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Special Issue "Massive MIMO Systems for High-Resolution Localization, Radar, and Imaging Systems: State-of-the Art, Perspectives and Applications"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".

Deadline for manuscript submissions: 22 June 2022.

Special Issue Editor

Dr. Davy Gaillot
E-Mail Website
Guest Editor
Institute of Electronics, Microelectronics and Nanotechnology (IEMN), University of Lille I, IEMN, Villeneuve d’Ascq, France
Interests: MIMO radio channel; high-resolution estimators; localization

Special Issue Information

Dear Colleagues,

Massive MIMO has emerged as one of the most promising physical-layer technologies and cornerstone for 5G and beyond wireless systems. The association of large antenna array and smart pre-processing promises to deliver superior system improvement with improved spectral efficiency, achieved by spatial multiplexing and better energy efficiency, exploiting array gain and reducing the radiated power. While massive MIMO is expected to fill the gap for 5G use-cases like industrial IoT (Internet of Things) and V2X communications (Vehicle-to-Everything), it is considered more generally as a key enabler technology in intelligent transportation systems to localize connected users with high accuracy. This special issue focuses on the development and validation of massive MIMO-based localization, imaging and radar techniques for 5G networks. The scientific and engineering challenges that arise not only from the hardware and software architecture but also from the complexity and modeling of the radio propagation channel are yet to be fully addressed. A broader aim is to collect together high-quality papers from researchers working in this area with the aim of presenting the state-of-the art, advances and outlook in this field. Another goal is to identify and demonstrate innovative solutions that can be transferred in existing or future cellular networks.

Dr. Davy Gaillot
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • High-accuracy localization techniques with Massive MIMO systems
  • Radio channel modeling and measurements with Massive MIMO systems
  • Simultaneous and Localization and Mapping techniques with Massive MIMO systems
  • Development of real-time radar techniques with Massive MIMO systems
  • Millimeter wave localization with Massive MIMO systems
  • Detection, localization, and tracking of vehicles with Massive MIMO systems

Published Papers (1 paper)

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Performance Limits of Direct Wideband Coherent 3D Localization in Distributed Massive MIMO Systems
Sensors 2021, 21(10), 3401; - 13 May 2021
Viewed by 597
We address the accuracy of wideband direct position estimation of a radio transmitter via a distributed antenna array in 5G cellular systems. Our derivations are based only on the presence of spatially coherent line-of-sight (LoS) signal components, which is a realistic assumption in [...] Read more.
We address the accuracy of wideband direct position estimation of a radio transmitter via a distributed antenna array in 5G cellular systems. Our derivations are based only on the presence of spatially coherent line-of-sight (LoS) signal components, which is a realistic assumption in small cells, especially in the mmWave range. The system model considers collocated time and phase synchronized receiving front-ends with antennas distributed in 3D space at known locations and connected to the front-ends via calibrated coaxial cables or analog radio-frequency-over-fiber links. Furthermore, the signal model assumes spherical wavefronts. We derive the Cramér-Rao bounds (CRBs) for two implementations of the system: with (a) known signals and (b) random Gaussian signals. The results show how the bounds depend on the carrier frequency, number of samples used for estimation, and signal-to-noise ratios. They also show that increasing the number of antennas (such as in massive MIMO systems) considerably improves the accuracy and lowers the signal-to-noise threshold for localization even for non-cooperative transmitters. Finally, our derivations show that the square roots of the bounds are two to three orders of magnitude below the carrier wavelength for realistic system parameters. Full article
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