activity
20092023
most citedPerformance, Power, and Area Design Trade-offs in Millimeter-Wave Transmitter Beamforming Architectures

95 citations · 695 across the 73 of their papers we have counts for

collaborators

81 papers

eess.SP2023

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…

eess.SP2023

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…

eess.SP2023★ 1 cited

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…

cs.NI2023

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…

cs.NI2023

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…

eess.SP2023★ 1 cited

GAN-RXA: A Practical Scalable Solution to Receiver-Agnostic Transmitter Fingerprinting

Tianyi Zhao, Shamik Sarkar, Enes Krijestorac +1

Radio frequency fingerprinting has been proposed for device identification. However, experimental studies also demonstrated its sensitivity to deployment changes. Recent works have…