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Millimeter Wave Massive Arrays enabling RFID/Radar Applications on 5G Smartphones

Total Cost €


EC-Contrib. €






 MAPS project word cloud

Explore the words cloud of the MAPS project. It provides you a very rough idea of what is the project "MAPS" about.

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Project "MAPS" data sheet

The following table provides information about the project.


Organization address
address: RUE LEBLANC 25
city: PARIS 15
postcode: 75015

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 129˙807 €
 EC max contribution 129˙807 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-07-20   to  2017-01-19


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Nowadays, a rising interest is moving towards the fifth generation (5G) of wireless mobile communication, as numerous devices and different heterogeneous networks will be interconnected, guaranteeing zero-distance connectivity between people, devices and objects. To deal with the ever increasing data traffic demand and the low power consumption requirements in the perspective of a sustainable growth, smart solutions have to provide energy- and cost-efficient services. In this context, the massive antenna arrays deployment in base stations, access points or smartphones, appears like a viable solution to meet these new challenges. Besides communication, the availability of such a technology can also allow other interesting applications such as accurate simultaneous localization and mapping (SLAM) performed by a personal radar integrated in smartphones, enabling new services in the device-to-device communication. In addition, the interrogation of tagged objects placed in the environment through radiofrequency identification (RFID) technology will allow a mapping of the real world into the internet space, enabling environment-related applications and constitute the so called smart space within the Internet of Things concept. Moreover, the reduced wavelength at millimeter-waves (mmW) paves the way for packing a large number of antenna elements into a small area, overcoming the difficult integration of laser-based or mechanical steering devices into mobiles. In this context, the project addresses in a unified framework the problem of achieving environment 3D mapping and objects identification by means of massive antenna arrays embedded on smartphones, which have the capability to learn from the environment and consequently continuously improving their performance. An offline-demo, exploiting real measured data performed during the project, will be realized in order to show the main achievements and performance guaranteed by the proposed system.


year authors and title journal last update
List of publications.
2016 Nicolo Decarli, Francesco Guidi, Davide Dardari
Passive UWB RFID for Tag Localization: Architectures and Design
published pages: 1385-1397, ISSN: 1530-437X, DOI: 10.1109/JSEN.2015.2497373
IEEE Sensors Journal 16/5 2019-07-24
2016 Francesco Guidi, Anna Guerra, Davide Dardari
Personal Mobile Radars with Millimeter-Wave Massive Arrays for Indoor Mapping
published pages: , ISSN: 1536-1233, DOI: 10.1109/TMC.2015.2467373
IEEE Transactions on Mobile Computing 2019-07-24
2016 Francesco Guidi, Anna Guerra, Davide Dardari, Antonio Clemente, Raffaele D\'Errico
Joint Energy Detection and Massive Arrays Design for Localization and Mapping
published pages: 1-1, ISSN: 1536-1276, DOI: 10.1109/TWC.2016.2627032
IEEE Transactions on Wireless Communications 2019-07-24
2016 Francesco Guidi, Nicolo Decarli, Davide Dardari, Federico Natali, Enrico Savioli, Marco Bottazzi
A Low Complexity Scheme for Passive UWB-RFID: Proof of Concept
published pages: 676-679, ISSN: 1089-7798, DOI: 10.1109/LCOMM.2016.2530658
IEEE Communications Letters 20/4 2019-07-24

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The information about "MAPS" are provided by the European Opendata Portal: CORDIS opendata.

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