buildings-propagation-loss-model.cc

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/*
 * Copyright (c) 2011 Centre Tecnologic de Telecomunicacions de Catalunya (CTTC)
 *
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License version 2 as
 * published by the Free Software Foundation;
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 *
 * Author: Marco Miozzo  <marco.miozzo@cttc.es>,
 *         Nicola Baldo <nbaldo@cttc.es>
 *
 */
 
#include "buildings-propagation-loss-model.h"
 
#include "ns3/double.h"
#include "ns3/enum.h"
#include "ns3/log.h"
#include "ns3/mobility-model.h"
#include "ns3/pointer.h"
#include "ns3/propagation-loss-model.h"
#include <ns3/mobility-building-info.h>
 
#include <cmath>
 
namespace ns3
{
 
NS_LOG_COMPONENT_DEFINE("BuildingsPropagationLossModel");
 
NS_OBJECT_ENSURE_REGISTERED(BuildingsPropagationLossModel);
 
BuildingsPropagationLossModel::ShadowingLoss::ShadowingLoss()
{
}
 
BuildingsPropagationLossModel::ShadowingLoss::ShadowingLoss(double shadowingValue,
                                                            Ptr<MobilityModel> receiver)
    : m_shadowingValue(shadowingValue),
      m_receiver(receiver)
{
    NS_LOG_INFO(this << " New Shadowing value " << m_shadowingValue);
}
 
double
BuildingsPropagationLossModel::ShadowingLoss::GetLoss() const
{
    return (m_shadowingValue);
}
 
Ptr<MobilityModel>
BuildingsPropagationLossModel::ShadowingLoss::GetReceiver() const
{
    return m_receiver;
}
 
TypeId
BuildingsPropagationLossModel::GetTypeId()
{
    static TypeId tid =
        TypeId("ns3::BuildingsPropagationLossModel")
 
            .SetParent<PropagationLossModel>()
            .SetGroupName("Buildings")
 
            .AddAttribute(
                "ShadowSigmaOutdoor",
                "Standard deviation of the normal distribution used to calculate the shadowing for "
                "outdoor nodes",
                DoubleValue(7.0),
                MakeDoubleAccessor(&BuildingsPropagationLossModel::m_shadowingSigmaOutdoor),
                MakeDoubleChecker<double>())
 
            .AddAttribute(
                "ShadowSigmaIndoor",
                "Standard deviation of the normal distribution used to calculate the shadowing for "
                "indoor nodes",
                DoubleValue(8.0),
                MakeDoubleAccessor(&BuildingsPropagationLossModel::m_shadowingSigmaIndoor),
                MakeDoubleChecker<double>())
            .AddAttribute(
                "ShadowSigmaExtWalls",
                "Standard deviation of the normal distribution used to calculate the shadowing due "
                "to ext walls",
                DoubleValue(5.0),
                MakeDoubleAccessor(&BuildingsPropagationLossModel::m_shadowingSigmaExtWalls),
                MakeDoubleChecker<double>())
 
            .AddAttribute("InternalWallLoss",
                          "Additional loss for each internal wall [dB]",
                          DoubleValue(5.0),
                          MakeDoubleAccessor(&BuildingsPropagationLossModel::m_lossInternalWall),
                          MakeDoubleChecker<double>());
 
    return tid;
}
 
BuildingsPropagationLossModel::BuildingsPropagationLossModel()
{
    m_randVariable = CreateObject<NormalRandomVariable>();
}
 
double
BuildingsPropagationLossModel::ExternalWallLoss(Ptr<MobilityBuildingInfo> a) const
{
    double loss = 0.0;
    Ptr<Building> aBuilding = a->GetBuilding();
    if (aBuilding->GetExtWallsType() == Building::Wood)
    {
        loss = 4;
    }
    else if (aBuilding->GetExtWallsType() == Building::ConcreteWithWindows)
    {
        loss = 7;
    }
    else if (aBuilding->GetExtWallsType() == Building::ConcreteWithoutWindows)
    {
        loss = 15; // 10 ~ 20 dB
    }
    else if (aBuilding->GetExtWallsType() == Building::StoneBlocks)
    {
        loss = 12;
    }
    return (loss);
}
 
double
BuildingsPropagationLossModel::HeightLoss(Ptr<MobilityBuildingInfo> node) const
{
    double loss = 0.0;
 
    int nfloors = node->GetFloorNumber() - 1;
    loss = -2 * (nfloors);
    return (loss);
}
 
double
BuildingsPropagationLossModel::InternalWallsLoss(Ptr<MobilityBuildingInfo> a,
                                                 Ptr<MobilityBuildingInfo> b) const
{
    // approximate the number of internal walls with the Manhattan distance in "rooms" units
    double dx = std::abs(a->GetRoomNumberX() - b->GetRoomNumberX());
    double dy = std::abs(a->GetRoomNumberY() - b->GetRoomNumberY());
    return m_lossInternalWall * (dx + dy);
}
 
double
BuildingsPropagationLossModel::GetShadowing(Ptr<MobilityModel> a, Ptr<MobilityModel> b) const
{
    Ptr<MobilityBuildingInfo> a1 = a->GetObject<MobilityBuildingInfo>();
    Ptr<MobilityBuildingInfo> b1 = b->GetObject<MobilityBuildingInfo>();
    NS_ASSERT_MSG(a1 && b1, "BuildingsPropagationLossModel only works with MobilityBuildingInfo");
 
    std::map<Ptr<MobilityModel>, std::map<Ptr<MobilityModel>, ShadowingLoss>>::iterator ait =
        m_shadowingLossMap.find(a);
    if (ait != m_shadowingLossMap.end())
    {
        std::map<Ptr<MobilityModel>, ShadowingLoss>::iterator bit = ait->second.find(b);
        if (bit != ait->second.end())
        {
            return (bit->second.GetLoss());
        }
        else
        {
            double sigma = EvaluateSigma(a1, b1);
            // side effect: will create new entry
            // sigma is standard deviation, not variance
            double shadowingValue = m_randVariable->GetValue(0.0, (sigma * sigma));
            ait->second[b] = ShadowingLoss(shadowingValue, b);
            return (ait->second[b].GetLoss());
        }
    }
    else
    {
        double sigma = EvaluateSigma(a1, b1);
        // side effect: will create new entries in both maps
        // sigma is standard deviation, not variance
        double shadowingValue = m_randVariable->GetValue(0.0, (sigma * sigma));
        m_shadowingLossMap[a][b] = ShadowingLoss(shadowingValue, b);
        return (m_shadowingLossMap[a][b].GetLoss());
    }
}
 
double
BuildingsPropagationLossModel::EvaluateSigma(Ptr<MobilityBuildingInfo> a,
                                             Ptr<MobilityBuildingInfo> b) const
{
    bool isAIndoor = a->IsIndoor();
    bool isBIndoor = b->IsIndoor();
 
    if (!isAIndoor) // a is outdoor
    {
        if (!isBIndoor) // b is outdoor
        {
            return (m_shadowingSigmaOutdoor);
        }
        else
        {
            double sigma = std::sqrt((m_shadowingSigmaOutdoor * m_shadowingSigmaOutdoor) +
                                     (m_shadowingSigmaExtWalls * m_shadowingSigmaExtWalls));
            return (sigma);
        }
    }
    else if (isBIndoor) // b is indoor
    {
        return (m_shadowingSigmaIndoor);
    }
    else
    {
        double sigma = std::sqrt((m_shadowingSigmaOutdoor * m_shadowingSigmaOutdoor) +
                                 (m_shadowingSigmaExtWalls * m_shadowingSigmaExtWalls));
        return (sigma);
    }
}
 
double
BuildingsPropagationLossModel::DoCalcRxPower(double txPowerDbm,
                                             Ptr<MobilityModel> a,
                                             Ptr<MobilityModel> b) const
{
    return txPowerDbm - GetLoss(a, b) - GetShadowing(a, b);
}
 
int64_t
BuildingsPropagationLossModel::DoAssignStreams(int64_t stream)
{
    m_randVariable->SetStream(stream);
    return 1;
}
 
} // namespace ns3