Projets de l'Unité

Channel Aware Localization for 5G Networks: The project general objective is to develop a localization system that will complement the 5G functionalities by delivering localization with one-meter accuracy together with an uncertainty indicator. This system will use anchor devices foreseen already for 5G networks: simple and cheap devices of known location that can be deployed to help the network infrastructure to localize efficiently.

List of persons in charge :
DE DONCKER Philippe
HORLIN François

List of lessors :
Feder
MUSE-WINET - MUlti-SErvice WIreless NETwork: Capitalizing on the paradigms of wireless network virtualization and slicing, and of densification promoted all across the wireless ecosystem, this project intends to investigate multi-service wireless networks (MUSE-WINETs) based on a common and shared infrastructure made of Cloud/Fog servers and radio heads equipped with large antenna arrays. The targeted wireless services significantly extend the concept of data transfer slicing, towards power transfer, positioning and wireless access to shared computational resources for cooperative sensing and IoT applications.

To enable the optimization of the performance jointly achievable for all radio and computational services, the project will investigate a cross (X)-service design paradigm. X- service design combines initial slicing of the resources for the different services, a cooperative management of the resources across services in view of their coupling, and inter-service message passing to exploit possible synergies between services.

The project intends to understand the performance trade-offs achievable with MUSE-WINETs and the synergies and inter-service fertilization originating from the X-service design, and to design optimized algorithms for the transceivers, the resource management, and the computational load distribution. This requires the setting up of proper stochastic analytical frameworks. The research questions will be instantiated to use cases and the answers illustrated and corroborated by prototype elements.

In MUSE-WINET, ULB-WCG will focus on the interplay existing between communication and positioning services supported by the network. While communications signals can serve as a reference to improve positioning of a terminal, the information on the location itself is interesting to enhance communications with the terminal.

List of persons in charge :
HORLIN François
DE DONCKER Philippe

List of lessors :
PAI
COPINE-IoT - Convergence of Power and Information Networks for Internet of Things Applications: Radio frequency (RF) energy harvesting is founded on the ability of converting the energy carried by an electromagnetic wave through the air into electrical energy at the point of use. Though the physics behind RF energy harvesting is extremely simple and clear, transposing these principles into marketable technological solutions poses challenging issues.

COPINE-IoT proposes the development of an original WPT technology in which the traditional wireless information gateways (IGs) are complemented with additional distributed and coordinated radiating elements, also referred to as remote power heads (RPHs). The RPHs shall be able of intercepting the flow of information from the wireless sensors to the IGs in order to enable the beamforming of the electromagnetic waves and sensors localization. The integration with the data communications system will permit the development of context-aware algorithms for energy management at the whole network scale.

ULB-WCG is responsible for the design of the indoor localization of the ultra-low power sensors based on the estimation of the communication signals angle-of-arrivals at the RPHs equipped with multiple antennas.

List of persons in charge :
HORLIN François
DE DONCKER Philippe

List of lessors :
Région bruxelloise
Secure Weapon System (SWS): SWS general objective is to increase safety in the use of weapons, by introducing new technologies.

List of persons in charge :
DE DONCKER Philippe
HORLIN François

List of lessors :
Région wallonne
Geostatistics for Electromagnetic Monitoring System (GEMS): The scientific objective of the GEMS project is to develop a distributed system for monitoring and analysis of wireless, 3G/4G and WiFi telecommunications networks.
Current monitoring methods based on drive-tests or walk-tests are very expensive in time and material, and only allow an analysis to be obtained at a given time and at certain measurement points. The GEMS system will allow a detailed analysis of coverage and performance over a long period of time (several days) and over the entire area under consideration.
In order to achieve this objective, two scientific challenges will have to be addressed:
- Developping new methods for mapping network parameters (in terms of power, interference, diversity, etc.) based on geostatistical techniques.
- Developping networks of sensors for monitoring networks. The objective is not to build the sensors, but to integrate existing solutions into a network that is easy to deploy on site.

List of persons in charge :
DE DONCKER Philippe

List of lessors :
Région wallonne
LUMINET - Smart streetlights for locating, tracking and classifying road users: The emergence of connected electronic devices has paved the way for the concept of "smart city". In the paradigm of smart cities, each electronic device becomes a miniature computing platform, equipped with multiple sensors and interacting with the infrastructure through wireless connectivity. In the context of smart cities, streetlights are a particularly coveted resource, for two reasons: (i) access to the power grid makes it possible to equip the lamp post with multiple sensors, without having to worry about consumption problems; (ii) the regular deployment of lampposts makes it possible to have a regular and repetitive mesh of the sensors.

This project will mainly study RF systems to locate, track and classify road users.
Each streetlight is equipped with wireless signal sensors (for detecting transmitters) as well as a radar system, providing each an independent estimate of the location of a user. The high density of streetlights provides access to numerous user location estimates, which can be combined using data fusion algorithms to achieve accurate positioning.

In this project, we propose to: (i) design algorithms to locate, track and classify users, making full use of the high density and multi-technology nature of
smart street lights; (ii) characterize the performances of these algorithms by simulations; (iii) validate the algorithms experimentally.

List of persons in charge :
DE DONCKER Philippe

List of lessors :
Région wallonne
Advanced MaPping of residential ExposuRE to RF-EMF sources (AMPERE): The AMPERE project aims to develop an advanced approach of spatio-temporal EMF exposure mapping by means of advanced statistical tools.
The spatial and temporal EMF distribution assessment can request long computation times, extensive measurements and data that are not always publicly available. The combination of EMF exposure, usage of ICT, population density and environment characteristics involved in the data fusion is therefore facing strong limitations. To overcome these latters, AMPERE will develop advanced methods based on statistics and surrogate models.

List of persons in charge :
DE DONCKER Philippe

List of lessors :
ANSES PNR EST
Multi-fidelity Intelligent Network System for Crowd Monitoring (MUFINS): An intelligent crowd monitoring system for large public events will be developed. The system will be based on a multi-fidelity approach: cellular networks will be used as large-scale coarse estimates of the crowd density, while Wifi access points deployed through the event area will provide small-scale estimations. By combining the two estimates, the system will be able (i) to provide crowd density and directional fluxes maps in real-time; (ii) to anticipate abnormal crowd movements, especially for safety issues, by learning crowd dynamics.

List of persons in charge :
DE DONCKER Philippe
HORLIN François

List of lessors :
Région bruxelloise
High Accuracy Terminal Positioning based on Emerging 5G Waveforms: Localization has recently become a key functionality in cellular networks to support position-based services. Current techniques used in 4G provide an estimate of the location using a two-step process. The signal time of arrival (ToA) from multiple base stations is first estimated using a dedicated positioning reference signal (PRS). The position is then determined based on the observed time difference of arrival (OTDoA) using a multilateration technique. However, rich multipath channels typical in urban or indoor environments highly degrade the ToA estimation resulting in significant location errors (20m to 50m). This problem is only partially addressed in the literature.

This project aims at developing a localization system for 5G networks delivering a high position accuracy in urban and indoor environments (error target of the order of the meter). The first phase of the project targets the development of ToA estimation schemes adapted to the new modulation formats foreseen for 5G. New reference signals will be designed to optimize the ToA estimation. The project will secondly investigate how the TDoA positioning multilateration algorithms can be improved for urban/indoor environments by exploiting the knowledge of the channel response acquired based on the reference signals. The last phase of the project investigates the possibility to iterate between the two successive steps generally applied when localizing a mobile terminal (ToA estimation/multilateration) to better take benefit from all the information present in the observed signals.

List of persons in charge :
DE DONCKER Philippe
HORLIN François

List of lessors :
FRIA
Crowd dynamics monitoring on mass events with Wi-Fi-based passive radars: Crowd monitoring technologies are receiving increased attention as they may help mass event organisers preventing disasters in real-time. They mainly aim at forecasting and physically limiting the crowd density at the critical points of the event. In this context, sensors of the crowd density and fluxes on the event are key ingredients.

This project aims at conceiving a new passive radar system operating by capturing and processing the signals transmitted by Wi-Fi base stations deployed on mass events to deliver data to the attendees. Groups of attendees will be tracked with the radar and their main features will be estimated.

The project will first address the conception of a passive radar based on emerging Wi-Fi communications signals. The radar accuracy gain achieved with the increased signal bandwidth will be explored. Two challenges coming with the Wi-Fi evolution will afterwards be thoroughly investigated: high order modulations that make the reference signal reconstruction more difficult, directive communications that hide part of the radar scene.

The project will secondly target the conception of algorithms for identifying and tracking groups of individuals on mass events based on the experimental exploration of their still unknown characteristics. The study will focus on tracking the features that are essential for the crowd monitoring and disaster prevention.

In parallel, an experimental setup based on up-to-date software radios will be constructed. The setup will support the design of the radar functionality all along the project based on real-life data acquired on Brussels events.

List of persons in charge :
HORLIN François

List of lessors :
FRIA
GEOHYPE - GEOcasting for HYPEr resolution spatial data focusing: Associating wireless information to certain physical locations is an interesting feature that many applications can benefit from. This capability is known as geocasting. Just like pictures are tagged with the location where they have been clicked, geocasting enables to tag a real physical location by wirelessly transmitting data that are only decodable within desired delimited areas. Thus, users can receive information related to the place where they are.

Consequently, GEOHYPE’s focus is to investigate physical solutions that enable the broadcasting of information to specific spatial locations, using limited infrastructures. From a scientific point of view, the problem is to find a way for a base station to wirelessly transmit data that are decodable only within desired areas. To do so at the physical layer, base stations have to exhibit spatial focusing capabilities. Multiple-Input Single-Output (MISO) architectures can be used for that purpose.
The goal is to focus the transmitted data rather than focusing the transmitted power as is usually done with beamforming technology. The idea is to process the precode the signalm in order to be decodable only at a predetermined spot.

List of persons in charge :
DE DONCKER Philippe
HORLIN François

List of lessors :
ANR

Mis à jour le 27 avril 2021