mlsanityData to 14 Oct 2026

AI for CSI Feedback Enhancement in 5G-Advanced

arXiv 2206.15132 ↗First posted 30 Jun 2022cs.IT cs.AI cs.NIcited by 4

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 6 of its 19 references that are in the map. First posted on arXiv 30 Jun 2022.

Builds on

6 of 19 references.

References · 6

  1. 2018ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Designcited by 1,136
  2. 2020Toward a 6G AI-Native Air Interfacecited by 55
  3. 2022Overview of Deep Learning-based CSI Feedback in Massive MIMO Systemscited by 37
  4. 2022An Overview of 5G Advanced Evolution in 3GPP Release 18cited by 14
  5. 2021Deep Learning-based Implicit CSI Feedback in Massive MIMOcited by 12
  6. 2021Fueling the Next Quantum Leap in Cellular Networks: Embracing AI in 5G Evolution towards 6Gcited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 1; 2026: 1.

4 papers.