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Fayçal Ait Aoudia
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2020 – today
- 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
- [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 - [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
- [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
End-to-End Learning for OFDM: From Neural Receivers to Pilotless Communication. IEEE Trans. Wirel. Commun. 21(2): 1049-1063 (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 - [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
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
- [j10]Jakob Hoydis, Fayçal Ait Aoudia, Alvaro Valcarce
Toward a 6G AI-Native Air Interface. IEEE Commun. Mag. 59(5): 76-81 (2021) - [j9]Mathieu Goutay
Machine Learning for MU-MIMO Receive Processing in OFDM Systems. IEEE J. Sel. Areas Commun. 39(8): 2318-2332 (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 - [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
- [j8]Sebastian Cammerer
Trainable Communication Systems: Concepts and Prototype. IEEE Trans. Commun. 68(9): 5489-5503 (2020) - [c19]René-Jean Essiambre, Roland Ryf, Murali S. Kodialam, Bin 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
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 - [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)
2010 – 2019
- 2019
- [j7]Fayçal Ait Aoudia
Model-Free Training of End-to-End Communication Systems. IEEE J. Sel. Areas Commun. 37(11): 2503-2516 (2019) - [c15]Maximilian Stark
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 - [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
- [j6]Fayçal Ait Aoudia, Matthieu Gautier, Michele Magno
Long-short range communication network leveraging LoRa™ and wake-up receiver. Microprocess. Microsystems 56: 184-192 (2018) - [j5]Fayçal Ait Aoudia, Matthieu Gautier
Leveraging Energy Harvesting and Wake-Up Receivers for Long-Term Wireless Sensor Networks. Sensors 18(5): 1578 (2018) - [j4]Fayçal Ait Aoudia
RLMan: An Energy Manager Based on Reinforcement Learning for Energy Harvesting Wireless Sensor Networks. IEEE Trans. Green Commun. Netw. 2(2): 408-417 (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 - [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) - 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 - [j3]Fayçal Ait Aoudia
A Generic Framework for Modeling MAC Protocols in Wireless Sensor Networks. IEEE/ACM Trans. Netw. 25(3): 1489-1500 (2017) - [j2]Fayçal Ait Aoudia
Distributed Computation of Fair Packet Rates in Energy Harvesting Wireless Sensor Networks. IEEE Wirel. Commun. Lett. 6(5): 626-629 (2017) - [c10]Michele Magno
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
- [j1]Fayçal Ait Aoudia, Matthieu Gautier
OPWUM: Opportunistic MAC Protocol Leveraging Wake-Up Receivers in WSNs. J. Sensors 2016: 6263719:1-6263719:9 (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
A Low Latency and Energy Efficient Communication Architecture for Heterogeneous Long-Short Range Communication. DSD 2016: 200-206 - [c6]Fayçal Ait Aoudia, Michele Magno
Analytical and Experimental Evaluation of Wake-Up Receivers Based Protocols. GLOBECOM 2016: 1-7 - [c5]Ti Nguyen-Ti, Matthieu Gautier
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
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
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
Coauthor Index
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last updated on 2024-10-15 20:36 CEST by the dblp team
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