6G Wireless
Foundations Forum 2023
July
2023, Monday 10th-Tuesday 11th
@
EURECOM SophiaTech campus
Campus SophiaTech, 450 Route des Chappes,
06410 Biot Sophia Antipolis, France
Sunday
9th - DAY 0 |
|||
6 pm |
Welcome
reception (Hotel Moxy Sophia Antipolis) |
||
Monday
10th- DAY 1 |
|||
Time |
Name/Affiliation |
Theme |
Talk
Title |
8:15-8:30
am |
Conference Chairs |
|
Welcome address |
8:30-9:15
am |
KEYNOTE 1 Osvaldo Simeone (King’s
College London) |
|
How To Know When You Don’t Know: AI for
Engineering and 6G |
9:15-9:40
am |
Talk 1 Volker Ziegler (Nokia Bell Labs) |
6G killer apps |
Path to Metaverse ready networks and 6G |
9:40-10:05
am |
Talk
2 Antti Tölli (University of Oulu) |
6G
killer apps |
Enhancing Extended Reality Experience with
Location-Dependent Multiantenna Coded Caching |
10:05-10:35
am |
Coffee break and Poster Session |
||
10:35-11:00
am |
Talk
3 Marco di Renzo (University Paris-Saclay – CNRS and CentraleSupelec) |
Future
antenna systems |
Spatial Multiplexing in Near Field MIMO
Channels with Reconfigurable Intelligent Surfaces |
11:00-11:25 am |
Talk 4 Luca Sanguinetti (Pisa University) |
Future
antenna systems |
Multiuser Holographic MIMO systems: What is
the benefit of closely spaced antennas? |
11:25-11:50 pm |
Talk
5 Petros Elia (EURECOM) |
Future
antenna systems |
VoD Folding in Networks |
11:50-1:45
pm |
Lunch (Restaurant Le Golf) |
||
1:45-2:30
pm |
KEYNOTE 2 Stefan Parkvall
(Ericsson) |
|
6G – the intelligent
network platform of 2030 |
2:30-2:55
pm |
Talk
6 Carlo Fischione (KTH Royal Institute of Technology) |
AI
& 6G |
Computing Machine Learning and Other
Functions Over-the-Air Using Digital Modulations |
2:55-3:20
pm |
Talk 7 Xavier Costa-Pérez (ICREA) |
AI
& 6G |
AI-driven O-RAN for 6G Systems: A Match Made
in Heaven? |
3:20-3:50
pm |
Coffee break and Poster Session |
||
3:50-4:15
pm |
Talk
8 Ana Perez (Centre Tecnològic de Telecomunicacions de Catalunya) |
Non-Terrestrial
Networks |
The revolution of New Space towards next G
communication networks |
4:15-4:40 pm |
Talk
9 Björn Ottersten (University of Luxembourg) |
Non-Terrestrial
Networks |
Low-Earth Orbit
Satellite Constellations – A game-changer for global connectivity? |
5:30-8:15
pm |
Bus departure to Cannes harbor and boat
cruise to Nice restaurant |
||
8:15
pm |
Cocktail and banquet |
Tuesday
11th- DAY 2 |
|||
Time |
Name/Affiliation |
Theme |
Talk
Title |
9:00-9:45
am |
KEYNOTE 3 Mérouane Debbah
(Technology Innovation Institute) |
|
Large Language Models for
wireless: the next big thing? |
9:45-10:10
am |
Talk
10 David Gesbert (EURECOM) |
Connected
UAVs |
Robot-augmented data harvesting, sensing,
and localization for 6G networks |
10:10-10:35
am |
Talk 11 Giovanni Geraci (Telefonica Research and UPF
Barcelona) |
Connected
UAVs |
What will it take for wireless
communications to conquer the sky? |
10:35-11:20
am |
Coffee
break 3 |
||
11:20-11:55
am |
Talk 12 Aylin Yener (Ohio State University) |
Semantic
communications |
Semantic Text Classification for
6G and Beyond |
11:55
am-1:50 pm |
Lunch (Restaurant Le Golf) |
||
1:50-2:35
pm |
KEYNOTE 4 Jean-Claude
Belfiore (Huawei) |
|
6G needs a toposic view of
AI: languages, spaces of semantic information, equivariance, learning by
concepts and logic |
2:35-4:05
pm |
Panel: The environmental
sustainability of 6G |
Eric Hardouin (Orange), Philippe Ciblat
(Telecom Paris), Cristina Cano (Universitat
Oberta de Catalunya), Stefan Parkvall (Ericsson) |
|
4:05-4:25
pm |
Coffee break |
||
4:25-4:50
pm |
Talk
13 Henk Wymeersch (Chalmers
University of Technology) |
Localization
and sensing |
Radio Localization and Sensing towards 6G |
4:50-5:15
pm |
Talk
14 Stefano Buzzi (University of Cassino and Lazio Meridionale) |
Localization
and Sensing |
Integrated Sensing and Communications aided
by Reconfigurable Intelligent Surfaces |
5:45
pm |
Closing address |
DETAILED
TECHNICAL PROGRAM
Monday
10th- DAY 1
KEYNOTE 1: Osvaldo Simeone (King’s
College London)
Title: How To Know When You Don’t
Know: AI for Engineering and 6G
Abstract: In complex engineered systems, data-driven decision making must rely on
well-calibrated estimates of uncertainty to ensure safe and reliable operation.
An example is given by digital twin platforms for the optimization and
monitoring of 6G systems. However, conventional deep learning-based artificial
intelligence (AI) solutions tend to be poorly calibrated, often failing to
recognize when producing unreliable outputs. In this talk, I will argue that
designing well-calibrated AI for engineering requires the development and
implementation of new algorithmic frameworks that incorporate tools from
statistics and information theory, along with innovative uses of emerging
computing platforms that can efficiently control and represent randomness.
Examples of algorithmic and methodological advances will be given from recent
work by my group, encompassing Bayesian learning, conformal prediction,
neuromorphic computing, and quantum machine learning.
Bio: Osvaldo Simeone is a Professor of
Information Engineering with the Centre for Telecommunications Research at the
Department of Engineering of King's College London, where he directs the King's
Communications, Learning and Information Processing lab. He received an M.Sc.
degree (with honors) and a Ph.D. degree in information engineering from
Politecnico di Milano, Milan, Italy, in 2001 and 2005, respectively. From 2006
to 2017, he was a faculty member of the Electrical and Computer Engineering
(ECE) Department at New Jersey Institute of Technology (NJIT). His research
interests include information theory, machine learning, wireless
communications, neuromorphic computing, and quantum machine learning. Dr
Simeone is a co-recipient of the 2022 IEEE Communications Society Outstanding
Paper Award, the 2021 IEEE Vehicular Technology Society Jack Neubauer Memorial
Award, the 2019 IEEE Communication Society Best Tutorial Paper Award, the 2018
IEEE Signal Processing Best Paper Award, the 2017 JCN Best Paper Award, the 2015
IEEE Communication Society Best Tutorial Paper Award and of the Best Paper
Awards of IEEE SPAWC 2007 and IEEE WRECOM 2007. He was awarded an Open
Fellowship by the EPSRC in 2022 and a Consolidator grant by the European
Research Council (ERC) in 2016. Prof. Simeone is the author of the textbook
"Machine Learning for Engineers" published by Cambridge University
Press. He is a Fellow of the IET, EPSRC, and IEEE.
Talk 1: Volker Ziegler (Nokia Bell Labs)
Title: Path to Metaverse ready
networks and 6G
Abstract: The world of the 2030s will
be shaped by socio-economic, technology and user needs trends. These trends
will drive requirements for the networks of the future and create new
ecosystems. In this talk, a concise vision of the metaverse opportunities framed
by the concepts of digital-physical fusion and human augmentation will be
presented. The associated technology enablers will help unlock a myriad of new
opportunity for consumer, enterprise and industry metaverses alike. Next
generation networks and their advanced capabilities will be key to realize
these opportunities. A key prerequisite to make the variety of metaverse
related business model transformation options happen is Network-as-a- Service
(NaaS). On the path to 6G, 5G advanced will boost experience, operability and
usage of novel services. AI/ML technologies will help improve operability as
well as radio access network energy efficiency. To bring the metaverse future
to life fully, key technologies for 6G will be needed. Key 6G technologies will
include AI-native air interface, new spectrum technologies and extreme
connectivity, network-as-a-sensor, security, privacy and trust as well as
elements of architectural transformation. These key technologies will be needed
to fully deliver on the requirements of the most advanced use cases of the
metaverses of the future.
Talk 2: Antti Tölli (University of
Oulu)
Title: Enhancing Extended Reality
Experience with Location-Dependent Multiantenna Coded Caching
Abstract: The next evolutionary step in
human-computer interfaces will bring forward immersive digital experiences that
submerge users in a 3D world while allowing them to interact with virtual or
twin objects. Accordingly, various collaborative extended reality (XR)
applications are expected to emerge, imposing stringent performance
requirements on the underlying wireless connectivity infrastructure. In this
talk, we examine how novel multi-antenna coded caching (CC) techniques can
facilitate high-rate low-latency communications and improve users' quality of
experience (QoE) in the envisioned multi-user XR scenario. Specifically, we
discuss how the content relevant to wireless bottleneck areas can be
prioritized in cache placement while enabling the cumulative cache memory of
the users to be utilized as an additional communication resource. In this
regard, we first explore recent advancements in multi-antenna CC that
facilitate the efficient use of distributed in-device memory resources. Then,
we discuss how the envisioned XR scenario relates to the foreseen use cases
within the third-generation partnership project (3GPP) framework. Finally, we
identify new challenges arising from integrating CC techniques into multi-user
XR scenarios and propose novel solutions to address them in practice.
Talk 3: Marco Di Renzo (University
Paris-Saclay – CNRS and CentraleSupelec)
Title: Spatial Multiplexing in Near
Field MIMO Channels with Reconfigurable Intelligent Surfaces
Abstract: In this talk, we consider a
multiple-input multiple-output (MIMO) channel in the presence of a
reconfigurable intelligent surface (RIS). Specifically, our focus is on
analyzing the spatial multiplexing gains in line-of-sight and low-scattering
MIMO channels in the near field. We prove that the channel capacity is achieved
by diagonalizing the end-to-end transmitter-RIS-receiver channel, and applying
the water-filling power allocation to the ordered product of the singular
values of the transmitter-RIS and RIS-receiver channels. The obtained
capacity-achieving solution requires an RIS with a non-diagonal matrix of
reflection coefficients. Under the assumption of nearly-passive RIS, i.e., no
power amplification is needed at the RIS, the water-filling power allocation is
necessary only at the transmitter. We refer to this design of RIS as a linear,
nearly-passive, reconfigurable electromagnetic object (EMO). In addition, we
introduce a closed-form and low-complexity design for RIS, whose matrix of
reflection coefficients is diagonal with unit-modulus entries. The reflection
coefficients are given by the product of two focusing functions: one steering
the RIS-aided signal towards the mid-point of the MIMO transmitter and one
steering the RIS-aided signal towards the mid-point of the MIMO receiver. We
prove that this solution is exact in line-of-sight channels under the paraxial
setup. With the aid of extensive numerical simulations in line-of-sight
(free-space) channels, we show that the proposed approach offers performance
(rate and degrees of freedom) close to that obtained by numerically solving
non-convex optimization problems at a high computational complexity. Also, we
show that it provides performance close to that achieved by the EMO
(non-diagonal RIS) in most of the considered case studies.
Talk 4: Luca Sanguinetti (Pisa University)
Title: Multiuser Holographic MIMO
systems: What is the benefit of closely spaced antennas?
Abstract: Holographic MIMO refers to an
array with a massive number of antennas that are individually controlled and
densely deployed in a space-constrained factor form at the base station.
Understanding the fundamentals of Holographic MIMO communications requires to
take into account the mutual coupling that have been typically overlooked in
the vast majority of past and recent MIMO literature. This is particularly true
in the Massive MIMO literature, which is all about using physically large
arrays. The aim of this talk is to shed a light on the benefit (if any) of
closely spaced antennas in Holographic MIMO communications.
Talk 5: Petros Elia (EURECOM)
Title: VoD Folding in Networks
Abstract: In the setting of wireless
but also wired networks, we describe a basic software solution –- installed at
the VoD data source and the receiver-side caches -- that reduces the traffic
volumes by a factor of more than 3x, without any further compression, and with
no reduction in the QoS. The key principle is that properly cached data at the
receivers can dramatically boost the performance of multi-rank networks, which
includes modern wired as well as modern multi-user multiple input, multiple
output (MU-MIMO) wireless networks. We show how, under relatively realistic
assumptions, we can essentially fold data streams into much shorter streams,
thus substantially reducing the volumes of VoD data that we must communicate,
without altering a single bit consumed at any of the receiving nodes
(consumers).
KEYNOTE 2:
Stefan Parkvall (Ericsson)
Title: 6G – the intelligent network
platform of 2030
Abstract: The first release of 5G NR
have been successfully standardized by 3GPP and commercial networks are being
rolled out around the globe. 5G will continue to evolve for many years to come
with the recently completed releases 16 and 17 being the first steps and 5G
Advanced around the corner.
In parallel, the research community have begun initial
discussions on 6G and wireless communication in 2030 and beyond. At that point,
society will have been shaped by 5G for 10 years, and new needs and services
will have appeared. Even with the built-in flexibility of 5G, we are beginning
to see the horizon where further capabilities are needed.
In this talk we will discuss fundamental drivers,
possible use cases, basic capabilities, and potential key technologies for a future
6G system. Such a system will go beyond connectivity alone and will be a
trusted platform for communication and compute, encouraging innovation and
serving as the information backbone of society.
Bio: Stefan Parkvall is currently a Senior Expert at
Ericsson Research working with research on 6G and future radio access. He is
one of the key persons in the development of HSPA, LTE and NR radio access and
has been deeply involved in 3GPP standardization for many years. Dr Parkvall is
a fellow of the IEEE, served as an IEEE Distinguished lecturer 2011-2012, and
is co-author of several popular books such as “3G Evolution – HSPA and LTE for
Mobile Broadband”, “4G – LTE/LTE-Advanced for Mobile Broadband”, “4G, LTE
Advanced Pro and the Road to 5G”, and “5G NR – The Next Generation Wireless
Access”. He has more than 1500 patents in the area of mobile communication. In
2005, he received the Ericsson "Inventor of the Year" award, in 2009
the Swedish government’s Major Technical Award for his contributions to the success
of HSPA, and in 2014 he and colleagues at Ericsson was one of three finalists
for the European Inventor Award, the most prestigious inventor award in Europe,
for their contributions to LTE. Dr Parkvall received the Ph.D. degree in
electrical engineering from the Royal Institute of Technology in 1996. His
previous positions include assistant professor in communication theory at the
Royal Institute of Technology, Stockholm, Sweden, and a visiting researcher at
University of California, San Diego, USA.
Talk 6: Carlo Fischione (KTH Royal
Institute of Technology)
Title: Computing Machine Learning
and Other Functions Over-the-Air Using Digital Modulations
Abstract: In the recent years, the
need of running machine learning (ML) services such as Federated Learning (FL)
over wireless communication networks has promoted the design of new wireless
communication protocols capable to efficiently support such ML services. In
fact, in wireless networks, ML services face major challenges in terms of
computation, bandwidth, scalability, privacy, and security. One proposal to
overcome such challenges is Over-the-air computation (AirComp), which is a
known technique where wireless devices transmit values by analog amplitude
modulation so that a function of these values (e.g., FL gradient aggregation)
is computed over the communication channel at a common receiver. AirComp would
dramatically reduce communication energy use, amplify spectrum efficiency of
several order of magnitudes, and achieve privacy protections. The physical
reason is the superposition properties of the electromagnetic waves, which
naturally return sums of analog values. Consequently, the applications of
AirComp are almost entirely restricted to analog communication systems.
However, the use of digital communications for over-the-air computations would
have several benefits, such as error correction, synchronization, acquisition
of channel state information, and easier adoption by current digital
communication systems. Nevertheless, a common belief is that digital
modulations are generally unfeasible for computation tasks because the
overlapping of digitally modulated signals returns, in general, meaningless
values. In this talk, wewill present a fundamentally new computing method,
named ChannelComp, for performing over-the-air computations by any digital
modulation. We will show how digital modulation formats allow us to compute a
wider class of functions than AirComp can compute, and we propose a feasibility
optimization problem that ascertains the optimal digital modulation for
computing functions over the-air. We show by simulation the superior
performance of ChannelComp in comparison to AirComp.
Talk 7: Xavier Costa-Pérez (ICREA)
Title: AI-driven O-RAN for 6G Systems:
A Match Made in Heaven?
Abstract: While 5G is rolled-out, 6G is
being defined with a focus on connecting intelligent systems. In parallel to
this, Open Radio Access Networks (O-RAN) emerged as a new network
disaggregation paradigm that considers leveraging AI agents for automation and
optimization by design. In this talk we will review the O-RAN developments expected to shape future
6G-enabled systems. Several topics will be covered comprising: AI-driven automation
for cost-efficiency, smart surfaces and integrated sensing and communications.
Early research results will be presented on these topics along with major joint
academia-industry efforts.
Talk 8: Ana Perez (Centre Tecnològic
de Telecomunicacions de Catalunya)
Title: The revolution of New Space
towards next G communication networks
Abstract: We imagine the future
communication networks as 3-Dimensional, fully integrating the terrestrial and
the satellite infrastructure, so that communication services can be everywhere
and anytime available. We are most familiar with terrestrial radio
communications, but what about satellite communications? They are currently
experiencing the New Space revolution. This talk will explain what does this
revolution really mean. It's goal is a democratization of space that suggests
that access to launch, manufacturing of satellites, and/or leveraging Low-Earth
Orbit (LEO) connectivity to deliver data transmission capability to remote
locations is widely available because these services are commoditized and affordable,
enabling them to be equitably distributed to diverse user groups, rich and poor
alike. The reality, however, is that the delivery of space-based value-added
services to remote locations around the world will require groundbreaking
innovations. This talk will introduce a number of key technologies powering the
New Space age and the integration with the terrestrial segment: i) advances in
signal processing and computing on board satellites to enable edge in space,
ii) the emergence of commoditised, high bandwidth optical Inter Satellite Links
(ISL) that enable joint communication and computing, and iii) advances in
antenna technology. The talk will pay special attention to this latter
detailing the innovative possibilities that mega-constellations and swarm
satellite offer for distributed spatial processing.
Talk 9: Björn Ottersten (KTH Royal
Institute of Technology)
Title: Low-Earth Orbit Satellite Constellations – A
game-changer for global connectivity?
Abstract:
The satellite communications
sector is experiencing an unprecedented revolution pushed by the popularity of
low-Earth orbit (LEO) satellite constellations for satellite Internet access.
Satellite communication networks are evolving to become an integral part of
terrestrial networks. With this integration comes the promise of wireless
services to remote underserved areas and also backup connectivity in the
presence of network failures or disaster events. We discuss broad trends that
are changing the design of satellite communication networks fundamentally. Specifically, signal processing advances will
be addressed with focus on multi-antenna transmit precoding techniques to
improve coverage and spectral/energy efficiency, as well as link reliability
and security. Recent advances validating these technologies over satellite and
bringing them closer exploitation will also be presented.
Tuesday 11th- DAY 2
KEYNOTE 3:
Jean-Claude Belfiore (Huawei)
Title: 6G needs a toposic view of AI:
languages, spaces of semantic information, equivariance, learning by concepts
and logic
Abstract: Compared to humans and
animals, “intelligent” machines are very slow to learn, require a large amount
of data, do not understand what they are doing, make stupid mistakes, do not
reason have no common sense. Moreover, how can we standardize techniques that
give no guarantee, that cannot even be represented in a compact way. Energy
consumption is also a main issue. All these drawbacks are critical for 6G. Is
there a way to overcome them? All these issues are related to the absence of
semantics in nowadays machine learning. Is it possible, for a new architecture
of machine to learn as quickly as a baby? With very few data? To “understand”?
To reason? We aim at giving some answers to these questions by developing a
theoretical point of view and applying it to experiments to show the
effectiveness of our theory. This theory is based on a mathematical notion
proposed by Alexander Grothendieck in the 60’s, the notion of topos. I will
present how this notion helped us to develop a new theory of semantic
information, how a generalized notion of equivariance just corresponds, in the
right topos, to regular functions, how it is possible to learn by concepts and
approach the way a baby can learn and finally, how toposes are related to
logics. All these aspects will be presented both theoretically and
experimentally.
Bio: Jean-Claude Belfiore graduated from Ecole Supérieure
d'Electricité (Supelec), got his PhD from Telecom Paris and the Habilitation
from Université Pierre et Marie Curie (UPMC). Until 2015, he has been with
Telecom Paris as a full Professor in the Communications & Electronics
department. In 2015, he joined the Mathematical and Algorithmic Sciences Lab of
Huawei as the head of the Communication Science Department and now the Director
of Wireless Technology Lab, Paris. Jean-Claude Belfiore has made pioneering
contributions in modulation and coding for wireless systems (especially
space-time coding) by using tools of number theory. He is also one of the
co-inventors of the celebrated Golden Code of the Wi-Max standard. Jean-Claude
Belfiore is author or co-author of more than 200 technical papers and
communications and has served as an advisor for more than 30 Ph.D. students. He
was Associate Editor of the IEEE Transactions on Information Theory for Coding
Theory and has been the recipient of the 2007 Blondel Medal. In Huawei, he has
been involved in 5G standardization process, essentially in Channel Coding (Polar
Codes for 5G). He is now working in wireless 6G, on artificial reasoning and
future wireless networks for intelligent machines. Since July 2021 he is also
the director of the Huawei Advanced Wireless Technology Lab. in Paris.
Talk 10: David Gesbert (EURECOM)
Title: Robot-augmented data
harvesting, sensing, and localization for 6G networks
Abstract:
…
Talk 11: Giovanni Geraci (Telefonica
Research and UPF Barcelona)
Title: “What will it take for
wireless communications to conquer the sky?”
Abstract: UAVs, or drones, could drive
extraordinary societal transformations. Imagine a future where autonomous
delivery drones, flying taxis, and air ambulances soar through the skies,
taking mobility to new heights and redefining how we commute and where we live
and work. In this talk, we will discuss how wireless networks could help make
the fly-and-connect dream come true by shifting the current ground-focused
paradigm and providing ultra-reliable 3D aerial connectivity.
Talk 12: Petar Popovski (Aalborg University)
Title: On Goal-Oriented
Communications with Queries
Abstract: Communication-theoretic
models are commonly based on push-based communications, in which the sender decides
what and when is relevant for transmission. Differently from this, in
pull-based communications, the data receiver pulls data from the sender through
an appropriate query. The talk will introduce pull-based communication models
and discuss its relation to information freshness, establishing the measure
Query Age of Information (QAoI). Next, pull-based communication will be put in
the context of goal-oriented communication, in which multiple clients with
different, and potentially conflicting, objectives are pulling data from a set
of sensors. We capture the goal-oriented aspect through the metric of Value of
Information (VoI), which considers the estimation of the remote process as well
as the timing constraints. We define different summary statistics, i.e., value
functions of the state, for separate clients, and a diversified query process
on the client side, expressed through the fact that different applications may
request different functions of the process state at different times. It is
shown that, a query-aware Deep Reinforcement Learning (DRL) solution based on
statically defined VoI can outperform naive approaches by 15-20%.
Talk 13: Aylin Yener (Ohio State
University)
Title: Semantic Text
Classification for 6G and Beyond
Abstract: We study semantic compression for text where meanings
contained in the text are conveyed to a source decoder, e.g., for
classification. The main motivator to move to such an approach of
recovering the meaning without requiring exact reconstruction is the potential
resource savings, both in storage and in conveying the information to another
node. Towards this end, we propose semantic quantization and
compression approaches for text where we utilize sentence embeddings and the
semantic distortion metric to preserve the meaning. Our results demonstrate
that the proposed semantic approaches result in substantial (orders of
magnitude) savings in the required number of bits for message representation at
the expense of very modest accuracy loss compared to the semantic agnostic
baseline. We further provide results over wireless channels. We observe
generalizability of the proposed methodology which produces excellent results
on many benchmark text classification datasets with a diverse array of
contexts.
KEYNOTE 4: Mérouane Debbah (Technology Innovation Institute)
Title: Large Language Models for
wireless: the next big thing?
Abstract: Large Language Models (LLMs)
have shown remarkable success in natural language processing (NLP) tasks, such
as language translation, text summarization, and sentiment analysis. They can
also help in identifying network faults, improving network security, and
facilitating spectrum sharing. LLM-based solutions can be trained on
large-scale datasets to capture the heterogeneity and diversity of wireless
networks. These models can be deployed on resource-limited devices, such as
smartphones, to provide intelligent wireless services. Based on our recent
announcement of FALCON LLM in march 2023
(https://www.itp.net/emergent-tech/uae-owned-ai-language-model-outperforms-chatgpt3),
which is a foundational large language model (LLM) with 40 billion parameters,
outperforming GPT 3, developed by the AI and Digital Science Research Center at
TII, we will discuss our recent progress on LLM features and the potential of
FALCON LLM in enabling intelligent wireless communication systems.
Bio: Mérouane Debbah is Chief
Researcher at the Technology Innovation Institute in Abu Dhabi. He is a
Professor at Centralesupelec (France) and an Adjunct Professor with the
Department of Machine Learning at the Mohamed Bin Zayed University of
Artificial Intelligence in Abu Dhabi. He received the M.Sc. and Ph.D. degrees
from the Ecole Normale Supérieure Paris-Saclay, France. He was with Motorola
Labs, Saclay, France, from 1999 to 2002, and then with the Vienna Research
Center for Telecommunications, Vienna, Austria, until 2003. From 2003 to 2007,
he was an Assistant Professor with the Mobile Communications Department,
Institut Eurecom, Sophia Antipolis, France. In 2007, he was appointed Full
Professor at CentraleSupelec, Gif-sur-Yvette, France. From 2007 to 2014, he was
the Director of the Alcatel-Lucent Chair on Flexible Radio. From 2014 to 2021, he
was Vice-President of the Huawei France Research Center. He was jointly the
director of the Mathematical and Algorithmic Sciences Lab as well as the
director of the Lagrange Mathematical and Computing Research Center. Since
2021, he is leading the AI & Digital Science Research centers at the
Technology Innovation Institute. He has managed 8 EU projects and more than 24
national and international projects. His research interests lie in fundamental
mathematics, algorithms, statistics, information, and communication sciences
research. He holds more than 40 patents. He is an IEEE Fellow, a WWRF Fellow, a
Eurasip Fellow, an AAIA Fellow, an Institut Louis Bachelier Fellow and a Membre
émérite SEE. He was a recipient of the ERC Grant MORE (Advanced Mathematical Tools
for Complex Network Engineering) from 2012 to 2017. He was a recipient of the
Mario Boella Award in 2005, the IEEE Glavieux Prize Award in 2011, the Qualcomm
Innovation Prize Award in 2012, the 2019 IEEE Radio Communications Committee
Technical Recognition Award and the 2020 SEE Blondel Medal. He received more
than 25 best paper awards, among which the 2007 IEEE GLOBECOM Best Paper Award,
the Wi-Opt 2009 Best Paper Award, the 2010 Newcom++ Best Paper Award, the WUN
CogCom Best Paper 2012 and 2013 Award, the 2014 WCNC Best Paper Award, the 2015
ICC Best Paper Award, the 2015 IEEE Communications Society Leonard G. Abraham
Prize, the 2015 IEEE Communications Society Fred W. Ellersick Prize, the 2016
IEEE Communications Society Best Tutorial Paper Award, the 2016 European
Wireless Best Paper Award, the 2017 Eurasip Best Paper Award, the 2018 IEEE
Marconi Prize Paper Award, the 2019 IEEE Communications Society Young Author
Best Paper Award, the 2021 Eurasip Best Paper Award, the 2021 IEEE Marconi
Prize Paper Award, the 2022 IEEE Communications Society Outstanding Paper
Award, the 2022 ICC Best paper Award, the 2022 IEEE GLOBECOM Best Paper Award,
2022 IEEE TAOS TC Best GCSN Paper Award, the 2022 IEEE International Conference
on Metaverse Best Paper Award as well as the Valuetools 2007, Valuetools 2008,
CrownCom 2009, Valuetools 2012, SAM 2014, and 2017 IEEE Sweden VT-COM-IT Joint
Chapter best student paper awards. He is an Associate Editor-in-Chief of the
journal Random Matrix: Theory and Applications. He was an Associate Area Editor
and Senior Area Editor of the IEEE TRANSACTIONS ON SIGNAL PROCESSING from 2011
to 2013 and from 2013 to 2014, respectively. From 2021 to 2022, he served as an
IEEE Signal Processing Society Distinguished Industry Speaker.
Talk 14: Henk Wymeersch (Chalmers University of Technology)
Title: Radio Localization and
Sensing towards 6G
Abstract: Increases in carrier
frequencies and bandwidths, driven by high-rate communication applications have
led to vastly improved capabilities for user positioning. With research
underway towards 6G, opportunities for integrating positioning and sensing into
the communication system have become even more apparent. The aim of this talk
is to provide an overview of this evolution, focusing on 5G and 6G. After a
brief introduction on the foundations of radio-based positioning and sensing,
we go deeper into 5G positioning, covering both the standard approaches, as
well as more forward-looking potential modifications. In the last part, we
consider 6G from the perspective of positioning and sensing, highlighting some
of the novel enablers, methods, potentials, but also the corresponding
challenges.
Talk 15: Stefano Buzzi (University of Cassino and Lazio
Meridionale)
Title: Integrated Sensing and
Communications aided by Reconfigurable Intelligent Surfaces
Abstract: When performing integrated
sensing and communications (ISAC) in high-frequency bands (mmWave and sub-THz),
path loss and blockages may prevent reliable operation. In such situations,
Reconfigurable Intelligent Surfaces (RISs) may be helpful to overcome blockages
and extend the operational range of the network infrastructure.
This talk will first provide an overview of the
application and benefits of RISs, for sensing applications in general, and for
ISAC systems in particular. The potential advantages coming from the
combination of RISs and ISAC strategies will be discussed, identifying a unique
gain of RIS-aided ISAC in terms of increased coupling between the dual
functionalities of communication and sensing. The impact of the RIS usage on
the energy efficiency of a RIS-aided ISAC system will be also discussed as a
specific case study. Finally, the main signal processing challenges and future
research directions which arise from the fusion of these emerging technologies
will be briefly discussed.