propagation-loss-model.cc

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/*
 * Copyright (c) 2005,2006,2007 INRIA
 *
 * SPDX-License-Identifier: GPL-2.0-only
 *
 * Author: Mathieu Lacage <mathieu.lacage@sophia.inria.fr>
 * Contributions: Timo Bingmann <timo.bingmann@student.kit.edu>
 * Contributions: Tom Hewer <tomhewer@mac.com> for Two Ray Ground Model
 *                Pavel Boyko <boyko@iitp.ru> for matrix
 */
 
#include "propagation-loss-model.h"
 
#include "ns3/boolean.h"
#include "ns3/double.h"
#include "ns3/log.h"
#include "ns3/mobility-model.h"
#include "ns3/node.h"
#include "ns3/pointer.h"
#include "ns3/string.h"
 
#include <cmath>
 
namespace ns3
{
 
NS_LOG_COMPONENT_DEFINE("PropagationLossModel");
 
// ------------------------------------------------------------------------- //
 
NS_OBJECT_ENSURE_REGISTERED(PropagationLossModel);
 
TypeId
PropagationLossModel::GetTypeId()
{
    static TypeId tid =
        TypeId("ns3::PropagationLossModel").SetParent<Object>().SetGroupName("Propagation");
    return tid;
}
 
PropagationLossModel::PropagationLossModel()
    : m_next(nullptr)
{
}
 
PropagationLossModel::~PropagationLossModel()
{
}
 
void
PropagationLossModel::SetNext(Ptr<PropagationLossModel> next)
{
    m_next = next;
}
 
Ptr<PropagationLossModel>
PropagationLossModel::GetNext()
{
    return m_next;
}
 
double
PropagationLossModel::CalcRxPower(double txPowerDbm,
                                  Ptr<MobilityModel> a,
                                  Ptr<MobilityModel> b) const
{
    double self = DoCalcRxPower(txPowerDbm, a, b);
    if (m_next)
    {
        self = m_next->CalcRxPower(self, a, b);
    }
    return self;
}
 
int64_t
PropagationLossModel::AssignStreams(int64_t stream)
{
    int64_t currentStream = stream;
    currentStream += DoAssignStreams(stream);
    if (m_next)
    {
        currentStream += m_next->AssignStreams(currentStream);
    }
    return (currentStream - stream);
}
 
// ------------------------------------------------------------------------- //
 
NS_OBJECT_ENSURE_REGISTERED(RandomPropagationLossModel);
 
TypeId
RandomPropagationLossModel::GetTypeId()
{
    static TypeId tid =
        TypeId("ns3::RandomPropagationLossModel")
            .SetParent<PropagationLossModel>()
            .SetGroupName("Propagation")
            .AddConstructor<RandomPropagationLossModel>()
            .AddAttribute(
                "Variable",
                "The random variable used to pick a loss every time CalcRxPower is invoked.",
                StringValue("ns3::ConstantRandomVariable[Constant=1.0]"),
                MakePointerAccessor(&RandomPropagationLossModel::m_variable),
                MakePointerChecker<RandomVariableStream>());
    return tid;
}
 
RandomPropagationLossModel::RandomPropagationLossModel()
    : PropagationLossModel()
{
}
 
RandomPropagationLossModel::~RandomPropagationLossModel()
{
}
 
double
RandomPropagationLossModel::DoCalcRxPower(double txPowerDbm,
                                          Ptr<MobilityModel> a,
                                          Ptr<MobilityModel> b) const
{
    double rxc = -m_variable->GetValue();
    NS_LOG_DEBUG("attenuation coefficient=" << rxc << "Db");
    return txPowerDbm + rxc;
}
 
int64_t
RandomPropagationLossModel::DoAssignStreams(int64_t stream)
{
    m_variable->SetStream(stream);
    return 1;
}
 
// ------------------------------------------------------------------------- //
 
NS_OBJECT_ENSURE_REGISTERED(FriisPropagationLossModel);
 
TypeId
FriisPropagationLossModel::GetTypeId()
{
    static TypeId tid =
        TypeId("ns3::FriisPropagationLossModel")
            .SetParent<PropagationLossModel>()
            .SetGroupName("Propagation")
            .AddConstructor<FriisPropagationLossModel>()
            .AddAttribute(
                "Frequency",
                "The carrier frequency (in Hz) at which propagation occurs (default is 5.15 GHz).",
                DoubleValue(5.150e9),
                MakeDoubleAccessor(&FriisPropagationLossModel::SetFrequency,
                                   &FriisPropagationLossModel::GetFrequency),
                MakeDoubleChecker<double>())
            .AddAttribute("SystemLoss",
                          "The system loss (linear factor >= 1, not in dB)",
                          DoubleValue(1.0),
                          MakeDoubleAccessor(&FriisPropagationLossModel::SetSystemLoss,
                                             &FriisPropagationLossModel::GetSystemLoss),
                          MakeDoubleChecker<double>())
            .AddAttribute("MinLoss",
                          "The minimum value (dB) of the total loss, used at short ranges.",
                          DoubleValue(0.0),
                          MakeDoubleAccessor(&FriisPropagationLossModel::SetMinLoss,
                                             &FriisPropagationLossModel::GetMinLoss),
                          MakeDoubleChecker<double>());
    return tid;
}
 
FriisPropagationLossModel::FriisPropagationLossModel()
{
}
 
void
FriisPropagationLossModel::SetSystemLoss(double systemLoss)
{
    NS_ABORT_MSG_UNLESS(systemLoss >= 1, "System loss less than 1 corresponds to gain");
    m_systemLoss = systemLoss;
}
 
double
FriisPropagationLossModel::GetSystemLoss() const
{
    return m_systemLoss;
}
 
void
FriisPropagationLossModel::SetMinLoss(double minLoss)
{
    m_minLoss = minLoss;
}
 
double
FriisPropagationLossModel::GetMinLoss() const
{
    return m_minLoss;
}
 
void
FriisPropagationLossModel::SetFrequency(double frequency)
{
    m_frequency = frequency;
    static const double C = 299792458.0; // speed of light in vacuum
    m_lambda = C / frequency;
}
 
double
FriisPropagationLossModel::GetFrequency() const
{
    return m_frequency;
}
 
double
FriisPropagationLossModel::DbmToW(double dbm) const
{
    double mw = std::pow(10.0, dbm / 10.0);
    return mw / 1000.0;
}
 
double
FriisPropagationLossModel::DbmFromW(double w) const
{
    double dbm = std::log10(w * 1000.0) * 10.0;
    return dbm;
}
 
double
FriisPropagationLossModel::DoCalcRxPower(double txPowerDbm,
                                         Ptr<MobilityModel> a,
                                         Ptr<MobilityModel> b) const
{
    /*
     * Friis free space equation:
     * where Pt, Gr, Gr and P are in Watt units
     * L is in meter units.
     *
     *    P     Gt * Gr * (lambda^2)
     *   --- = ---------------------
     *    Pt     (4 * pi * d)^2 * L
     *
     * Gt: tx gain (unit-less)
     * Gr: rx gain (unit-less)
     * Pt: tx power (W)
     * d: distance (m)
     * L: system loss
     * lambda: wavelength (m)
     *
     * Here, we ignore tx and rx gain and the input and output values
     * are in dB or dBm:
     *
     *                           lambda^2
     * rx = tx +  10 log10 (-------------------)
     *                       (4 * pi * d)^2 * L
     *
     * rx: rx power (dB)
     * tx: tx power (dB)
     * d: distance (m)
     * L: system loss (unit-less)
     * lambda: wavelength (m)
     */
    double distance = a->GetDistanceFrom(b);
    if (distance < 3 * m_lambda)
    {
        NS_LOG_WARN(
            "distance not within the far field region => inaccurate propagation loss value");
    }
    if (distance <= 0)
    {
        return txPowerDbm - m_minLoss;
    }
    double numerator = m_lambda * m_lambda;
    double denominator = 16 * M_PI * M_PI * distance * distance * m_systemLoss;
    double lossDb = -10 * log10(numerator / denominator);
    NS_LOG_DEBUG("distance=" << distance << "m, loss=" << lossDb << "dB");
    return txPowerDbm - std::max(lossDb, m_minLoss);
}
 
int64_t
FriisPropagationLossModel::DoAssignStreams(int64_t stream)
{
    return 0;
}
 
// ------------------------------------------------------------------------- //
// -- Two-Ray Ground Model ported from NS-2 -- tomhewer@mac.com -- Nov09 //
 
NS_OBJECT_ENSURE_REGISTERED(TwoRayGroundPropagationLossModel);
 
TypeId
TwoRayGroundPropagationLossModel::GetTypeId()
{
    static TypeId tid =
        TypeId("ns3::TwoRayGroundPropagationLossModel")
            .SetParent<PropagationLossModel>()
            .SetGroupName("Propagation")
            .AddConstructor<TwoRayGroundPropagationLossModel>()
            .AddAttribute(
                "Frequency",
                "The carrier frequency (in Hz) at which propagation occurs  (default is 5.15 GHz).",
                DoubleValue(5.150e9),
                MakeDoubleAccessor(&TwoRayGroundPropagationLossModel::SetFrequency,
                                   &TwoRayGroundPropagationLossModel::GetFrequency),
                MakeDoubleChecker<double>())
            .AddAttribute("SystemLoss",
                          "The system loss (linear factor >= 1, not in dB)",
                          DoubleValue(1.0),
                          MakeDoubleAccessor(&TwoRayGroundPropagationLossModel::SetSystemLoss,
                                             &TwoRayGroundPropagationLossModel::GetSystemLoss),
                          MakeDoubleChecker<double>())
            .AddAttribute(
                "MinDistance",
                "The distance under which the propagation model refuses to give results (m)",
                DoubleValue(0.5),
                MakeDoubleAccessor(&TwoRayGroundPropagationLossModel::SetMinDistance,
                                   &TwoRayGroundPropagationLossModel::GetMinDistance),
                MakeDoubleChecker<double>())
            .AddAttribute("HeightAboveZ",
                          "The height of the antenna (m) above the node's Z coordinate",
                          DoubleValue(0),
                          MakeDoubleAccessor(&TwoRayGroundPropagationLossModel::m_heightAboveZ),
                          MakeDoubleChecker<double>());
    return tid;
}
 
TwoRayGroundPropagationLossModel::TwoRayGroundPropagationLossModel()
{
}
 
void
TwoRayGroundPropagationLossModel::SetSystemLoss(double systemLoss)
{
    NS_ABORT_MSG_UNLESS(systemLoss >= 1, "System loss less than 1 corresponds to gain");
    m_systemLoss = systemLoss;
}
 
double
TwoRayGroundPropagationLossModel::GetSystemLoss() const
{
    return m_systemLoss;
}
 
void
TwoRayGroundPropagationLossModel::SetMinDistance(double minDistance)
{
    m_minDistance = minDistance;
}
 
double
TwoRayGroundPropagationLossModel::GetMinDistance() const
{
    return m_minDistance;
}
 
void
TwoRayGroundPropagationLossModel::SetHeightAboveZ(double heightAboveZ)
{
    m_heightAboveZ = heightAboveZ;
}
 
void
TwoRayGroundPropagationLossModel::SetFrequency(double frequency)
{
    m_frequency = frequency;
    static const double C = 299792458.0; // speed of light in vacuum
    m_lambda = C / frequency;
}
 
double
TwoRayGroundPropagationLossModel::GetFrequency() const
{
    return m_frequency;
}
 
double
TwoRayGroundPropagationLossModel::DbmToW(double dbm) const
{
    double mw = std::pow(10.0, dbm / 10.0);
    return mw / 1000.0;
}
 
double
TwoRayGroundPropagationLossModel::DbmFromW(double w) const
{
    double dbm = std::log10(w * 1000.0) * 10.0;
    return dbm;
}
 
double
TwoRayGroundPropagationLossModel::DoCalcRxPower(double txPowerDbm,
                                                Ptr<MobilityModel> a,
                                                Ptr<MobilityModel> b) const
{
    /*
     * Two-Ray Ground equation:
     *
     * where Pt, Gt and Gr are in dBm units
     * L, Ht and Hr are in meter units.
     *
     *   Pr      Gt * Gr * (Ht^2 * Hr^2)
     *   -- =  (-------------------------)
     *   Pt            d^4 * L
     *
     * Gt: tx gain (unit-less)
     * Gr: rx gain (unit-less)
     * Pt: tx power (dBm)
     * d: distance (m)
     * L: system loss
     * Ht: Tx antenna height (m)
     * Hr: Rx antenna height (m)
     * lambda: wavelength (m)
     *
     * As with the Friis model we ignore tx and rx gain and output values
     * are in dB or dBm
     *
     *                      (Ht * Ht) * (Hr * Hr)
     * rx = tx + 10 log10 (-----------------------)
     *                      (d * d * d * d) * L
     */
    double distance = a->GetDistanceFrom(b);
    if (distance <= m_minDistance)
    {
        return txPowerDbm;
    }
 
    // Set the height of the Tx and Rx antennae
    double txAntHeight = a->GetPosition().z + m_heightAboveZ;
    double rxAntHeight = b->GetPosition().z + m_heightAboveZ;
 
    // Calculate a crossover distance, under which we use Friis
    /*
     *
     * dCross = (4 * pi * Ht * Hr) / lambda
     *
     */
 
    double dCross = (4 * M_PI * txAntHeight * rxAntHeight) / m_lambda;
    double tmp = 0;
    if (distance <= dCross)
    {
        // We use Friis
        double numerator = m_lambda * m_lambda;
        tmp = M_PI * distance;
        double denominator = 16 * tmp * tmp * m_systemLoss;
        double pr = 10 * std::log10(numerator / denominator);
        NS_LOG_DEBUG("Receiver within crossover (" << dCross << "m) for Two_ray path; using Friis");
        NS_LOG_DEBUG("distance=" << distance << "m, attenuation coefficient=" << pr << "dB");
        return txPowerDbm + pr;
    }
    else // Use Two-Ray Pathloss
    {
        tmp = txAntHeight * rxAntHeight;
        double rayNumerator = tmp * tmp;
        tmp = distance * distance;
        double rayDenominator = tmp * tmp * m_systemLoss;
        double rayPr = 10 * std::log10(rayNumerator / rayDenominator);
        NS_LOG_DEBUG("distance=" << distance << "m, attenuation coefficient=" << rayPr << "dB");
        return txPowerDbm + rayPr;
    }
}
 
int64_t
TwoRayGroundPropagationLossModel::DoAssignStreams(int64_t stream)
{
    return 0;
}
 
// ------------------------------------------------------------------------- //
 
NS_OBJECT_ENSURE_REGISTERED(LogDistancePropagationLossModel);
 
TypeId
LogDistancePropagationLossModel::GetTypeId()
{
    static TypeId tid =
        TypeId("ns3::LogDistancePropagationLossModel")
            .SetParent<PropagationLossModel>()
            .SetGroupName("Propagation")
            .AddConstructor<LogDistancePropagationLossModel>()
            .AddAttribute("Exponent",
                          "The exponent of the Path Loss propagation model",
                          DoubleValue(3.0),
                          MakeDoubleAccessor(&LogDistancePropagationLossModel::m_exponent),
                          MakeDoubleChecker<double>())
            .AddAttribute("ReferenceDistance",
                          "The distance at which the reference loss is calculated (m)",
                          DoubleValue(1.0),
                          MakeDoubleAccessor(&LogDistancePropagationLossModel::m_referenceDistance),
                          MakeDoubleChecker<double>())
            .AddAttribute("ReferenceLoss",
                          "The reference loss at reference distance (dB). (Default is Friis at 1m "
                          "with 5.15 GHz)",
                          DoubleValue(46.6777),
                          MakeDoubleAccessor(&LogDistancePropagationLossModel::m_referenceLoss),
                          MakeDoubleChecker<double>());
    return tid;
}
 
LogDistancePropagationLossModel::LogDistancePropagationLossModel()
{
}
 
void
LogDistancePropagationLossModel::SetPathLossExponent(double n)
{
    m_exponent = n;
}
 
void
LogDistancePropagationLossModel::SetReference(double referenceDistance, double referenceLoss)
{
    m_referenceDistance = referenceDistance;
    m_referenceLoss = referenceLoss;
}
 
double
LogDistancePropagationLossModel::GetPathLossExponent() const
{
    return m_exponent;
}
 
double
LogDistancePropagationLossModel::DoCalcRxPower(double txPowerDbm,
                                               Ptr<MobilityModel> a,
                                               Ptr<MobilityModel> b) const
{
    double distance = a->GetDistanceFrom(b);
    if (distance <= m_referenceDistance)
    {
        NS_LOG_DEBUG("distance=" << distance << "m, reference-attenuation=" << -m_referenceLoss
                                 << "dB, no further attenuation");
        return txPowerDbm - m_referenceLoss;
    }
    /**
     * The formula is:
     * rx = 10 * log (Pr0(tx)) - n * 10 * log (d/d0)
     *
     * Pr0: rx power at reference distance d0 (W)
     * d0: reference distance: 1.0 (m)
     * d: distance (m)
     * tx: tx power (dB)
     * rx: dB
     *
     * Which, in our case is:
     *
     * rx = rx0(tx) - 10 * n * log (d/d0)
     */
    double pathLossDb = 10 * m_exponent * std::log10(distance / m_referenceDistance);
    double rxc = -m_referenceLoss - pathLossDb;
    NS_LOG_DEBUG("distance=" << distance << "m, reference-attenuation=" << -m_referenceLoss
                             << "dB, "
                             << "attenuation coefficient=" << rxc << "db");
    return txPowerDbm + rxc;
}
 
int64_t
LogDistancePropagationLossModel::DoAssignStreams(int64_t stream)
{
    return 0;
}
 
// ------------------------------------------------------------------------- //
 
NS_OBJECT_ENSURE_REGISTERED(ThreeLogDistancePropagationLossModel);
 
TypeId
ThreeLogDistancePropagationLossModel::GetTypeId()
{
    static TypeId tid =
        TypeId("ns3::ThreeLogDistancePropagationLossModel")
            .SetParent<PropagationLossModel>()
            .SetGroupName("Propagation")
            .AddConstructor<ThreeLogDistancePropagationLossModel>()
            .AddAttribute("Distance0",
                          "Beginning of the first (near) distance field",
                          DoubleValue(1.0),
                          MakeDoubleAccessor(&ThreeLogDistancePropagationLossModel::m_distance0),
                          MakeDoubleChecker<double>())
            .AddAttribute("Distance1",
                          "Beginning of the second (middle) distance field.",
                          DoubleValue(200.0),
                          MakeDoubleAccessor(&ThreeLogDistancePropagationLossModel::m_distance1),
                          MakeDoubleChecker<double>())
            .AddAttribute("Distance2",
                          "Beginning of the third (far) distance field.",
                          DoubleValue(500.0),
                          MakeDoubleAccessor(&ThreeLogDistancePropagationLossModel::m_distance2),
                          MakeDoubleChecker<double>())
            .AddAttribute("Exponent0",
                          "The exponent for the first field.",
                          DoubleValue(1.9),
                          MakeDoubleAccessor(&ThreeLogDistancePropagationLossModel::m_exponent0),
                          MakeDoubleChecker<double>())
            .AddAttribute("Exponent1",
                          "The exponent for the second field.",
                          DoubleValue(3.8),
                          MakeDoubleAccessor(&ThreeLogDistancePropagationLossModel::m_exponent1),
                          MakeDoubleChecker<double>())
            .AddAttribute("Exponent2",
                          "The exponent for the third field.",
                          DoubleValue(3.8),
                          MakeDoubleAccessor(&ThreeLogDistancePropagationLossModel::m_exponent2),
                          MakeDoubleChecker<double>())
            .AddAttribute(
                "ReferenceLoss",
                "The reference loss at distance d0 (dB). (Default is Friis at 1m with 5.15 GHz)",
                DoubleValue(46.6777),
                MakeDoubleAccessor(&ThreeLogDistancePropagationLossModel::m_referenceLoss),
                MakeDoubleChecker<double>());
    return tid;
}
 
ThreeLogDistancePropagationLossModel::ThreeLogDistancePropagationLossModel()
{
}
 
double
ThreeLogDistancePropagationLossModel::DoCalcRxPower(double txPowerDbm,
                                                    Ptr<MobilityModel> a,
                                                    Ptr<MobilityModel> b) const
{
    double distance = a->GetDistanceFrom(b);
    NS_ASSERT(distance >= 0);
 
    // See doxygen comments for the formula and explanation
 
    double pathLossDb;
 
    if (distance < m_distance0)
    {
        pathLossDb = 0;
    }
    else if (distance < m_distance1)
    {
        pathLossDb = m_referenceLoss + 10 * m_exponent0 * std::log10(distance / m_distance0);
    }
    else if (distance < m_distance2)
    {
        pathLossDb = m_referenceLoss + 10 * m_exponent0 * std::log10(m_distance1 / m_distance0) +
                     10 * m_exponent1 * std::log10(distance / m_distance1);
    }
    else
    {
        pathLossDb = m_referenceLoss + 10 * m_exponent0 * std::log10(m_distance1 / m_distance0) +
                     10 * m_exponent1 * std::log10(m_distance2 / m_distance1) +
                     10 * m_exponent2 * std::log10(distance / m_distance2);
    }
 
    NS_LOG_DEBUG("ThreeLogDistance distance=" << distance << "m, "
                                              << "attenuation=" << pathLossDb << "dB");
 
    return txPowerDbm - pathLossDb;
}
 
int64_t
ThreeLogDistancePropagationLossModel::DoAssignStreams(int64_t stream)
{
    return 0;
}
 
// ------------------------------------------------------------------------- //
 
NS_OBJECT_ENSURE_REGISTERED(NakagamiPropagationLossModel);
 
TypeId
NakagamiPropagationLossModel::GetTypeId()
{
    static TypeId tid =
        TypeId("ns3::NakagamiPropagationLossModel")
            .SetParent<PropagationLossModel>()
            .SetGroupName("Propagation")
            .AddConstructor<NakagamiPropagationLossModel>()
            .AddAttribute("Distance1",
                          "Beginning of the second distance field. Default is 80m.",
                          DoubleValue(80.0),
                          MakeDoubleAccessor(&NakagamiPropagationLossModel::m_distance1),
                          MakeDoubleChecker<double>())
            .AddAttribute("Distance2",
                          "Beginning of the third distance field. Default is 200m.",
                          DoubleValue(200.0),
                          MakeDoubleAccessor(&NakagamiPropagationLossModel::m_distance2),
                          MakeDoubleChecker<double>())
            .AddAttribute("m0",
                          "m0 for distances smaller than Distance1. Default is 1.5.",
                          DoubleValue(1.5),
                          MakeDoubleAccessor(&NakagamiPropagationLossModel::m_m0),
                          MakeDoubleChecker<double>())
            .AddAttribute("m1",
                          "m1 for distances smaller than Distance2. Default is 0.75.",
                          DoubleValue(0.75),
                          MakeDoubleAccessor(&NakagamiPropagationLossModel::m_m1),
                          MakeDoubleChecker<double>())
            .AddAttribute("m2",
                          "m2 for distances greater than Distance2. Default is 0.75.",
                          DoubleValue(0.75),
                          MakeDoubleAccessor(&NakagamiPropagationLossModel::m_m2),
                          MakeDoubleChecker<double>())
            .AddAttribute(
                "ErlangRv",
                "Access to the underlying ErlangRandomVariable",
                StringValue("ns3::ErlangRandomVariable"),
                MakePointerAccessor(&NakagamiPropagationLossModel::m_erlangRandomVariable),
                MakePointerChecker<ErlangRandomVariable>())
            .AddAttribute("GammaRv",
                          "Access to the underlying GammaRandomVariable",
                          StringValue("ns3::GammaRandomVariable"),
                          MakePointerAccessor(&NakagamiPropagationLossModel::m_gammaRandomVariable),
                          MakePointerChecker<GammaRandomVariable>());
    ;
    return tid;
}
 
NakagamiPropagationLossModel::NakagamiPropagationLossModel()
{
}
 
double
NakagamiPropagationLossModel::DoCalcRxPower(double txPowerDbm,
                                            Ptr<MobilityModel> a,
                                            Ptr<MobilityModel> b) const
{
    // select m parameter
 
    double distance = a->GetDistanceFrom(b);
    NS_ASSERT(distance >= 0);
 
    double m;
    if (distance < m_distance1)
    {
        m = m_m0;
    }
    else if (distance < m_distance2)
    {
        m = m_m1;
    }
    else
    {
        m = m_m2;
    }
 
    // the current power unit is dBm, but Watt is put into the Nakagami /
    // Rayleigh distribution.
    double powerW = std::pow(10, (txPowerDbm - 30) / 10);
 
    double resultPowerW;
 
    // switch between Erlang- and Gamma distributions: this is only for
    // speed. (Gamma is equal to Erlang for any positive integer m.)
    auto int_m = static_cast<unsigned int>(std::floor(m));
 
    if (int_m == m)
    {
        resultPowerW = m_erlangRandomVariable->GetValue(int_m, powerW / m);
    }
    else
    {
        resultPowerW = m_gammaRandomVariable->GetValue(m, powerW / m);
    }
 
    double resultPowerDbm = 10 * std::log10(resultPowerW) + 30;
 
    NS_LOG_DEBUG("Nakagami distance=" << distance << "m, "
                                      << "power=" << powerW << "W, "
                                      << "resultPower=" << resultPowerW << "W=" << resultPowerDbm
                                      << "dBm");
 
    return resultPowerDbm;
}
 
int64_t
NakagamiPropagationLossModel::DoAssignStreams(int64_t stream)
{
    m_erlangRandomVariable->SetStream(stream);
    m_gammaRandomVariable->SetStream(stream + 1);
    return 2;
}
 
// ------------------------------------------------------------------------- //
 
NS_OBJECT_ENSURE_REGISTERED(FixedRssLossModel);
 
TypeId
FixedRssLossModel::GetTypeId()
{
    static TypeId tid = TypeId("ns3::FixedRssLossModel")
                            .SetParent<PropagationLossModel>()
                            .SetGroupName("Propagation")
                            .AddConstructor<FixedRssLossModel>()
                            .AddAttribute("Rss",
                                          "The fixed receiver Rss.",
                                          DoubleValue(-150.0),
                                          MakeDoubleAccessor(&FixedRssLossModel::m_rss),
                                          MakeDoubleChecker<double>());
    return tid;
}
 
FixedRssLossModel::FixedRssLossModel()
    : PropagationLossModel()
{
}
 
FixedRssLossModel::~FixedRssLossModel()
{
}
 
void
FixedRssLossModel::SetRss(double rss)
{
    m_rss = rss;
}
 
double
FixedRssLossModel::DoCalcRxPower(double txPowerDbm,
                                 Ptr<MobilityModel> a,
                                 Ptr<MobilityModel> b) const
{
    return m_rss;
}
 
int64_t
FixedRssLossModel::DoAssignStreams(int64_t stream)
{
    return 0;
}
 
// ------------------------------------------------------------------------- //
 
NS_OBJECT_ENSURE_REGISTERED(MatrixPropagationLossModel);
 
TypeId
MatrixPropagationLossModel::GetTypeId()
{
    static TypeId tid =
        TypeId("ns3::MatrixPropagationLossModel")
            .SetParent<PropagationLossModel>()
            .SetGroupName("Propagation")
            .AddConstructor<MatrixPropagationLossModel>()
            .AddAttribute("DefaultLoss",
                          "The default value for propagation loss, dB.",
                          DoubleValue(std::numeric_limits<double>::max()),
                          MakeDoubleAccessor(&MatrixPropagationLossModel::m_default),
                          MakeDoubleChecker<double>());
    return tid;
}
 
MatrixPropagationLossModel::MatrixPropagationLossModel()
    : PropagationLossModel(),
      m_default(std::numeric_limits<double>::max())
{
}
 
MatrixPropagationLossModel::~MatrixPropagationLossModel()
{
}
 
void
MatrixPropagationLossModel::SetDefaultLoss(double loss)
{
    m_default = loss;
}
 
void
MatrixPropagationLossModel::SetLoss(Ptr<MobilityModel> ma,
                                    Ptr<MobilityModel> mb,
                                    double loss,
                                    bool symmetric)
{
    NS_ASSERT(ma && mb);
 
    uint64_t p = ((uint64_t)ma->GetObject<Node>()->GetId()) << 32 |
                 ((uint64_t)mb->GetObject<Node>()->GetId());
    auto i = m_loss.find(p);
 
    if (i == m_loss.end())
    {
        m_loss.insert(std::make_pair(p, loss));
    }
    else
    {
        i->second = loss;
    }
 
    if (symmetric)
    {
        SetLoss(mb, ma, loss, false);
    }
}
 
double
MatrixPropagationLossModel::DoCalcRxPower(double txPowerDbm,
                                          Ptr<MobilityModel> a,
                                          Ptr<MobilityModel> b) const
{
    uint64_t p =
        ((uint64_t)a->GetObject<Node>()->GetId()) << 32 | ((uint64_t)b->GetObject<Node>()->GetId());
    auto i = m_loss.find(p);
 
    if (i != m_loss.end())
    {
        return txPowerDbm - i->second;
    }
    else
    {
        return txPowerDbm - m_default;
    }
}
 
int64_t
MatrixPropagationLossModel::DoAssignStreams(int64_t stream)
{
    return 0;
}
 
// ------------------------------------------------------------------------- //
 
NS_OBJECT_ENSURE_REGISTERED(RangePropagationLossModel);
 
TypeId
RangePropagationLossModel::GetTypeId()
{
    static TypeId tid = TypeId("ns3::RangePropagationLossModel")
                            .SetParent<PropagationLossModel>()
                            .SetGroupName("Propagation")
                            .AddConstructor<RangePropagationLossModel>()
                            .AddAttribute("MaxRange",
                                          "Maximum Transmission Range (meters)",
                                          DoubleValue(250),
                                          MakeDoubleAccessor(&RangePropagationLossModel::m_range),
                                          MakeDoubleChecker<double>());
    return tid;
}
 
RangePropagationLossModel::RangePropagationLossModel()
{
}
 
double
RangePropagationLossModel::DoCalcRxPower(double txPowerDbm,
                                         Ptr<MobilityModel> a,
                                         Ptr<MobilityModel> b) const
{
    double distance = a->GetDistanceFrom(b);
    if (distance <= m_range)
    {
        return txPowerDbm;
    }
    else
    {
        return -1000;
    }
}
 
int64_t
RangePropagationLossModel::DoAssignStreams(int64_t stream)
{
    return 0;
}
 
// ------------------------------------------------------------------------- //
 
} // namespace ns3