Package: inet.physicallayer.wireless.common.errormodel.packetlevel
StochasticErrorModel
compound moduleThis 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
The following diagram shows inheritance relationships for this type. Unresolved types are missing from the diagram.
Extends
Name | Type | Description |
---|---|---|
ErrorModelBase | compound module |
This module servces as the base module for error models. |
Parameters
Name | Type | Default value | Description |
---|---|---|---|
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 this can be used, for example, to represents cross symbol interference due to OFDM lobe overlapping, symbol frequency/time offset mismatch, and symbol frequency/time size mismatch |
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 |
---|---|---|
display | i=block/broadcast | |
class | StochasticErrorModel |
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