Announcement

The workshop on Realistic AI Usage in Networks addresses the challenges and constraints associated with implementationon and deployment of AI and ML methods in current and next generation networks (6G). Recent studies have unveiled that the actual deployment of AI/ML in networks offers only modest enhancements over classical means, while demanding excessive energy, data, time and other resources. Scholars recently started raising concerns related to difficulties in reproducing even those modest gains in a reliable manner. Finally, the non-deterministic nature of promised outcomes makes it hard to use AI-based methods in many situations.

In response to these justified doubts, this workshop aims to foster discussions among researchers to identify pragmatic approaches and potential solutions with/for AI/ML methods to fully leverage their potential in future networked environment such as 6G networks. The workshop will focus on key areas of concern, including model distribution, handling large models, real-time data acquisition, and decision-making processes. Participants will engage in sharing insighƞul research and experiences, seeking to lay the groundwork for a more responsible and sustainable integration of AI in network settings.

By promoting collaborative exchanges of knowledge, the workshop seeks to contribute to a deeper understanding of Realistic AI Usage in Networks, setting the stage for advancements that align AI technologies with the practical needs of users and operators in network environments.

Each session will have three speakers with 15min presentation and will be followed by 45min of discussion between the participants. Focus will be on the challenges we need to face ahead.

9:00 - 9:45	Welcome
Rui L Aguiar	Welcome and Introduction to the workshop
9:45 - 10:00	Break
10:00-11:00	AI assessment(s) Models for quantifying AI benefits. Costs of AI usage and training. Explainable and trustable AI. Privacy aspects
Mário Antunes	Best practices compliance of AI in telecom
Michele Rossi	On the use of machine learning in upcoming wireless networks: addressing the interplay among communication, computing and sensing systems
11:00 -11:15	Coffee Break
11:15-13:00	Achievements and limitations Where have we seen AI as really useful in telecom networks: areas of impact, tests, measures, trials highlighting those achievements and identifying limitations
Carles Anton	AI for an energy-efficient 6G radio interface: the story so far, and the long way ahead
Giuseppe Aceto	AI-based Internet Traffic Classification – practical research questions, hot topics and promising solutions
Beatriz Mendez	Realistic Usage of AI in 6G Networks: Overcoming Impairments with AI Enablers
Arifur Rahman	Enabling Intelligence in 6G Networks from Theory to Practice
13:00–14:15	Lunch
14:15-15:45	Network Data for AI Which data to use and how? How to acquire, process and validate the data. Relevance of the data, and open data for e.g. 6G
Ramin Khalili	Resource-aware Federated Learning
Flavio Cirillo	Network Digital Twin: data-centric approach for network management
Holger Claussen	Future Networks, AI Challenges, and 6G-XCEL
15:45 - 16:00	Coffee Break
16:00 - 17:00	Future impacts Implications for future architectures, most notably for 6G. Computing and transmission costs, and architectural challenges. AI plataforms.
Mohammad Sharifan	A telco view for AI (TBC)
Giada Landi	Challenges for automating AI/ML management in 6G networks
17:00 - 17:30	Global Group Assement

Organization is under the scope of Networld Europe (https://www.networldeurope.eu/) with the support of SNS OPS project (https://smart-networks.europa.eu/csa-s/#SNS-OPS), and the event will be adjacent to the Visions of Future Communication Summit (https://futurecomresearch.eu/).

Registration

Registration is Now Open! Register here

Venue

Dates: Monday, 6th November 2023

Holiday Inn Hotel , Lisbon, Portugal

Program Structure

6th November – AI Workshop

7th, 8th November – VFCS conference meeting ( VFCS2023 )

9th November – NetworldEurope Expert group and SB meeting

Other Nearby Hotels

Speakers

Speaker	Affiliation	Biography
Rui Aguiar	Universidade de Aveiro, Portugal	Rui L. Aguiar (Senior Member, IEEE) is currently a Full Professor with Universidade de Aveiro. He was the founder of the ATNOG Research Group, Advanced Telecommunication Research Group, Universidade de Aveiro. He is currently co-coordinating a research line with the Instituto de Telecomunicações, on the area of networks and services. He has been an Advisory for the Portuguese Secretaria de Estado das Comunicações and a member of the task force for 5G cybersecurity. He is a Chartered Engineer and a member of ACM. He has served as the Portugal Chapter Chair of IEEE Communications Society. He has been serving as the Steering Board Chair of Networld Europe, the European ETP representing the telecommunications community, engaged in the discussions of the future European research and development work program for telecommunications. As further community engagement, he has served as the Technical and General Co-Chair of several conferences (ICNS, ICT, ISCC, Mobiarch, Monami, and NTMS). He is a regular keynote speaker in the future of mobile communications and digital society, with dozens of talks across the whole world. He is an Associated Editor of Wiley’s Emerging Telecommunication Technologies and Springer’s Wireless Networks.
Mário Antunes	Universidade de Aveiro, Portugal	Mário Antunes serves as an Associate Professor at the University of Aveiro. In 2018, he successfully completed his doctoral program in computer science at MAPi, where he distinguished himself as a finalist in three prestigious international competitions: the ERCIM Cor Baayen Young Researcher Award 2019, the Altice International Innovation Award 2019, and the "Melhor Tese de Doutoramento em STI - 2019." His primary research interests revolve around Knowledge Extraction and Context Storage in IoT Scenarios, employing cutting-edge techniques such as Machine Learning and Big Data repositories.
Michele Rossi	University of Padova, Italy	Michele Rossi is the head of the Bachelor’s and Master's Degrees in ICT for Internet and Multimedia and full professor at the Department of Information Engineering of the University of Padova, Italy. From 2017 to 2023, he has been the Director of the DEI/IEEE Summer School of Information Engineering (SSIE), held yearly in Brixen, Italy. He is the coordinator of the GREENEDGE (no. 953775) ITN project on "green edge computing for mobile networks". His research interests are on wireless sensing and edge computing systems with a focus on green ICT technologies. For an updated list of publications, Holger see: https://www.dei.unipd.it/~rossi/
Carles Antón-Haro	Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)	Carles is with the CTTC as a Director of European Programs & Industrial Contracts, and a Research Director (R4, Advanced Research Accreditation AQU, Senior Member IEEE). He has promoted or coordinated over 80 R&D international projects and has been involved in selected projects as principal investigator (+10) and researcher. He is a Governing Board member of the SNS JU, as well as the 6G Industry Association (6G-IA). His research interests are in the field of signal processing for communications, including machine/deep learning for 6G. He has published over 140 technical papers in journals, books and int’l conferences (2 Best Paper Awards). He has supervised 6 PhD Theses. He is a member of the Scientific Advisory Board of the Internet Interdisciplinary Institute. He was General Chair in IEEE WCNC’18 and EUSIPCO’11. He is an Industry Liaison Officer of IEEE’s ETI on Machine Learning for Communications.
Giuseppe ACETO	University of Napoli Federico II	Giuseppe Aceto is Associate Professor at the University of Napoli Federico II. He has a PhD in telecommunication engineering from the same University, and conducted internships at NTT DoCoMo (Palo Alto, CA, USA) and Georgia Tech (Atlanta, GA, USA). His work falls in monitoring of network performance and security (focusing on censorship). His recent research focuses on advanced Deep Learning architectures for network traffic classification and prediction.
Beatriz Mendez	Ubiwhere	Founded in 2007, Ubiwhere is focused on Research, Development and Innovation of software-based solutions in the areas of Smart Cities, Telecom and Future Internet and New Technologies. We have the innate desire of changing the World. That's why we create, design and develop solutions that improve people's life. Day by day. our multi-skilled team works to bridge the existing gaps in the market.
Arifur Rahman	IS-Wireless	Md Arifur Rahman has been working as a Lead Researcher in IS-Wireless, Poland since 2019. He holds a PhD degree in Electrical Engineering from the University of Ulsan, South Korea in 2019. Before he join IS-Wireless, he has worked as a postdoctoral researcher at CentraleSupelec, Campus of Rennes, France and contributed in a ANR funded Enhanced Physical Layer for Cellular IoT (EPHYL) project and develop radio resource management algorithm for multi-cell NB-IoT network scenario. He was a co-supervisor of Master students in the area of cooperative relaying in NOMA techniques with 2 years of experience during his PhD degree. His current research interests include cell-free mMIMO, radio resource management of next-generation RAN, AI application in future 6G networks, and emerging technologies in wireless communications.
Ramin Khalili	Huawei Technologies, Munich Research Center	Ramin Khalili is a principal researcher at Huawei research center in Munich, Germany. Before joining Huawei, he was with the University of Massachusetts at Amherst, EPFL, and the Telekom Innovation Laboratories in Berlin. He has received his Ph.D. from Sorbonne University in 2005. Ramin has co-authored over Sixty scientific papers on topics related to wireless networking, optimization, and machine learning, receiving multiple best paper awards. His current work focuses on distributed and green (on-device) learning and on applying machine learning techniques to problems related to networking and wireless communications.
Flavio Cirillo	NEC Laboratories Europe	Dr. Flavio Cirillo is a Senior Research Scientist of the Data Ecosystem and Standard research team at NEC Laboratories Europe, Heidelberg, Germany. His research topics include data platforms and AI/ML techniques applied to Digital Twin. He has worked on many IoT related European research projects. He is currently involved in Network Digital Twin standardization activities such as FIWARE and Innovative Optical and Wireless Networks (IOWN) Global Forum. He has obtained a PhD in Information Technology at the University of Naples Federico II (Italy).
Holger Claussen	Tyndall National Institue, Ireland	Prof. Holger Claussen is Head of the Wireless Communications Laboratory at Tyndall National Institute, and Professor of Wireless Communications at University College Cork and Trinity College Dublin. At Tyndall, he is building up research teams in the area of RF, Access, Protocols, AI, and Quantum Systems to invent the future of Wireless Communication Networks. Previously he led the Wireless Communications Research Department of Nokia Bell Labs located in Ireland and the US until 2020. He received the 2014 World Technology Award in the individual category Communications Technologies for innovative work of “the greatest likely long-term significance” for his contribution to Small Cells. Holger received his Ph.D. degree in signal processing for digital communications from the University of Edinburgh, United Kingdom in 2004. He is author of the book "Small Cell Networks", more than 140 journal and conference publications, 87 granted patent families, and 38 filed patent applications pending. He is Fellow of the IEEE, Fellow of the World Technology Network, and member of the IET.
Mohammad Sharifan	Deutsche Telekom	Experienced Senior Enterprise & Data Architect in telecommunications, adept at shaping architecture and strategy in Data and OSS. Agile leader of large solution projects, fostering international architecture communities. Pioneer in establishing Data Mesh and a Data as a Product (DaaP) culture, promoting seamless data access and inter-organizational sharing.
Giada Landi	NextWorks	Giada Landi received the master degree in Telecommunication Engineering at the University of Pisa, Italy, in 2005. She's R&D technology leader in Nextworks, with a 15+ year experience in EU and ESA research projects and industrial consulting projects, focusing on 5G/6G networks, edge/cloud computing, and SDN/NFV architectures. She has been involved in ETSI MEC Specialist Task Forces and she's currently serving as Technical Manager in the H2020 VITAL-5G and ESA ARTES 5G-HOSTS-SAT projects.