| Vol-3189 urn:nbn:de:0074-3189-2 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# AI6G 2022
Artificial Intelligence in Beyond 5G and 6G Wireless Networks 2022

### Short Paper Proceedings of the First International Workshop on Artificial Intelligence in Beyond 5G and 6G Wireless Networks (AI6G 2022)
co-located with IEEE World Congress on Computational Intelligence (WCCI2022)

### Padova, Italy, July 21, 2022.

Edited by

### Alessandro Renda *
Pietro Ducange *
Tamas Borsos **
Hannu Flinck ***

* University of Pisa, Department of Information Engineering, Pisa, Italy
** Ericsson, Hungary
*** Nokia, Finland

## Table of Contents

- Preface
  Summary: There were 13 short papers submitted for peer-review to this workshop. Out of these, 11 papers were accepted for this volume.

- I Move U Move: V2X-Enabled Wireless Towing
  Constantine Ayimba, Vincenzo Sciancalepore, Paolo Casari, Vincenzo Mancuso
- AI for Zero-Touch Management of Satellite Networks in B5G and 6G Infrastructures
  Antonio Galli, Pietro Giardina, Maria Guta, Leonardo Lossi, Antonio Mancina, Vincenzo Moscato, Fabio Patrone, Cesare Roseti, Simon Pietro Romano, Giancarlo Sperlí, Francesco Zampognaro
- Incremental Learning-based MIMO Relay Selection
  Ankit Gupta, Mathini Sellathurai, Venkata V. Mani, Tharmalingam Ratnarajah
- A Stacked Autoencoder-based Decode-and-Forward Relay Networks with I/Q Imbalance
  Ankit Gupta, Mathini Sellathurai, Tharmalingam Ratnarajah
- Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective
  Miltiadis C. Filippou, Vasiliki Lamprousi, Jafar Mohammadi, Mattia Merluzzi, Elif Ustundag Soykan, Tamas Borsos, Nandana Rajatheva, Nuwanthika Rajapaksha, Luc Le Magoarou, Pietro Piscione, Andras Benczur, Quentin Lampin, Guillaume Larue, Dani Korpi, Pietro Ducange, Alessandro Renda, Hamed Farhadi, Johan Haraldson, Leonardo Gomes Baltar, Emilio Calvanese Strinati, Panagiotis Demestichas, Emrah Tomur
- Joint Message Passing and Auto-Encoder for Deep Learning
  Yiqun Ge, Wuxian Shi, Jian Wang, Rong Li, Wen Tong
- Towards Trustworthy AI for QoE prediction in B5G/6G Networks
  José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Giovanni Nardini, Alessandro Noferi, Alessandro Renda, Giovanni Stea, Antonio Virdis
- A Security-Friendly Privacy Solution for Federated Learning
  Ferhat Karakoç, Leyli Karaçay, Pinar Çomak, Utku Gülen, Ramin Fuladi, Elif Ustundag Soykan
- FedTCS: Federated Learning with Time-based Client Selection to Optimize Edge Resources
  Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta
- Causal Explanations for Performance in Radio Networks
  Domokos M. Kelen, Péter Kersch, András A. Benczúr
- Latency-Energy Tradeoffs in Federated Learning on Resource Constrained Edge Computing Systems
  Simone Pampaloni, Nicola Tonellotto, Carlo Vallati

2022-07-29: submitted by Alessandro Renda, metadata incl. bibliographic data published under Creative Commons CC0
2022-08-17: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|