A Generic Method for the Reliable Calculation of Large-Scale Fading in an Obstacle-Dense Propagation Environment

Integrated Models for Information Communication Systems and Networks: Design and Development (2013).Copyright: © 2013 |Pages: 22, DOI: 10.4018/978-1-4666-2208-1.ch012

22 Pages Posted: 21 Jun 2019 Last revised: 12 Aug 2021

See all articles by Theofilo Chrysikos

Theofilo Chrysikos

University of Patras

Stavros Kotsopoulos

University of Patras

Eduard Babulak

National Science Foundation; Liberty University

Date Written: October 15, 2013

Abstract

The aim of this chapter is to summarize and present recent findings in the field of wireless channel modeling that provide a new method for the reliable calculation of the statistical parameters of large-scale variations of the average received signal (shadow fading). This algorithm is theoretically based on a path loss estimation model that incorporates losses due to walls and floors. This has been confirmed to be the most precise mathematical tool for average signal strength prediction for various frequencies of interest and propagation environments. The total path loss is estimated as a sum of two independent attenuation processes: free space loss and losses due to obstacles. This solution allows for a direct and reliable calculation of the deviation of the fluctuations of the average received signal in an obstacle dense environment.

Suggested Citation

Chrysikos, Theofilos and Kotsopoulos, Stavros and Babulak, Eduard, A Generic Method for the Reliable Calculation of Large-Scale Fading in an Obstacle-Dense Propagation Environment (October 15, 2013). Integrated Models for Information Communication Systems and Networks: Design and Development (2013).Copyright: © 2013 |Pages: 22, DOI: 10.4018/978-1-4666-2208-1.ch012, Available at SSRN: https://ssrn.com/abstract=3404591 or http://dx.doi.org/10.2139/ssrn.3404591

Theofilos Chrysikos

University of Patras ( email )

Patra
Greece

HOME PAGE: http://www.ece.upatras.gr/en/

Eduard Babulak (Contact Author)

National Science Foundation ( email )

4201 Wilson Boulevard
Arlington, VA 22230
United States
866-673-4737 (Phone)

HOME PAGE: http://https://www.nsfgrfp.org/

Liberty University ( email )

1971 University Blvd
Lynchburg, VA Lynchburg 24515
United States

HOME PAGE: http://https://www.liberty.edu/business/faculty/eduard-babulak/

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