Socrate Scientific Objectives
The objective of Socrate project is to address the cutting edge
research and challenges of future wireless networks. According
to our vision, this necessarily goes through the software defined
radio technology. Being clearly identified within the french
National Institute for Research in Computer Science and Control
(Inria ), Socrate claims to be at the frontier of several
disciplines, such as signal processing and radio communications, radio
resource sharing and embedded programming. Hence, we wish to keep a
vertical competence domain, gathering in the same team the
scientists studying radio front-end design issues, communication
protocols, signal processing algorithms and embedded computer systems
programming issues. This approach explains the size of the team and is
a crucial point to enable cross-domain collaboration which is
traditionally difficult in France.
We expect to develop both theoretical and technological aspects
related to SDR but the common denominator will be that theoretical and
technological results will be validated experimentally (mostly
using the FIT platform) and will bring concrete answers to the
following questions:
- What will be radio system front-ends in next generation communication handhelds or embedded devices ?
- How the distributed signal processing algorithms will enhance performance and reduce the power consumption of communicating systems ?
- Which programming model will be used for these software radio communicating objects ?
The goal of Socrate is not to define the technologies that will be
used to build software radio systems, but to have a sufficiently
up-to-date knowledge of these technologies to propose innovative
solution to the research challenges mentionned above. The scientific
added value of Socrate will come from the collaboration between
technological (i.e. radio and waveform) scientists and embedded
software researchers. A deep knowledge of technological bottlenecks
will orient the research on software for SDR.
One of the strength of the Socrate team will lie in
experimental validation of its scientific results. Our recent
experience about wireless modeling or simulation shows that
reconfigurable radio systems performances (power consumption,
transmission quality, etc.) are very difficult to predict
analytically. The presence of numerous test-beds at Citi laboratory,
in particular the FIT platform, will give Socrate a unique
opportunity to adopt a solid scientific methodology: ``Model, simulate and experiment'' with a particular emphasis on experimental validation.
Socrate Team
The proposed project-team Socrate is built along two axis of Swing proposal (excepted the
networking related activities gathered in the Urbanet project proposal),
with a reinforcement in embedded software skills brought by the newcomers
Guillaume Salagnac and Kevin Marquet, previously members of the
Amazone project-team.
The team currently contains 7 permanent members, 4 non-permanent
members and 5 PhD students; at least three engineers are expected in
September in relation with the FIT platform. The objective within
two years is to reinforce the team by at least one Inria
researcher, one Insa research engineer to reach a permanent staff of 9 to 10 members.
Research Axes
In order to keep young researchers in an environment close to their
background, we have structured the team along the three research axis
related to the three main scientific domains spanned by Socrate .
However, we insist that a major objective of the Socrate team is to
motivate the collaborative research between these axis. Most of these
three research directions are already constituted as being axis of the
Swing project team. The first one is entitled ``Flexible Radio
Front-End'' and will study new radio front-end research challenges
brought up by the arrival of MIMO7technologies, and reconfigurable front-ends. The second one, entitled
``Agile Radio Resource Sharing'' will study how to couple the
self-adaptive and distributed signal processing algorithms to cope
with the multi-scale dynamics found in cognitive radio systems. The
last research axis, entitled ``Software Radio Programming Models'' is
dedicated to embedded software issues related to programming physical
protocols layer on these software radio machines.
Flexible Radio Front-End
Guillaume Villemaud (coordinator), Florin Hutu
To cope with terminal flexibility, the terminals' complexity is
constantly increasing with the multiplicity of radio interfaces on the
market. Currently, the wireless convergence at the application level
is possible only by superposing several radio interfaces within the
same terminal, i.e. several chips. This strategy is neither
cost-efficient, nor optimal from the compactness points of view, and
should be replaced as soon as possible by flexible radio front-end
technology.
Particularly, SDR offers new perspectives of changing the balance
between the analog and the digital parts of the transceivers. This
``radio'' research axis will study front-end specific issues, in
particular how several signals can be received and treated simultaneously for a
multi-frequency or multi-antenna operation. A
front-end prototype has been built in collaboration with Orange Labs and further
research directions are currently opened. For instance, new metrics
have to be used to evaluate the best tradeoff in terms of global performance/cost/consumption
estimation.
Another important question concerns the complexity of the analog part
itself regarding digital processing capabilities. High sampling rates
and high quality RF components ensure high performance, but it costs a
lot in term of energy consumption, therefore the concept of âdirty
radio" study how digital mitigation algorithm can compensate from a
cheaper system. Finally, the wake-up radio is a crucial technology for
SDR systems as radio sensing is one of the most important part of
a front-end energy consumption. Integrating a radio that wakes up only when a
signal is present is a very important challenge, for example in sensor
networks with sporadic communications.
The mathematical tools used for modeling in this axis are inherited
from the electronic and signal processing theory. The Agilent ADS tool
is used for simulation and in-house multi-standard radio front
prototypes are used for experimentation. The objective of this axis
is to study key scientific challenges of SDR front-end and, with the
help of well choosen industrial collaborations, to develop innovative
prototypes. In addition, this part of the team will maintain a
strong knowledge of radio front-end technology for SDR platforms.
Agile Radio Resource Sharing
Jean-Marie Gorce (coordinator), Claire Goursaud, Nikolai Lebedev (extern member in 2012)
To achieve a true self-adaptive behavior, a radio node should be able
to analyze its radio environment thanks to cognitive radio
capabilities and then decide which resource it can use without
impending the other users' performance. Therefore, interference
management is a key issue, which can be declined in interference
avoidance or interference cancellation. Centralized approaches can
provide strong performance by exploiting interference alignment
techniques, but they however suffer from the lack of adaptability and
strong algorithmic complexity. Promising approaches rather rely on
distributed algorithms where nodes take decisions on their own
knowledge, or with a light information sharing with neighbors.
This axis aims at studying distributed algorithms for resource sharing and cooperation. The recent network information theory paradigm is
well appropriate to study the bounds of multiple access, intefering or
relay channels Cooperative and distributed approaches offer new
perspectives to increase multi-node systems efficiency.
Current on-going work in this axis includes opportunistic radio
resource sharing in distributed wireless cellular networks, and
opportunistic relaying in Body Area Networks (BANs). Tight links with
Alcatel (through the common Inria /Alcatel-lucent laboratory) and
France Telecom have been weaved, leading to successful collaborations.
Theory used include network information theory, optimisation methods
and distributed algorithms (applied to radio transmission). Simulation
tools are intensively used: Matlab and radio network simulator (WsNet
and Wiplan) and the FIT platform will be used for prototyping to bridge the
gap between theory and implementation.
Software Radio Programming Model
Tanguy Risset (coordinator), Kevin Marquet, Guillaume Salagnac
Software means programmable. Hence software defined radio means that
the radio should now be programmable. We know what computer
programming means, and we agree, up to a certain level, on how it
should be done. But do we know what programming a radio means? Several
questions are still open: what will a SDR platform look like in ten
years? Will there exist software radio code? What will be
the technical challenges and commercial issues behind this code?
Software radio, considered as a particular field
of software programming, needs the extension of two important computer science concepts:
- Hardware Abstraction Layer for SDR: how will SDR platform be abstracted so as to propose a common API to Waveform programmers?
- Middleware for SDR: what will be the programming infrastructure
enabling dynamic re-programming and cognitive adaptive behavior of SDR terminals?
In this research axis, we are involved in the study of a Virtual
Radio Machine in collaboration with CEA Lialp and
Lastre laboratories: how virtual machine (VM) concept can be adapted
to SDR platform . We also have advanced technical discussion with
France Telecom R&D (Grenoble) and Alcatel-Lucent to study this
embedded software issue in the internet of things context, i.e. with
simpler platforms.
The methodology used here is to adapt well defined signal processing
programming paradigm (data-flow, KPN) to the specific constraints of
SDR programming (low power, throughput constraints and paquet
switching standard). Again, experimental validation on existing SDR
platform (FIT and CEA 's chips) will be considered as mandatory.
People
Head
Professor
Embedded systems, High level synthesis, SOC simulations
Faculty
Research engineer
Network administration
Professor
Wireless link modeling and optimization
Associate professor
Radio communication
| Email |
Claire.Goursaud@insa-lyon.fr |
| Phone |
+33 47243 6327 |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TB-119 |
| Origin |
CITI |
| Member |
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Associate professor
Radiocommunications : Systemes agiles
| Email |
florin-doru.hutu@insa-lyon.fr |
| Phone |
+33 47243 7316 |
| Fax |
+33 47243 6227 |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TB-233 |
| Origin |
CITI |
| Member |
|
Associate professor
Wireless link modeling and optimization
| Email |
lebedev@cpe.fr |
| Phone |
+33 47243 6416 |
| Fax |
+33 47243 6227 |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TB-127 |
| Origin |
CITI |
| Member |
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Associate professor
Design and verification of operating systems and virtual machines.
Assistant
Assistant
| Email |
margarita.raimbaud@insa-lyon.fr |
| Phone |
+33 47243 6415 |
| Fax |
+33 47243 6227 |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TB-130 |
| Origin |
CITI |
| Member |
|
Associate professor
Programming languages and operating systems for embedded systems
Assistant
Assistant
| Email |
Gaelle.Tworkowski@inria.fr |
| Phone |
+33 47243 6421 |
| Fax |
+33 47243 6227 |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TLC-118 |
| Origin |
CITI |
| Member |
- Swing
- Airelle
- Socrate
- Amazones
- UrbaNet
|
Associate professor
Smart antennas and wireless link
Guests, exteriors and assistants
Post-Doctoral fellow
Green transmission technologies for cellular networks
Post-Doctoral fellow
Green Mac/Phy protocols design
| Email |
weiyuxin82@gmail.com |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TB-125 |
| Origin |
CITI |
| Member |
|
PhD students
PhD Student
Security of an UWB-IR radio link PHY/MAC layers approach
PhD Student
machine virtuelle pour la radio cognitive
PhD Student
Modelisation d'un reseau sans fils en bande ultra etroite et optimisation du protocole de communication
| Email |
do_minhtien19@yahoo.com |
| Phone |
+33 649080870 |
| Fax |
+33 47243 6227 |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TLC-241 |
| Origin |
CITI |
| Member |
|
PhD Student
Cooperative communications in BANET
| Email |
paul.ferrand@insa-lyon.fr |
| Phone |
+33 47243 6485 |
| Fax |
+33 47243 6227 |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TB-238 |
| Origin |
CITI |
| Member |
|
PhD Student
Opportunistic radio resource sharing for next-gen cellular networks
PhD Student
Optimization of resource allocation for small cells networks
| Email |
cengis.hasan@inria.fr |
| Phone |
+33 47243 6485 |
| Fax |
+33 47243 6227 |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TLC-240 |
| Origin |
CITI |
| Member |
|
PhD Student
Architectures radio faible puissance et faible coût pour reseaux domestiques
| Email |
aissa.khoumeri@insa-lyon.fr |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TLC-240 |
| Origin |
CITI |
| Member |
|
PhD Student
Design and evaluation of information gathering systems for dense mobile wireless sensor networks
| Email |
matthieu.lauzier@insa-lyon.fr |
| Phone |
+33 47243 7305 |
| Fax |
+33 47243 6227 |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TLC-241 |
| Origin |
CITI |
| Member |
|
PhD Student
Fast and accurate radio propagation models for radio network planning
| Email |
meilingluo@gmail.com |
| Fax |
+33 47243 6227 |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TB-233 |
| Origin |
CITI |
| Member |
|
PhD student
Wireless heterogeneous networks dynamic planning in urban and indoor non-stationary environments.
PhD Student
Full-Duplex Multimode MIMO wireless communications
| Email |
zhaowu.zhan@insa-lyon.fr |
| Phone |
+33 47243 6485 |
| Fax |
+33 47243 6227 |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TLC-240 |
| Origin |
CITI |
| Member |
|
Trainees
Master student
Smart radio pour reseau de capteurs
| Email |
moemen513514@hotmail.fr |
| Phone |
+33 47243 7313 |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TLC-117 |
| Origin |
CITI |
| Member |
|
Master student
Etude des techniques de sous-echantillonnage pour la radio logicielle
Master student
Performance analysis for /dev/random
| Email |
contact@thibautvuillemin.com |
| Phone |
+33 47243 7313 |
| Address |
Laboratoire CITI / INSA-Lyon
6 Av. des Arts
69621 Villeurbanne Cedex |
| Office |
TLC-117 |
| Origin |
CITI |
| Member |
|
