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Broad Beam Reflection for RIS-Assisted MIMO Systems with Planar Arrays
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0002-8822-6412
Ericsson Networks, Stockholm, Sweden.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0002-5954-434x
2023 (English)In: Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023, Institute of Electrical and Electronics Engineers (IEEE) , 2023, p. 504-508Conference paper, Published paper (Refereed)
Abstract [en]

While reconfigurable intelligent surface (RIS)-aided user-specific beamforming has been vastly investigated, the aspect of utilizing RISs for assisting cell-specific transmission has been largely unattended. Aiming to fill this gap, we study a downlink broadcasting scenario where a base station (BS) sends a cell-specific signal to all the users located in a wide angular area with the assistance of a dual-polarized RIS. We utilize the polarization degree of freedom offered by this type of RIS and design the phase configurations in the two polarizations in such a way that the RIS can radiate a broad beam, thereby uniformly covering all azimuth and elevation angles where the users might reside. Specifically, the per-polarization configuration matrices are designed in such a way that the total power-domain array factor becomes spatially flat over all observation angles implying that the RIS can preserve the broad radiation pattern of a single element while boosting its gain proportionally to its aperture size. We validate the mathematical analyses via numerical simulations.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023. p. 504-508
Keywords [en]
Dual-polarized beamforming, Golay complementary pairs, power-domain array factor
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-350245DOI: 10.1109/IEEECONF59524.2023.10477020ISI: 001207755100090Scopus ID: 2-s2.0-85190376743OAI: oai:DiVA.org:kth-350245DiVA, id: diva2:1883621
Conference
57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023, October 29 - November 1, 2023, Pacific Grove, United States of America
Note

Part of ISBN 9798350325744

QC 20241023

Available from: 2024-07-11 Created: 2024-07-11 Last updated: 2024-10-23Bibliographically approved

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Ramezani, ParisaBjörnson, Emil

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