Title :
Probabilistic dust storm layers impacting satellite communications
Author :
Harb, Kamal ; Butt, Omair ; Al-Yami, Abdul Aziz ; Abdul-Jauwad, Samir
Author_Institution :
Electr. Eng. Dept., KFUPM Univ., Saudi Arabia
Abstract :
Dust storms are a significant cause of wireless channel impairments, often observed in arid and semi-arid areas of the world. Measurement of weather induced impairments is an essential component for evaluating optimal link budgets of satellite communication links. Study of regional surface characteristics gives necessary information about probable intensity and altitudes of dust storms arising in that area. Furthermore, several mathematical variables including visibility, average dust particles size, permittivity indices, etc. are required for quantifying the weather impairments and acquiring estimates. This paper encompasses development of a physical model for dust storms having several visibility dependent horizontal layers with reference to variations in altitude along with probabilistic dust particle sizes distribution in each layer. Such strategies help in obtaining accurate impairment estimates, assisting to optimally design the link budgets. Further insight to this phenomenon is justified by simulation results for visibility, point and dust attenuations.
Keywords :
atmospheric electromagnetic wave propagation; probability; quality of service; satellite links; storms; wireless channels; average dust particles size; dust attenuations; mathematical variables; optimal link budget evaluation; permittivity indices; point attenuations; probabilistic dust particle sizes distribution; probabilistic dust storm layers; quality-of-service; regional surface characteristics; satellite communication links; satellite communications; visibility attenuations; weather induced impairment measurement; wireless channel impairments; Atmospheric measurements; Attenuation; Quality of service; Satellite broadcasting; Satellites; Storms; Permittivity indices; dust storms; quality of service; satellite networks; signal to noise ratio;
Conference_Titel :
Space Science and Communication (IconSpace), 2013 IEEE International Conference on
Conference_Location :
Melaka
DOI :
10.1109/IconSpace.2013.6599505