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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.

 


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.

 


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.

 


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.

 

News

2018 IEEE Marconi Prize Paper Award in Wireless Communications
2017 EURASIP Best Paper Award for the Journal on Wireless Communications and Networking
2016 STIC Doctoral School Best Scientific Contribution Award
Best Paper Award at European Wireless 2016
2016 IEEE Communications Society Best Tutorial Paper Award
Best PhD Thesis/Publication prize from the Fondation Supélec

Journal Articles

  • Allais' Paradox and Resource Allocation in Telecommunication Networks
  • Asymptotic Analysis of RZF over Double Scattering Channels with MMSE Estimation
  • Energy Efficient Relay Assignment and Power Control in Multi-User and Mult-Relay Networks
  • Spectral-Energy Efficiency Pareto Front in Cellular Networks: A Stochastic Geometry Framework
  • On the Uplink Max-Min SINR of Cell-Free Massive MIMO Systems

Conference Articles

  • Energy Efficient Multi-User MISO Communication using Low Resolution Large Intelligent Surfaces
  • Federated Learning for Ultra-Reliable Low-Latency V2V Communications
  • Machine Learning for Predictive On-Demand Deployment of UAVs for Wireless Communications
  • 3D Cellular Network Architecture with Drones for Beyond 5G
  • Model-Aided Wireless Artificial Intelligence: Embedding Expert Knowledge in Deep Neural Networks Towards Wireless Systems Optimization

Books and Book Chapters

  • A Proactive and Big data-enabled Caching Analysis Perspective
  • Small Cell Networks: Deployment, PHY Techniques, and Resource Management
  • Proactive Caching in 5G Small Cell Networks
  • Optimal Resource Allocation in Coordinated Multi-Cell Systems
  • Reacting to Interference: A mean field Stochastic Game Approach

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