AI for CSI Feedback Enhancement in 5G-Advanced

TL;DR

This paper reviews AI techniques for improving CSI feedback in 5G-Advanced, compares frameworks, discusses standardization efforts, and highlights challenges and open problems in integrating AI into 5G networks.

Contribution

It provides a comprehensive overview of AI for CSI feedback in 5G-Advanced, including frameworks, standardization status, challenges, and future research directions.

Findings

Comparison of AI-enabled and non-AI CSI feedback frameworks

Detailed discussion on standardization scope and challenges

Guidelines for future AI-based CSI feedback standardization

Abstract

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.