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ORCIDFayçal Ait Aoudia
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Books and Theses
- 2017
[b1]Fayçal Ait Aoudia:
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). University of Rennes 1, France, 2017
Journal Articles
- 2022
- [j12]Fayçal Ait Aoudia
, Jakob Hoydis:
Waveform Learning for Next-Generation Wireless Communication Systems. IEEE Trans. Commun. 70(6): 3804-3817 (2022) - [j11]Fayçal Ait Aoudia, Jakob Hoydis:
End-to-End Learning for OFDM: From Neural Receivers to Pilotless Communication. IEEE Trans. Wirel. Commun. 21(2): 1049-1063 (2022) - 2021
- [j10]Jakob Hoydis, Fayçal Ait Aoudia, Alvaro Valcarce, Harish Viswanathan:
Toward a 6G AI-Native Air Interface. IEEE Commun. Mag. 59(5): 76-81 (2021) - [j9]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
Machine Learning for MU-MIMO Receive Processing in OFDM Systems. IEEE J. Sel. Areas Commun. 39(8): 2318-2332 (2021) - 2020
- [j8]Sebastian Cammerer, Fayçal Ait Aoudia, Sebastian Dörner, Maximilian Stark, Jakob Hoydis, Stephan ten Brink:
Trainable Communication Systems: Concepts and Prototype. IEEE Trans. Commun. 68(9): 5489-5503 (2020) - 2019
- [j7]Fayçal Ait Aoudia, Jakob Hoydis:
Model-Free Training of End-to-End Communication Systems. IEEE J. Sel. Areas Commun. 37(11): 2503-2516 (2019) - 2018
- [j6]Fayçal Ait Aoudia, Matthieu Gautier, Michele Magno, Mickaël Le Gentil, Olivier Berder, Luca Benini:
Long-short range communication network leveraging LoRa™ and wake-up receiver. Microprocess. Microsystems 56: 184-192 (2018) - [j5]Fayçal Ait Aoudia, Matthieu Gautier, Michele Magno, Olivier Berder, Luca Benini:
Leveraging Energy Harvesting and Wake-Up Receivers for Long-Term Wireless Sensor Networks. Sensors 18(5): 1578 (2018) - [j4]Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder:
RLMan: An Energy Manager Based on Reinforcement Learning for Energy Harvesting Wireless Sensor Networks. IEEE Trans. Green Commun. Netw. 2(2): 408-417 (2018) - 2017
- [j3]Fayçal Ait Aoudia, Matthieu Gautier, Michele Magno, Olivier Berder, Luca Benini:
A Generic Framework for Modeling MAC Protocols in Wireless Sensor Networks. IEEE/ACM Trans. Netw. 25(3): 1489-1500 (2017) - [j2]Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder:
Distributed Computation of Fair Packet Rates in Energy Harvesting Wireless Sensor Networks. IEEE Wirel. Commun. Lett. 6(5): 626-629 (2017) - 2016
- [j1]Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder:
OPWUM: Opportunistic MAC Protocol Leveraging Wake-Up Receivers in WSNs. J. Sensors 2016: 6263719:1-6263719:9 (2016)
Conference and Workshop Papers
- 2023
- [c28]Jakob Hoydis, Fayçal Ait Aoudia, Sebastian Cammerer, Merlin Nimier-David, Nikolaus Binder, Guillermo Marcus, Alexander Keller:
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling. GLOBECOM (Workshops) 2023: 317-321 - [c27]Sebastian Cammerer, Fayçal Aït Aoudia, Jakob Hoydis, Andreas Oeldemann, Andreas Roessler, Timo Mayer, Alexander Keller:
A Neural Receiver for 5G NR Multi-User MIMO. GLOBECOM (Workshops) 2023: 329-334 - 2022
- [c26]Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia, Alexander Keller:
Graph Neural Networks for Channel Decoding. GLOBECOM (Workshops) 2022: 486-491 - [c25]Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller:
Deep Learning-Based Synchronization for Uplink NB-IoT. GLOBECOM 2022: 1478-1483 - [c24]Athur Michon, Fayçal Ait Aoudia, K. Pavan Srinath:
Convolutional Self-Attention-Based Multi-User MIMO Demapper. ICC 2022: 2621-2626 - 2021
- [c23]Fayçal Ait Aoudia, Jakob Hoydis:
End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping. GLOBECOM (Workshops) 2021: 1-6 - [c22]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints. GLOBECOM (Workshops) 2021: 1-6 - [c21]Fayçal Ait Aoudia, Jakob Hoydis:
Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning. ICC Workshops 2021: 1-6 - [c20]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems. SPAWC 2021: 246-250 - 2020
- [c19]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:
Increased Reach of Long-Haul Transmission using a Constant-Power 4D Format Designed Using Neural Networks. ECOC 2020: 1-4 - [c18]Fayçal Ait Aoudia, Jakob Hoydis:
Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems. GLOBECOM 2020: 1-6 - [c17]Fayçal Ait Aoudia, Sebastian Cammerer, Sebastian Dörner, Maximilian Stark, Jakob Hoydis, Stephan ten Brink:
Extended Abstract: Deep Learning of the Physical Layer for BICM Systems. SiPS 2020: 1 - [c16]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis:
Deep HyperNetwork-Based MIMO Detection. SPAWC 2020: 1-5 - 2019
- [c15]Maximilian Stark, Fayçal Ait Aoudia, Jakob Hoydis:
Joint Learning of Geometric and Probabilistic Constellation Shaping. GLOBECOM Workshops 2019: 1-6 - [c14]Fayçal Ait Aoudia, Jakob Hoydis:
Towards Hardware Implementation of Neural Network-based Communication Algorithms. SPAWC 2019: 1-5 - [c13]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis:
Deep Reinforcement Learning Autoencoder with Noisy Feedback. WiOpt 2019: 1-6 - 2018
- [c12]Fayçal Ait Aoudia, Jakob Hoydis:
End-to-End Learning of Communications Systems Without a Channel Model. ACSSC 2018: 298-303 - [c11]Marwa Kazdoghli Lagha, Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder:
Feature Selection Framework for Multi-Source Energy Harvesting Wireless Sensor Networks. VTC Spring 2018: 1-5 - 2017
- [c10]Michele Magno, Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder, Luca Benini:
WULoRa: An energy efficient IoT end-node for energy harvesting and heterogeneous communication. DATE 2017: 1528-1533 - [c9]Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder:
Learning to survive: Achieving energy neutrality in wireless sensor networks using reinforcement learning. ICC 2017: 1-6 - 2016
- [c8]Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder:
Demo abstract: How fuzzy logic can enhance energy management in Wireless Sensor nodes equipped by energy harvesters and wake-up radios. DASIP 2016: 229-230 - [c7]Fayçal Ait Aoudia, Michele Magno, Matthieu Gautier, Olivier Berder, Luca Benini:
A Low Latency and Energy Efficient Communication Architecture for Heterogeneous Long-Short Range Communication. DSD 2016: 200-206 - [c6]Fayçal Ait Aoudia, Michele Magno, Matthieu Gautier, Olivier Berder, Luca Benini:
Analytical and Experimental Evaluation of Wake-Up Receivers Based Protocols. GLOBECOM 2016: 1-7 - [c5]Ti Nguyen-Ti, Matthieu Gautier, Pascal Scalart, Olivier Berder, Trung-Hien Nguyen, Fayçal Ait Aoudia:
Blind I/Q Imbalance Compensation for M-QAM Optical Coherent Systems Based on Pseudo-Rotation. GLOBECOM 2016: 1-6 - [c4]Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder:
Fuzzy power management for energy harvesting Wireless Sensor Nodes. ICC 2016: 1-6 - [c3]Fayçal Ait Aoudia, Michele Magno, Matthieu Gautier, Olivier Berder, Luca Benini:
Poster Abstract: Wake-Up Receivers for Energy Efficient and Low Latency Communication. IPSN 2016: 53:1-53:2 - [c2]Fayçal Ait Aoudia, Matthieu Gautier, Michele Magno, Olivier Berder, Luca Benini:
SNW-MAC: An Asynchronous Protocol Leveraging Wake-Up Receivers for Data Gathering in Star Networks. S-CUBE 2016: 3-14 - 2015
- [c1]Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder:
GRAPMAN: Gradual power manager for consistent throughput of energy harvesting wireless sensor nodes. PIMRC 2015: 954-959
Informal and Other Publications
- 2024
- [i26]Reinhard Wiesmayr, Sebastian Cammerer, Fayçal Aït Aoudia, Jakob Hoydis, Jakub Zakrzewski, Alexander Keller:
Design of a Standard-Compliant Real-Time Neural Receiver for 5G NR. CoRR abs/2409.02912 (2024) - 2023
- [i25]Jakob Hoydis, Fayçal Aït Aoudia, Sebastian Cammerer, Merlin Nimier-David, Nikolaus Binder, Guillermo Marcus, Alexander Keller:
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling. CoRR abs/2303.11103 (2023) - [i24]Jakob Hoydis, Fayçal Aït Aoudia, Sebastian Cammerer, Florian Euchner, Merlin Nimier-David, Stephan ten Brink, Alexander Keller:
Learning Radio Environments by Differentiable Ray Tracing. CoRR abs/2311.18558 (2023) - [i23]Sebastian Cammerer, Fayçal Aït Aoudia, Jakob Hoydis, Andreas Oeldemann, Andreas Roessler, Timo Mayer, Alexander Keller:
A Neural Receiver for 5G NR Multi-user MIMO. CoRR abs/2312.02601 (2023) - 2022
- [i22]Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Fayçal Ait Aoudia, Jakob Hoydis:
Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier. CoRR abs/2201.05524 (2022) - [i21]Athur Michon, Fayçal Ait Aoudia, K. Pavan Srinath:
Convolutional Self-Attention-Based Multi-User MIMO Demapper. CoRR abs/2201.11779 (2022) - [i20]Jakob Hoydis, Sebastian Cammerer, Fayçal Ait Aoudia, Avinash Vem, Nikolaus Binder, Guillermo Marcus, Alexander Keller:
Sionna: An Open-Source Library for Next-Generation Physical Layer Research. CoRR abs/2203.11854 (2022) - [i19]Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller:
Deep Learning-Based Synchronization for Uplink NB-IoT. CoRR abs/2205.10805 (2022) - [i18]Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia, Alexander Keller:
Graph Neural Networks for Channel Decoding. CoRR abs/2207.14742 (2022) - 2021
- [i17]Fayçal Ait Aoudia, Jakob Hoydis:
Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning. CoRR abs/2101.08213 (2021) - [i16]Fayçal Ait Aoudia, Jakob Hoydis:
End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping. CoRR abs/2106.15158 (2021) - [i15]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints. CoRR abs/2106.16039 (2021) - [i14]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems. CoRR abs/2106.16074 (2021) - [i13]Fayçal Ait Aoudia, Jakob Hoydis:
Waveform Learning for Next-Generation Wireless Communication Systems. CoRR abs/2109.00998 (2021) - [i12]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
Learning OFDM Waveforms with PAPR and ACLR Constraints. CoRR abs/2110.10987 (2021) - 2020
- [i11]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis:
Deep HyperNetwork-Based MIMO Detection. CoRR abs/2002.02750 (2020) - [i10]Fayçal Ait Aoudia, Jakob Hoydis:
Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems. CoRR abs/2004.05062 (2020) - [i9]Fayçal Ait Aoudia, Jakob Hoydis:
End-to-end Learning for OFDM: From Neural Receivers to Pilotless Communication. CoRR abs/2009.05261 (2020) - [i8]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
Machine Learning for MU-MIMO Receive Processing in OFDM Systems. CoRR abs/2012.08177 (2020) - [i7]Jakob Hoydis, Fayçal Ait Aoudia, Alvaro Valcarce, Harish Viswanathan:
Towards a 6G AI-Native Air Interface. CoRR abs/2012.08285 (2020) - 2019
- [i6]Fayçal Ait Aoudia, Jakob Hoydis:
Towards Hardware Implementation of Neural Network-based Communication Algorithms. CoRR abs/1902.06939 (2019) - [i5]Maximilian Stark, Fayçal Ait Aoudia, Jakob Hoydis:
Joint Learning of Geometric and Probabilistic Constellation Shaping. CoRR abs/1906.07748 (2019) - [i4]Sebastian Cammerer, Fayçal Ait Aoudia, Sebastian Dörner, Maximilian Stark, Jakob Hoydis, Stephan ten Brink:
Trainable Communication Systems: Concepts and Prototype. CoRR abs/1911.13055 (2019) - 2018
- [i3]Fayçal Ait Aoudia, Jakob Hoydis:
End-to-End Learning of Communications Systems Without a Channel Model. CoRR abs/1804.02276 (2018) - [i2]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis:
Deep Reinforcement Learning Autoencoder with Noisy Feedback. CoRR abs/1810.05419 (2018) - [i1]Fayçal Ait Aoudia, Jakob Hoydis:
Model-free Training of End-to-end Communication Systems. CoRR abs/1812.05929 (2018)
Coauthor Index
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