Ali Pourranjbar

IEEE Wirel. Commun. Lett., May, 2024

Leveraging Transformer Models for Anti-Jamming in Heavily Attacked UAV Environments.

[BibT_eX]

[DOI]

IEEE Open J. Commun. Soc., 2024

Machine learning empowered Modulation detection for OFDM-based signals.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Defense and Offence Strategies for Tactical Wireless Networks Using Recurrent Neural Networks.

[BibT_eX]

[DOI]

Simon Landry-pellerin

IEEE Trans. Veh. Technol., June, 2023

Recurrent-Neural-Network-Based Anti-Jamming Framework for Defense Against Multiple Jamming Policies.

[BibT_eX]

[DOI]

Walid Saad

IEEE Internet Things J., May, 2023

2022

Deceiving-Based Anti-Jamming Against Single-Tone and Multitone Reactive Jammers.

[BibT_eX]

[DOI]

Keyvan Aghababaiyan

IEEE Trans. Commun., 2022

2021

Reinforcement Learning for Deceiving Reactive Jammers in Wireless Networks.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2021

A Novel Distributed Multi-Agent Reinforcement Learning Algorithm Against Jamming Attacks.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2021

Jamming Pattern Recognition over Multi-Channel Networks: A Deep Learning Approach.

[BibT_eX]

[DOI]

Walid Saad

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

A Novel Distributed Algorithm for Phase Synchronization in Unmanned Aerial Vehicles.

[BibT_eX]

[DOI]

Mohammadamin Baniasadi

Aliazam Abbasfar

IEEE Commun. Lett., 2020

Collaborative Spectrum Sensing in Tactical Wireless Networks.

[BibT_eX]

[DOI]

Bryan Gingras