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Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.
Chalmers Univ Technol, Commun Syst, S-41296 Gothenburg, Sweden.;Eindhoven Univ Technol, Eindhoven, Netherlands..
Univ Bremen, Univ Bremen Excellence Chair Petar Popovski, Dept Commun Engn, D-28359 Bremen, Germany..
Aalborg Univ, Sect Connect, Aalborg, Denmark..
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2022 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 39, no 2, p. 135-158Article in journal (Refereed) Published
Abstract [en]

Antenna array technology enables the directional transmission and reception of wireless signals for communication, localization, and sensing purposes. The signal processing algorithms that underpin it began to be developed several decades ago [1], but it was with the deployment of 5G wireless mobile networks that the technology became mainstream [2]. The number of antenna elements in the arrays of 5G base stations (BSs) and user devices can be measured on the order of hundreds and tens, respectively. As networks shift toward using higher-frequency bands, more antennas fit into a given aperture. For communication purposes, the arrays are harnessed to form beams in desired directions to improve the signal-to-noise ratio (SNR) and multiplex data signals in the spatial domain (to one or multiple devices) and to suppress interference by spatial filtering [2]. For localization purposes, these arrays are employed to maintain the SNR when operating across wider bandwidths, for angle-of-arrival estimation, and to separate multiple sources and scatterers [3]. The practical use of these features requires that each antenna array is equipped with well-designed signal processing algorithms.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 39, no 2, p. 135-158
Keywords [en]
Wireless communication, Location awareness, Antenna measurements, Wireless sensor networks, Array signal processing, 5G mobile communication, Signal processing algorithms
National Category
Telecommunications Signal Processing Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-310237DOI: 10.1109/MSP.2021.3130549ISI: 000761217500019Scopus ID: 2-s2.0-85125713365OAI: oai:DiVA.org:kth-310237DiVA, id: diva2:1647247
Note

QC 20220325

Available from: 2022-03-25 Created: 2022-03-25 Last updated: 2024-03-15Bibliographically approved

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Björnson, Emil

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