6G Intelligence

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Authors: Hamed Farhadi, Dani Korpi, Nabeel Nisar Bhat, Pawani Porambage, Halina Tarasiuk, Marcin Ziółkowski, Karol Kuczyński, José Miguel Mateos Ramos, Christian Häger, Henk Wymeersch, Ricard Vilalta, Merve Saimler
+2 more Leyli Karaçay, Milan Zivkovic
Cited by: 1
References: 7

Abstract

This chapter provides an overview of the role of artificial intelligence (AI) and machine learning (ML) in advancing 6G networks, emphasizing their impact across multiple layers of the 6G system. It discusses the motivations for AI/ML adoption within 6G, including data-driven architecture, enhancements in physical layer performance, and AI-driven management and orchestration (M&O). The chapter also addresses trustworthiness, highlighting AI/ML's role in security, privacy, and reliability. Additionally, it covers key enablers such as AI-driven radio air interface, network optimization strategies, and AI-driven intent-based service management, alongside relevant standardization efforts within 3rd Generation Partnership Project (3GPP) and O-RAN to ensure interoperability and scalability in future networks.

Publication details

Journal / source
6G to Build a Sustainable Future
Publisher
Wiley
Pages
217–252
Publication date
20 February 2026
Language
EN