Search Results for author: Sofie Pollin

Found 12 papers, 3 papers with code

Drone technology: interdisciplinary systematic assessment of knowledge gaps and potential solutions

no code implementations14 Oct 2021 Evgenii Vinogradov, Sofie Pollin

Despite being a hot research topic for a decade, drones are still not part of our everyday life.

Avoiding normalization uncertainties in deep learning architectures for end-to-end communication

no code implementations16 Jul 2021 Simon Bos, Evgenii Vinogradov, Sofie Pollin

Recently, deep learning is considered to optimize the end-to-end performance of digital communication systems.

Towards Fine-Grained Indoor Localization based on Massive MIMO-OFDM System: Experiment and Analysis

no code implementations27 Mar 2021 Chenglong Li, Sibren De Bast, Emmeric Tanghe, Sofie Pollin, Wout Joseph

On top of the available MPCs, we propose a generalized fingerprinting system based on different single-metric and hybrid-metric schemes.

Indoor Localization

Edge Computing Assisted Autonomous Flight for UAV: Synergies between Vision and Communications

no code implementations10 Dec 2020 Quan Chen, Hai Zhu, Lei Yang, Xiaoqian Chen, Sofie Pollin, Evgenii Vinogradov

By proposing a framework of Edge Computing Assisted Autonomous Flight (ECAAF), we illustrate that vision and communications can interact with and assist each other with the aid of edge computing and offloading, and further speed up the UAV mission completion.

Edge-computing Trajectory Planning Networking and Internet Architecture Robotics Systems and Control Systems and Control

Massive MIMO goes Sub-GHz: Implementation and Experimental Exploration for LPWANs

no code implementations3 Dec 2020 Gilles Callebaut, Sara Gunnarsson, Andrea P. Guevara, Fredrik Tufvesson, Sofie Pollin, Liesbet Van der Perre, Anders J Johansson

The assessment demonstrates the effect of channel hardening as well as the potential benefits of the experienced array gain.

Drone classification from RF fingerprints using deep residual nets

no code implementations27 Nov 2020 Sanjoy Basak, Sreeraj Rajendran, Sofie Pollin, Bart Scheers

With the help of a newly proposed residual Convolutional Neural Network (CNN) model, we show that the drone RF frequency signatures can be used for effective classification.

Classification General Classification

3D beamforming and handover analysis for UAV networks

no code implementations7 Oct 2020 Achiel Colpaert, Evgenii Vinogradov, Sofie Pollin

In future drone applications fast moving unmanned aerial vehicles (UAVs) will need to be connected via a high throughput ultra reliable wireless link.

Spectrum Sharing Strategies for UAV-to-UAV Cellular Communications

no code implementations18 Aug 2020 M. Mahdi Azari, Giovanni Geraci, Adrian Garcia-Rodriguez, Sofie Pollin

In this article, we consider a cellular network deployment where UAV-to-UAV (U2U) transmit-receive pairs coexist with the uplink (UL) of cellular ground users (GUEs).

A Blind Beam Tracking Scheme for Millimeter Wave Systems

no code implementations19 Jun 2020 Steve Blandino, Thibault Bertrand, Claude Desset, Andre Bourdoux, Sofie Pollin

Millimeter-wave is one of the technologies powering the new generation of wireless communication systems.

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

1 code implementation17 Dec 2018 Gert Dekkers, Fernando Rosas, Steven Lauwereins, Sreeraj Rajendran, Sofie Pollin, Bart Vanrumste, Toon van Waterschoot, Marian Verhelst, Peter Karsmakers

This model provides a first step of exploration prior to custom design of a smart wireless acoustic sensor, and also can be used to compare the energy consumption of different protocols.

SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features

1 code implementation22 Jul 2018 Sreeraj Rajendran, Wannes Meert, Vincent Lenders, Sofie Pollin

Detecting anomalous behavior in wireless spectrum is a demanding task due to the sheer complexity of the electromagnetic spectrum use.

Anomaly Detection

Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors

1 code implementation27 Jul 2017 Sreeraj Rajendran, Wannes Meert, Domenico Giustiniano, Vincent Lenders, Sofie Pollin

We show that a LSTM based model can learn good representations of variable length time domain sequences, which is useful in classifying modulation signals with different symbol rates.

Networking and Internet Architecture

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