How Can You Benefit From NIRView?

NIRView's field strength prediction model has proven to be reliable for large outdoor areas, provided that the underlying geospatial data is of sufficient quality:

Especially when using exponential path loss as the basic model (i.e. depending on the distance of the base station), NIRView generates a prediction with sufficient precision for outdoor areas. On average, a conformity of 1 dB between measurement and prediction can be achieved, with a standard deviation between measurement and prediction of 5-7 dB in most cases.

The building-intersection model is also applicable to specific cases, like forested areas. In such environments, measurements which are strongly diverging from usual predicition (which do not treat forest as specific environment) can be interpreted properly in most cases.

Michael Oestreicher, physicist, Techcom Consulting
NIRView helps you to quickly and easily get a visual overview of the field strength resulting from telecommunication base stations — with only a very basic telecommunications network knowledge required. You will immediately see which parts of your interesting area are covered by the main (resp. side) lobes and which parts are in the shadow of the antenna.
NIRView can work with free data, if required: For a coarse overview, it can be sufficient to work with the publicly available SRTM elevation model and OpenStreetMap maps. To improve calculation results you can use geospatial data typically received from the land registry office, which are still comparably cheap.

What NIRView is not suited for

Certain aspects of telecommunication networks planning: While NIRView provides propagation models to predict the basic field strength and resulting values, like C/I, there is no support for e.g. traffic analysis.
Highly detailed outdoor prediction of the field strength, for instance for singular measurement points. Measurements should be used here, instead.
Indoor predictions of the field strength. Measurements should be used here, instead.