Publications

Deep Learning Constellation Design for the AWGN Channel with Additive Radar Interference

Rate Adaptation for Incremental Redundancy Secure HARQ

On some Properties of the Mutual Information between Extrinsics with Application to Iterative Decoding

Achievable Secrecy Rates for the Broadcast Channel with Confidential Message and Finite Constellation Inputs

Achievable Rates Optimization For Broadcast Channels Using Finite Size Constellations Under Transmission Constraints

Power extrinsic propagation for turbo-codes

On the use of cascade structure to correct impulsive noise in multicarrier systems

A Necessary Condition on the Location of Pilot Tones for Maximizing the Correction Capacity in OFDM Systems

Blind identification/equalization using deterministic maximum likelihood and a partial prior on the input

Impulsive Noise Cancellation in Multicarrier Transmission

Igeood: An Information Geometry Approach to Out-of-Distribution Detection

A Simple Statistical Method to Detect Covariate Shift

Apprentissage par réseau de neurones pour communiquer en présence d’une interférence radar

Detecting covariate shift with Black Box predictors

Constellation design with deep learning for downlink non-orthogonal multiple access

Min-sum decoding of irregular LDPC codes with adaptive scaling based on mutual information

Semi-Orthogonal MARC with half duplex relaying: A Backward Compatible Cooperative Network with Interference Channels

Propriétés et applications de l’information mutuelle entre extrinsèques

Rate-adaptive Secure HARQ Protocol for Block-Fading Channels

The impact of finite-alphabet input on the secrecy-achievable rates for broadcast channel with confidential message

Méthodes de codage et d’estimation adaptative appliquées aux communications sans fil