Empirical ARMA indoor propagation model for WLAN signals in 2.4GHz

Author

Fraiha Lopes, Ramz L. ; Costa, A.B. ; Gomes, H.S. ; Souza, N.W.P. ; Martins, B.W. ; Cavalcante, G.P.S.

Author_Institution

Inst. of Technol. - Electr. Eng. Post Graduation Program, Fed. Univ. of Para - UFPA, Belem, Brazil

fYear

2013

fDate

8-12 April 2013

Firstpage

1338

Lastpage

1341

Abstract

Representing the signal power at a studied environment through a mathematical model is one major challenge of signal propagation study. In this work is proposed an empirical Autoregressive Moving-Average (ARMA) model for signal strength prediction in indoor environments. A Genetic Algorithm (GA) was employed to calibrate the model (finding coefficients), thus, allowing future improvements without major changes to the program source code.

Keywords

UHF radio propagation; autoregressive moving average processes; genetic algorithms; indoor radio; wireless LAN; GA; WLAN signals; empirical ARMA indoor propagation model; empirical autoregressive moving-average model; frequency 2.4 GHz; genetic algorithm; indoor environments; mathematical model; program source code; signal power; signal propagation study; signal strength prediction; Autoregressive processes; Buildings; Computational modeling; Genetic algorithms; Mathematical model; Power measurement; Predictive models; ARMA model; Genetic Algorithm; Indoor Propagation; WLAN;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation (EuCAP), 2013 7th European Conference on

Conference_Location

Gothenburg

Print_ISBN

978-1-4673-2187-7

Electronic_ISBN

978-88-907018-1-8

Type

conf

Filename

6546496