Network model of a 5G MIMO base station antenna in a downlink multi-user scenario
Paper i proceeding, 2018

A system level network model of a 5G base station antenna (BSA) with massive multiple-input multiple-output (MIMO) capabilities is presented that incorporates antenna mutual interaction and signal processing aspects. The combined transmitter-channel-receiver in such a system is modeled by cascading Z-matrices to interrelate the transmitter and receiver port voltages/ currents to one another. The developed model is then subjected to the zero-forcing (ZF) beamforming algorithm to compute the per-antenna transmit power for a specific minimum signal level at the receiver as well as the required BSA effective isotropic radiated power (EIRP). The presented initial results show that in a line-of-sight (LOS) environment the required EIRP to achieve a 1 Gbps bitrate user link in a 15-200 m coverage ranges from 25-48 dBm, which increases to 31-54 dBm after incorporating first-order mutual coupling effects among the BSA elements.

Base station antenna

5G

Network theory

Massive multiple-input multiple-output (MIMO)

Författare

Navid Amani

Chalmers, Elektroteknik, Kommunikationssystem, informationsteori och antenner, Antennsystem

Rob Maaskant

Technische Universiteit Eindhoven

Chalmers, Elektroteknik, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

Andres Alayon Glazunov

Chalmers, Elektroteknik, Kommunikationssystem, informationsteori och antenner, Antennsystem

Marianna Ivashina

Chalmers, Elektroteknik, Kommunikationssystem, informationsteori och antenner, Antennsystem

IET Conference Publications

Vol. 2018 CP741

12th European Conference on Antennas and Propagation, EuCAP 2018
London, United Kingdom,

Silicon-based Ka-band massive MIMO antenna systems for new telecommunication services (SILIKA)

Europeiska kommissionen (Horisont 2020), 2016-09-01 -- 2020-08-31.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

Kommunikationssystem

Signalbehandling

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Senast uppdaterat

2019-01-21