M
Maxime Guillaud
Researcher at Huawei
Publications - 129
Citations - 2950
Maxime Guillaud is an academic researcher from Huawei. The author has contributed to research in topics: MIMO & Communication channel. The author has an hindex of 24, co-authored 123 publications receiving 2404 citations. Previous affiliations of Maxime Guillaud include Institut Eurécom & Vienna University of Technology.
Papers
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Proceedings ArticleDOI
A practical method for wireless channel reciprocity exploitation through relative calibration
TL;DR: Experimental results confirm the validity of the proposed linear reciprocity model, and of the calibration approach, which lets the transmitter acquire knowledge of the downlink channel state from the uplink channel estimates, through proper modeling and estimation of the RF circuitry impulse responses.
Journal ArticleDOI
Dual-polarized wireless communications: from propagation models to system performance evaluation
TL;DR: A new and simple analytical framework is presented to model dual-polarized Rayleigh and Ricean fading channels for arbitrary array sizes and investigates the multiplexing advantage of dual- polarized transmissions through the evaluation of the ergodic mutual information.
Journal ArticleDOI
Convergent Communication, Sensing and Localization in 6G Systems: An Overview of Technologies, Opportunities and Challenges
Carlos H. M. de Lima,Didier Belot,Rafael Berkvens,Andre Bourdoux,Davide Dardari,Maxime Guillaud,Minna Isomursu,Elena Simona Lohan,Yang Miao,Andre Noll Barreto,Muhammad Reza Kahar Aziz,Jani Saloranta,Tachporn Sanguanpuak,Hadi Sarieddeen,Gonzalo Seco-Granados,Jaakko Suutala,Tommy Svensson,Mikko Valkama,Barend van Liempd,Henk Wymeersch +19 more
TL;DR: In this article, the authors focus on convergent 6G communication, localization and sensing systems by identifying key technology enablers, discussing their underlying challenges, implementation issues, and recommending potential solutions.
Proceedings Article
Relative channel reciprocity calibration in MIMO/TDD systems
TL;DR: It is demonstrated that in a single-user MIMO channel and for low signal-to-noise (SNR) ratios, the relative calibration method can increase the capacity close to the theoretical limit.
Proceedings ArticleDOI
Cellular Interference Alignment with Imperfect Channel Knowledge
Roland Tresch,Maxime Guillaud +1 more
TL;DR: The sum mutual information achieved by interference alignment when the base stations share their information about the channels is shown to compare favorably to the achievable sum-rate of methods where the base station do not cooperate, even under moderately accurate knowledge of the channel state.