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 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.

[1]  Claude Oestges,et al.  Propagation modeling and system strategies in mobile-satellite urban scenarios , 2001, IEEE Trans. Veh. Technol..

[2]  P. Lédl,et al.  AREA COVERAGE SIMULATIONS FOR MILLIMETER POINT-TO-MULTIPOINT SYSTEMS USING STATISTICAL MODEL OF BUILDING BLOCKAGE , 2002 .

[3]  Ieee Microwave Theory,et al.  Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems — Amendment for Physical and Medium Access Control Layers for Combined Fixed and Mobile Operation in Licensed Bands , 2003 .

[4]  P. Constantinou,et al.  Propagation model for vegetation effects in terrestrial and satellite mobile systems , 2004, IEEE Transactions on Antennas and Propagation.

[5]  Claude Oestges,et al.  Physical statistical modelling of the land mobile satellite channel based on ray tracing , 1999 .

[6]  Claude Oestges,et al.  Coverage modelling of high-altitude platforms communicaton systems , 2001 .

[7]  Claude Oestges A stochastic geometrical vector model of macro- and megacellular communication channels , 2002, IEEE Trans. Veh. Technol..

[8]  Simon R. Saunders,et al.  Antennas and Propagation for Wireless Communication Systems , 1999 .

[9]  George Liang,et al.  Simulating radio channel statistics for different building environments , 2001, IEEE J. Sel. Areas Commun..

[10]  R. Kouyoumjian,et al.  A uniform geometrical theory of diffraction for an edge in a perfectly conducting surface , 1974 .

[11]  Alejandro Aragn-Zavala,et al.  High-altitude platforms for wireless communications , 2008 .

[12]  Zoran Blazevic,et al.  Deterministic wideband modeling of satellite propagation channel with buildings blockage , 2005, IEEE Transactions on Vehicular Technology.

[13]  R. Luebbers Finite conductivity uniform GTD versus knife edge diffraction in prediction of propagation path loss , 1984 .

[14]  Goran M. Djuknic,et al.  Establishing wireless communications services via high-altitude aeronautical platforms: a concept whose time has come? , 1997, IEEE Commun. Mag..

[15]  Maria Angeles Vázquez-Castro,et al.  Channel modeling for satellite and HAPS system design , 2002, Wirel. Commun. Mob. Comput..

[16]  Constantine A. Balanis,et al.  Propagation model for building blockage in satellite mobile communication systems , 1998 .

[17]  Barry G. Evans,et al.  High elevation angle propagation results, applied to a statistical model and an enhanced empirical model , 1993 .