Fayçal Ait Aoudia

Orcid: 0000-0003-2723-6171

According to our database1, Fayçal Ait Aoudia authored at least 46 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Learning Radio Environments by Differentiable Ray Tracing.
CoRR, 2023

Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling.
Proceedings of the IEEE Globecom Workshops 2023, 2023

A Neural Receiver for 5G NR Multi-User MIMO.
Proceedings of the IEEE Globecom Workshops 2023, 2023

2022
End-to-End Learning for OFDM: From Neural Receivers to Pilotless Communication.
IEEE Trans. Wirel. Commun., 2022

Waveform Learning for Next-Generation Wireless Communication Systems.
IEEE Trans. Commun., 2022

Sionna: An Open-Source Library for Next-Generation Physical Layer Research.
CoRR, 2022

Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier.
CoRR, 2022

Convolutional Self-Attention-Based Multi-User MIMO Demapper.
Proceedings of the IEEE International Conference on Communications, 2022

Graph Neural Networks for Channel Decoding.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

Deep Learning-Based Synchronization for Uplink NB-IoT.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Machine Learning for MU-MIMO Receive Processing in OFDM Systems.
IEEE J. Sel. Areas Commun., 2021

Learning OFDM Waveforms with PAPR and ACLR Constraints.
CoRR, 2021

Toward a 6G AI-Native Air Interface.
IEEE Commun. Mag., 2021

Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems.
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.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints.
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.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020
Trainable Communication Systems: Concepts and Prototype.
IEEE Trans. Commun., 2020

Towards a 6G AI-Native Air Interface.
CoRR, 2020

Deep HyperNetwork-Based MIMO Detection.
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.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems.
Proceedings of the IEEE Global Communications Conference, 2020

Increased Reach of Long-Haul Transmission using a Constant-Power 4D Format Designed Using Neural Networks.
Proceedings of the European Conference on Optical Communications, 2020

2019
Model-Free Training of End-to-End Communication Systems.
IEEE J. Sel. Areas Commun., 2019

Deep Reinforcement Learning Autoencoder with Noisy Feedback.
Proceedings of the International Symposium on Modeling and Optimization in Mobile, 2019

Towards Hardware Implementation of Neural Network-based Communication Algorithms.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Joint Learning of Geometric and Probabilistic Constellation Shaping.
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.
IEEE Trans. Green Commun. Netw., 2018

Leveraging Energy Harvesting and Wake-Up Receivers for Long-Term Wireless Sensor Networks.
Sensors, 2018

Long-short range communication network leveraging LoRa™ and wake-up receiver.
Microprocess. Microsystems, 2018

Feature Selection Framework for Multi-Source Energy Harvesting Wireless Sensor Networks.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

End-to-End Learning of Communications Systems Without a Channel Model.
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).
PhD thesis, 2017

Distributed Computation of Fair Packet Rates in Energy Harvesting Wireless Sensor Networks.
IEEE Wirel. Commun. Lett., 2017

A Generic Framework for Modeling MAC Protocols in Wireless Sensor Networks.
IEEE/ACM Trans. Netw., 2017

Learning to survive: Achieving energy neutrality in wireless sensor networks using reinforcement learning.
Proceedings of the IEEE International Conference on Communications, 2017

WULoRa: An energy efficient IoT end-node for energy harvesting and heterogeneous communication.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016
OPWUM: Opportunistic MAC Protocol Leveraging Wake-Up Receivers in WSNs.
J. Sensors, 2016

SNW-MAC: An Asynchronous Protocol Leveraging Wake-Up Receivers for Data Gathering in Star Networks.
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.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

Fuzzy power management for energy harvesting Wireless Sensor Nodes.
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.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Analytical and Experimental Evaluation of Wake-Up Receivers Based Protocols.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

A Low Latency and Energy Efficient Communication Architecture for Heterogeneous Long-Short Range Communication.
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.
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.
Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015


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