activity
20102023
collaborators

5 papers

stat.ML2023

On the Accuracy of Hotelling-Type Asymmetric Tensor Deflation: A Random Tensor Analysis

Mohamed El Amine Seddik, Maxime Guillaud, Alexis Decurninge +1

This work introduces an asymptotic study of Hotelling-type tensor deflation in the presence of noise, in the regime of large tensor dimensions. Specifically, we consider a low-rank…

stat.ML2023

Hotelling Deflation on Large Symmetric Spiked Tensors

Mohamed El Amine Seddik, José Henrique de Morais Goulart, Maxime Guillaud

This paper studies the deflation algorithm when applied to estimate a low-rank symmetric spike contained in a large tensor corrupted by additive Gaussian noise. Specifically, we pr…

cs.IT2022

Constant Weight Codes with Gabor Dictionaries and Bayesian Decoding for Massive Random Access

Patrick Agostini, Zoran Utkovski, Alexis Decurninge +2

This paper considers a general framework for massive random access based on sparse superposition coding. We provide guidelines for the code design and propose the use of constant-w…

cs.IT2016

SNOPS: Short Non-Orthogonal Pilot Sequences for Downlink Channel State Estimation in FDD Massive MIMO

Beatrice Tomasi, Alexis Decurninge, Maxime Guillaud

Channel state information (CSI) acquisition is a significant bottleneck in the design of Massive MIMO wireless systems, due to the length of the training sequences required to dist…

cs.IT2010

Receive Diversity and Ergodic Performance of Interference Alignment on the MIMO Gaussian Interference Channel

Maxime Guillaud

We consider interference alignment (IA) over K-user Gaussian MIMO interference channel (MIMO-IC) when the SNR is not asymptotically high. We introduce a generalization of IA which…