3 papers
cs.LG2021
Unsupervised Machine learning methods for city vitality index
Jean-Sébastien Dessureault, Jonathan Simard, Daniel Massicotte
This paper concerns the challenge to evaluate and predict a district vitality index (VI) over the years. There is no standard method to do it, and it is even more complicated to do…
eess.SP2019
Autoencoder for Interconnect's Bandwidth Relaxation in Large Scale MIMO-OFDM Processing
Messaoud Ahmed Ouameur, Daniel Massicotte
Deep learning is playing an instrumental role in the design of the next generation of communication systems. In this letter, we address the massive MIMO interconnect's bandwidth co…
eess.SP2017
A Novel Mataheuristic based Interference Alignment for K-User Interference Channel : A Comparative Study
Lysa Ait Messaoud, Fatiha Merazka, Daniel Massicotte
This paper presents a new Interference Alignment (IA) scheme for K-User Multiple Input Multiple Output (MIMO) Interference Channel (IC) based on two metaheuristics, namely Particle…