most citedGeo2SigMap: High-Fidelity RF Signal Mapping Using Geographic Databases

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2024

Semi-Automatic Line-System Provisioning with Integrated Physical-Parameter-Aware Methodology: Field Verification and Operational Feasibility

Hideki Nishizawa, Giacomo Borraccini, Takeo Sasai +17

We propose methods and an architecture to conduct measurements and optimize newly installed optical fiber line systems semi-automatically using integrated physics-aware technologie…

cs.RO2024

RadCloud: Real-Time High-Resolution Point Cloud Generation Using Low-Cost Radars for Aerial and Ground Vehicles

David Hunt, Shaocheng Luo, Amir Khazraei +4

In this work, we present RadCloud, a novel real time framework for directly obtaining higher-resolution lidar-like 2D point clouds from low-resolution radar frames on resource-cons…

cs.NI2024

Design and Testbed Deployment of Frequency-Domain Equalization Full Duplex Radios

Manav Kohli, Mahmood Baraani Dastjerdi, Jin Zhou +4

Full-duplex (FD) wireless can significantly enhance spectrum efficiency but requires effective self-interference (SI) cancellers. RF SI cancellation (SIC) via frequency-domain equa…

eess.SP20242 cited

Geo2SigMap: High-Fidelity RF Signal Mapping Using Geographic Databases

Yiming Li, Zeyu Li, Zhihui Gao +1

Radio frequency (RF) signal mapping, which is the process of analyzing and predicting the RF signal strength and distribution across specific areas, is crucial for cellular network…

cs.NI20231 cited

Self-Normalizing Neural Network, Enabling One Shot Transfer Learning for Modeling EDFA Wavelength Dependent Gain

Agastya Raj, Zehao Wang, Frank Slyne +3

We present a novel ML framework for modeling the wavelength-dependent gain of multiple EDFAs, based on semi-supervised, self-normalizing neural networks, enabling one-shot transfer…