4 papers
Automated Spectrum Sensing and Analysis Framework
Rahil Gandotra, Ruoyu Sun, Mark Poletti +2
Spectrum sensing and analysis is crucial for a variety of reasons, including regulatory compliance, interference detection and mitigation, and spectrum resource planning and optimi…
AI-Driven Spectrum Occupancy Prediction Using Real-World Spectrum Measurements
Jiayu Mao, Ruoyu Sun, Mark Poletti +3
Spectrum occupancy prediction is a critical enabler for real-time and proactive dynamic spectrum sharing (DSS), as it can provide short-term channel availability information to sup…
LarS-Net: A Large-Scale Framework for Network-Level Spectrum Sensing
Hao Guo, Ruoyu Sun, Amir Hossein Fahim Raouf +3
As the demand of wireless communication continues to rise, the radio spectrum (a finite resource) requires increasingly efficient utilization. This trend is driving the evolution f…
Providing Differential Privacy for Federated Learning Over Wireless: A Cross-layer Framework
Jiayu Mao, Tongxin Yin, Aylin Yener +1
Federated Learning (FL) is a distributed machine learning framework that inherently allows edge devices to maintain their local training data, thus providing some level of privacy.…