UE Reference Signal Resource Classification for Link Adaptation

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Solution Overview

Problem

In wireless communication systems, existing methods for channel and interference measurement rely on network specifications, which may not accurately reflect the serving, interfering, or muting signals, leading to suboptimal link adaptation, especially in ultra-reliable low-latency communications (URLLC) where high reliability and low latency are critical.

Innovation Solution

User Equipment (UE) determines and reports the type of reference signal resources (RS resources) as channel measurement, interference measurement, or muting resources based on received measurements, allowing for more accurate estimation of signal quality and interference, facilitating better link adaptation without network specification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If network specifications are used to determine reference signal resource types, then the system has centralized control, but the measurement accuracy and link adaptation performance deteriorate

Engineering Contradiction:
Improvesignal quality and interference measurement accuracyVSAvoidUE processing complexity for determining resource types
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Instead of the network specifying the resource types as in conventional systems, the UE independently determines and reports the resource types based on received measurements. This inversion of the control flow enables more accurate measurement by removing network specification constraints, allowing the UE to identify resources based on actual signal characteristics rather than predetermined configurations.

Inventive Principle:
Principle #13The other way round (Inversion)

Solution Approach 2:

The UE performs self-determination of resource types by autonomously analyzing received reference signals and applying measurement criteria. The UE measures signal quality metrics, compares them against thresholds, and independently classifies resources as channel measurement, interference measurement, or muting resources without requiring network configuration, thereby achieving self-service operation that improves measurement accuracy.

Inventive Principle:
Principle #25Self-service

2Reliability

If UE determines resource types independently, then measurement accuracy improves, but feedback complexity and processing time increase

Engineering Contradiction:
Improvelink adaptation reliabilityVSAvoidtime for measurement and feedback processing
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The UE performs preliminary measurements of reference signals and pre-determines resource types before actual data transmission occurs. By measuring signal quality metrics in advance and classifying resources beforehand, the system prepares link adaptation information ahead of time, reducing processing delays during critical transmission periods and enabling faster response for URLLC communications.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The UE reports its determined resource types back to the network, creating a feedback loop that enables the network to adjust transmission parameters based on actual UE measurements. This feedback mechanism ensures link adaptation reliability by using real-time measurement data to optimize transmission settings, while the feedback structure is designed to be efficient and not overly time-consuming.

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If multiple reference signal resources are measured, then measurement comprehensiveness improves, but processing complexity and overhead increase

Engineering Contradiction:
Improvelink adaptation capabilityVSAvoidUE processing complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments reference signal resources into distinct categories (channel measurement resources, interference measurement resources, and muting resources) based on their signal characteristics. This segmentation allows the UE to process and report different resource types systematically, managing complexity through structured classification while maintaining comprehensive measurement capability across multiple resources.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The UE applies different measurement criteria and processing methods to different reference signal resources based on their local characteristics. By tailoring the measurement approach to the specific properties of each resource (e.g., signal strength, interference level), the system achieves comprehensive link adaptation without uniformly processing all resources, thereby reducing overall processing complexity.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS20230180034A1System and Method for Coordinated Transmissions and Feedback
Publication Date: 2023.06.08 HUAWEI TECH CO LTD
  • US20230180034A1 patent drawing
  • US20230180034A1 patent drawing
  • US20230180034A1 patent drawing

AI summary

A user equipment (UE) may measure reference signals (RSs) that are transmitted on one or more RS resources, whereby generating a RS measurement. The UE may determine, based on the RS measurement and a reporting rule, a RS resource of the one or more RS resources as a first type of resource of a plurality types of resources, and based thereon, generates a channel state information (CSI) report indicating the RS resource determined as the first type of resource, and reports the CSI report.