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 (KTH Royal Institute of
Technology) |
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 Jean-Claude Belfiore
(Huawei) |
|
6G
needs a toposic view of AI: languages, spaces of
semantic information, equivariance, learning by concepts and logic |
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 (Universitat Pompeu
Fabra) |
Connected
UAVs |
What will it take for wireless
communications to conquer the sky? |
10:35-11:05
am |
Coffee break 3 |
||
11:05-11:30
am |
Talk
12 Petar Popovski (Aalborg University) |
Semantic
communications |
On
Goal-Oriented Communications with Queries |
11:30-11:55
am |
Talk 13 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 Mérouane
Debbah (Technology Innovation Institute) |
|
Large Language Models for
wireless: the next big thing? |
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
14 Henk Wymeersch (Chalmers University of Technology) |
Localization
and sensing |
Radio Localization and Sensing towards 6G |
4:50-5:15
pm |
Talk
15 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 faces 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) s computed over the communication channel at a common receiver. AirComp would dramatically reduce communication energy use,
amplify spectrum efficiency of several order of magnitude, 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 signals that seem to be meaningless for these tasks.
In this talk, I will present a new computing method, named ChannelComp,
for performing over-the-air computations by any digital modulation. In
particular, we propose digital modulation formats that 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 (Universitat Pompeu Fabra)
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.