activity
20202026
collaborators

9 papers

eess.SP2026

A Transformer for Joint Multi-Receiver Pilotless Wi-Fi Decoding

Xavier Tardy, Grégoire Lefebvre, Apostolos Kountouris +2

In this paper we discuss the development of a fully pilotless multi-access-point Wi-Fi receiver. This is based on a self-attention Transformer that operates on per-(access point, s…

eess.SP2026

Phase Uniformity Detector for GRSMReceivers in mmWave and Sub-THz Bands

Oshin Daoud, Haifa Fares, Yahia Medjahdi +2

This paper introduces a phase-domain statistical detector, the Phase Uniformity Detector (PUD), for binary hypothesis testing in Generalized Receive Spatial Modulation (GRSM) syste…

eess.SP2026

Exploiting Spatial Modulation for Strong PhaseNoise Mitigation in mmWave Massive MIMO

Oshin Daoud, Haifa Fares, Amor Nafkha +2

This letter investigates phase noise (PN) mitigation in generalized receiver spatial modulation (GRSM) massive MIMO systems at mmWave under a common local oscillator (CLO). Under C…

eess.SP2026

Scalable Cross-Attention Transformer for Cooperative Multi-AP OFDM Uplink Reception

Xavier Tardy, Grégoire Lefebvre, Apostolos Kountouris +2

We propose a cross-attention Transformer for joint decoding of uplink OFDM signals received by multiple coordinated access points. A shared per-receiver encoder learns the time-fre…

eess.SP2025

Federated Learning for Secure and Efficient Device Activity Detection in mMTC Networks

Ali Elkeshawy, Ibrahim Al Ghosh, Haifa Fares +1

Grant-free random access in massive machine-type communications enables low-latency connectivity with minimal signaling. However, sporadic device activation requires efficient devi…

eess.SP2025

Robust Learning-Based Sparse Recovery for Device Activity Detection in Grant-Free Random Access Cell-Free Massive MIMO: Enhancing Resilience to Impairments

Ali Elkeshawy, Haifa Fares, Amor Nafkha

Massive MIMO is considered a key enabler to support massive machine-type communication (mMTC). While massive access schemes have been extensively analyzed for co-located massive MI…

eess.SP2025

Lightweight Learning for Grant-Free Activity Detection in Cell-Free Massive MIMO Networks

Ali Elkeshawy, Haifa Fares, Amor Nafkha

Grant-free random access (GF-RA) is a promising access technique for massive machine-type communications (mMTC) in future wireless networks, particularly in the context of 5G and b…

cs.LG2024

Deep Learning-Based Approach for User Activity Detection with Grant-Free Random Access in Cell-Free Massive MIMO

Ali Elkeshawy, HaÏfa Farès, Amor Nafkha

Modern wireless networks must reliably support a wide array of connectivity demands, encompassing various user needs across diverse scenarios. Machine-Type Communication (mMTC) is…

eess.SP2020

Performance vs. Spectral Properties For Single-Sideband Continuous Phase Modulation

Karim Kassan, Haïfa Farès, D. Christian Glattli +1

This study revokes the performance of continuous phase modulation (CPM) able to generate a single-sideband (SSB) spectrum directly. This signal is analyzed in terms of modulation i…