Array Configuration Effect on the Spatial Correlation of MU-MIMO Channels in NLoS Environments

N. Amani, A. Farsaei, U. Gustavsson, T. Eriksson, F.M.J. Willems, M.V. Ivashina, R. Maaskant

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

2 Citaten (Scopus)

Samenvatting

In this paper, three different base-station antenna (BSA) configurations are compared in terms of inter-user spatial correlation in a two dimensional (2D) non-line-of-sight (NLoS) environment. The three configurations are: (i) a regular uniform linear array (ULA); (ii) a periodic sparse array; and (iii) an aperiodic sparse array. Electromagnetic modeling of the NLoS channel is proposed where scatterers are considered as resonant dipoles confined in clusters of scatterers (CoSs). While the probability of facing highly correlated user-equipments (UEs) in a multi-user multiple-input multiple-output (MU-MIMO) system is decreasing as the richness of mutipath increases, the sparsity (increased inter-element spacing) is seen to be capable of reducing this probability as well. This is due to the larger spatial variations experienced by the sparse array. Moreover, the results show that further improvement can be achieved by deploying an aperiodic distribution of antenna elements into the sparse antenna aperture.

Originele taal-2Engels
Titel14th European Conference on Antennas and Propagation, EuCAP 2020
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's4
ISBN van elektronische versie978-88-31299-00-8
DOI's
StatusGepubliceerd - 8 jul. 2020
Evenement14th European Conference on Antennas and Propagation, EuCAP 2020 - Copenhagen, Copenhagen, Denemarken
Duur: 15 mrt. 202020 mrt. 2020
Congresnummer: 14
https://www.eucap2020.org/

Congres

Congres14th European Conference on Antennas and Propagation, EuCAP 2020
Verkorte titelEuCAP 2020
Land/RegioDenemarken
StadCopenhagen
Periode15/03/2020/03/20
Internet adres

Bibliografische nota

Funding Information:
ACKNOWLEDGMENT This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 721732.

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