51 citations · 145 across the 21 of their papers we have counts for
24 papers
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation
Tengchan Zeng, Aidin Ferdowsi, Omid Semiari +2
Connected and autonomous vehicles (CAVs) can reduce human errors in traffic accidents, increase road efficiency, and execute various tasks ranging from delivery to smart city surve…
Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning
Mohammad Aghapour, Aidin Ferdowsi, Walid Saad
In federated learning (FL), a machine learning model is trained on multiple nodes in a decentralized manner, while keeping the data local and not shared with other nodes. However,…
Deep Learning for Rain Fade Prediction in Satellite Communications
Aidin Ferdowsi, David Whitefield
Line of sight satellite systems, unmanned aerial vehicles, high-altitude platforms, and microwave links that operate on frequency bands such as Ka-band or higher are extremely susc…
AoI-minimizing Scheduling in UAV-relayed IoT Networks
Biplav Choudhury, Vijay K. Shah, Aidin Ferdowsi +2
Due to flexibility, autonomy and low operational cost, unmanned aerial vehicles (UAVs), as fixed aerial base stations, are increasingly being used as \textit{relays} to collect tim…
Reinforcement Learning for Deceiving Reactive Jammers in Wireless Networks
Ali Pourranjbar, Georges Kaddoum, Aidin Ferdowsi +1
Conventional anti-jamming method mostly rely on frequency hopping to hide or escape from jammer. These approaches are not efficient in terms of bandwidth usage and can also result…
Distributed Generative Adversarial Networks for mmWaveChannel Modeling in Wireless UAV Networks
Qianqian Zhang, Aidin Ferdowsi, Walid Saad
In this paper, a novel framework is proposed to enable air-to-ground channel modeling over millimeter wave (mmWave) frequencies in an unmanned aerial vehicle (UAV) wireless network…