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https://ceur-ws.org/Vol-3189/xpreface.pdf
Artificial Intelligence in beyond 5G and 6G
Wireless Networks - Preface
Alessandro Renda1 , Pietro Ducange1 , Tamas Borsos2 and Hannu Flinck3
1
Department of Information Engineering, University of Pisa, Largo Lucio Lazzarino 1, 56122 Pisa, Italy
2
Ericsson Research, Hungary
3
Nokia Bell Labs, Espoo, Finland
Abstract
The workshop Artificial Intelligence in beyond 5G and 6G Wireless Networks (AI6G 2022) was organized in
Padua on July 21, 2022, co-located with the IEEE World Congress on Computational Intelligence (WCCI
2022) which is the world’s largest technical event on computational intelligence, featuring the three
flagship conferences of the IEEE Computational Intelligence Society (CIS) under one roof: the 2022
International Joint Conference on Neural Networks (IJCNN 2022), the 2022 IEEE International Conference on
Fuzzy Systems (FUZZ-IEEE 2022), and the 2022 IEEE Congress on Evolutionary Computation (IEEE CEC
2022). These workshop proceedings reflect the objective of the workshop, conceived as a markedly
multidisciplinary event, to foster cross-fertilization of ideas among the areas of Artificial Intelligence
and Wireless Networks. Researchers and professionals working at the interface between these two fields
have contributed to these proceeding by presenting results of their ongoing research.
Artificial Intelligence and Machine Learning will play an increasing role in designing and opti-
mizing Next Generation Wireless Networks (NGWN). The fourth (4G), fifth (5G) and subsequent
generations, including those Beyond 5G (B5G), of cellular networks not only allow billions of
people to communicate with each other but also have the potential to support the digitisation of
industries and public administrations, machine-to-machine communication, distributed wireless
computing and several advanced services tailored for a wide range of customers. Even though
5G is still in its infancy, academia and industry started to look at B5G and to conceive the
sixth generation (6G) of cellular networks, which is expected to start being deployed from 2030.
Future 6G networks are envisioned to be much more complex and dynamic than 4G and 5G
networks. Heterogeneous end-user applications, such as high-precision manufacturing and
smart transportation will lead to stringent requirements in terms of reliability and latency.
Moreover, an increasing volume of devices will join the network and new coordination and
orchestration schemes will be necessary to support all operations and services.
Indeed, tools and techniques from the three big areas of Computational Intelligence will
underpin the NGWN and will be crucial to fulfill the requirements of performance, sustainability
and trustworthiness, to offer innovative services and to handle the increasing complexity of the
network. At the same time, the future 6G network architecture will foster novel applications of
AI6G’22: First International Workshop on Artificial Intelligence in beyond 5G and 6G Wireless Networks,
July 21, 2022, Padua, Italy
$ alessandro.renda@unipi.it (A. Renda); pietro.ducange@unipi.it (P. Ducange); tamas.borsos@ericsson.com
(T. Borsos); hannu.flinck@nokia-bell-labs.com (H. Flinck)
0000-0002-0482-5048 (A. Renda); 0000-0003-4510-1350 (P. Ducange); 0000-0001-9619-6682 (H. Flinck)
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
Workshop
Proceedings
http://ceur-ws.org
ISSN 1613-0073
CEUR Workshop Proceedings (CEUR-WS.org)
AI, featuring an ever-increasing number of intelligent edge devices connected over a flexible
platform.
The first edition of this workshop was aimed at bringing together researchers, professionals
and technologists working in Computational Intelligence and Wireless Communication fields,
providing an international and multidisciplinary forum to share information on their latest
investigation related to the adoption of AI techniques in NGWN. To stimulate discussion, we
considered two types of submissions: regular communications, describing unpublished work
that is being presented for the first time, and ideas describing new research directions, work in
progress and doctoral work.
The topics of interest for the first edition revolved around the following areas, relevant to the
field of Computational Intelligence:
• Concepts and applications of neural networks in B5G/6G networks;
• Concepts and applications of evolutionary computation in B5G/6G networks;
• Concepts and applications of fuzzy logic in B5G/6G networks;
• AI/CI-native B5G/6G networks: air interface design, communications mechanisms, se-
mantic and goal-oriented communications;
• Distributed learning architectures: edge AI, federated learning;
• Big data mining for 6G;
• Computational Intelligence towards trustworthy AI: technical robustness and safety,
privacy and data governance, transparency and explainability;
• Governing AI mechanisms;
• Resource allocation for AI mechanisms;
• Sustainable AI;
• Performance evaluation and experimentation of AI-based solutions for B5G/6G networks.
The papers presented at AI6G2022 offer exciting contributions in many of these areas. There
were 13 short papers submitted for this workshop; out of these, 11 high-quality papers (9 regular
communications and 2 ideas) were accepted for presentation and are published in this volume.
The quality of the contributions is assured by a rigorous peer-review process: each submission
has been assessed by at least two reviewers of a high-caliber Technical Program Committee,
whose members come from academia or IT companies. They are listed below, in alphabetical
order.
• Andras Benczur, Institute for Computer Science and Control, Hungary
• Tamas Borsos, Ericsson, Hungary
• Panagiotis Demestichas, University of Piraeus, WINGS ICT Solutions, Greece
• Pietro Ducange, University of Pisa, Italy
• Michela Fazzolari, IIT, CNR, Italy
• Miltiadis Filippou, Intel, Germany
• Hannu Flinck, Nokia, Finland
• Alberto Gotta, ISTI, CNR, Italy
• Ignacio Labrador, ATOS, Spain
• Giada Landi, Nextworks, Italy
• Luc Le Magoarou, BCOM, France
• Francesco Marcelloni, University of Pisa, Italy
• Jafar Mohammadi, Nokia, Germany
• Giovanni Nardini, University of Pisa, Italy
• Riccardo Pecori, University of Sannio, Italy
• Premanand Rajatheva, University of OULU, Finland
• Alessandro Renda, University of Pisa, Italy
• Merve Saimler, Ericsson
• Elif Ustundag Soykan, Ericsson, Turkey
• Massimo Vecchio, FBK, Italy
In addition to the presentation of peer-reviewed papers, the workshop has hosted two keynote
talks, focused on crucial aspects of the current trends of AI and WN, provided by well-respected
invited speakers:
• “Federated Learning and Explainable Artificial Intelligence: a Favourable Synergy ”, by
Prof. Francesco Marcelloni (University of Pisa).
• “The role of AI and edge computing toward 6G systems: how simplifying a bigger
complexity with MEC and network automation”, by Dr. Dario Sabella (Intel).
To the two keynote speakers, members of the program committee, authors of the papers, those
who helped in the organization and those who attended the event, we extend our heartfelt thanks
for contributing to the success of the First International Workshop on Artificial Intelligence in
beyond 5G and 6G Wireless Networks (AI6G).