17 citations · 20 across the 8 of their papers we have counts for
8 papers
Structured Two-Stage True-Time-Delay Array Codebook Design for Multi-User Data Communication
Aditya Wadaskar, Ding Zhao, Ibrahim Pehlivan +1
Wideband millimeter-wave and terahertz (THz) systems can facilitate simultaneous data communication with multiple spatially separated users. It is desirable to orthogonalize users…
Deep Learning Based Active Spatial Channel Gain Prediction Using a Swarm of Unmanned Aerial Vehicles
Enes Krijestorac, Danijela Cabric
Prediction of wireless channel gain (CG) across space is a necessary tool for many important wireless network design problems. In this paper, we develop prediction methods that use…
RadYOLOLet: Radar Detection and Parameter Estimation Using YOLO and WaveLet
Shamik Sarkar, Dongning Guo, Danijela Cabric
Detection of radar signals without assistance from the radar transmitter is a crucial requirement for emerging and future shared-spectrum wireless networks like Citizens Broadband…
REM-U-net: Deep Learning Based Agile REM Prediction with Energy-Efficient Cell-Free Use Case
Hazem Sallouha, Shamik Sarkar, Enes Krijestorac +1
Radio environment maps (REMs) hold a central role in optimizing wireless network deployment, enhancing network performance, and ensuring effective spectrum management. Conventional…
ProSpire: Proactive Spatial Prediction of Radio Environment Using Deep Learning
Shamik Sarkar, Dongning Guo, Danijela Cabric
Spatial prediction of the radio propagation environment of a transmitter can assist and improve various aspects of wireless networks. The majority of research in this domain can be…
Covariance-Based OFDM Spectrum Sensing with Sub-Nyquist Samples
Alireza Razavi, Mikko Valkama, Danijela Cabric
In this paper, we propose a feature-based method for spectrum sensing of OFDM signals from sub-Nyquist samples over a single band. We exploit the structure of the covariance matrix…