LANEAS

 

RESEARCH TOPICS
 

Mathematical Tools in Large Dimensions

At the core of the LANEAS research are theoretical advances in large dimensional random matrix theory, free probabiliy theory, game theory and mean field games, stochastic geometry and point processes, communication/ information theory.
 

Antenna Array and Network Signal Processing

Applications of our theoretical tools are made in the discipline of signal processing for large antenna arrays, such as improved detection and localization schemes, robust estimation methods, estimation under stationary noise.
 

Data Mining

A growing activity on BigData is taking place in the LANEAS group, with in particular research in random matrix methods for machine learning and sparse principal component analysis, along with distributed storage and caching techniques in networks.
 

Wireless Networks

Multi-cellular multi-user multi-antenna are at the core of the application-oriented research in the LANEAS group, with the performance analysis, precoder design, and topology improvement of multicell massive MIMO, small cells, and heterogeneous networks for the design of 5G.

Find out all publications from LANEAS

 

 

TEACHING

The group has been actively providing courses in various academic institutions (all) around the world:
 

  • Inference Methods for Science and Engineering Applications (Master and PhD level: University of Oslo).
  • Statistical Signal Processing for Communications (Master level: Coltech, Vietnam).
  • Multi-Antenna Technologies (graduate level: ENSEIRB Bordeaux, Université of Avignon, Ecole Polytechnique de Tunisie).
  • Random Matrix Theory and its applications to Wireless Communications (Master and PhD level: University of Oslo, University of Aalborg, INRIA, CentraleSupélec, Orange-Labs, Cambridge University).
  • Game Theory and its applications to Wireless Communications (Master and PhD level: University of Oulu, University of Oslo, CentraleSupélec, University of Modena).
  • Channel Modelling (Master SAR at CentraleSupélec).
  • Theoretical Foundations of Mobile Flexible Networks (Master SAR: CentraleSupélec).

 

VIDEO

Professor Mérouane Debbah for a lecture dedicated to 5G:

Les dernières publications

Communication dans un congrès
20/05/2019
Deep Learning for UL/DL Channel Calibration in Generic Massive MIMO Systems
Chongwen Huang, George Alexandropoulos, Alessio Zappone, Chau Yuen, Mérouane Debbah
Article dans une revue
01/01/2019
Article dans une revue
05/07/2018
Article dans une revue
15/06/2018
Traffic-Aware Scheduling and Feedback Allocation in Multichannel Wireless Networks
Matha Deghel, Mohamad Assaad, Mérouane Debbah, Anthony Ephremides
Communication dans un congrès
03/06/2018
Voir toutes les publications du laboratoire sur HAL