GRAPMAN: Gradual power manager for consistent throughput of energy harvesting wireless sensor nodes. - Fayçal Ait Aoudia; Matthieu Gautier; Olivier Berder (PIMRC, 2015)

Demo abstract: How fuzzy logic can enhance energy management in Wireless Sensor nodes equipped by energy harvesters and wake-up radios. - Fayçal Ait Aoudia; Matthieu Gautier; Olivier Berder (DASIP, 2016)

A Low Latency and Energy Efficient Communication Architecture for Heterogeneous Long-Short Range Communication. - Fayçal Ait Aoudia; Michele Magno; Matthieu Gautier; Olivier Berder; Luca Benini (DSD, 2016)

Analytical and Experimental Evaluation of Wake-Up Receivers Based Protocols. - Fayçal Ait Aoudia; Michele Magno; Matthieu Gautier; Olivier Berder; Luca Benini (GLOBECOM, 2016)

Blind I/Q Imbalance Compensation for M-QAM Optical Coherent Systems Based on Pseudo-Rotation. - Ti Nguyen-Ti; Matthieu Gautier; Pascal Scalart; Olivier Berder; Trung-Hien Nguyen; Fayçal Ait Aoudia (GLOBECOM, 2016)

Fuzzy power management for energy harvesting Wireless Sensor Nodes. - Fayçal Ait Aoudia; Matthieu Gautier; Olivier Berder (ICC, 2016)

Poster Abstract: Wake-Up Receivers for Energy Efficient and Low Latency Communication. - Fayçal Ait Aoudia; Michele Magno; Matthieu Gautier; Olivier Berder; Luca Benini (IPSN, 2016)

SNW-MAC: An Asynchronous Protocol Leveraging Wake-Up Receivers for Data Gathering in Star Networks. - Fayçal Ait Aoudia; Matthieu Gautier; Michele Magno; Olivier Berder; Luca Benini (S-CUBE, 2016)

OPWUM: Opportunistic MAC Protocol Leveraging Wake-Up Receivers in WSNs. - Fayçal Ait Aoudia; Matthieu Gautier; Olivier Berder (J. Sensors, 2016)

WULoRa: An energy efficient IoT end-node for energy harvesting and heterogeneous communication. - Michele Magno; Fayçal Ait Aoudia; Matthieu Gautier; Olivier Berder; Luca Benini (DATE, 2017)

Learning to survive: Achieving energy neutrality in wireless sensor networks using reinforcement learning. - Fayçal Ait Aoudia; Matthieu Gautier; Olivier Berder (ICC, 2017)

A Generic Framework for Modeling MAC Protocols in Wireless Sensor Networks. - Fayçal Ait Aoudia; Matthieu Gautier; Michele Magno; Olivier Berder; Luca Benini (IEEE/ACM Trans. Netw., 2017)

Distributed Computation of Fair Packet Rates in Energy Harvesting Wireless Sensor Networks. - Fayçal Ait Aoudia; Matthieu Gautier; Olivier Berder (IEEE Wirel. Commun. Lett., 2017)

Energy Harvesting Wireless Sensor Networks Leveraging Wake-up Receivers: Energy Managers and MAC Protocols. (Réseaux de Capteurs Sans Fils Auto-alimentés Utilisant des Wake-up Radios: Gestionnaire d'Énergie et Protocoles MAC). - Fayçal Ait Aoudia (2017)

End-to-End Learning of Communications Systems Without a Channel Model. - Fayçal Ait Aoudia; Jakob Hoydis (ACSSC, 2018)

Feature Selection Framework for Multi-Source Energy Harvesting Wireless Sensor Networks. - Marwa Kazdoghli Lagha; Fayçal Ait Aoudia; Matthieu Gautier; Olivier Berder (VTC Spring, 2018)

Long-short range communication network leveraging LoRa™ and wake-up receiver. - Fayçal Ait Aoudia; Matthieu Gautier; Michele Magno; Mickaël Le Gentil; Olivier Berder; Luca Benini (Microprocess. Microsystems, 2018)

Leveraging Energy Harvesting and Wake-Up Receivers for Long-Term Wireless Sensor Networks. - Fayçal Ait Aoudia; Matthieu Gautier; Michele Magno; Olivier Berder; Luca Benini (Sensors, 2018)

RLMan: An Energy Manager Based on Reinforcement Learning for Energy Harvesting Wireless Sensor Networks. - Fayçal Ait Aoudia; Matthieu Gautier; Olivier Berder (IEEE Trans. Green Commun. Netw., 2018)

Joint Learning of Geometric and Probabilistic Constellation Shaping. - Maximilian Stark; Fayçal Ait Aoudia; Jakob Hoydis (GLOBECOM Workshops, 2019)

Towards Hardware Implementation of Neural Network-based Communication Algorithms. - Fayçal Ait Aoudia; Jakob Hoydis (SPAWC, 2019)

Deep Reinforcement Learning Autoencoder with Noisy Feedback. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis (WiOpt, 2019)

Model-Free Training of End-to-End Communication Systems. - Fayçal Ait Aoudia; Jakob Hoydis (IEEE J. Sel. Areas Commun., 2019)

Increased Reach of Long-Haul Transmission using a Constant-Power 4D Format Designed Using Neural Networks. - René-Jean Essiambre; Roland Ryf; Murali S. Kodialam; Bin Chen 006; Mikael Mazur; Juan I. Bonetti; Riccardo Veronese; Hanzi Huang; Ankit Gupta 008; Fayçal Aït Aoudia; Ellsworth C. Burrows; Diego F. Grosz; et al. (ECOC, 2020)

Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems. - Fayçal Ait Aoudia; Jakob Hoydis (GLOBECOM, 2020)

Extended Abstract: Deep Learning of the Physical Layer for BICM Systems. - Fayçal Ait Aoudia; Sebastian Cammerer; Sebastian Dörner; Maximilian Stark; Jakob Hoydis; Stephan ten Brink (SiPS, 2020)

Deep HyperNetwork-Based MIMO Detection. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis (SPAWC, 2020)

Towards a 6G AI-Native Air Interface. - Jakob Hoydis; Fayçal Ait Aoudia; Alvaro Valcarce; Harish Viswanathan (CoRR, 2020)

Trainable Communication Systems: Concepts and Prototype. - Sebastian Cammerer; Fayçal Ait Aoudia; Sebastian Dörner; Maximilian Stark; Jakob Hoydis; Stephan ten Brink (IEEE Trans. Commun., 2020)

End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping. - Fayçal Ait Aoudia; Jakob Hoydis (GLOBECOM (Workshops), 2021)

End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis; Jean-Marie Gorce (GLOBECOM (Workshops), 2021)

Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning. - Fayçal Ait Aoudia; Jakob Hoydis (ICC Workshops, 2021)

Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis; Jean-Marie Gorce (SPAWC, 2021)

Toward a 6G AI-Native Air Interface. - Jakob Hoydis; Fayçal Ait Aoudia; Alvaro Valcarce; Harish Viswanathan (IEEE Commun. Mag., 2021)

Learning OFDM Waveforms with PAPR and ACLR Constraints. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis; Jean-Marie Gorce (CoRR, 2021)

Machine Learning for MU-MIMO Receive Processing in OFDM Systems. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis; Jean-Marie Gorce (IEEE J. Sel. Areas Commun., 2021)

Deep Learning-Based Synchronization for Uplink NB-IoT. - Fayçal Aït Aoudia; Jakob Hoydis; Sebastian Cammerer; Matthijs Van Keirsbilck; Alexander Keller 001 (GLOBECOM, 2022)

Graph Neural Networks for Channel Decoding. - Sebastian Cammerer; Jakob Hoydis; Fayçal Aït Aoudia; Alexander Keller 001 (GLOBECOM (Workshops), 2022)

Convolutional Self-Attention-Based Multi-User MIMO Demapper. - Athur Michon; Fayçal Ait Aoudia; K. Pavan Srinath (ICC, 2022)

Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier. - Dani Korpi; Mikko Honkala; Janne M. J. Huttunen; Fayçal Ait Aoudia; Jakob Hoydis (CoRR, 2022)

Sionna: An Open-Source Library for Next-Generation Physical Layer Research. - Jakob Hoydis; Sebastian Cammerer; Fayçal Ait Aoudia; Avinash Vem; Nikolaus Binder; Guillermo Marcus; Alexander Keller 001 (CoRR, 2022)

Waveform Learning for Next-Generation Wireless Communication Systems. - Fayçal Ait Aoudia; Jakob Hoydis (IEEE Trans. Commun., 2022)

End-to-End Learning for OFDM: From Neural Receivers to Pilotless Communication. - Fayçal Ait Aoudia; Jakob Hoydis (IEEE Trans. Wirel. Commun., 2022)

A Neural Receiver for 5G NR Multi-User MIMO. - Sebastian Cammerer; Fayçal Aït Aoudia; Jakob Hoydis; Andreas Oeldemann; Andreas Roessler; Timo Mayer; Alexander Keller 001 (GLOBECOM (Workshops), 2023)

Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling. - Jakob Hoydis; Fayçal Ait Aoudia; Sebastian Cammerer; Merlin Nimier-David; Nikolaus Binder; Guillermo Marcus; Alexander Keller 001 (GLOBECOM (Workshops), 2023)

Learning Radio Environments by Differentiable Ray Tracing. - Jakob Hoydis; Fayçal Aït Aoudia; Sebastian Cammerer; Florian Euchner; Merlin Nimier-David; Stephan ten Brink; Alexander Keller 001 (CoRR, 2023)

Design of a Standard-Compliant Real-Time Neural Receiver for 5G NR. - Reinhard Wiesmayr; Sebastian Cammerer; Fayçal Aït Aoudia; Jakob Hoydis; Jakub Zakrzewski 003; Alexander Keller 001 (CoRR, 2024)

Sionna RT: Technical Report. - Fayçal Aït Aoudia; Jakob Hoydis; Merlin Nimier-David; Sebastian Cammerer; Alexander Keller 001 (CoRR, 2025)

Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN. - Sebastian Cammerer; Guillermo Marcus; Tobias Zirr; Fayçal Aït Aoudia; Lorenzo Maggi; Jakob Hoydis; Alexander Keller 001 (CoRR, 2025)