Using ray tracing for site-specific indoor radio signal strength analysis

Nidd, Michael; Mann, Sebastian; Black, John S.

doi:10.1109/vetec.1997.600438

Cited by 9 publications

(5 citation statements)

References 10 publications

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“…There are two major approaches to accurate path loss estimation: (1) site surveys use extensive measurement to map the signal power from every location to every other location in a site [12]; and (2) Ray tracing: instead of measurement, signal propagation in a site is tracked in detail using geographical and material information specific to the site; the direct, reflected, refracted, diffracted, and scattered rays between a sender and a receiver are summed to estimate the average received signal strength for a specific location [13], [14], [15]. Both these approaches are accurate, but require significant measurement or computational overhead, which makes them unsuitable for use in a packet simulator.…”

Section: B Site Specific Path Loss Estimation Approachesmentioning

confidence: 99%

“…In particular, the direct, reflected, refracted, diffracted, and scattered rays between a sender and a receiver are summed to estimate the average received signal strength for a specific location [13], [14], [15]. RT is highly accurate if the precise geographic information (GIS) (e.g., materials, facets, and edges) about the environment, as well as the sender and receiver is available.…”

Section: B Site Surveys and Ray Tracingmentioning

confidence: 99%

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Double Regression: Efficient spatially correlated path loss model for wireless network simulation

Han

Abu-Ghazaleh

Lee

2013

2013 Proceedings IEEE INFOCOM

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Abstract-The accuracy of wireless network packet simulation critically depends on the quality of the wireless channel models. These models directly affect the fundamental network characteristics, such as link quality, transmission range, and capture effect, as well as their dynamic variation in time and space. Path loss is the stationary component of the channel model affected by the shadowing in the environment. Existing path loss models are inaccurate, require very high measurement or computational overhead, and/or often cannot be made to represent a given environment. The paper contributes a flexible path loss model that uses a novel approach for spatially coherent interpolation from available nearby channels to allow accurate and efficient modeling of path loss. We show that the proposed model, called Double Regression (DR), generates a correlated space, allowing both the sender and the receiver to move without abrupt change in path loss. Combining DR with a traditional temporal fading model, such as Rayleigh fading, provides an accurate and efficient channel model that we integrate with the NS-2 simulator. We use measurements to validate the accuracy of the model for a number of scenarios. We also show that there is substantial impact on simulation behavior (e.g., up to 600% difference in throughput for simple scenarios) when path loss is modeled accurately.

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Section: B Site Specific Path Loss Estimation Approachesmentioning

confidence: 99%

Section: B Site Surveys and Ray Tracingmentioning

confidence: 99%

Double Regression: Efficient spatially correlated path loss model for wireless network simulation

Han

Abu-Ghazaleh

Lee

2013

2013 Proceedings IEEE INFOCOM

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“…Ray tracing is a technique of modeling the light path by following light rays as they interact with optical surfaces. Radiowaves are similar to lightwaves in that the phenomena of reflection, refraction and scattering apply to both 22 . This has facilitated ray-tracing approach in predicting the signal strength of radiowaves propagating in an indoor environment.…”

Section: Ray-tracing Modelsmentioning

confidence: 99%

Wireless Channel Models for Indoor Environments

Anusuya

Bharadhwaj

Rani

2008

DSJ

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Wireless networks have made significant advancement in recent times by adding a new dimension to the way people communicate. Development of wireless standards have constantly aimed at providing higher data rates even under complex environments using smart antennas, multiple-input, and multiple-output systems. This has necessitated an understanding of the indoor propagation channel. Channel models describe a communication channel and are essential in developing efficient wireless communication networks. This paper surveys different channel models used to characterise wireless indoor environment. This survey may be useful for the army, where the communication over wide areas during wargames that they hold periodically, is necessary. Moreover, it may also be useful for communication near the border areas for surveillance operations.

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“…As the rays disperse, important deflection points or even receiver points may not be hit. Alternatively, in [6] and [7] 3D cones are used instead of single rays. Beyond this work, mixed models have been investigated, which follow partly rays and partly use empirical parameters, cf.…”

Section: Introductionmentioning

confidence: 99%

A Cube Oriented Ray Launching Algorithm for 3D Urban Field Strength Prediction

Mathar

Reyer

Schmeink

2007

2007 IEEE International Conference on Communications

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Fast radio wave propagation prediction is of tremendous interest for planning and optimization of cellular radio networks. We propose a cube oriented 3D ray launching algorithm for both fast and accurate field strength prediction, particularly suitable for urban scenarios. Our model allows field strength prediction for a 5 km 2 area with 5 meter resolution in about 8 sec with mean squared error of 7 dB. As urban environments cannot be completely described, we recommend a parameter calibration for different cities using measurement data from test runs.

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Using ray tracing for site-specific indoor radio signal strength analysis

Cited by 9 publications

References 10 publications

Double Regression: Efficient spatially correlated path loss model for wireless network simulation

Double Regression: Efficient spatially correlated path loss model for wireless network simulation

Wireless Channel Models for Indoor Environments

A Cube Oriented Ray Launching Algorithm for 3D Urban Field Strength Prediction

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