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Stochastic array antenna figures-of-merit for quality-of-service-enhanced massive MIMO
Univ Twente, Netherlands.
Linköping University, Department of Science and Technology, Physics, Electronics and Mathematics. Linköping University, Faculty of Science & Engineering. Univ Twente, Netherlands.ORCID iD: 0000-0003-2101-4519
2024 (English)In: Electronics Letters, ISSN 0013-5194, E-ISSN 1350-911X, Vol. 60, no 2, article id e13064Article in journal (Refereed) Published
Abstract [en]

This paper shows that the signal-to-interference-plus-noise ratio (SINR) at a base station (BS) equipped with an arbitrary physical array antenna can be expressed as a function of two fundamental, stochastic figure of merits (FoMs): (I) the instantaneous effective gain (IEG) and (II) the beamforming-channel correlation (BCC). This result is achieved by applying a novel channel normalization approach using a reference array to preserve effects induced by the embedded element patterns of physical antenna elements. It is shown that both FoMs provide essential insights for quality-of-service (QoS)-based array antenna design by investigating their statistics for BSs applying full-digital (FD) zero forcing (ZF) beamforming. Various array designs are evaluated, and it is shown that arrays with higher IEGs and a reduced probability of low BCCs can increase the ergodic sum rate and reduce the need for scheduling. This paper shows that the signal-to-interference-plus-noise ratio at a base station equipped with an arbitrary physical array antenna can be expressed as a function of two fundamental figures-of-merit: (I) the instantaneous effective gain (IEG), and (II) the beamforming-channel correlation (BCC). Various array designs were evaluated and it is shown that arrays with higher IEGs and a reduced probability of low BCCs can increase the ergodic sum rate and reduce the need for scheduling.image

Place, publisher, year, edition, pages
WILEY , 2024. Vol. 60, no 2, article id e13064
Keywords [en]
antenna phased arrays; electromagnetic coupling; multiple-input-multiple-output communication
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-200683DOI: 10.1049/ell2.13064ISI: 001142423600001OAI: oai:DiVA.org:liu-200683DiVA, id: diva2:1835493
Note

Funding Agencies|ELLIIT Strategic Research [734798]; European Union's Marie Sklstrok;lodowska-Curie Research and Innovation Staff Exchange (RISE); ELLIIT strategic research environment ()

Available from: 2024-02-06 Created: 2024-02-06 Last updated: 2024-11-29

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Alayón Glazunov, Andrés
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