Large Language Models in the 6G-Enabled Computing Continuum: a White Paper

Markus Abel; Ijaz Ahmad; Constantino Alvarez Casado; Rico  Berner; Mickaël  Bettinelli; Kaj Mikael  Björk; Michele  Capobianco; James Gross; Tri Hong Nguyen; Pan Hui; Panos Kostakos; Abhishek  Kumar; Mika-Petri Laakkonen; Xiaoli Liu; Zhi Liu; Le  Nguyen,; Huong  Nguyen; Basak Ozan  Ozparlak; Ville Pietiläinen; Susanna  Pirttikangas; Stéphan  Plassart; Sampo  Pyysalo; Soheyb  Ribouh; Jari Rinne; Mehdi  Safanpour; Alaa  Saleh; Saeid Sheikhi; Olli  Silvén; Harry  Souris; Xiang  Su; Roope  Suomalainen; Athanasios V.  Vasilakos; Aleksandr  Zavodovski; Qi  Zhang; Peng Yuan  Zhou; Alireza  Zourmand

Large Language Models in the 6G-Enabled Computing Continuum: a White Paper

Markus Abel, Ijaz Ahmad, Constantino Alvarez Casado, Rico Berner, Mickaël Bettinelli, Kaj Mikael Björk, Michele Capobianco, James Gross, Tri Hong Nguyen, Pan Hui, Panos Kostakos, Abhishek Kumar, Mika-Petri Laakkonen, Xiaoli Liu, Zhi Liu, Le Nguyen,, Huong Nguyen, Basak Ozan Ozparlak, Ville Pietiläinen, Susanna Pirttikangas Stéphan Plassart, Sampo Pyysalo, Soheyb Ribouh, Jari Rinne, Mehdi Safanpour, Alaa Saleh, Saeid Sheikhi, Olli Silvén, Harry Souris, Xiang Su, Roope Suomalainen, Athanasios V. Vasilakos, Aleksandr Zavodovski, Qi Zhang, Peng Yuan Zhou, Alireza Zourmand

Tutkimustuotokset: Kirja/raportti › Tutkimusraportti

Abstrakti

The evolution towards 6G architecture will shift communication networks, with artificial intelligence (AI) playing a key role. This white paper examines the integration of Large Language Models (LLMs) within 6G systems. Their ability to grasp intent, reason, and plan, and execute commands will redefine network
functionalities and interactions. An essential component is the AI Interconnect framework, designed to facilitate AI operations within the network. Building
on the evolving state-of-the-art, we present a new architectural perspective for the next generation of mobile networks. Here, LLMs will work together with
pre-generative AI and machine learning (ML) algorithms. This union combines old and new methods, merging established approaches with AI technologies. We provide an overview of this evolution and explore the applications arising from such an integration. We envisage an integration where AI becomes central to future communication networks, offering insight into the structure and function of a 6G network centered on AI

Alkuperäiskieli	englanti
Julkaisupaikka	Oulu
Kustantaja	Oulun yliopisto
Sivumäärä	74
ISBN (elektroninen)	978-952-62-4376-4
ISBN (painettu)	978-952-62-4375-7
Tila	Julkaistu - 24 tammik. 2025
OKM-julkaisutyyppi	D4 Julkaistu tutkimus- tai kehittämisraportti

Julkaisusarja

Sarja	6G Research Visions
Numero	14
Vuosikerta	2024
ISSN	2669-963X

Hakusanat

6G
Generative AI
Large Language Model (LLM)
Generative Pre-trained Transformers (GPT)
Edge Intelligence
Open RAN (O-RAN)
AI RAN

Tieteenala

Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka

Pääsy tutkimustuotokseen

https://urn.fi/URN:NBN:fi:oulu-202501211268Lisenssi: CC BY-NC

Viite tähän julkaisuun

Abel, M., Ahmad, I., Casado, C. A., Berner, R., Bettinelli, M., Björk, K. M., Capobianco, M., Gross, J., Nguyen, T. H., Hui, P., Kostakos, P., Kumar, A., Laakkonen, M.-P., Liu, X., Liu, Z., Nguyen, L., Nguyen, H., Ozparlak, B. O., Pietiläinen, V., ... Zourmand, A. (2025). Large Language Models in the 6G-Enabled Computing Continuum: a White Paper. Oulun yliopisto. 6G Research Visions Vuosikerta 2024 Nro 14 https://urn.fi/URN:NBN:fi:oulu-202501211268

@book{2896d582da8b4eb5bdd1862f7b85cd20,

title = "Large Language Models in the 6G-Enabled Computing Continuum: a White Paper",

abstract = "The evolution towards 6G architecture will shift communication networks, with artificial intelligence (AI) playing a key role. This white paper examines the integration of Large Language Models (LLMs) within 6G systems. Their ability to grasp intent, reason, and plan, and execute commands will redefine network functionalities and interactions. An essential component is the AI Interconnect framework, designed to facilitate AI operations within the network. Building on the evolving state-of-the-art, we present a new architectural perspective for the next generation of mobile networks. Here, LLMs will work together with pre-generative AI and machine learning (ML) algorithms. This union combines old and new methods, merging established approaches with AI technologies. We provide an overview of this evolution and explore the applications arising from such an integration. We envisage an integration where AI becomes central to future communication networks, offering insight into the structure and function of a 6G network centered on AI.",

keywords = "6G, Generative AI, Large Language Model (LLM), Generative Pre-trained Transformers (GPT), Edge Intelligence, Open RAN (O-RAN), AI RAN, telecommunications technology, generative artificial intelligence, language models, transformers, artificial intelligence, data communications networks, machine learning, mobile communication networks, wireless data transmission, information networks",

author = "Markus Abel and Ijaz Ahmad and Casado, {Constantino Alvarez} and Rico Berner and Micka{\"e}l Bettinelli and Bj{\"o}rk, {Kaj Mikael} and Michele Capobianco and James Gross and Nguyen, {Tri Hong} and Pan Hui and Panos Kostakos and Abhishek Kumar and Mika-Petri Laakkonen and Xiaoli Liu and Zhi Liu and Le Nguyen, and Huong Nguyen and Ozparlak, {Basak Ozan} and Ville Pietil{\"a}inen and Susanna Pirttikangas and St{\'e}phan Plassart and Sampo Pyysalo and Soheyb Ribouh and Jari Rinne and Mehdi Safanpour and Alaa Saleh and Saeid Sheikhi and Olli Silv{\'e}n and Harry Souris and Xiang Su and Roope Suomalainen and Vasilakos, {Athanasios V.} and Aleksandr Zavodovski and Qi Zhang and Zhou, {Peng Yuan} and Alireza Zourmand",

year = "2025",

month = jan,

day = "24",

language = "English",

isbn = "978-952-62-4375-7",

series = "6G Research Visions",

publisher = "Oulun yliopisto",

number = "14",

address = "Finland",

}

Abel, M, Ahmad, I, Casado, CA, Berner, R, Bettinelli, M, Björk, KM, Capobianco, M, Gross, J, Nguyen, TH, Hui, P, Kostakos, P, Kumar, A, Laakkonen, M-P, Liu, X, Liu, Z, Nguyen, L, Nguyen, H, Ozparlak, BO, Pietiläinen, V, Pirttikangas, S, Plassart, S, Pyysalo, S, Ribouh, S, Rinne, J, Safanpour, M, Saleh, A, Sheikhi, S, Silvén, O, Souris, H, Su, X, Suomalainen, R, Vasilakos, AV, Zavodovski, A, Zhang, Q, Zhou, PY & Zourmand, A 2025, Large Language Models in the 6G-Enabled Computing Continuum: a White Paper. 6G Research Visions, Nro 14, Vuosikerta 2024, Oulun yliopisto, Oulu. <https://urn.fi/URN:NBN:fi:oulu-202501211268>

TY - BOOK

T1 - Large Language Models in the 6G-Enabled Computing Continuum

T2 - a White Paper

AU - Abel, Markus

AU - Ahmad, Ijaz

AU - Casado, Constantino Alvarez

AU - Berner, Rico

AU - Bettinelli, Mickaël

AU - Björk, Kaj Mikael

AU - Capobianco, Michele

AU - Gross, James

AU - Nguyen, Tri Hong

AU - Hui, Pan

AU - Kostakos, Panos

AU - Kumar, Abhishek

AU - Laakkonen, Mika-Petri

AU - Liu, Xiaoli

AU - Liu, Zhi

AU - Nguyen,, Le

AU - Nguyen, Huong

AU - Ozparlak, Basak Ozan

AU - Pietiläinen, Ville

AU - Pirttikangas, Susanna

AU - Plassart, Stéphan

AU - Pyysalo, Sampo

AU - Ribouh, Soheyb

AU - Rinne, Jari

AU - Safanpour, Mehdi

AU - Saleh, Alaa

AU - Sheikhi, Saeid

AU - Silvén, Olli

AU - Souris, Harry

AU - Su, Xiang

AU - Suomalainen, Roope

AU - Vasilakos, Athanasios V.

AU - Zavodovski, Aleksandr

AU - Zhang, Qi

AU - Zhou, Peng Yuan

AU - Zourmand, Alireza

PY - 2025/1/24

Y1 - 2025/1/24

N2 - The evolution towards 6G architecture will shift communication networks, with artificial intelligence (AI) playing a key role. This white paper examines the integration of Large Language Models (LLMs) within 6G systems. Their ability to grasp intent, reason, and plan, and execute commands will redefine network functionalities and interactions. An essential component is the AI Interconnect framework, designed to facilitate AI operations within the network. Building on the evolving state-of-the-art, we present a new architectural perspective for the next generation of mobile networks. Here, LLMs will work together with pre-generative AI and machine learning (ML) algorithms. This union combines old and new methods, merging established approaches with AI technologies. We provide an overview of this evolution and explore the applications arising from such an integration. We envisage an integration where AI becomes central to future communication networks, offering insight into the structure and function of a 6G network centered on AI.

AB - The evolution towards 6G architecture will shift communication networks, with artificial intelligence (AI) playing a key role. This white paper examines the integration of Large Language Models (LLMs) within 6G systems. Their ability to grasp intent, reason, and plan, and execute commands will redefine network functionalities and interactions. An essential component is the AI Interconnect framework, designed to facilitate AI operations within the network. Building on the evolving state-of-the-art, we present a new architectural perspective for the next generation of mobile networks. Here, LLMs will work together with pre-generative AI and machine learning (ML) algorithms. This union combines old and new methods, merging established approaches with AI technologies. We provide an overview of this evolution and explore the applications arising from such an integration. We envisage an integration where AI becomes central to future communication networks, offering insight into the structure and function of a 6G network centered on AI.

KW - 6G

KW - Generative AI

KW - Large Language Model (LLM)

KW - Generative Pre-trained Transformers (GPT)

KW - Edge Intelligence

KW - Open RAN (O-RAN)

KW - AI RAN

KW - telecommunications technology

KW - generative artificial intelligence

KW - language models

KW - transformers

KW - artificial intelligence

KW - data communications networks

KW - machine learning

KW - mobile communication networks

KW - wireless data transmission

KW - information networks

M3 - Commissioned report

SN - 978-952-62-4375-7

T3 - 6G Research Visions

BT - Large Language Models in the 6G-Enabled Computing Continuum

PB - Oulun yliopisto

CY - Oulu

ER -

Large Language Models in the 6G-Enabled Computing Continuum: a White Paper

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