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.
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.
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.
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.
