A ray launching-neural network approach for radio wave propagation analysis in complex indoor environments

Date

2014

Authors

Rawat, Meenakshi
Rawat, Karun
Ghannouchi, Fadhel

Director

Publisher

IEEE
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión aceptada / Onetsi den bertsioa

Project identifier

  • MICINN//TEC2010-21563-C02-01/ES/ recolecta
  • Gobierno de Navarra//IIM13185.RI1/
Impacto
No disponible en Scopus

Abstract

A novel deterministic approach to model the radio wave propagation channels in complex indoor environments reducing computational complexity is proposed. This technique combines a neural network and a 3D ray launching algorithm in order to compute wireless channel performance in indoor scenarios. An example of applying the method for studying indoor radio wave propagation is presented and the results are compared with a very high resolution fully three dimensional ray launching simulation as the reference solution. The new method allows the use of a lower number of launched rays in the simulation scenario whereas intermediate points can be predicted using neural network. Therefore a high gain in terms of computational efficiency (approximately 80% saving in simulation time) is achieved.

Description

Keywords

3D ray launching, Neural network, RF environment modeling, Radio channel simulation, Multipath

Department

Ingeniería Eléctrica y Electrónica / Ingeniaritza Elektrikoa eta Elektronikoa

Faculty/School

Degree

Doctorate program

item.page.cita

Azpilicueta, L., Rawat, M., Rawat, K., Ghannouchi, F. M., & Falcone, F. (2014). A ray launching-neural network approach for radio wave propagation analysis in complex indoor environments. IEEE Transactions on Antennas and Propagation, 62(5), 2777-2786. https://doi.org/10.1109/TAP.2014.2308518

item.page.rights

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