activity
20182022
most citedSpectrum Surveying: Active Radio Map Estimation with Autonomous UAVs

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing eess.SPShow all

8 papers · 1 filter

eess.SP20222 cited

Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs

Raju Shrestha, Daniel Romero, Sundeep Prabhakar Chepuri

Radio maps find numerous applications in wireless communications and mobile robotics tasks, including resource allocation, interference coordination, and mission planning. Although…

eess.SP2020

Aerial Spectrum Surveying: Radio Map Estimation with Autonomous UAVs

Daniel Romero, Raju Shrestha, Yves Teganya +1

Radio maps are emerging as a popular means to endow next-generation wireless communications with situational awareness. In particular, radio maps are expected to play a central rol…

eess.SP2019

Data-Driven Spectrum Cartography via Deep Completion Autoencoders

Yves Teganya, Daniel Romero

Spectrum maps, which provide RF spectrum metrics such as power spectral density for every location in a geographic area, find numerous applications in wireless communications such…

eess.SP2019

Fast Decentralized Linear Functions via Successive Graph Shift Operators

Siavash Mollaebrahim, Daniel Romero, Baltasar Beferull-Lozano

We study decentralized designing of the graph shift operators to implement linear transformations between graph signals. Since this operator captures the local structure of the gra…

eess.SP2019

Non-cooperative Aerial Base Station Placement via Stochastic Optimization

Daniel Romero, Geert Leus

Autonomous unmanned aerial vehicles (UAVs) with on-board base station equipment can potentially provide connectivity in areas where the terrestrial infrastructure is overloaded, da…

eess.SP2019

Online Topology Identification from Vector Autoregressive Time Series

Bakht Zaman, Luis Miguel Lopez Ramos, Daniel Romero +1

Causality graphs are routinely estimated in social sciences, natural sciences, and engineering due to their capacity to efficiently represent the spatiotemporal structure of multiv…