Table of Contents

GTI Metrics and Test Methods Towards AI device White Paper

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Table of Contents

1. Executive Summary

2. Abbreviations

3. Introduction

4. 5G-A AI Device Evaluation System

4.1. Evaluation system

4.1.1. Application scenarios

4.1.2. Testing environment

4.1.3. Assessment tools

4.1.4. Evaluation indicators 

4.1.5. Test interface

4.1.6. Evaluation standards

4.2. Tested object

5. Communication AI Device Evaluation Solution

5.1. AI based beam prediction and management

5.1.1. Application scenarios

5.1.2. Evaluation environment and tools

5.1.3. Evaluation indicators

5.1.4. Evaluation standards

5.2 AI. based CSI prediction

5.2.1. Application scenarios

5.2.2. Evaluation environment and tools

5.2.3. Evaluation indicators

5.2.4. Evaluation standards

5.3. AI weak signal prediction

5.3.1. Application scenarios

5.3.2. Evaluation environment and tools

5.3.3. Evaluation indicators

5.3.4. Evaluation standards

5.4. AI data stall prediction

5.4.1. Application scenarios

5.4.2. Evaluation environment and tools

5.4.3. Evaluation indicators

5.4.4. Evaluation standards

6. Generated AI Device Evaluation Solution

6.1. AI text and image generation

6.1.1. Application scenarios

6.1.2. Evaluation environment and tools

6.1.3. Evaluation indicators

6.1.4. Evaluation standards

6.2. AI multimodal man-machine interaction

6.2.1. Application scenarios

6.2.2. Evaluation environment and tools

6.2.3. Evaluation indicators

6.2.4. Evaluation standards

7. Development Trends

7.1. AI Agent evaluation

7.2. Zero overhead superimposed-pilot design and evaluation

7.3. Channel and Wireless Environment Semantic Communication and Evaluation

8. Summary and Prospect