AI for CSI Feedback Enhancement in 5G-Advanced
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2022
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| _version_ | 1866916455185907712 |
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| author | Guo, Jiajia Wen, Chao-Kai Jin, Shi Li, Xiao |
| author_facet | Guo, Jiajia Wen, Chao-Kai Jin, Shi Li, Xiao |
| contents | The 3rd Generation Partnership Project started the study of Release 18 in 2021. Artificial intelligence (AI)-native air interface is one of the key features of Release 18, where AI for channel state information (CSI) feedback enhancement is selected as the representative use case. This article provides an overview of AI for CSI feedback enhancement in 5G-Advanced. Several representative non-AI and AI-enabled CSI feedback frameworks are first introduced and compared. Then, the standardization of AI for CSI feedback enhancement in 5G-advanced is presented in detail. First, the scope of the AI for CSI feedback enhancement in 5G-Advanced is presented and discussed. Then, the main challenges and open problems in the standardization of AI for CSI feedback enhancement, especially focusing on performance evaluation and the design of new protocols for AI-enabled CSI feedback, are identified and discussed. This article provides a guideline for the standardization study of AI-based CSI feedback enhancement. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2206_15132 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | AI for CSI Feedback Enhancement in 5G-Advanced Guo, Jiajia Wen, Chao-Kai Jin, Shi Li, Xiao Information Theory Artificial Intelligence Networking and Internet Architecture Signal Processing The 3rd Generation Partnership Project started the study of Release 18 in 2021. Artificial intelligence (AI)-native air interface is one of the key features of Release 18, where AI for channel state information (CSI) feedback enhancement is selected as the representative use case. This article provides an overview of AI for CSI feedback enhancement in 5G-Advanced. Several representative non-AI and AI-enabled CSI feedback frameworks are first introduced and compared. Then, the standardization of AI for CSI feedback enhancement in 5G-advanced is presented in detail. First, the scope of the AI for CSI feedback enhancement in 5G-Advanced is presented and discussed. Then, the main challenges and open problems in the standardization of AI for CSI feedback enhancement, especially focusing on performance evaluation and the design of new protocols for AI-enabled CSI feedback, are identified and discussed. This article provides a guideline for the standardization study of AI-based CSI feedback enhancement. |
| title | AI for CSI Feedback Enhancement in 5G-Advanced |
| topic | Information Theory Artificial Intelligence Networking and Internet Architecture Signal Processing |
| url | https://arxiv.org/abs/2206.15132 |