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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2021

14.04.2021

A Partial CSI Estimation Approach for Downlink FDD massive-MIMO System with Different Base Transceiver Station Topologies

verfasst von: Marwah Abdulrazzaq Naser, Muntadher Qasim Alsabah, Montadar Abas Taher

Erschienen in: Wireless Personal Communications | Ausgabe 4/2021

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Abstract

Massive multiple-input multiple-output (massive-MIMO) is a promising technology for next generation wireless communications systems due to its capability to increase the data rate and meet the enormous ongoing data traffic explosion. However, in non-reciprocal channels, such as those encountered in frequency division duplex (FDD) systems, channel state information (CSI) estimation using downlink (DL) training sequence is to date very challenging issue, especially when the channel exhibits a shorter coherence time. In particular, the availability of sufficiently accurate CSI at the base transceiver station (BTS) allows an efficient precoding design in the DL transmission to be achieved, and thus, reliable communication systems can be obtained. In order to achieve the aforementioned objectives, this paper presents a feasible DL training sequence design based on a partial CSI estimation approach for an FDD massive-MIMO system with a shorter coherence time. To this end, a threshold-based approach is proposed for a suitable DL pilot selection by exploring the statistical information of the channel covariance matrix. The mean square error of the proposed design is derived, and the achievable sum rate and bit-error-rate for maximum ratio transmitter and regularized zero forcing precoding is investigated over different BTS topologies with uniform linear array and uniform rectangular array. The results show that a feasible performance in the DL FDD massive-MIMO systems can be achieved even when a large number of antenna elements are deployed by the BTS and a shorter coherence time is considered.
Vorheriger Artikel An IND-CCA2 Secure Certificateless Hybrid Signcryption
Nächster Artikel Development of Fuzzy Enabled Coverage Hole Detection Algorithm in Wireless Sensor Networks

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Fußnoten
1
The subscript (sim) stands for the Monte Carlo simulation while the subscript (an) stands for the analytical form.
 
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Metadaten
Titel
A Partial CSI Estimation Approach for Downlink FDD massive-MIMO System with Different Base Transceiver Station Topologies
verfasst von
Marwah Abdulrazzaq Naser
Muntadher Qasim Alsabah
Montadar Abas Taher
Publikationsdatum
14.04.2021
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2021
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-08423-1

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