Advances in Radio Science
Advances in Radio Science
ARS
Articles | Volume 13
Articles | Volume 13
https://doi.org/10.5194/ars-13-169-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/ars-13-169-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 13
03 Nov 2015
 | 03 Nov 2015

Fast algorithm for radio propagation modeling in realistic 3-D urban environment

A. Rauch, J. Lianghai, A. Klein, and H. D. Schotten

Cited articles

Berg, J.-E.: A Recursive Method For Street Microcell Path Loss Calculation, Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 1, 140–143, 1995.
Greenstein, L., Michelson, D., and Erceg, V.: Moment-Method Estimation of the Rician K-Factor, IEEE Comm. Lett., 3, 175–176, https://doi.org/10.1109/4234.769521, 1999.
ICT-317669 METIS: Deliverable 6.1, ICT-317669, available at https://www.metis2020.com, 2013.
Iskander, C.-D.: A MATLAB-based Object-Oriented Approach to Multipath Fading Channel Simulation, white paper, February 2008.
ITU-R M.2135: Guidelines for evaluation of radio interface technologies for IMT-Advanced, M.2135, available at: https://www.itu.int/dms_pub/itu-r/opb/rep/R-REP-M.2135-1-2009-PDF-E.pdf, 2009.
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Short summary
In order to evaluate the performance of next generation mobile communication systems in realistic deployment scenarios, system level simulation tools must be capable of integrating various models that reflect network deployment and user mobility. In this work, we use a simplified model for efficiently computing the path loss between receiver and transmitter in line of sight conditions as well as in non line of sight conditions using Berg's recursive model.
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