AI for CSI Feedback Enhancement in 5G-Advanced and 6G
- URL: http://arxiv.org/abs/2206.15132v1
- Date: Thu, 30 Jun 2022 08:52:43 GMT
- Title: AI for CSI Feedback Enhancement in 5G-Advanced and 6G
- Authors: Jiajia Guo, Chao-Kai Wen, Shi Jin, Xiao Li
- Abstract summary: 3rd Generation Partnership Project has started the study of Release 18 in 2021.
This article provides a comprehensive overview of AI for CSI feedback enhancement in 5G-Advanced and 6G.
- Score: 51.276468472631976
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The 3rd Generation Partnership Project has 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 a
comprehensive overview of AI for CSI feedback enhancement in 5G-Advanced and
6G. The scope of the AI for CSI feedback enhancement in 5G-Advanced, including
overhead reduction, accuracy improvement, and channel prediction, is first
presented and discussed. Then, three representative frameworks of AI-enabled
CSI feedback, including one-sided implicit feedback, two-sided
autoencoder-based implicit feedback, and two-sided explicit feedback, are
introduced and compared. Finally, the considerations in the standardization of
AI for CSI feedback enhancement, especially focusing on evaluation, complexity,
collaboration, generalization, information sharing, joint design with channel
prediction, and reciprocity, have been identified and discussed. This article
provides a guideline for the standardization study of the AI-based CSI feedback
enhancement.
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