Research Summary
My current research interests lie mainly between the field of signal processing and transceiver design at the physical layer level. I also investigate machine learning approaches for dimensionality reduction for wireless propagation channel data. In a way, I try to find optimal ways to compress the channel data to reuse it more efficiently in physical or network layer algorithms down the road.
As a researcher in an industrial company, I provide analyses for systems affected by imperfections in their radio-frequency circuits, such as timing skew and phase noise -- commonly named dirty RF. I have studied numerous cases of such noises in different systems like cellular base stations, high-speed point-to-point transmissions, residential backhauling, and full-duplex transceivers.
Following my work with Jean-Marie Gorce and Leonardo Cardoso during my post-doc, I have a strong interest in interference modeling and interference coordination techniques for dense cellular networks. The performance of these systems are usually interference limited, and removal of interferers can in some cases improve dramatically the performance of some users. I spent time analyzing and implementing such interference management methods, and am now more focused on the analysis of interference dynamics in these networks: how does it evolve and how predictable this may be.
During my Ph.D. studies, I worked on cooperative communications applied to sensor networks, and more specifically sensor networks located in and on the body -- aptly named Body Area Networks. I studied the benefit of cooperations to improve the performance and energy consumption/radiation of these networks, from both the information theory and signal processing point of view. I also led implementation and measurement campaigns together with Matthieu Lauzier, another Ph.D. student in my laboratory at the time. This led me to undertake and keep up interest in wireless channel modeling and measurement communities, which I focus more on future cellular and mm-Wave systems nowadays.
Interests
- Cooperation in wireless networks
- Distributed algorithms for interference management
- Algorithms for dirty (imperfect) RF transceivers
- Channel measurements and modeling
- Energy and performance tradeoffs in communications
Collaborators
I have had the great pleasure of collaborating with many great scientists throughout my Ph.D. and post-doctoral positions in Lyon, as well as more recently within Huawei. I most especially thank Jean-Marie Gorce for his guidance during my Ph.D. thesis, as well as Marine Minier during my M. Sc. They both are passionate researchers and teachers that have had a major impact on my education.