CloseIn

Close-in propagation model

Description

Model the behavior of electromagnetic radiation from a point of transmission as it travels through urban macro cell scenarios by using a CloseIn object. For more information about the model, see [1]. Close-in propagation models have no enforced frequency range.

Creation

Create a CloseIn object by using the propagationModel function.

Properties

ReferenceDistance — Free-space reference distance, in meters

1 (default) | scalar

Free-space reference distance, in meters, specified as a scalar.

Note

The close-in model is valid for distances greater than or equal to the ReferenceDistance. Path loss is 0 for distances less than ReferenceDistance.

Data Types: double

PathLossExponent — Path loss exponent

2.9 (default) | scalar

Path loss exponent, specified as a scalar.

Data Types: double

Sigma — Standard deviation in dB

5.7 (default) | scalar

Standard deviation of the zero-mean Gaussian random variable, in dB, specified as a scalar.

Data Types: double

NumDataPoints — Number of data points

1869 (default) | integer

Number of data points of the zero-mean Gaussian random variable, specified as an integer.

Data Types: double

Object Functions

pathloss	Path loss of radio wave propagation
range	Range of radio wave propagation
add	Add propagation models

Examples

Model Coverage Using Close-In Model

Display the coverage area for a transmitter using the close-in propagation model.

pm = propagationModel("close-in");
tx = txsite("Name","Apple Hill","Latitude",42.3001,"Longitude",-71.3604);
coverage(tx,pm)

References

[1] Sun, Shu, Theodore S. Rappaport, Timothy A. Thomas, Amitava Ghosh, Huan C. Nguyen, Istvan Z. Kovacs, Ignacio Rodriguez, Ozge Koymen, and Andrzej Partyka. “Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications.” IEEE Transactions on Vehicular Technology 65, no. 5 (May 2016): 2843–60. https://doi.org/10.1109/TVT.2016.2543139.

Version History

Introduced in R2019b