MAPS · Millimeter Wave Massive Arrays enabling RFID/Radar Applications on 5G Smartphones
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2015-07-20 → 2017-01-19
- EU contribution
- €129,807
- Participants
- 1
- Scheme
- MSCA-IF-EF-ST
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Results in brief
Millimeter Wave Massive Arrays enabling RFID/Radar Applications on 5G Smartphones
A rising interest is moving towards the next 5G wireless mobile communication, as numerous devices and different heterogeneous networks will be interconnected, with an increased data traffic demand at an unprecedented scale. In this context, MAPS aims to exploit the joint use of mm-wave and massive array technologies for packing a large number of antenna elements into a small area, i.e., a smartphone, thus enabling the opportunity for a user to automatically reconstruct the surrounding environment as well as to identify and localize surrounding tagged objects (see Fig-Scenario). MAPS objectives can be summarized as follows: • Investigation of the real capabilities of mm-wave massive arrays; • Models assessment for propagation and backscattering from objects in indoor environments at mm-wave; • Development of personal radar using mm-wave massive arrays, able to detect, self-localize and localize objects in the environment; • Development of mm-wave passive radio-frequency identification (RFID) using massive arrays; • Development of environment-learning radar algorithms exploiting massive arrays capabilities; • Merging of mm-wave, massive arrays, personal radar and RFID technologies in a unique network. Within ten years, thanks to the available technologies, the personal radar could be embedded in portable devices enabling automatic indoor environment mapping with a potential impact similar to that of outdoor mapping technologies. ● Conclusions of the Action A new mm-wave backscattering channel model was proposed through an ad-hoc measurement campaign, which was successively exploited to validate the proposed localization and mapping algorithms. Then, fundamental localization limits were derived by accounting for the presence of a single-anchor equipped with a massive array performing beamsteeering. Furthermore, the possibility to exploit mm-wave RFID capabilities was investigated by considering also real measured data. Finally, the main achievements from the all work packages (WPs) have been put together into a unique network enabling object and tags detection and localization. Main MAPS results were published in highly recognized journals and conferences.
Data: CORDIS, © European Union
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.
Original text from CORDIS.
Participants
- COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES · ParisCoordinatorFrance
Links
Data: CORDIS, © European Union