Description:

This internship will be conducted at IETR - Rennes University, in collaboration with IEMN - Lille University. The goal is to evaluate and enhance the performance of cell-free massive MIMO (CF-mMIMO) systems using advanced signal processing and data-driven techniques. Specifically, the intern leverage signal processing schemes for channel estimation, precoding, and power allocation provided by IETR, alongside realistic propagation models provided by IEMN, to achieve two key objectives:

1. Performance Evaluation: Assess the performance of CF-mMIMO systems over realistic propagation models, analyzing key metrics such as spectral efficiency and energy efficiency under realistic channel conditions.
2. GenAI Models for Channel Data Augmentation: Develop Generative AI models for channel data augmentation, aimed at enhancing the coverage area by generating synthetic channel data that supplements real-world measurements.

Skills Required: Strong background in wireless communications and signal processing, proficiency in Python, and foundational knowledge in AI/ML techniques.

Contact: Prof. Rafik ZAYANI – rafik.zayani@univ-rennes.fr