probabilistic-v2v-channel-condition-model.cc

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/*
 * Copyright (c) 2020 SIGNET Lab, Department of Information Engineering,
 * University of Padova
 *
 * 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
 */
 
#include "probabilistic-v2v-channel-condition-model.h"
 
#include "ns3/enum.h"
#include "ns3/log.h"
#include "ns3/mobility-model.h"
#include "ns3/string.h"
 
namespace ns3
{
 
NS_LOG_COMPONENT_DEFINE("ProbabilisticV2vChannelConditionModel");
 
NS_OBJECT_ENSURE_REGISTERED(ProbabilisticV2vUrbanChannelConditionModel);
 
TypeId
ProbabilisticV2vUrbanChannelConditionModel::GetTypeId()
{
    static TypeId tid =
        TypeId("ns3::ProbabilisticV2vUrbanChannelConditionModel")
            .SetParent<ThreeGppChannelConditionModel>()
            .SetGroupName("Propagation")
            .AddConstructor<ProbabilisticV2vUrbanChannelConditionModel>()
            .AddAttribute("Density",
                          "Specifies the density of the vehicles in the scenario."
                          "It can be set to Low, Medium or High.",
                          EnumValue(VehicleDensity::LOW),
                          MakeEnumAccessor<VehicleDensity>(
                              &ProbabilisticV2vUrbanChannelConditionModel::m_densityUrban),
                          MakeEnumChecker(VehicleDensity::LOW,
                                          "Low",
                                          VehicleDensity::MEDIUM,
                                          "Medium",
                                          VehicleDensity::HIGH,
                                          "High"));
    return tid;
}
 
ProbabilisticV2vUrbanChannelConditionModel::ProbabilisticV2vUrbanChannelConditionModel()
    : ThreeGppChannelConditionModel()
{
}
 
ProbabilisticV2vUrbanChannelConditionModel::~ProbabilisticV2vUrbanChannelConditionModel()
{
}
 
double
ProbabilisticV2vUrbanChannelConditionModel::ComputePlos(Ptr<const MobilityModel> a,
                                                        Ptr<const MobilityModel> b) const
{
    // compute the 2D distance between a and b
    double distance2D = Calculate2dDistance(a->GetPosition(), b->GetPosition());
 
    double pLos = 0.0;
    switch (m_densityUrban)
    {
    case VehicleDensity::LOW:
        pLos = std::min(1.0, std::max(0.0, 0.8548 * exp(-0.0064 * distance2D)));
        break;
    case VehicleDensity::MEDIUM:
        pLos = std::min(1.0, std::max(0.0, 0.8372 * exp(-0.0114 * distance2D)));
        break;
    case VehicleDensity::HIGH:
        pLos = std::min(1.0, std::max(0.0, 0.8962 * exp(-0.017 * distance2D)));
        break;
    default:
        NS_FATAL_ERROR("Undefined density, choose between Low, Medium and High");
    }
 
    return pLos;
}
 
double
ProbabilisticV2vUrbanChannelConditionModel::ComputePnlos(Ptr<const MobilityModel> a,
                                                         Ptr<const MobilityModel> b) const
{
    // compute the 2D distance between a and b
    double distance2D = Calculate2dDistance(a->GetPosition(), b->GetPosition());
 
    // compute the NLOSv probability
    double pNlosv = 0.0;
    switch (m_densityUrban)
    {
    case VehicleDensity::LOW:
        pNlosv = std::min(
            1.0,
            std::max(0.0,
                     1 / (0.0396 * distance2D) *
                         exp(-(log(distance2D) - 5.2718) * (log(distance2D) - 5.2718) / 3.4827)));
        break;
    case VehicleDensity::MEDIUM:
        pNlosv = std::min(
            1.0,
            std::max(0.0,
                     1 / (0.0312 * distance2D) *
                         exp(-(log(distance2D) - 5.0063) * (log(distance2D) - 5.0063) / 2.4544)));
        break;
    case VehicleDensity::HIGH:
        pNlosv = std::min(
            1.0,
            std::max(0.0,
                     1 / (0.0242 * distance2D) *
                         exp(-(log(distance2D) - 5.0115) * (log(distance2D) - 5.0115) / 2.2092)));
        break;
    default:
        NS_FATAL_ERROR("Undefined density, choose between Low, Medium and High");
    }
 
    // derive the NLOS probability
    double pNlos = 1 - ComputePlos(a, b) - pNlosv;
    return pNlos;
}
 
// ------------------------------------------------------------------------- //
 
NS_OBJECT_ENSURE_REGISTERED(ProbabilisticV2vHighwayChannelConditionModel);
 
TypeId
ProbabilisticV2vHighwayChannelConditionModel::GetTypeId()
{
    static TypeId tid =
        TypeId("ns3::ProbabilisticV2vHighwayChannelConditionModel")
            .SetParent<ThreeGppChannelConditionModel>()
            .SetGroupName("Propagation")
            .AddConstructor<ProbabilisticV2vHighwayChannelConditionModel>()
            .AddAttribute("Density",
                          "Specifies the density of the vehicles in the scenario."
                          "It can be set to Low, Medium or High.",
                          EnumValue(VehicleDensity::LOW),
                          MakeEnumAccessor<VehicleDensity>(
                              &ProbabilisticV2vHighwayChannelConditionModel::m_densityHighway),
                          MakeEnumChecker(VehicleDensity::LOW,
                                          "Low",
                                          VehicleDensity::MEDIUM,
                                          "Medium",
                                          VehicleDensity::HIGH,
                                          "High"));
    return tid;
}
 
ProbabilisticV2vHighwayChannelConditionModel::ProbabilisticV2vHighwayChannelConditionModel()
    : ThreeGppChannelConditionModel()
{
}
 
ProbabilisticV2vHighwayChannelConditionModel::~ProbabilisticV2vHighwayChannelConditionModel()
{
}
 
double
ProbabilisticV2vHighwayChannelConditionModel::ComputePlos(Ptr<const MobilityModel> a,
                                                          Ptr<const MobilityModel> b) const
{
    // compute the 2D distance between a and b
    double distance2D = Calculate2dDistance(a->GetPosition(), b->GetPosition());
 
    double aLos = 0.0;
    double bLos = 0.0;
    double cLos = 0.0;
    switch (m_densityHighway)
    {
    case VehicleDensity::LOW:
        aLos = 1.5e-6;
        bLos = -0.0015;
        cLos = 1.0;
        break;
    case VehicleDensity::MEDIUM:
        aLos = 2.7e-6;
        bLos = -0.0025;
        cLos = 1.0;
        break;
    case VehicleDensity::HIGH:
        aLos = 3.2e-6;
        bLos = -0.003;
        cLos = 1.0;
        break;
    default:
        NS_FATAL_ERROR("Undefined density, choose between Low, Medium and High");
    }
 
    double pLos =
        std::min(1.0, std::max(0.0, aLos * distance2D * distance2D + bLos * distance2D + cLos));
 
    return pLos;
}
 
double
ProbabilisticV2vHighwayChannelConditionModel::ComputePnlos(Ptr<const MobilityModel> a,
                                                           Ptr<const MobilityModel> b) const
{
    // compute the 2D distance between a and b
    double distance2D = Calculate2dDistance(a->GetPosition(), b->GetPosition());
 
    double aNlos = 0.0;
    double bNlos = 0.0;
    double cNlos = 0.0;
    switch (m_densityHighway)
    {
    case VehicleDensity::LOW:
        aNlos = -2.9e-7;
        bNlos = 0.00059;
        cNlos = 0.0017;
        break;
    case VehicleDensity::MEDIUM:
        aNlos = -3.7e-7;
        bNlos = 0.00061;
        cNlos = 0.015;
        break;
    case VehicleDensity::HIGH:
        aNlos = -4.1e-7;
        bNlos = 0.00067;
        cNlos = 0.0;
        break;
    default:
        NS_FATAL_ERROR("Undefined density, choose between Low, Medium and High");
    }
 
    double pNlos =
        std::min(1.0, std::max(0.0, aNlos * pow(distance2D, 2) + bNlos * distance2D + cNlos));
 
    return pNlos;
}
 
} // end namespace ns3