ns3::NakagamiPropagationLossModel Class Reference
Nakagami-m fast fading propagation loss model.
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#include <propagation-loss-model.h>
List of all members.
Detailed Description
Nakagami-m fast fading propagation loss model.
The Nakagami-m distribution is applied to the power level. The probability density function is defined as
with the fading depth parameter and the average received power.
It is implemented by either a ns3::GammaVariable or a ns3::ErlangVariable random variable.
Like in ns3::ThreeLogDistancePropagationLossModel, the m parameter is varied over three distance fields:
For m = 1 the Nakagami-m distribution equals the Rayleigh distribution. Thus this model also implements Rayleigh distribution based fast fading.
Member Function Documentation
static TypeId ns3::NakagamiPropagationLossModel::GetTypeId |
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void |
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This method returns the TypeId associated to ns3::NakagamiPropagationLossModel.
Attributes defined for this type:
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Distance1: Beginning of the second distance field. Default is 80m.
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Set with class: ns3::DoubleValue
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Underlying type: double -1.79769e+308:1.79769e+308
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Initial value: 80
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Flags: construct write read
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Distance2: Beginning of the third distance field. Default is 200m.
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Set with class: ns3::DoubleValue
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Underlying type: double -1.79769e+308:1.79769e+308
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Initial value: 200
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Flags: construct write read
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m0: m0 for distances smaller than Distance1. Default is 1.5.
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Set with class: ns3::DoubleValue
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Underlying type: double -1.79769e+308:1.79769e+308
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Initial value: 1.5
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Flags: construct write read
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m1: m1 for distances smaller than Distance2. Default is 0.75.
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Set with class: ns3::DoubleValue
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Underlying type: double -1.79769e+308:1.79769e+308
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Initial value: 0.75
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Flags: construct write read
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m2: m2 for distances greater than Distance2. Default is 0.75.
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Set with class: ns3::DoubleValue
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Underlying type: double -1.79769e+308:1.79769e+308
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Initial value: 0.75
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Flags: construct write read
No TraceSources defined for this type.
Reimplemented from ns3::PropagationLossModel.
The documentation for this class was generated from the following files:
- src/devices/wifi/propagation-loss-model.h
- doc/introspected-doxygen.h