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.
翻译：第3代伙伴关系项目于2021年开始研究第18版,人工智能(AI) -- -- 本土空气界面是第18版的主要特点之一,其中选择了AI用于传输国家信息(CSI)加强反馈作为代表使用的例子,这一条全面概述了AI用于在5G-Advanced和6G中加强CSI反馈。在5G-Aded中加强CSI反馈的范围,包括间接费用减少、精确度改进和频道预测,首先提出和讨论。然后,由AI提供的CSI反馈的三个代表性框架,包括单方面的默示反馈、基于双向自动编码的默示反馈和双向明确的反馈,被介绍和比较。最后,在AI用于加强CSI反馈的标准化方面,特别是侧重于评价、复杂性、协作、总体化、信息共享、与频道预测的联合设计和对等,已经确定和讨论。这一条款为AI为基础的CSI反馈改进标准化研究提供了指导方针。
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