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      <title-group>
        <article-title>Artificial Intelligence in beyond 5G and 6G Wireless Networks - Preface</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Alessandro Renda</string-name>
          <email>alessandro.renda@unipi.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff10">10</xref>
          <xref ref-type="aff" rid="aff11">11</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
          <xref ref-type="aff" rid="aff6">6</xref>
          <xref ref-type="aff" rid="aff7">7</xref>
          <xref ref-type="aff" rid="aff8">8</xref>
          <xref ref-type="aff" rid="aff9">9</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Pietro Ducange</string-name>
          <email>pietro.ducange@unipi.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff10">10</xref>
          <xref ref-type="aff" rid="aff11">11</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
          <xref ref-type="aff" rid="aff6">6</xref>
          <xref ref-type="aff" rid="aff7">7</xref>
          <xref ref-type="aff" rid="aff8">8</xref>
          <xref ref-type="aff" rid="aff9">9</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Tamas Borsos</string-name>
          <email>tamas.borsos@ericsson.com</email>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff10">10</xref>
          <xref ref-type="aff" rid="aff11">11</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
          <xref ref-type="aff" rid="aff6">6</xref>
          <xref ref-type="aff" rid="aff7">7</xref>
          <xref ref-type="aff" rid="aff8">8</xref>
          <xref ref-type="aff" rid="aff9">9</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Hannu Flinck</string-name>
          <email>hannu.flinck@nokia-bell-labs.com</email>
          <xref ref-type="aff" rid="aff10">10</xref>
          <xref ref-type="aff" rid="aff11">11</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
          <xref ref-type="aff" rid="aff6">6</xref>
          <xref ref-type="aff" rid="aff7">7</xref>
          <xref ref-type="aff" rid="aff8">8</xref>
          <xref ref-type="aff" rid="aff9">9</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Department of Information Engineering, University of Pisa</institution>
          ,
          <addr-line>Largo Lucio Lazzarino 1, 56122 Pisa</addr-line>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Ericsson Research</institution>
          ,
          <country country="HU">Hungary</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Nokia Bell Labs</institution>
          ,
          <addr-line>Espoo</addr-line>
          ,
          <country country="FI">Finland</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Alessandro Renda, University of Pisa</institution>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>Francesco Marcelloni, University of Pisa</institution>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff5">
          <label>5</label>
          <institution>Giada Landi</institution>
          ,
          <addr-line>Nextworks</addr-line>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff6">
          <label>6</label>
          <institution>Giovanni Nardini, University of Pisa</institution>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff7">
          <label>7</label>
          <institution>Ignacio Labrador</institution>
          ,
          <addr-line>ATOS</addr-line>
          ,
          <country country="ES">Spain</country>
        </aff>
        <aff id="aff8">
          <label>8</label>
          <institution>Luc Le Magoarou</institution>
          ,
          <addr-line>BCOM</addr-line>
          ,
          <country country="FR">France</country>
        </aff>
        <aff id="aff9">
          <label>9</label>
          <institution>Miltiadis Filippou</institution>
          ,
          <addr-line>Intel</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff10">
          <label>10</label>
          <institution>Premanand Rajatheva, University of OULU</institution>
          ,
          <country country="FI">Finland</country>
        </aff>
        <aff id="aff11">
          <label>11</label>
          <institution>Riccardo Pecori, University of Sannio</institution>
          ,
          <country country="IT">Italy</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>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 lfagship 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.</p>
      </abstract>
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      <title>-</title>
      <p>AI, featuring an ever-increasing number of intelligent edge devices connected over a flexible
platform.</p>
      <p>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.</p>
      <p>The topics of interest for the first edition revolved around the following areas, relevant to the
ifeld 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,
semantic 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.</p>
      <p>The papers presented at AI6G2022 ofer 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.</p>
      <p>• Andras Benczur, Institute for Computer Science and Control, Hungary
• Tamas Borsos, Ericsson, Hungary
• Panagiotis Demestichas, University of Piraeus, WINGS ICT Solutions, Greece</p>
      <p>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:
• “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).</p>
      <p>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).</p>
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