Elevation Dependent Shadowing Model for Mobile Communications via High Altitude Platforms in Built-Up Areas

An empirical propagation prediction model is described for mobile communications from high altitude platforms (HAPs) in different types of built-up areas. The model introduced here is defined as a function of the angle of elevation. The target frequencies are selected from the 2 to 6 GHz frequency b...

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Veröffentlicht in:IEEE transactions on antennas and propagation 2008-04, Vol.56 (4), p.1078-1084
Hauptverfasser: Holis, J., Pechac, P.
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description An empirical propagation prediction model is described for mobile communications from high altitude platforms (HAPs) in different types of built-up areas. The model introduced here is defined as a function of the angle of elevation. The target frequencies are selected from the 2 to 6 GHz frequency band prospective for 3G and 4G mobile systems, namely at 2.0,3.5, and 5.5 GHz. This new HAP model recognizes two cases - line of sight (LOS) and non-line of sight (NLOS) between a HAP and a user at street level. The simulation of the urban environment is based on a statistical approach. Additional shadowing path loss is calculated using the uniform theory of diffraction for NLOS conditions. Normal distribution of the additional shadowing path loss was distinguishable from the simulation results. The shadowing path loss is defined as a function of the elevation angle. The results of the empirical model developed for idealized conditions are verified by measurements taken from a remote-controlled airship in different types of urban environment. Close correlation was achieved between the theoretical model and the experimental data. The HAP elevation dependent shadowing model is easy to implement and can be used for realistic planning and simulations of mobile networks provided via HAPs in built-up areas.
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The model introduced here is defined as a function of the angle of elevation. The target frequencies are selected from the 2 to 6 GHz frequency band prospective for 3G and 4G mobile systems, namely at 2.0,3.5, and 5.5 GHz. This new HAP model recognizes two cases - line of sight (LOS) and non-line of sight (NLOS) between a HAP and a user at street level. The simulation of the urban environment is based on a statistical approach. Additional shadowing path loss is calculated using the uniform theory of diffraction for NLOS conditions. Normal distribution of the additional shadowing path loss was distinguishable from the simulation results. The shadowing path loss is defined as a function of the elevation angle. The results of the empirical model developed for idealized conditions are verified by measurements taken from a remote-controlled airship in different types of urban environment. Close correlation was achieved between the theoretical model and the experimental data. 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The model introduced here is defined as a function of the angle of elevation. The target frequencies are selected from the 2 to 6 GHz frequency band prospective for 3G and 4G mobile systems, namely at 2.0,3.5, and 5.5 GHz. This new HAP model recognizes two cases - line of sight (LOS) and non-line of sight (NLOS) between a HAP and a user at street level. The simulation of the urban environment is based on a statistical approach. Additional shadowing path loss is calculated using the uniform theory of diffraction for NLOS conditions. Normal distribution of the additional shadowing path loss was distinguishable from the simulation results. The shadowing path loss is defined as a function of the elevation angle. The results of the empirical model developed for idealized conditions are verified by measurements taken from a remote-controlled airship in different types of urban environment. Close correlation was achieved between the theoretical model and the experimental data. The HAP elevation dependent shadowing model is easy to implement and can be used for realistic planning and simulations of mobile networks provided via HAPs in built-up areas.</description><subject>3G mobile communication</subject><subject>4G mobile communication</subject><subject>Applied sciences</subject><subject>Computer simulation</subject><subject>Diffraction, scattering, reflection</subject><subject>Elevation</subject><subject>Empirical analysis</subject><subject>Empirical model</subject><subject>Equipments and installations</subject><subject>Exact sciences and technology</subject><subject>Frequency</subject><subject>High altitude</subject><subject>high altitude platforms (HAPs)</subject><subject>Mathematical models</subject><subject>Mobile communication</subject><subject>Mobile radiocommunication systems</subject><subject>Networks</subject><subject>Organization and planning of networks (techniques and equipments)</subject><subject>Platforms</subject><subject>Predictive models</subject><subject>propagation</subject><subject>Radio spectrum management</subject><subject>Radiocommunications</subject><subject>Radiowave propagation</subject><subject>Satellites</subject><subject>Services and terminals of telecommunications</subject><subject>Shadow mapping</subject><subject>Studies</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Telemetry. 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The model introduced here is defined as a function of the angle of elevation. The target frequencies are selected from the 2 to 6 GHz frequency band prospective for 3G and 4G mobile systems, namely at 2.0,3.5, and 5.5 GHz. This new HAP model recognizes two cases - line of sight (LOS) and non-line of sight (NLOS) between a HAP and a user at street level. The simulation of the urban environment is based on a statistical approach. Additional shadowing path loss is calculated using the uniform theory of diffraction for NLOS conditions. Normal distribution of the additional shadowing path loss was distinguishable from the simulation results. The shadowing path loss is defined as a function of the elevation angle. The results of the empirical model developed for idealized conditions are verified by measurements taken from a remote-controlled airship in different types of urban environment. Close correlation was achieved between the theoretical model and the experimental data. 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subjects 3G mobile communication
4G mobile communication
Applied sciences
Computer simulation
Diffraction, scattering, reflection
Elevation
Empirical analysis
Empirical model
Equipments and installations
Exact sciences and technology
Frequency
High altitude
high altitude platforms (HAPs)
Mathematical models
Mobile communication
Mobile radiocommunication systems
Networks
Organization and planning of networks (techniques and equipments)
Platforms
Predictive models
propagation
Radio spectrum management
Radiocommunications
Radiowave propagation
Satellites
Services and terminals of telecommunications
Shadow mapping
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Telemetry. Remote supervision. Telewarning. Remote control
Urban areas
Urban environments
WiMAX
wireless communications
title Elevation Dependent Shadowing Model for Mobile Communications via High Altitude Platforms in Built-Up Areas
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