Block Recursive MIMO Decoding. - Aymen Askri; Ghaya Rekaya-Ben Othman; Mohamed-Achraf Khsiba (ICT, 2018)

Counting Lattice Points in the Sphere using Deep Neural Networks. - Aymen Askri; Ghaya Rekaya-Ben Othman; Hadi Ghauch (ACSSC, 2019)

DNN assisted Sphere Decoder. - Aymen Askri; Ghaya Rekaya-Ben Othman (ISIT, 2019)

Combined Vector Perturbation for Adaptive Modulation in MU-MIMO. - Aymen Askri; Ghaya Rekaya-Ben Othman (ICT, 2020)

Precoding in Massive MU-MIMO Systems Based on New CSI Accuracy Indicator Reporting. - Aymen Askri; Ghaya Rekaya-Ben Othman (ICT, 2020)

Distributed DNN based Processing for Uplink Could-RAN. - Chao Zhang 005; Aymen Askri; Ghaya Rekaya-Ben Othman (ISIT, 2021)

Priority-Resource-Limited JT-CoMP Scheme for Small Dense Networks. - Aymen Askri; Ghaya Rekaya-Ben Othman (MeditCom, 2021)

Distributed Learning Assisted Fronthaul Compression for Multi-Antenna C-RAN. - Aymen Askri; Chao Zhang 005; Ghaya Rekaya-Ben Othman (IEEE Access, 2021)

The uplink reception and downlink transmission in MU-MIMO for 5G. (La réception en liaison montante et la transmission en liaison descendante en MU-MIMO pour la 5G). - Aymen Askri (2021)

Quantization-Aware Processing for Massive MIMO Uplink Cloud RAN. - Chao Zhang 005; Aymen Askri; Ghaya Rekaya-Ben Othman; Li Wang 039 (IEEE Commun. Lett., 2022)

Deep learning based context classification for cognitive network management. - Aymen Askri; Imed Hadj-Kacem; Sana Ben Jemaa; Kahina Mokrani (VTC2023-Spring, 2023)

BOLD: Boolean Logic Deep Learning. - Van Minh Nguyen; Cristian Ocampo-Blandon; Aymen Askri; Louis Leconte; Ba-Hien Tran (NeurIPS, 2024)