Mardi 13 décembre 2016, à l'Université de Cergy-Pontoise, aura lieu un séminaire présetnant une thématique de recherche d'Inbar Fijalkow, enseignante-chercheuse à l'ENSEA.
Abstract:
The use of one-bit analog-to-digital (ADC) and digital-to-analog converters (DAC) has been proposed to reduce the otherwise overwhelming cost and energy consumption associated with massive MIMO communication systems.
This talk focuses on the issues associated with coarse quantization in massive MIMO systems, and demonstrates that the corresponding impact is minimal at low SNRs, and can be controlled through intelligent signal processing at low-to-medium SNRs. The Bussgang decomposition is used to analyze linear precoders for the one-bit case. Vector perturbation allows to improve even more the performances.
While a number of open problems remain, low-resolution quantization appears to be a promising approach to realizing massive MIMO systems with high data rates.
