Nakagami-m fast fading propagation loss model. More...

#include "propagation-loss-model.h"

Inheritance diagram for ns3::NakagamiPropagationLossModel:

Collaboration diagram for ns3::NakagamiPropagationLossModel:

Public Member Functions
	NakagamiPropagationLossModel ()

	NakagamiPropagationLossModel (const NakagamiPropagationLossModel &)=delete

NakagamiPropagationLossModel &	operator= (const NakagamiPropagationLossModel &)=delete

Public Member Functions inherited from ns3::PropagationLossModel
	PropagationLossModel ()

	PropagationLossModel (const PropagationLossModel &)=delete

	~PropagationLossModel () override

int64_t	AssignStreams (int64_t stream)
	If this loss model uses objects of type RandomVariableStream, set the stream numbers to the integers starting with the offset 'stream'.

double	CalcRxPower (double txPowerDbm, Ptr< MobilityModel > a, Ptr< MobilityModel > b) const
	Returns the Rx Power taking into account all the PropagationLossModel(s) chained to the current one.

Ptr< PropagationLossModel >	GetNext ()
	Gets the next PropagationLossModel in the chain of loss models that act on the signal.

PropagationLossModel &	operator= (const PropagationLossModel &)=delete

void	SetNext (Ptr< PropagationLossModel > next)
	Enables a chain of loss models to act on the signal.

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< Object >	GetObject () 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< Object >	GetObject (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.

SimpleRefCount &	operator= (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 ()
	Get the type ID.

Static Public Member Functions inherited from ns3::PropagationLossModel
static TypeId	GetTypeId ()
	Get the type ID.

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 Member Functions
int64_t	DoAssignStreams (int64_t stream) override
	Assign a fixed random variable stream number to the random variables used by this model.

double	DoCalcRxPower (double txPowerDbm, Ptr< MobilityModel > a, Ptr< MobilityModel > b) const override
	PropagationLossModel.

Private Attributes
double	m_distance1
	Distance1.

double	m_distance2
	Distance2.

Ptr< ErlangRandomVariable >	m_erlangRandomVariable
	Erlang random variable.

Ptr< GammaRandomVariable >	m_gammaRandomVariable
	Gamma random variable.

double	m_m0
	m for distances smaller than Distance1

double	m_m1
	m for distances smaller than Distance2

double	m_m2
	m for distances greater than Distance2

Additional Inherited Members
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.

Related Symbols inherited from ns3::ObjectBase
static TypeId	GetObjectIid ()
	Ensure the TypeId for ObjectBase gets fully configured to anchor the inheritance tree properly.

Detailed Description

Nakagami-m fast fading propagation loss model.

This propagation loss model implements the Nakagami-m fast fading model, which accounts for the variations in signal strength due to multipath fading. The model does not account for the path loss due to the distance traveled by the signal, hence for typical simulation usage it is recommended to consider using it in combination with other models that take into account this aspect.

The Nakagami-m distribution is applied to the power level. The probability density function is defined as

$p(x; m, \omega) = \frac{2 m^m}{\Gamma(m) \omega^m} x^{2m - 1} e^{-\frac{m}{\omega} x^2}$

with the fading depth parameter and $\omega$ the average received power.

It is implemented by either a ns3::GammaRandomVariable or a ns3::ErlangRandomVariable random variable.

The implementation of the model allows to specify different values of the m parameter (and hence different fading profiles) for three different distance ranges:

$\underbrace{0 \cdots\cdots}_{m_0} \underbrace{d_1 \cdots\cdots}_{m_1} \underbrace{d_2 \cdots\cdots}_{m_2} \infty$

For m = 1 the Nakagami-m distribution equals the Rayleigh distribution. Thus this model also implements Rayleigh distribution based fast fading.

Definition at line 605 of file propagation-loss-model.h.

Constructor & Destructor Documentation

◆ NakagamiPropagationLossModel() [1/2]

ns3::NakagamiPropagationLossModel::NakagamiPropagationLossModel ( )

Definition at line 709 of file propagation-loss-model.cc.

◆ NakagamiPropagationLossModel() [2/2]

ns3::NakagamiPropagationLossModel::NakagamiPropagationLossModel ( const NakagamiPropagationLossModel & )

delete

Member Function Documentation

◆ DoAssignStreams()

int64_t ns3::NakagamiPropagationLossModel::DoAssignStreams ( int64_t stream )

overrideprivatevirtual

Assign a fixed random variable stream number to the random variables used by this model.

Subclasses must implement this; those not using random variables can return zero.

Parameters

stream first stream index to use

Returns: the number of stream indices assigned by this model

Implements ns3::PropagationLossModel.

Definition at line 767 of file propagation-loss-model.cc.

References m_erlangRandomVariable, and m_gammaRandomVariable.

◆ DoCalcRxPower()

double ns3::NakagamiPropagationLossModel::DoCalcRxPower	(	double	txPowerDbm,
		Ptr< MobilityModel >	a,
		Ptr< MobilityModel >	b ) const

overrideprivatevirtual

PropagationLossModel.

Parameters

txPowerDbm	current transmission power (in dBm)
a	the mobility model of the source
b	the mobility model of the destination

Returns: the reception power after adding/multiplying propagation loss (in dBm)

Implements ns3::PropagationLossModel.

Definition at line 714 of file propagation-loss-model.cc.

References m_distance1, m_distance2, m_erlangRandomVariable, m_gammaRandomVariable, m_m0, m_m1, m_m2, NS_ASSERT, and NS_LOG_DEBUG.

◆ GetTypeId()

TypeId ns3::NakagamiPropagationLossModel::GetTypeId ( )

static

Get the type ID.

Returns: the object TypeId

Definition at line 662 of file propagation-loss-model.cc.

References m_distance1, m_distance2, m_erlangRandomVariable, m_gammaRandomVariable, m_m0, m_m1, m_m2, ns3::MakeDoubleAccessor(), ns3::MakeDoubleChecker(), ns3::MakePointerAccessor(), ns3::MakePointerChecker(), and ns3::TypeId::SetParent().

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◆ operator=()

NakagamiPropagationLossModel & ns3::NakagamiPropagationLossModel::operator= ( const NakagamiPropagationLossModel & )

delete

Member Data Documentation

◆ m_distance1

double ns3::NakagamiPropagationLossModel::m_distance1

private

Distance1.

Definition at line 629 of file propagation-loss-model.h.

Referenced by DoCalcRxPower(), and GetTypeId().

◆ m_distance2

double ns3::NakagamiPropagationLossModel::m_distance2

private

Distance2.

Definition at line 630 of file propagation-loss-model.h.

Referenced by DoCalcRxPower(), and GetTypeId().

◆ m_erlangRandomVariable

Ptr<ErlangRandomVariable> ns3::NakagamiPropagationLossModel::m_erlangRandomVariable

private

Erlang random variable.

Definition at line 636 of file propagation-loss-model.h.

Referenced by DoAssignStreams(), DoCalcRxPower(), and GetTypeId().

◆ m_gammaRandomVariable

Ptr<GammaRandomVariable> ns3::NakagamiPropagationLossModel::m_gammaRandomVariable

private

Gamma random variable.

Definition at line 637 of file propagation-loss-model.h.

Referenced by DoAssignStreams(), DoCalcRxPower(), and GetTypeId().

◆ m_m0

double ns3::NakagamiPropagationLossModel::m_m0

private

m for distances smaller than Distance1

Definition at line 632 of file propagation-loss-model.h.

Referenced by DoCalcRxPower(), and GetTypeId().

◆ m_m1

double ns3::NakagamiPropagationLossModel::m_m1

private

m for distances smaller than Distance2

Definition at line 633 of file propagation-loss-model.h.

Referenced by DoCalcRxPower(), and GetTypeId().

◆ m_m2

double ns3::NakagamiPropagationLossModel::m_m2

private

m for distances greater than Distance2

Definition at line 634 of file propagation-loss-model.h.

Referenced by DoCalcRxPower(), and GetTypeId().

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

src/propagation/model/propagation-loss-model.h
src/propagation/model/propagation-loss-model.cc

Public Member Functions

Static Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ NakagamiPropagationLossModel() [1/2]

◆ NakagamiPropagationLossModel() [2/2]

Member Function Documentation

◆ DoAssignStreams()

◆ DoCalcRxPower()

◆ GetTypeId()

◆ operator=()

Member Data Documentation

◆ m_distance1

◆ m_distance2

◆ m_erlangRandomVariable

◆ m_gammaRandomVariable

◆ m_m0

◆ m_m1

◆ m_m2