIMO assumption cause CQI mismatching

Engineering Contradiction:

Improvesystem throughputVSAvoidCQI estimation accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

A feedback loop is established where the terminal measures the difference between actual channel conditions and SU-MIMO based estimates, then feeds back this error information to the base station. The base station uses this feedback to correct its CQI estimation, creating a continuous improvement cycle that resolves the CQI mismatching problem

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent replaces the purely assumption-based CQI estimation mechanism with a corrected estimation mechanism that uses actual measured error data. This substitution transforms the estimation process from theoretical (based on SU-MIMO assumptions) to empirical (based on actual channel measurement errors)

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS9686005B2Method and apparatus for feeding back channel estimation in multi-input multi-output system

Publication Date: 2017.06.20 SAMSUNG ELECTRONICS CO LTD

AI summary

Disclosed are a method and an apparatus for feeding back channel estimation in a MIMO system. A terminal receives a reference signal for estimating a channel from a base station; estimates the channel based on the reference signal; generates channel estimation information according to the channel estimation result and generates error information indicating an error of the channel estimation; and transmits feedback information including the channel estimation information and the error information to the base station.