3D-ray launching MIMO channel geometric estimation
Fecha
2022Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Identificador del proyecto
Impacto
|
10.1109/LAWP.2022.3193613
Resumen
The complete multiple-input–multiple-output
(MIMO) channel simulation in deterministic techniques can
be a computationally intensive task, due to the inherent scenario’s
complexity and number of antennas. The spatial coherence among
MIMO elements is a reasonable assumption to approximate the
channel from a single point simulation. In this letter, a novel
method to incorporate a geometrical ...
[++]
The complete multiple-input–multiple-output
(MIMO) channel simulation in deterministic techniques can
be a computationally intensive task, due to the inherent scenario’s
complexity and number of antennas. The spatial coherence among
MIMO elements is a reasonable assumption to approximate the
channel from a single point simulation. In this letter, a novel
method to incorporate a geometrical approximation of the MIMO
channel into a three-dimensional ray launching (3D-RL) algorithm
is presented. The method is antenna type independent and the
orientation of the array is embedded in the antenna representation.
Relevant information of the MIMO channel characteristics like the
root mean square (rms) delay spread, the maximum delay spread,
phase and channel capacity are obtained and compared with the
full 3D-RL simulation of the entire MIMO array, achieving 93.4%
reduction in computational time. [--]
Materias
Antenna arrays,
Approximation methods,
Channel response,
Computational modeling,
Hesse normal form,
Indexes,
Mathematical models,
MIMO,
MIMO communication,
Phased arrays,
Ray launching
Editor
IEEE
Publicado en
IEEE Antennas and Wireless Propagation Letters 21(12), 2362-2366
Departamento
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Versión del editor
Entidades Financiadoras
This work was supported by Project RTI2018-095499-B-C31 and funded by the Ministerio de Ciencia, Innovación y Universidades, Gobierno de España (MCIU/AEI/FEDER, UE).