An Overview of the 3GPP Study on Artificial Intelligence for 5G New Radio
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Abstract (arXiv)
Air interface is a fundamental component within any wireless communication system. In Release 18, the 3rd Generation Partnership Project (3GPP) delves into the possibilities of leveraging artificial intelligence (AI)/machine learning (ML) to improve the performance of the fifth-generation (5G) New Radio (NR) air interface. This endeavor marks a pioneering stride within 3GPP's journey in shaping wireless communication standards. This article offers a comprehensive overview of the pivotal themes explored by 3GPP in this domain. Encompassing a general framework for AI/ML and specific use cases such as channel state information feedback, beam management, and positioning, it provides a holistic perspective. Moreover, we highlight the potential trajectory of AI/ML for the NR air interface in 3GPP Release 19, a pathway that paves the journey towards the sixth generation (6G) wireless communication systems that will feature integrated AI and communication as a key usage scenario.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Aug 2023.
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Citing papers per year: 2023: 2; 2024: 2; 2025: 1; 2026: 3.
8 papers.
- 20235G Positioning Advancements with AI/MLcited by 2
- 2025AI/ML Life Cycle Management for Interoperable AI Native RANcited by 2
- 2023Hierarchical ML Codebook Design for Extreme MIMO Beam Managementcited by 1
- 2024Generative AI for O-RAN Slicing: A Semi-Supervised Approach with VAE and Contrastive Learningcited by 1
- 2024Neural Codebook Design for Network Beam Managementcited by 1
- 2026Optimal Power Allocation and AI Receiver Design for Superimposed DMRS and Data Transmissioncited by 0
- 2026Online Learning via Learned Latent Bayesian Trackingcited by 0
- 2026Train to Stitch: Topology-Preserving Regularization for Interoperable Representationscited by 0
- 2026Train to Stitch: Topology-Preserving Regularization for Interoperable Representations14 Oct 2026
- 2026Online Learning via Learned Latent Bayesian Tracking25 Sep 2026
- 2026Optimal Power Allocation and AI Receiver Design for Superimposed DMRS and Data Transmission13 Aug 2026
- 2025AI/ML Life Cycle Management for Interoperable AI Native RAN24 Jul 2025
- 2024Neural Codebook Design for Network Beam Management5 Mar 2024
- 2024Generative AI for O-RAN Slicing: A Semi-Supervised Approach with VAE and Contrastive Learning16 Jan 2024
- 2023Hierarchical ML Codebook Design for Extreme MIMO Beam Management24 Nov 2023
- 20235G Positioning Advancements with AI/ML10 Nov 2023