Title :
Large-scale fading model for mobile communications in disaster and salvage scenarios
Author :
Ling Chen ; Loschonsky, M. ; Reindl, Leonhard M.
Author_Institution :
Dept. of Microsyst. Eng., Univ. of Freiburg , Freiburg, Germany
Abstract :
Within a running project, I-LOV, wireless communication channel model for mobile radio propagation in disaster and salvage scenarios is developed. This contribution focuses on a semi-empirical large-scale fading (LSF) model, which is able to estimate signal power loss between base station and mobile phone under debris. Due to multitude of diverse materials appearing in burying scenarios, the signal loss factor varies heavily depending on electromagnetic properties of involved materials. Additionally, highly variable shape and dimension of rubbles impact strongly the loss factor. Besides numerous LSF models investigated in urban environments, only a few are in ruins. This paper presents a novel modeling concept of LSF in catastrophe scenarios. The proposed LSF model handles the radio propagation way in two parts: outside ruins and through the ruins. Measurements have been conducted at GSM 900 and GSM 1800 bands in collapsed buildings of stratified rubbles, as well as in an avalanche scenario. The model predication fits the measured data well.
Keywords :
cellular radio; disasters; emergency services; radiowave propagation; signal processing; wireless channels; GSM 1800 band; GSM 900 band; I-LOV project; LSF model; avalanche scenario; base station; catastrophe scenario; collapsed building; disaster; electromagnetic property; large-scale fading model; mobile communication; mobile phone; mobile radio propagation; salvage scenario; signal loss factor; signal power loss; stratified rubble; urban environment; wireless communication channel; Antenna measurements; Antennas; Attenuation; Attenuation measurement; Buildings; GSM; Loss measurement; avalanches; collapsed buildings; large-scale fading model; mobile radio channels; path loss;
Conference_Titel :
Wireless Communications and Signal Processing (WCSP), 2010 International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-1-4244-7556-8
Electronic_ISBN :
978-1-4244-7554-4
DOI :
10.1109/WCSP.2010.5633059