FAST Project: Demo of Lower Latency and Hardware Control Interface

FAST Project is an ANR project involving Insa-Lyon (CITI), Grame-CNCM, Central Lyon.

This project aims to:

  • making an FPGA-based platform for real-time audio DSP
  • Make this platforme accessible and easy to program through the Faust programming language
  • Target high performance and ultra-low audio latency
  • Make it easily contrallable
  • Use it to do crazy stuff such as room acoustics control

Here’s a short demo video of what Citizens from the Emeraude team have done in the project:

PhD Defence: “Applications of Deep Learning to the Design of Enhanced Wireless Communication Systems”, Mathieu Goutay, Showcase room, Chappe Building, 28th of January 2022 at 2:00 PM

This thesis has been done within Nokia Bell Labs France and the Maracas team of the CITI laboratory.

The defense willtake place on Friday, January 28 at 2:00 pm, in the showcase room of the Telecommunications Department (first floor), INSA Lyon, Villeurbanne.

The presentation will be available on Zoom at the following link:



Applications of Deep Learning to the Design of Enhanced Wireless Communication Systems




Innovation in the physical layer of communication systems has traditionally been achieved

by breaking down the transceivers into sets of processing blocks, each optimized independently based on mathematical models. This approach is now challenged by the ever-growing demand for wireless connectivity and the increasingly diverse set of devices and use-cases. Conversely, deep learning (DL)-based systems are able to handle increasingly complex tasks for which no tractable models are available. By learning from the data, these systems could be trained to embrace the undesired effects of practical hardware and channels instead of trying to cancel them. This thesis aims at comparing different approaches to unlock the full potential of DL in the physical layer.

First, we describe a neural network (NN)-based block strategy, where an NN is optimized to replace one or multiple block(s) in a communication system. We apply this strategy to introduce a multi-user multiple-input multiple-output (MU-MIMO) detector that builds on top of an existing DL-based architecture. The key motivation is to replace the need for retraining on each new channel realization by a hypernetwork that generates optimized sets of parameters for the underlying DL detector. Second, we detail an end-to-end strategy, in which the transmitter and receiver are modeled as NNs that are jointly trained to maximize an achievable information rate. This approach allows for deeper optimizations, as illustrated with the design of waveforms that achieve high throughputs while satisfying peak-to-average power ratio (PAPR) and adjacent channel leakage ratio (ACLR) constraints. Lastly, we propose a hybrid strategy, where multiple DL components are inserted into a traditional architecture but trained to optimize the end-to-end performance. To demonstrate its benefits, we propose a DL-enhanced MU-MIMO receiver that both enable lower bit error rates (BERs) compared to a conventional receiver and remains scalable to any number of users.

Each approach has its own strengths and shortcomings. While the first one is the easiest to implement, its individual block optimization does not ensure the overall system optimality. On the other hand, systems designed with the second approach are computationally complex and do not comply with current standards, but allow the emergence of new opportunities such as high-dimensional constellations and pilotless transmissions. Finally, even if the block-based architecture of the third approach prevents deeper optimizations, the combined flexibility and end-to-end performance gains motivate its use for short-term practical implementations.




    • Reviewer: Didier LE RUYET, Professor, CNAM, Paris, France
    • Reviewer: Charlotte LANGLAIS, Permanent Research Staff, IMT Atlantique, Brest, France
    • Examiner: Inbar FIJALKOW, Professor, ENSEA, Cergy, France
    • Examiner: Stephan TEN BRINK, Professor, University of Stuttgart, Stuttgart, Allemagne
    • Thesis supervisor: Jean-Marie GORCE, Professor, INSA Lyon, Villeurbanne, France
    • Thesis co-supervisor: Jakob HOYDIS, Principal Research Scientist, Nvidia, France*
    • Thesis co-supervisor Fayçal AIT AOUDIA, Senior Research Scientist, Nvidia, France*

* Previously at Nokia Bell Labs France

CITI seminar – Frédéric Prost (UGA) – 27/01 at 14:00

Title: Projet Samildanach – Communication Scientifique dans une Culture Digitale

Date and Place: January 27th 14h, Amphi Chappe

Lien visio :

Speaker: Dr. Frédéric Prost (UGA)



L’objectif de ce séminaire est de présenter un projet relatif à la communication scientifique. L’idée est d’utiliser plusieurs technologies récentes comme la blockchain, les tables de hachage décentralisées ainsi que les calculs de réputation issus des réseaux sociaux pour les appliquer au domaine de la publication scientifique. La blockchain est utilisée pour certifier,présenter une résistance à la censure, assurer la non répudiation et une structure d’incitations pour le  développement du réseau (rémunération des acteurs qui aident le réseau).   Ce projet est intrinsèquement multi-disciplinaire et au croisement de nombreuses technologies et domaines de l’informatique.


Frédéric Prost est MdC à l’université Grenoble Alpes et au laboratoire LIG. Il a  principalement travaillé dans la théorie des langages de programmation (réécriture de graphes, sémantique des langages d’interrogation des BD graphes) et les problématiques de confidentialité (analyse de non interférence, anonymisation de bases de données graphe).




PhD Defence: “On the Performance of Spatial Modulation and Full Duplex Radio Architectures”, Yanni Zhou, Amphitheater, CITI, 10th of December 2021 at 10:00 PM

The defense will be held in the Amphitheater, Claude Chappe, and will be streamed live here.



On the Performance of Spatial Modulation and Full Duplex Radio Architectures




Index modulation techniques have exhibited great potential in the scenarios foreseen in next-generation wireless networks. Applying in the spatial domain, spatial modulation (SM) as a single radio-frequency (RF) multiple-input–multiple-output (MIMO) solution has attracted wide attention. The SM system has only one transmitting antenna activated for each time slot which results in low system complexity and cost. It exploits the index of the transmitting antennas to convey additional information bits.

To analyze the SM performance, a simulated framework over the time-varying Rician fading channel is built with ADS and Matlab software and a channel state information (CSI) detector is highlighted. The simulation results are verified by the experimental implementation based on the National Instruments (NI) PXI chassis hardware and LabVIEW programming environment. In the practical analysis, two models of the propagation environments are considered, where a channel sounding method is employed in order to extract the channel coefficients.

Despite issues on system complexity and cost, a shortage of spectrum resources can also restrict the development of mobile communications technology. Full duplex (FD) communications have been developed to double the radio link data rate and spectral efficiency through simultaneous and bidirectional communication. The main challenge of FD systems is self-interference (SI), which is caused by the coupling of the transmitting antenna with the receiving one. The combination of FD and SM will not only maintain spectral efficiency but also decrease the complexity of the self-interference cancellation (SIC) because of the single RF chain.

Based on these, a full duplex spatial modulation (FDSM) system is proposed as well as the SIC method. Moreover, the impact of SIC accuracy on the system performance is studied. We focus on the FDSM system imperfections including IQ imbalance, phase noise, power amplifier (PA) nonlinearities and RF switch nonidealities. The bit error rate (BER) performance under different scenarios with these imperfections is analyzed, along with the estimation and cancellation method.




  • Marco Di Renzo, Research Director at CNRS, Reviewer
  • Matthieu Crussière, Professor at INSA-Rennes, Reviewer
  • Christelle Aupetit-Berthelemot, Professor at Université de Limoges, Examiner
  • Taneli Riihonen, Associate Professor at Tampere University, Examiner
  • Jean-Marie Gorce, Professor at INSA-Lyon, Examiner
  • Dinh-Thuy Phan-Huy, Engineer at Orange Lab, Examiner
  • Guillaume Villemaud, Associate Professeur at INSA-Lyon, Thesis director
  • Florin-Doru Hutu, Associate Professor at INSA-Lyon, Co-director

CITI seminar – Raul De Lacerda (CentraleSupélec) – 2/12 at 14:20

Title: L’observabilité du spectre radio et ses opportunités

Date and Place: December 2nd 14h20, salle Vitrine (CITI Lab, INSA-Lyon, Batiment Claude Chappe), 6 avenue des arts, 69621 Villeurbanne

Speaker: Dr.Raul De Lacerda (CentraleSupélec)



Depuis l’apparition des télécommunications, des stratégies d’organisation du spectre radio a été mis en place pour permettre les différentes technologies à cohabiter/coexister. Le rôle de l’Union Internationale des Télécommunications (UIT) a évolué au long des décennies et elle a accompagné les évolutions qui ont dû se mettre en place pour répondre aux besoins du monde connecté. Malheureusement, le spectre radio est devenu une ressource rare dont la nouvelle révolution s’appuiera sur le développement de nouveaux services et des nouvelles technologies qui puissent se développer sans nécessairement remettre en question le plan de répartition des bandes de fréquence. Nous nous concentrons dans cette présentation sur les ambitions et résultats de projets que nous développons au sein du L2S. Le premier, qui s’inscrit dans le cadre d’un FUI en coordination avec Télécom Paris, Thales et ERTE Bowen, nous présentons une solution de détection des objets volants (ovnis) à partir des ondes 4G. Le deuxième, concerne l’amélioration des techniques de localisation indoor par empreinte numérique des balises wifi. Le dernier, s’inscrit dans l’ambition d’intégrer des techniques de Machine Learning pour extraire des informations sur le spectre radio.




CITI seminar – Alexandre Guitton (Université Clermont Auvergne) – 22/11 at 10:30

Title: Présentation de travaux passés sur les boucles de routage et la couche MAC LoRaWAN, et de projets sur LoRa

Date and Place: November 22th 10h30, Amphi Chappe (CITI Lab, INSA-Lyon, Batiment Claude Chappe), 6 avenue des arts, 69621 Villeurbanne

Speaker: Dr. Alexandre Guitton (Université Clermont Auvergne)



Alexandre va être accueilli en délégation dans l’équipe AGORA du laboratoire CITI pour l’année 2021-2022. Dans cet exposé, il va présenter ses travaux passés les plus significatifs, et son projet de travaux pour la délégation.
1/ J’ai travaillé sur les boucles de routage qui se produisent lorsque deux protocoles de routage sont utilisés simultanément dans un réseau. Cette situation peut se produire dans plusieurs situations : si le protocole de routage est mis à jour (de manière désynchronisée), si le protocole de routage dépend de la priorité des paquets, si deux protocoles de routage sont utilisés sur deux time-slots différents, etc. Les propositions qui seront présentées permettent de garantir une transition rapide sans boucle.
2/ J’ai aussi travaillé sur la récupération de signaux LoRa qui sont en collision, en faisant l’hypothèse que leur puissance de réception est proche. Pour cela, j’utilise des informations temporelles liées à l’écart des instants de transmission entre les trames, et d’autres liées à la modulation LoRa.



Alexandre Guitton est professeur en informatique à l’Isima (école interne de Clermont Auvergne INP, établissement composante de l’Université Clermont Auvergne). Il effectue sa recherche au LIMOS (UMR CNRS). Il est spécialisé dans le domaine des réseaux sans fil et de l’intérêt des objets, et travaille plus précisément sur la conception de protocoles d’accès au médium pour la surveillance (généralement environnementale) par des réseaux de capteurs sans fil. Récemment, il s’est concentré sur la technologie LoRa et cherche à trouver des algorithmes efficaces permettant de récupérer des messages qui entrent en collision.


CITI seminar – Valeria Loscri (Inria) – 25/11 at 14:00

Title: Software Defined Approaches for Non-Conventional Wireless Communication Paradigms

Date and Place: November 25th 14h00, room TBA (CITI Lab, INSA-Lyon, Batiment Claude Chappe), 6 avenue des arts, 69621 Villeurbanne

Speaker: Dr. Valeria Loscri (Inria)



The increasing demand of high data rate, bandwidth, low latency in wireless communication systems, imposes the urgence to investigate on new communication paradigms.
New communication technologies should be integrated in communication systems to make them as much flexible as possible and capable to dynamically reacting to external conditions based on the status of each node. Based on these considerations, in this talk two main concepts will be discussed: 1) wireless systems based on Software Defined (SD) approaches and 2) non-conventional communication paradigms. The synergic combination of these two concepts seems to have a great potential for responding to the demand of new communication services. The non-conventional wireless communication paradigms as Visible Light Communication (VLC) and the integration of Reconfigurable Intelligent (Meta)Surface in the wireless systems, allow to extend the range of wireless systems and to meet the urgence of Sustainable ICT. The SD approach may provide a sufficient degree of flexibility and adaptivity for making the coexistence of non-conventional wireless solutions with the traditional wireless approaches very smooth.



Valeria Loscri is a permanent research scientist at Inria Lille – Nord Europe since October 2013. From December 2006 to September 2013, she was research fellow in the TITAN Lab at the University of Calabria, Italy. She received her M.Sc. and Ph.D degrees in computer science in 2003 and 2007, respectively, from the University of Calabria and her HDR (Habilitation à diriger des recherches) in 2018 from the Université de Lille (France). Her prominent research interests focus on emerging technologies for new communication paradigms such as Visible Light Communication (VLC), reconfigurable Intelligent (Meta)Surfaces (RIM) based systems and cyber security in wireless communication systems. She has been involved in several European Projects (H2020 CyberSANE, FP7 EU VITAL) and national projects. She is on the editorial board of IEEE COMST, Elsevier ComNet, ComCom, JNCA, IEEE Transaction on NanoBioscience. Since 2019, she is Scientific International Delegate for Inria Lille – Nord Europe.


CITI seminar – Mohamed Maouche (Inria) – 17/11 at 14:00

Title: Recent Approaches of Speaker Anonymization Techniques

Date and Place: November 17th 14h00, Citi (room TBD) + visio

Speaker: Dr. Mohamed Maouche (Postdoc Inria)



An increasing number of smart devices embed speech-commands. The usage of speech offers simplicity, accessibility and it also opens new human-computer interactions. However, the gathering and exploitation of this type of data raise many privacy threats as speech data is sensitive in nature. Personal information about the speaker can be inferred (e.g., gender, emotion…). In addition, speech is a biometric characteristic, it can be used to identify speakers. To address this issue anonymization techniques have been proposed. In this talk, we are going to present the recent approaches for speech anonymization techniques with a focus on x-vector based anonymization.



Starting October 2021, I’m a post-doc in Privatics (Inria) at Lyon working on privacy in Federated Learning in the Chaire DSVD supported by Renault and Labex IMU. Previously, I was a post-doc with Magnet (Inria) at Lille for two years, working on speech privacy. Before, I have received my Ph.D. in 2019 from Insa Lyon which I did under the supervision of Sara Bouchenak and Sonia Ben Mokhtar in Liris Lab working on Location Privacy. My main interest throughout my research is the re-identification and anonymization problem, especially while facing peculiar data.



CITI seminar – Miriam Kolar (Stanford University) – 16/11 at 14:00

Title: Human Centered Archaeoacoustics

Date and Place: November 16th 14h00-16h00, Amphi Chappe (CITI Lab, INSA-Lyon, Batiment Claude Chappe), 6 avenue des arts, 69621 Villeurbanne

Speaker: Dr. Miriam Kolar (Adjunct professor at Stanford University)



Despite over 125 years of modern room acoustics, spatial acoustics has only recently been applied in archaeological research. Likewise, musical instrument acoustics remains a growing but infrequent archaeometric approach. Auditory science is even less frequently incorporated. Since 2008, Miriam Kolar has led archaeoacoustics fieldwork and instrument performance studies at the 3,000-year-old UNESCO World Heritage Centre archaeological complex Chavín de Huántar, Perú, with a second Andean project about sound as an Inca administrative tool. In this presentation, Dr. Kolar will share case-study examples from her work in developing methodologies for “human-centered” archaeometric research, relating acoustics to human experience and social behavior in ancient contexts. Acoustical and psychoacoustical experiments in archaeological settings and with artifact sound-producing instruments enable data-driven reconstructions of heritage sites and instruments in use. Physics-based evaluations of human sensory perspectives support the ecological validity of heritage acoustics, opening a new technological frontier for cultural heritage research, preservation, and knowle.



Miriam A. Kolar, M.F.A., Ph.D., is an Adjunct Professor at the Center for Computer Research in Music and Acoustics (CCRMA) at Stanford University and a Visiting Professor at Amherst College (USA). She studies human-sonic interrelationships across time and geography, applying acoustical and auditory perceptual science methodologies within an anthropological framework. Principal investigator of the integrative archaeoacoustics project at the 3,000-year-old Andean ceremonial site and UNESCO World Heritage Centre Chavín de Huántar, Peru, Dr. Kolar collaborates on novel applications of digital technologies for cultural heritage research and engagement. Her cultural acoustics research ( leverages cross-disciplinary theories and tools to understand sonic experiential aspects of past and present life. In current work, and as co-organizer of the NEH-supported Digital Aural Heritage project (, she explores the potential of auralizations for scholarship and public interfacing. Topics of interest include contextual knowledge representation, information ethics, and ecological validity.

This talk is organized in the context of the creation of the Emeraude team which is a collaboration between the Grame institute and Citi-lab at Insa-Lyon (


PhD Defence: “Privacy in learning systems for healthcare”, Théo Jourdan, Amphitheater, Library UCBL, 29th of October 2021 at 9:00 PM

The defense will be held in the Amphitheater, Chappe Library UCBL, and will be streamed live here.



Privacy in learning systems for healthcare




With the development of the Internet of Things (IoT), smartphones and sensors are now able to provide information about the user’s activity and even their physiology. This has led to a growing interest from the scientific community, particularly in the field of e-health, with applications in the monitoring of patients undergoing rehabilitation in order to offer more personalized follow-up. However, in addition to guiding the rehabilitation process, the generation and transmission of IoT data is also vulnerable to privacy breaches. Indeed, the complex processing chain of the IoT application in healthcare multiplies the risk of privacy threats throughout the life cycle of IoT data, including collection, transmission and storage, by an adversary who can retrieve the data and re-identify or reveal sensitive patient information. This thesis focuses on the following questions: Is the data collected sufficiently protected so that no one can misuse it to re-identify the owner or infer sensitive information? Is the protected data still accurate enough for healthcare applications such as rehabilitation? Achieving balance between data utility and privacy protection is an important challenge that we explore in this thesis from different angles. More specifically, the first part focuses on the problem of data anonymization through minimization, while the second part focuses on preventing the inference of sensitive attributes through a Generative Adversarial Networks (GAN) to sanitize sensor data and an approach exploiting private layers in Federated Learning (FL).




  • Fossati, Caroline Professeure des Universités, Institut Fresnel Rapporteure
  • Vincent, Emmanuel Directeur de Recherche, INRIA Nancy Rapporteur
  • Bellet, Aurélien Chargé de Recherche, INRIA Lille Examinateur
  • Ben Mokhtar, Sonia Directrice de Recherche, LIRIS Examinatrice
  • Dieterlen, Alain Professeur des Universités, IRIMAS Examinateur
  • Frindel, Carole Maître de Conférences, INSA Lyon Co-directrice de thèse
  • Boutet, Antoine Maître de Conférences, INSA Lyon Co-directeur de thèse