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ns3::LogNormalRandomVariable Class Reference

The log-normal distribution Random Number Generator (RNG) that allows stream numbers to be set deterministically. More...

#include "random-variable-stream.h"

+ Inheritance diagram for ns3::LogNormalRandomVariable:
+ Collaboration diagram for ns3::LogNormalRandomVariable:

Public Member Functions

 LogNormalRandomVariable ()
 Creates a log-normal distribution RNG with the default values for mu and sigma.
 
virtual uint32_t GetInteger ()
 Get the next random value drawn from the distribution.
 
uint32_t GetInteger (uint32_t mu, uint32_t sigma)
 Get the next random value drawn from the distribution.
 
double GetMu () const
 Returns the mu value for the log-normal distribution returned by this RNG stream.
 
double GetSigma () const
 Returns the sigma value for the log-normal distribution returned by this RNG stream.
 
double GetValue () override
 Get the next random value drawn from the distribution.
 
double GetValue (double mu, double sigma)
 Get the next random value drawn from the distribution.
 
- Public Member Functions inherited from ns3::RandomVariableStream
 RandomVariableStream ()
 Default constructor.
 
 RandomVariableStream (const RandomVariableStream &)=delete
 
 ~RandomVariableStream () override
 Destructor.
 
int64_t GetStream () const
 Returns the stream number for the RngStream.
 
bool IsAntithetic () const
 Check if antithetic values will be generated.
 
RandomVariableStreamoperator= (const RandomVariableStream &)=delete
 
void SetAntithetic (bool isAntithetic)
 Specify whether antithetic values should be generated.
 
void SetStream (int64_t stream)
 Specifies the stream number for the RngStream.
 
- Public Member Functions inherited from ns3::Object
 Object ()
 Constructor.
 
 ~Object () override
 Destructor.
 
void AggregateObject (Ptr< Object > other)
 Aggregate two Objects together.
 
void Dispose ()
 Dispose of this Object.
 
AggregateIterator GetAggregateIterator () const
 Get an iterator to the Objects aggregated to this one.
 
TypeId GetInstanceTypeId () const override
 Get the most derived TypeId for this Object.
 
template<typename T >
Ptr< T > GetObject () const
 Get a pointer to the requested aggregated Object.
 
template<>
Ptr< ObjectGetObject () const
 Specialization of () for objects of type ns3::Object.
 
template<typename T >
Ptr< T > GetObject (TypeId tid) const
 Get a pointer to the requested aggregated Object by TypeId.
 
template<>
Ptr< ObjectGetObject (TypeId tid) const
 Specialization of (TypeId tid) for objects of type ns3::Object.
 
void Initialize ()
 Invoke DoInitialize on all Objects aggregated to this one.
 
bool IsInitialized () const
 Check if the object has been initialized.
 
void UnidirectionalAggregateObject (Ptr< Object > other)
 Aggregate an Object to another Object.
 
- Public Member Functions inherited from ns3::SimpleRefCount< Object, ObjectBase, ObjectDeleter >
 SimpleRefCount ()
 Default constructor.
 
 SimpleRefCount (const SimpleRefCount &o)
 Copy constructor.
 
uint32_t GetReferenceCount () const
 Get the reference count of the object.
 
SimpleRefCountoperator= (const SimpleRefCount &o)
 Assignment operator.
 
void Ref () const
 Increment the reference count.
 
void Unref () const
 Decrement the reference count.
 
- Public Member Functions inherited from ns3::ObjectBase
virtual ~ObjectBase ()
 Virtual destructor.
 
void GetAttribute (std::string name, AttributeValue &value, bool permissive=false) const
 Get the value of an attribute, raising fatal errors if unsuccessful.
 
bool GetAttributeFailSafe (std::string name, AttributeValue &value) const
 Get the value of an attribute without raising errors.
 
void SetAttribute (std::string name, const AttributeValue &value)
 Set a single attribute, raising fatal errors if unsuccessful.
 
bool SetAttributeFailSafe (std::string name, const AttributeValue &value)
 Set a single attribute without raising errors.
 
bool TraceConnect (std::string name, std::string context, const CallbackBase &cb)
 Connect a TraceSource to a Callback with a context.
 
bool TraceConnectWithoutContext (std::string name, const CallbackBase &cb)
 Connect a TraceSource to a Callback without a context.
 
bool TraceDisconnect (std::string name, std::string context, const CallbackBase &cb)
 Disconnect from a TraceSource a Callback previously connected with a context.
 
bool TraceDisconnectWithoutContext (std::string name, const CallbackBase &cb)
 Disconnect from a TraceSource a Callback previously connected without a context.
 

Static Public Member Functions

static TypeId GetTypeId ()
 Register this type.
 
- Static Public Member Functions inherited from ns3::RandomVariableStream
static TypeId GetTypeId ()
 Register this type.
 
- Static Public Member Functions inherited from ns3::Object
static TypeId GetTypeId ()
 Register this type.
 
- Static Public Member Functions inherited from ns3::ObjectBase
static TypeId GetTypeId ()
 Get the type ID.
 

Private Attributes

double m_mu
 The mu value for the log-normal distribution returned by this RNG stream.
 
bool m_nextValid
 True if m_normal is valid.
 
double m_normal
 The algorithm produces two values at a time.
 
double m_sigma
 The sigma value for the log-normal distribution returned by this RNG stream.
 
double m_v2
 The algorithm produces two values at a time.
 

Additional Inherited Members

- Protected Member Functions inherited from ns3::RandomVariableStream
RngStreamPeek () const
 Get the pointer to the underlying RngStream.
 
- Protected Member Functions inherited from ns3::Object
 Object (const Object &o)
 Copy an Object.
 
virtual void DoDispose ()
 Destructor implementation.
 
virtual void DoInitialize ()
 Initialize() implementation.
 
virtual void NotifyNewAggregate ()
 Notify all Objects aggregated to this one of a new Object being aggregated.
 
- Protected Member Functions inherited from ns3::ObjectBase
void ConstructSelf (const AttributeConstructionList &attributes)
 Complete construction of ObjectBase; invoked by derived classes.
 
virtual void NotifyConstructionCompleted ()
 Notifier called once the ObjectBase is fully constructed.
 

Detailed Description

The log-normal distribution Random Number Generator (RNG) that allows stream numbers to be set deterministically.

This class supports the creation of objects that return random numbers from a fixed log-normal distribution. It also supports the generation of single random numbers from various log-normal distributions. If one takes the natural logarithm of a random variable following the log-normal distribution, the obtained values follow a normal distribution.

The probability density function is defined using two parameters Mu = $\mu$ and Sigma = $\sigma$ as:

\[
     P(x; \mu, \sigma) dx = \frac{1}{x\sqrt{2\pi\sigma^2}}
         e^{-\frac{(ln(x) - \mu)^2}{2\sigma^2}} dx, \\
         \quad x \in [0, +\infty)
  \]

The distribution has mean value

\[
     \langle x | P(x; \mu, \sigma) \rangle = e^{\mu+\frac{\sigma^2}{2}}
  \]

and variance

\[
     var(x) = (e^{\sigma^2}-1)e^{2\mu+\sigma^2}
  \]

Note these are the mean and variance of the log-normal distribution, not the Mu or Sigma configuration variables.

If the desired mean and variance are known the $\mu$ and $\sigma$ parameters can be calculated instead with the following equations:

\[
     \mu = ln(\langle x \rangle) - \\
           \frac{1}{2}ln\left(1+\frac{var(x)}{{\langle x \rangle}^2}\right)
  \]

and

\[
     \sigma^2 = ln\left(1+\frac{var(x)}{{\langle x \rangle}^2}\right)
  \]

If $u_1$, $u_2$ are uniform variables over [0,1] then the log-normal RNG value, $x$ is generated as follows:

\begin{eqnarray*}
     v_1 & = & 2 u_1 - 1     \\
     v_2 & = & 2 u_2 - 1     \\
     r^2 & = & v_1^2 + v_2^2     \\
     y   & = & \sqrt{\frac{-2 \log{r^2}}{r^2}}       \\
     x   & = &  \exp\left(\mu + v_1 y \sigma\right)  .
  \end{eqnarray*}

Example

Here is an example of how to use this class:

double mu = 5.0;
double sigma = 2.0;
x->SetAttribute ("Mu", DoubleValue (mu));
x->SetAttribute ("Sigma", DoubleValue (sigma));
double value = x->GetValue ();
This class can be used to hold variables of floating point type such as 'double' or 'float'.
Definition double.h:31
Smart pointer class similar to boost::intrusive_ptr.
Ptr< T > CreateObject(Args &&... args)
Create an object by type, with varying number of constructor parameters.
Definition object.h:619
Antithetic Values.

If an instance of this RNG is configured to return antithetic values, the actual value returned, $x'$, is generated as follows:

\begin{eqnarray*}
     v_1^{\prime} & = & 2 (1 - u_1) - 1     \\
     v_2^{\prime} & = & 2 (1 - u_2) - 1     \\
     r^{\prime 2} & = & v_1^{\prime 2}  + v_2^{\prime 2}     \\
     y^{\prime} & = & v_1^{\prime}\sqrt{\frac{-2 \log(r^{\prime 2})}{r^{\prime 2}}}     \\
     x^{\prime} & = & \exp\left(\mu + y^{\prime} \sigma\right)  .
  \end{eqnarray*}

which now involves the distances $u_1$ and $u_2$ are from 1.

Definition at line 1134 of file random-variable-stream.h.

Constructor & Destructor Documentation

◆ LogNormalRandomVariable()

ns3::LogNormalRandomVariable::LogNormalRandomVariable ( )

Creates a log-normal distribution RNG with the default values for mu and sigma.

Definition at line 806 of file random-variable-stream.cc.

References NS_LOG_FUNCTION.

Member Function Documentation

◆ GetInteger() [1/2]

uint32_t ns3::RandomVariableStream::GetInteger ( )
virtual

Get the next random value drawn from the distribution.

Returns
A random value.

Reimplemented from ns3::RandomVariableStream.

Definition at line 144 of file random-variable-stream.cc.

◆ GetInteger() [2/2]

uint32_t ns3::LogNormalRandomVariable::GetInteger ( uint32_t mu,
uint32_t sigma )

Get the next random value drawn from the distribution.

Returns
A random value.
Parameters
[in]muMu value for the log-normal distribution.
[in]sigmaSigma value for the log-normal distribution.

Definition at line 890 of file random-variable-stream.cc.

References ns3::RandomVariableStream::GetStream(), GetValue(), and NS_LOG_DEBUG.

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◆ GetMu()

double ns3::LogNormalRandomVariable::GetMu ( ) const

Returns the mu value for the log-normal distribution returned by this RNG stream.

Returns
The mu value for the log-normal distribution returned by this RNG stream.

Definition at line 815 of file random-variable-stream.cc.

References m_mu.

◆ GetSigma()

double ns3::LogNormalRandomVariable::GetSigma ( ) const

Returns the sigma value for the log-normal distribution returned by this RNG stream.

Returns
The sigma value for the log-normal distribution returned by this RNG stream.

Definition at line 821 of file random-variable-stream.cc.

References m_sigma.

◆ GetTypeId()

TypeId ns3::LogNormalRandomVariable::GetTypeId ( )
static

Register this type.

Returns
The object TypeId.

Definition at line 784 of file random-variable-stream.cc.

References m_mu, m_sigma, ns3::MakeDoubleAccessor(), ns3::MakeDoubleChecker(), and ns3::TypeId::SetParent().

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◆ GetValue() [1/2]

double ns3::LogNormalRandomVariable::GetValue ( )
overridevirtual

Get the next random value drawn from the distribution.

Returns
A random value.

Implements ns3::RandomVariableStream.

Definition at line 899 of file random-variable-stream.cc.

References GetValue(), m_mu, and m_sigma.

Referenced by GetInteger(), and GetValue().

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◆ GetValue() [2/2]

double ns3::LogNormalRandomVariable::GetValue ( double mu,
double sigma )

Get the next random value drawn from the distribution.

Returns
A random value.
Parameters
[in]muMu value for the log-normal distribution.
[in]sigmaSigma value for the log-normal distribution.

Definition at line 841 of file random-variable-stream.cc.

References ns3::RandomVariableStream::GetStream(), ns3::RandomVariableStream::IsAntithetic(), m_nextValid, m_normal, m_v2, ns3::normal, NS_LOG_DEBUG, ns3::RandomVariableStream::Peek(), and ns3::RngStream::RandU01().

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Member Data Documentation

◆ m_mu

double ns3::LogNormalRandomVariable::m_mu
private

The mu value for the log-normal distribution returned by this RNG stream.

Definition at line 1177 of file random-variable-stream.h.

Referenced by GetMu(), GetTypeId(), and GetValue().

◆ m_nextValid

bool ns3::LogNormalRandomVariable::m_nextValid
private

True if m_normal is valid.

Definition at line 1183 of file random-variable-stream.h.

Referenced by GetValue().

◆ m_normal

double ns3::LogNormalRandomVariable::m_normal
private

The algorithm produces two values at a time.

Cache parameters for possible reuse.

Definition at line 1189 of file random-variable-stream.h.

Referenced by GetValue().

◆ m_sigma

double ns3::LogNormalRandomVariable::m_sigma
private

The sigma value for the log-normal distribution returned by this RNG stream.

Definition at line 1180 of file random-variable-stream.h.

Referenced by GetSigma(), GetTypeId(), and GetValue().

◆ m_v2

double ns3::LogNormalRandomVariable::m_v2
private

The algorithm produces two values at a time.

Cache parameters for possible reuse.

Definition at line 1186 of file random-variable-stream.h.

Referenced by GetValue().


The documentation for this class was generated from the following files: