Search Results for author:
Found 5 papers, 0 papers with code
RadYOLOLet: Radar Detection and Parameter Estimation Using YOLO and WaveLet
Wavelet-CNN operates on continuous Wavelet transform of the captured signals, and we use it only when RadYOLO fails to detect any radar signal.
ProSpire: Proactive Spatial Prediction of Radio Environment Using Deep Learning
We carefully address several challenges in ProSpire, such as designing a framework that conveniently collects training data for learning, performing the predictions in a fast manner, enabling operations without an area map, and ensuring that the predictions do not lead to undesired interference.
GAN-RXA: A Practical Scalable Solution to Receiver-Agnostic Transmitter Fingerprinting
We also propose two deep-learning approaches (SD-RXA and GAN-RXA) in this first stage to improve the receiver-agnostic property of the RXA framework.
A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks
The proposed approach can also be integrated into our previously developed Lyapunov stochastic optimization framework for the purpose of network utility maximization with optimality guarantee.
Uncoordinated Spectrum Sharing in Millimeter Wave Networks Using Carrier Sensing
Using stochastic geometry, we develop a general framework for downlink coverage probability analysis of our shared mmWave network in the presence of CS and derive the downlink coverage probability expressions for several CS protocols.
Information Theory Networking and Internet Architecture Information Theory
