AI Communication Scheme Evaluation Before Execution

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Solution Overview

Problem

Existing performance evaluation methods for AI-based wireless communication schemes rely heavily on execution results and require significant computational and resource overhead, making prior evaluation impossible.

Innovation Solution

A method for determining AI scheme performance based on a first AI scheme without relying on execution results, allowing for flexible performance assessment of second AI schemes in communication tasks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If performance evaluation relies on execution results of the target communication scheme, then measurement precision is improved, but loss of time is worsened because evaluation can only be obtained after execution

Engineering Contradiction:
Improveperformance evaluation accuracyVSAvoidevaluation timing delay
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by using a first AI scheme to perform a first communication task and determining performance metrics before the second AI scheme is executed. The performance determination is performed in advance based on the first AI scheme's execution results, allowing the second AI scheme to be evaluated prior to its actual deployment or execution in the target communication scenario.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If performance evaluation relies on execution results, then measurement precision is improved, but device complexity is worsened due to significant computational and resource overhead

Engineering Contradiction:
Improveperformance evaluation accuracyVSAvoidcomputational overhead
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies copying by using the first AI scheme as a proxy or representative model to evaluate the performance of the second AI scheme. Instead of executing and measuring the second AI scheme directly (which would require significant computational resources), the system uses the first AI scheme's execution results as a substitute or copy to infer the second AI scheme's performance, thereby reducing the computational overhead required for evaluation.

Inventive Principle:
Principle #26Copying

3Measurement precision

If performance evaluation waits for execution results, then measurement precision is improved, but productivity is worsened because evaluation cannot be performed before execution

Engineering Contradiction:
Improveperformance evaluation accuracyVSAvoidevaluation efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent enables preliminary performance evaluation by determining the performance of the second AI scheme based on the first AI scheme's execution results before the second AI scheme is actually executed. This allows for early assessment and selection of AI schemes, improving productivity by eliminating the need to wait for execution results before evaluation can begin.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentEP4645776A1Performance determination method and apparatus, device, and storage medium
Publication Date: 2025.11.05 GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD
  • EP4645776A1 patent drawingFigure 1~2
  • EP4645776A1 patent drawingFigure 3~5
  • EP4645776A1 patent drawingFigure 6~7

AI summary

The present disclosure discloses a method and apparatus for performance determination, a device, and a storage medium, and relates to the field of communications. The method includes determining a performance of a second artificial intelligence (Al) scheme based on a first AI scheme, where the second AI scheme is used to perform a first communication task. The performance of the second AI scheme is determined based on the first AI scheme without relying on execution results of the second AI scheme, thereby improving the flexibility of performance determination for AI-based communication schemes.