Fayçal Ait Aoudia

According to our database, Fayçal Ait Aoudia authored at least 47 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Design of a Standard-Compliant Real-Time Neural Receiver for 5G NR.

Reinhard Wiesmayr, Sebastian Cammerer, Fayçal Aït Aoudia, Jakob Hoydis, Jakub Zakrzewski, Alexander Keller

CoRR, 2024

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

CoRR, 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

Proceedings of the IEEE Globecom Workshops 2023, 2023

A Neural Receiver for 5G NR Multi-User MIMO.

Sebastian Cammerer, Fayçal Aït Aoudia, Jakob Hoydis, Andreas Oeldemann, Andreas Roessler, Timo Mayer, Alexander Keller

Proceedings of the IEEE Globecom Workshops 2023, 2023

2022

End-to-End Learning for OFDM: From Neural Receivers to Pilotless Communication.

Fayçal Ait Aoudia, Jakob Hoydis

IEEE Trans. Wirel. Commun., 2022

Waveform Learning for Next-Generation Wireless Communication Systems.

Fayçal Ait Aoudia, Jakob Hoydis

IEEE Trans. Commun., 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

CoRR, 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

Convolutional Self-Attention-Based Multi-User MIMO Demapper.

Athur Michon, Fayçal Ait Aoudia, K. Pavan Srinath

Proceedings of the IEEE International Conference on Communications, 2022

Graph Neural Networks for Channel Decoding.

Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia, Alexander Keller

Proceedings of the IEEE Globecom 2022 Workshops, 2022

Deep Learning-Based Synchronization for Uplink NB-IoT.

Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller

Proceedings of the IEEE Global Communications Conference, 2022

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

Learning OFDM Waveforms with PAPR and ACLR Constraints.

Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce

CoRR, 2021

Toward a 6G AI-Native Air Interface.

Jakob Hoydis, Fayçal Ait Aoudia, Alvaro Valcarce, Harish Viswanathan

IEEE Commun. Mag., 2021

Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems.

Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning.

Fayçal Ait Aoudia, Jakob Hoydis

Proceedings of the IEEE International Conference on Communications Workshops, 2021

End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints.

Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping.

Fayçal Ait Aoudia, Jakob Hoydis

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

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

Towards a 6G AI-Native Air Interface.

Jakob Hoydis, Fayçal Ait Aoudia, Alvaro Valcarce, Harish Viswanathan

CoRR, 2020

Deep HyperNetwork-Based MIMO Detection.

Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 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

Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems.

Fayçal Ait Aoudia, Jakob Hoydis

Proceedings of the IEEE Global Communications Conference, 2020

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, Mikael Mazur, Juan I. Bonetti, Riccardo Veronese, Hanzi Huang, Ankit Gupta, Fayçal Aït Aoudia, Ellsworth C. Burrows, Diego F. Grosz, Luca Palmieri, Mathini Sellathurai, Xi Chen, Nicolas K. Fontaine, Haoshuo Chen

Proceedings of the European Conference on Optical Communications, 2020

2019

Model-Free Training of End-to-End Communication Systems.

Fayçal Ait Aoudia, Jakob Hoydis

IEEE J. Sel. Areas Commun., 2019

Deep Reinforcement Learning Autoencoder with Noisy Feedback.

Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis

Proceedings of the International Symposium on Modeling and Optimization in Mobile, 2019

Towards Hardware Implementation of Neural Network-based Communication Algorithms.

Fayçal Ait Aoudia, Jakob Hoydis

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Joint Learning of Geometric and Probabilistic Constellation Shaping.

Maximilian Stark, Fayçal Ait Aoudia, Jakob Hoydis

Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

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

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

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

Feature Selection Framework for Multi-Source Energy Harvesting Wireless Sensor Networks.

Marwa Kazdoghli Lagha, Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder

Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

End-to-End Learning of Communications Systems Without a Channel Model.

Fayçal Ait Aoudia, Jakob Hoydis

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

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

PhD thesis, 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

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

Learning to survive: Achieving energy neutrality in wireless sensor networks using reinforcement learning.

Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder

Proceedings of the IEEE International Conference on Communications, 2017

WULoRa: An energy efficient IoT end-node for energy harvesting and heterogeneous communication.

Michele Magno, Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder, Luca Benini

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016

OPWUM: Opportunistic MAC Protocol Leveraging Wake-Up Receivers in WSNs.

Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder

J. Sensors, 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

Proceedings of the Sensor Systems and Software - 7th International Conference, S-Cube 2016, 2016

Poster Abstract: Wake-Up Receivers for Energy Efficient and Low Latency Communication.

Fayçal Ait Aoudia, Michele Magno, Matthieu Gautier, Olivier Berder, Luca Benini

Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

Fuzzy power management for energy harvesting Wireless Sensor Nodes.

Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder

Proceedings of the 2016 IEEE International Conference on Communications, 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

Proceedings of the 2016 IEEE Global Communications Conference, 2016

Analytical and Experimental Evaluation of Wake-Up Receivers Based Protocols.

Fayçal Ait Aoudia, Michele Magno, Matthieu Gautier, Olivier Berder, Luca Benini

Proceedings of the 2016 IEEE Global Communications Conference, 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

Proceedings of the 2016 Euromicro Conference on Digital System Design, 2016

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

Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing (DASIP), 2016

2015

GRAPMAN: Gradual power manager for consistent throughput of energy harvesting wireless sensor nodes.

Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder

Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015