An event driven, simplified TLM method for predicting path-loss in cluttered environments

James Nutaro; Phani Teja Kuruganti; Rajanikanth Jammalamadaka; Tomas Tinoco; Vladimir Protopopescu

doi:10.1109/TAP.2007.913083

An event driven, simplified TLM method for predicting path-loss in cluttered environments

James Nutaro
, Phani Teja Kuruganti
, Rajanikanth Jammalamadaka
, Tomas Tinoco
, Vladimir Protopopescu

Computational Sciences & Engineering Div

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

We describe a scalable method for predicting radio channel path-loss in cluttered environments. The method is designed for constructing path-loss look-up tables that can be integrated with a mobile wireless network simulation. The proposed simulation technique is a much simplified version of the transmission line matrix method; the simplifications allow for an event based simulation using a coarse spatial grid. This, in turn, makes it possible to roughly approximate site specific radio channel path-loss on a scale that is suitable for simulating wireless LANs. Two validation studies demonstrate the utility of the proposed approach.

Original language	English
Pages (from-to)	189-198
Number of pages	10
Journal	IEEE Transactions on Antennas and Propagation
Volume	56
Issue number	1
DOIs	https://doi.org/10.1109/TAP.2007.913083
State	Published - Jan 2008

Funding

Manuscript received January 23, 2007; revised August 11, 2007. This work was supported by the Laboratory Directed Research and Development program of the Oak Ridge National Laboratory (ORNL), managed by UT-Battelle, LLC for the United States Department of Energy under contract DE-AC05-00OR22725. This work was authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy.

Keywords

Deployment
Harsh environments
Industrial wireless networks
Wave propagation

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10.1109/TAP.2007.913083

Cite this

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AU - Protopopescu, Vladimir

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An event driven, simplified TLM method for predicting path-loss in cluttered environments

Abstract

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Keywords

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