Tracking Position and Orientation Through Millimeter Wave Lens MIMO in 5G Systems
Journal article, 2019

Millimeter wave signals and large antenna arrays are considered enabling technologies for future 5G networks. Despite their benefits for achieving high data rate communications, their potential advantages for tracking of the location and rotation angle of the user terminals are not well investigated. A joint heuristic beam selection and user position and orientation tracking approach is proposed. First, the user location is tracked in the uplink by joint beam selection together with time-of-arrival (TOA) and angle-of-arrival (AOA) tracking at the base station (BS). Then, the user rotation angle is obtained using the location information by joint beam selection and tracking at the mobile station (MS). The beam selection, TOA and AOA tracking, at the BS and MS are performed during the data transmission phase. Numerical results demonstrate that the proposed method performs close to the estimated position and rotation angle in the training phase with reduced complexity and reduced number of required pilots for the estimation.

MIMO communication

5G mobile communication

lens arrays

Lenses

Uncertainty

Uplink

Mathematical model

heuristic beam selection

position and orientation tracking

5G networks

millimeter wave

Antenna arrays

Author

Arash Shahmansoori

University of Rennes 1

Bernard Uguen

University of Rennes 1

Giuseppe Destino

University of Oulu

Gonzalo Seco-Granados

Universitat Autonoma de Barcelona (UAB)

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Signal Processing Letters

1070-9908 (ISSN) 15582361 (eISSN)

Vol. 26 8 1222-1226 8752016

COPPLAR CampusShuttle cooperative perception & planning platform

VINNOVA (2015-04849), 2016-01-01 -- 2018-12-31.

High precision positioning for cooperative ITS applications

European Commission (EC) (EC/H2020/636537), 2015-01-01 -- 2017-12-31.

Subject Categories

Religious Studies

Telecommunications

Signal Processing

DOI

10.1109/LSP.2019.2925969

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4/5/2022 6