Irched Chafaa

ile de France, France
E-Mail: 
irched (dot) chafaa (at) ensea (dot) fr
Biography: 

Irched chafaa is currently a PhD student at   L2S (UMR 8506, CentraleSupelec ) and  ETIS (UMR 8051, Ecole nationale supérieure de l'électronique et ses applications ) laboratories  working on resource allocation policies in mmWave networks using tools and algorithms inspired from machine learning.  He is jointly advised by Prof Mérouane Debbah  (official director, Huawei, France) and E.Veronica BELMEGA (MCF/HDR at ETIS).

Research Topics: 

mmWave communications machine learning

Publications: 

Journal papers

- I. Chafaa, R. Negrel, E.V. Belmega, and M. Debbah, "Unsupervised deep learning for mmWave beam steering exploiting sub-6 GHz channels", submitted to IEEE Trans. on Wireless Commun., Apr. 2021.

- I. Chafaa, E.V. Belmega, and M. Debbah, "One-bit Feedback exponential learning for beam alignment in mobile mmWave", IEEE Access, pp.194575-194589, Oct. 2020.

Conference papers

- I. Chafaa, R. Negrel, E.V. Belmega, and M. Debbah, "Federated channel-beam mapping: from sub-6GHz to mmWave", IEEE WCNC, Workshop on Distributed Machine Learning for Future Communications and Networking, Mar. 2021.

- I. Chafaa, E.V. Belmega, and M. Debbah, "Exploiting Channel Sparsity for Beam Alignment in mmWave Systems via Exponential Learning", IEEE ICC, Open Workshop on Machine Learning for Communications (ML4COM), Dublin, Ireland, Jun. 2020.

- I. Chafaa, E. V. Belmega, and M. Debbah, "Adversarial Multi-armed Bandit for mmWave Beam Alignment with One-bit Feedback", ACM ValueTools 2019, Palma de Mallorca, Spain, Mar. 2019.

- I Chafaa, and M Djeddou, “Improved channel estimation in mmWave communication system”, 7 th seminar on Detection Systems and Technologies (DAT), indexed on IEEE Xplore, Algiers, 20-22 February 2017.