Scholarly
    Communications Project


Document Type:Master's Thesis
Name:Gregory David Durgin
Email address:gdurgin@vt.edu
URN:1998/00537
Title:Advanced Site-Specific Propagation Prediction Techniques
Degree:Master of Science
Department:Electrical and Computer Engineering (ECPE)
Committee Chair: Theodore S. Rappaport
Chair's email:wireless@vt.edu
Committee Members:Gary S. Brown
David A. de Wolf
Keywords:radio wave propagation, ray tracing, MPRG, NII, wireless
Date of defense:April 16, 1998
Availability:Release the entire work immediately worldwide.

Abstract:

This thesis describes advanced techniques for site-specific propagation prediction. The need for accurate site-specific propagation is discussed in the context of current trends in the wireless industry. The first half of the report is dedicated to measuring and modeling continuous wave (CW) local-area path loss. Specifically, the text uses examples from a 5.85 GHz CW measurement campaign in and around suburban homes. Not only do these measurements demonstrate the validity of the original models and techniques presented in the thesis, but the results themselves may prove particularly useful for developing in-home wireless devices operating in the National Information Infrastructure band. This unlicensed spectrum was allocated in January of 1997 and holds promising applications for public and private telecommunications, home-based wireless internet, wireless local loops, and any number of wideband wireless applications. There is an in-depth development of deterministic propagation prediction techniques in the latter half of the thesis. The use of geometrical optics for terrestrial microwave propagation is discussed as well as an overview of the numerous ray tracing techniques that exist in the literature. Finally, a new 3D ray launching method is presented which improves upon many of the existing ray tracing algorithms. The thesis demonstrates how this algorithm is capable of recovering very detailed channel information from a wideband deterministic propagation prediction.

List of Attached Files

gdm.pdf


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