AI for CSI Prediction in 5G-Advanced and Beyond
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Abstract (arXiv)
Artificial intelligence (AI) is pivotal in advancing fifth-generation (5G)-Advanced and sixth-generation systems, capturing substantial research interest. Both the 3rd Generation Partnership Project (3GPP) and leading corporations champion AI's standardization in wireless communication. This piece delves into AI's role in channel state information (CSI) prediction, a sub-use case acknowledged in 5G-Advanced by the 3GPP. We offer an exhaustive survey of AI-driven CSI prediction, highlighting crucial elements like accuracy, generalization, and complexity. Further, we touch on the practical side of model management, encompassing training, monitoring, and data gathering. Moreover, we explore prospects for CSI prediction in future wireless communication systems, entailing integrated design with feedback, multitasking synergy, and predictions in rapid scenarios. This article seeks to be a touchstone for subsequent research in this burgeoning domain.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Apr 2025.
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Citing papers per year: 2025: 2; 2026: 1.
3 papers.
- 2025Generative Diffusion Receivers: Achieving Pilot-Efficient MIMO-OFDM Communicationscited by 3
- 2025CSI-4CAST: A Hybrid Deep Learning Model for CSI Prediction with Comprehensive Robustness and Generalization Testingcited by 0
- 2026Contrastive Predictive Coding with Compression for Enhanced Channel State Feedback in Wireless Networkscited by 0
- 2026Contrastive Predictive Coding with Compression for Enhanced Channel State Feedback in Wireless Networks26 Jun 2026
- 2025CSI-4CAST: A Hybrid Deep Learning Model for CSI Prediction with Comprehensive Robustness and Generalization Testing14 Oct 2025
- 2025Generative Diffusion Receivers: Achieving Pilot-Efficient MIMO-OFDM Communications23 Jun 2025