Please use this identifier to cite or link to this item: https://doi.org/10.1155/2009/308606
Title: Applying FDTD to the coverage prediction of wiMAX femtocells
Authors: Valcarce, A
De La Roche, G
Jüttner, Á
Lpez-Pérez, D
Zhang, J 
Keywords: Absorbing boundary condition
Coverage prediction
Error function
FDTD simulations
Graphics processing units
Indoor channels
Indoor coverage
Indoor/outdoor
Macro cells
Material parameter
Mobile WiMAX
Network costs
Optimization method
Propagation models
Radiowave propagation
Real measurements
Residential areas
Residential environment
WiMAX networks
Calibration
Finite difference time domain method
Forecasting
Houses
Interoperability
Method of moments
Wireless networks
Simulators
Issue Date: 2009
Publisher: Hindawi
Citation: Valcarce, A, De La Roche, G, Jüttner, Á, Lpez-Pérez, D, Zhang, J (2009). Applying FDTD to the coverage prediction of wiMAX femtocells. Eurasip Journal on Wireless Communications and Networking 2009 : 308606. ScholarBank@NUS Repository. https://doi.org/10.1155/2009/308606
Rights: Attribution 4.0 International
Abstract: Femtocells, or home base stations, are a potential future solution for operators to increase indoor coverage and reduce network cost. In a real WiMAX femtocell deployment in residential areas covered by WiMAX macrocells, interference is very likely to occur both in the streets and certain indoor regions. Propagation models that take into account both the outdoor and indoor channel characteristics are thus necessary for the purpose of WiMAX network planning in the presence of femtocells. In this paper, the finite-difference time-domain (FDTD) method is adapted for the computation of radiowave propagation predictions at WiMAX frequencies. This model is particularly suitable for the study of hybrid indoor/outdoor scenarios and thus well adapted for the case of WiMAX femtocells in residential environments. Two optimization methods are proposed for the reduction of the FDTD simulation time: the reduction of the simulation frequency for problem simplification and a parallel graphics processing units (GPUs) implementation. The calibration of the model is then thoroughly described. First, the calibration of the absorbing boundary condition, necessary for proper coverage predictions, is presented. Then a calibration of the material parameters that minimizes the error function between simulation and real measurements is proposed. Finally, some mobile WiMAX system-level simulations that make use of the presented propagation model are presented to illustrate the applicability of the model for the study of femto- to macrointerference.
Source Title: Eurasip Journal on Wireless Communications and Networking
URI: https://scholarbank.nus.edu.sg/handle/10635/178222
ISSN: 1687-1472
DOI: 10.1155/2009/308606
Rights: Attribution 4.0 International
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