StochasticErrorModel¶

Package: inet.physicallayer.wireless.common.errormodel.packetlevel

compound module StochasticErrorModel

This error model provides parameters to specify the constant packet error rate, bit error rate, and symbol error rate for receptions independent of any interfering transmission or noise.

Inheritance diagram¶

Extends¶

Name	Type	Description
ErrorModelBase	compound module	Serves as the base module for error models.

Parameters¶

Name	Type	Default value	Description
displayStringTextFormat	string	“”	Determines the text that is written on top of the submodule, supports displaying pars, watches, and module-specific information
corruptionMode	string	“packet”
snirMode	string	“min”
snirOffset	double	0dB	Offset the calculated SNIR before further computing the PER, BER, SER or corrupt bits and symbols
packetErrorRate	double	nan	A probability in the range [0, 1] or NaN if not set
bitErrorRate	double	nan	A probability in the range [0, 1] or NaN if not set
symbolErrorRate	double	nan	A probability in the range [0, 1] or NaN if not set

Properties¶

Name	Value	Description
class	StochasticErrorModel
display	i=block/broadcast	this can be used, for example, to represent cross symbol interference due to OFDM lobe overlapping, symbol frequency/time offset mismatch, and symbol frequency/time size mismatch

Source code¶

//
// This error model provides parameters to specify the constant packet error
// rate, bit error rate, and symbol error rate for receptions independent of
// any interfering transmission or noise.
//
module StochasticErrorModel extends ErrorModelBase
{
    parameters:
        double packetErrorRate = default(nan); // A probability in the range [0, 1] or NaN if not set
        double bitErrorRate = default(nan);    // A probability in the range [0, 1] or NaN if not set
        double symbolErrorRate = default(nan); // A probability in the range [0, 1] or NaN if not set
        @class(StochasticErrorModel);
}

File: src/inet/physicallayer/wireless/common/errormodel/packetlevel/StochasticErrorModel.ned