6G Intelligence

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; Leyli Karacay; Milan Zivkovic

doi:10.1002/9781394363605.ch6

6G Intelligence

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
, Leyli Karacay
, Milan Zivkovic

BA6403 Advanced cybersecurity and cryptography

Telefonaktiebolaget LM Ericsson
Alcatel-Lucent
University of Antwerp
Warsaw University of Technology
Chalmers University of Technology
Telecommunications Technological Center of Catalonia (CTTC)
Apple Technology Engineering B.V. & Co. KG

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review

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.

Original language	English
Title of host publication	6G to Build a Sustainable Future
Editors	Mikko A. Uusitalo, Patrik Rugeland, Mauro R. Boldi, Ahmad Nimr
Publisher	Wiley-VCH Verlag
Pages	217-252
Number of pages	36
ISBN (Electronic)	978-1-394-36360-5
ISBN (Print)	978-1-394-36357-5
DOIs	https://doi.org/10.1002/9781394363605.ch6
Publication status	Published - 1 Jan 2026
MoE publication type	A3 Part of a book or another research book

Keywords

6G
AI
AI-driven management and orchestration
AI-driven radio air interface
AIaaS
artificial intelligence
digital twin
ISAC
LCM
life cycle management
machine learning
ML
MLOP
reinforcement learning

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10.1002/9781394363605.ch6

Cite this

Farhadi, H., Korpi, D., Bhat, N. N., Porambage, P., Tarasiuk, H., Ziółkowski, M., Kuczyński, K., Ramos, J. M. M., Häger, C., Wymeersch, H., Vilalta, R., Saimler, M., Karacay, L., & Zivkovic, M. (2026). 6G Intelligence. In M. A. Uusitalo, P. Rugeland, M. R. Boldi, & A. Nimr (Eds.), 6G to Build a Sustainable Future (pp. 217-252). Wiley-VCH Verlag. https://doi.org/10.1002/9781394363605.ch6

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KW - digital twin

KW - ISAC

KW - LCM

KW - life cycle management

KW - machine learning

KW - ML

KW - MLOP

KW - reinforcement learning

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6G Intelligence

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Keywords

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