mlsanityData to 14 Oct 2026

An Overview of the 3GPP Study on Artificial Intelligence for 5G New Radio

arXiv 2308.05315 ↗First posted 10 Aug 2023cs.NI eess.SPcited by 8

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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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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 2; 2025: 1; 2026: 3.

8 papers.