3D Standard Ray Tracing
The standard raytracing model (SRT) performs a rigorous 3D raytracing prediction which results in a very high accuracy, but it is computationally expensive.
Deterministic models are used to simulate the propagation of radio waves physically. Therefore, the effect of the environment on the propagation parameters can be taken into account more accurately. Another advantage is that deterministic models make it possible to predict several propagation parameters. For example, the path loss, impulse response and angleofarrival can be predicted at the same time.
As smaller wavelengths (higher frequencies) are considered, the wave propagation becomes similar to the propagation of light. Therefore a radio ray is assumed to propagate along a straight line influenced only by refraction, reflection, diffraction or scattering which is the concept of geometrical optics (GO). The criterion taken into account for this modeling approach is that the wavelength should be much smaller in comparison to the extension of the considered obstacles, for example, the walls of a building. At the frequencies used for mobile communication networks this criterion is also inside buildings sufficiently fulfilled.
 raytracing
 ray launching
The standard raytracing model (SRT) performs a rigorous 3D raytracing prediction which results in high accuracy. Due to the determination of the individual paths, the computational effort is large. Therefore several acceleration techniques both with and without loss of accuracy are developed and integrated in this rigorous 3D approach.
This model has a long computation time, because only small parts of the prediction are preprocessed and every propagation path is analytically determined. The initialization data is stored in an .idw file. This file is created at the first prediction run. The computation time of subsequent predictions that are based on the new .idw database is thus diminished. For this purpose, a new project based on the .idw database has to be created.
Propagation Paths
Each transmission through a wall, each reflection at a wall and each diffraction at an edge counts as an interaction. The computed propagation paths can be limited within the propagation model settings. The value Max. defines the maximum number of interactions that are allowed for each propagation path. The appropriate value depends on the building structure. If, for example, the building has a corridor that runs around a corner three times, then it would be better to compute more interactions, because multiple diffractions are needed to reach all prediction pixels. The same occurs if a building has a structure where the rays have to pass many walls to reach every point of the building, because then more transmissions are needed. The only constraint is that the computation time naturally increases if more interactions are computed. On the other hand, if too less interactions are computed, the accuracy decreases. In this case additionally more prediction pixels might not be reached by the SRT prediction, which leads to the need to compute those pixels with an empirical model which will decrease the accuracy even more. As a basic rule, an appropriate setting for the maximum value would be 2 – 4, depending on the building structure.
If the indoor database contains additional objects defining the ground, such as topography and clutter objects, the interactions (reflection, diffraction) at those objects can be activated as well.
Computation of Each Ray's Contribution
For the computation of the rays, not only the free space loss has to be considered but also the loss due to the transmissions, reflections and (multiple) diffraction. This is either done using a physical deterministic model or using an empirical model.
The deterministic model uses Fresnel equations for the determination of the reflection and transmission loss and the GTD / UTD for the determination of the diffraction loss. This model has a slightly longer computation time and uses three physical material parameters (permittivity, permeability and conductivity). When using GTD / UTD and Fresnel coefficients arbitrary linear polarizations (between +90° and –90°) or circular polarization can be considered for the transmitters.
The empirical model uses five empirical material parameters (minimum loss of incident ray, maximum loss of incident ray, loss of diffracted ray, reflection loss, transmission loss). For correction purposes or for the adaptation to measurements, an offset to those material parameters can be specified. Here with the empirical model has the advantage that the needed material properties are easier to obtain than the physical parameters required for the deterministic model. Also the parameters of the empirical model can more easily be calibrated with measurements. It is therefore easier to achieve a high accuracy with the empirical model.
The effect of bookshelves and cupboards covering considerable parts of walls is taken into account by including an additional loss of the wall's penetration (transmission) loss. An additional loss of 3 dB was observed to be appropriate. This additional loss is introduced in context of walls covered by bookshelves, cupboards or other large pieces of furniture. Furthermore, it was found necessary to set an empirical limit for the wall transmission loss which otherwise becomes very high when the angle of incidence is large.
 Specular Reflection

The specular reflection phenomena is the mechanism by which a ray is reflected at an angle equal to the incidence angle. The reflected wave fields are related to the incident wave fields through a reflection coefficient which is a matrix when the full polarimetric description of the wave field is taken into account.
The most common expression for the reflection is the Fresnel reflection coefficient which is valid for an infinite boundary between two mediums, for example, air and concrete. The Fresnel reflection coefficient depends on the incident wave field and upon the permittivity and conductivity of each medium. The application of the Fresnel reflection coefficient formulas is very popular and these equations are also applied in ProMan.
To calibrate the prediction model with measurements, some ray optical software tools consider an empirical reflection coefficient varying with the incidence angle to simplify the calculations. Such an empirical approach is also available in ProMan.
 Diffraction

The diffraction process in ray theory is the propagation phenomena which explain the transition from the lit region to the shadow regions behind the corner or over the rooftops. Diffraction by a single wedge can be solved in various ways: empirical formulas, perfectly absorbing wedge, geometrical theory of diffraction (GTD) or uniform theory of diffraction (UTD).
The advantages and disadvantages of using either one formulation is difficult to address since it may not be independent on the environments under investigation. Indeed, reasonable results are possible with each formulation. The various expressions differs mainly from the approximations being made on the surface boundaries of the wedge considered. One major difficulty is to express and use the proper boundaries in the derivation of the diffraction formulas. Another problem is the existence of wedges in real environments: the complexity of a real building corner or of the building’s roof illustrates the modeling difficulties.
Despite these difficulties, however, diffraction around a corner or over rooftop are commonly modeled using the heuristic UTD formulas since they are well behaved in the lit/shadow transition region, and account for the polarization as well as for the wedge material. Therefore these formulas are also used in ProMan to calculate the diffraction coefficient.
 Multiple Diffraction

For the case of multiple diffraction the complexity increases dramatically. One method frequently applied to multiple diffraction problems is the UTD. The main problem with straightforward applications of the UTD is, that in many cases one edge is in the transition zones of the previous edges. Strictly speaking this forbids the application of ray techniques, but in the spirit of the UTD the principle of local illumination of an edge should be valid. At least within some approximate degrees, a solution can be obtained which is quite accurate in most cases of practical interest.
The key point in the theory is to include slope diffraction, which is usually neglected as a higher order term in an asymptotic expansion, but in the transition zone diffraction the term is of the same order as the ordinary amplitude diffraction terms. Additionally there is an empirical diffraction model available which can easily be calibrated with measurements.
 Scattering

Rough surfaces and finite surfaces (surfaces with small extension in comparison to the wavelength) scatter the incident energy in all directions with a radiation diagram that depends on the roughness and size of the surface or volume. The dispersion of energy through scattering means a decrease of the energy reflected in specular direction.
This simple view leads to account for the scattering process by only decreasing the reflection coefficient. The reflection coefficient is decreased by multiplying it with a factor smaller than one where this factor is exponentially dependent on the standard deviation of the surface roughness according to the Rayleigh theory. This description does not take into account the true dispersion of radio energy in various directions, but accounts for the reduction of energy in the specular direction due to the diffuse components scattered in all other directions.
 Penetration and absorption
 Penetration loss due to building walls have been investigated and found to be dependent on the particular system. Absorption due to trees or the body absorption are also propagation mechanisms difficult to quantify with precision. Therefore in the radio network planning process adequate margins should be considered to ensure overall coverage. Another absorption mechanism is the one due to atmospheric effects. These effects are usually neglected in propagation models for mobile communication applications at radio frequencies but are important when higher frequencies (for example 60 GHz) are used.
 Propagation Paths and Interactions

The Propagation paths and interactions group allows to specify the number of interactions that should be considered for the determination of ray paths between transmitter and receiver including the maximum number of reflections, diffractions and scattering.
To accelerate the prediction, additional diffractions and transmissions can be ignored for all rays with more than one reflection. The minimum length of wedges where diffractions can occur can be specified in meters. In case the simulation database contains ground objects (topography in vector format), interaction at those objects can optionally be considered. Diffuse scattering in indoor scenarios can play an important role, especially for determining the actual temporal and angular dispersion of the radio channel.
The WinProp SRT model was extended to consider the scattering on building walls and other objects. For this purpose the scattering can be activated in the model settings by enabling the option “Consider additionally rays with scattering”. As the scattering increases the overall number of rays significantly, there is a limitation of one scattering per ray. Furthermore, the surface roughnesses of the corresponding materials need to be defined (in WallMan and / or ProMan).
For the scattering in the SRT model, tiles as defined in the dialog are considered. The scattered contribution is weighted with the size of the scattering area (tile). Accordingly the resulting scattered power from the whole object is for large distances independent of the tile size. For small distances there is an impact due to the modified scattering angles which depend on the tile size.
Optionally, scattering at pixel and vector ground can be considered. As described under Project Settings, a topography database can be included in an “ indoor” scenario. “Indoor” in WinProp has grown to denote any scenario with more geometrical freedom than urban and rural scenarios. The tile size for ground scattering can be chosen different from that on buildings.
The option Compute ground scattering loss based on the ground clutter coefficient activates the constantγ model for ground clutter, in which the ground’s radar cross section per unit area σ^{0} is modeled as
(1) ${\sigma}^{0}=\gamma \mathrm{sin}\Psi $where ψ is the grazing angle relative to the surface and γ is a parameter describing the scattering property of the terrain surface.
For sea clutter, γ depends on Beaufort wind scale K_{B} and radar wavelength:
(2) $10\mathrm{log}\gamma =6{K}_{B}10\mathrm{log}\lambda 64$The reflectivity of land clutter is much more difficult to characterize than that of the sea. The constantγ model is applied with values of γ for different terrain types as shown in Table 1.
Table 1. The reflectivity of land clutter. Surface Description Mean Reflectivity Coefficient γ [dB] Mountains 5 Roughness ≥ 50 m. Urban 5 Terrain type is building. Wooded hills 10 10 m < Roughness < 50 m, and terrain type is light or dark forest. Rolling hills 12 10 m < Roughness < 50 m, and terrain type is not light or dark forest. Farmland, Desert 15 Roughness ≤ 10m, and smallscale average roughness > 1.5 m. Flatland 20 Roughness ≤ 10 m, and smallscale average roughness between 0.5 m and 1.5 m. Smooth surface 25 Roughness ≤ 10m, and smallscale average roughness ≤ 0.5 m. WinProp will obtain the value of γ from the empirical reflection loss of the material, as defined in the project or in the material catalogue. If you know the value of γ from measurements or literature, use it when specifying the empirical loss of the particular ground material.
If the constantγ model is not activated, then scattering at the ground will be calculated by the same algorithm as scattering at building walls and other objects, using the specified surface roughness and the frequency.
 Propagation Paths  Selection of Paths
 This option allows the limitation of the number of paths per pixel with the following options: maximum path loss of rays, maximum number of paths or dynamic range of paths.
 Propagation Paths  Direct Ray
 The direct ray can be computed always, despite the number of transmissions specified in the first section.
 Computation of interaction losses of the rays
 For the computation of the rays, not only the free space loss has to be considered but also the loss due to the transmissions, reflections and (multiple) diffraction. This is either done using a physical deterministic model or using an empirical model similar to the method for the intelligent raytracing (IRT). Optionally the interaction losses of the rays can be determined considering the angle of incidence for the calculation of the transmission loss
 Path Loss Exponent for rayoptical models
 Exponent for distancedependent path loss.
 Superposition of contributions (different rays)
 Superposition of contributions of different rays can be done either incoherent (without consideration of the phases) or coherent (with consideration of the phases).
 Special Features
 Additional information can be displayed in the progress window during
the simulation if desired.Note: Parameters defined in the dialog apply for both raytracing models (for the standard raytracing model and the intelligent raytracing model).