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20152024
most citedDistributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors

863 citations · 2.8k across the 53 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

eess.AS2018

A multi-layered energy consumption model for smart wireless acoustic sensor networks

Gert Dekkers, Fernando Rosas, Steven Lauwereins +6

Smart sensing is expected to become a pervasive technology in smart cities and environments of the near future. These services are improving their capabilities due to integrated de…

cs.NI2018

Electrosense+: Crowdsourcing Radio Spectrum Decoding using IoT Receivers

Roberto Calvo-Palomino, Héctor Cordobés, Markus Engel +9

Web spectrum monitoring systems based on crowdsourcing have recently gained popularity. These systems are however limited to applications of interest for governamental organization…

eess.SP2018★ 5 cited

SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features

Sreeraj Rajendran, Wannes Meert, Vincent Lenders +1

Detecting anomalous behavior in wireless spectrum is a demanding task due to the sheer complexity of the electromagnetic spectrum use. Wireless spectrum anomalies can take a wide r…

cs.NI2018

Energy-Constrained UAV Trajectory Design for Ground Node Localization

Hazem Sallouha, Mohammad Mahdi Azari, Sofie Pollin

The use of aerial anchors for localizing terrestrial nodes has recently been recognized as a cost-effective, swift and flexible solution for better localization accuracy, providing…

cs.NI2018★ 196 cited

Cellular Connectivity for UAVs: Network Modeling, Performance Analysis and Design Guidelines

Mohammad Mahdi Azari, Fernando Rosas, Sofie Pollin

The growing use of aerial user equipments (UEs) in various applications requires ubiquitous and reliable connectivity for safe control and data exchange between these devices and g…

eess.SP2018★ 68 cited

Finite Large Antenna Arrays for Massive MIMO: Characterization and System Impact

Cheng-Ming Chen, Vladimir Volski, Liesbet Van der Perre +2

Massive MIMO is considered a key technology for 5G. Various studies analyze the impact of the number of antennas, relying on channel properties only and assuming uniform antenna ga…