three-gpp-channel-example.cc

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/*
 * Copyright (c) 2019 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
 */
 
/**
 * This example shows how to configure the 3GPP channel model classes to
 * compute the SNR between two nodes.
 * The simulation involves two static nodes which are placed at a certain
 * distance from each other and communicates through a wireless channel at
 * 2 GHz with a bandwidth of 18 MHz. The default propagation environment is
 * 3D-urban macro (UMa) and it can be configured changing the value of the
 * string "scenario".
 * Each node hosts a SimpleNetDevice and has an antenna array with 4 elements.
 */
 
#include "ns3/channel-condition-model.h"
#include "ns3/constant-position-mobility-model.h"
#include "ns3/core-module.h"
#include "ns3/lte-spectrum-value-helper.h"
#include "ns3/mobility-model.h"
#include "ns3/net-device.h"
#include "ns3/node-container.h"
#include "ns3/node.h"
#include "ns3/simple-net-device.h"
#include "ns3/spectrum-signal-parameters.h"
#include "ns3/three-gpp-channel-model.h"
#include "ns3/three-gpp-propagation-loss-model.h"
#include "ns3/three-gpp-spectrum-propagation-loss-model.h"
#include "ns3/uniform-planar-array.h"
 
#include <fstream>
 
NS_LOG_COMPONENT_DEFINE("ThreeGppChannelExample");
 
using namespace ns3;
 
static Ptr<ThreeGppPropagationLossModel>
    m_propagationLossModel; //!< the PropagationLossModel object
static Ptr<ThreeGppSpectrumPropagationLossModel>
    m_spectrumLossModel; //!< the SpectrumPropagationLossModel object
 
/**
 * \brief A structure that holds the parameters for the
 * ComputeSnr function. In this way the problem with the limited
 * number of parameters of method Schedule is avoided.
 */
struct ComputeSnrParams
{
    Ptr<MobilityModel> txMob;        //!< the tx mobility model
    Ptr<MobilityModel> rxMob;        //!< the rx mobility model
    double txPow;                    //!< the tx power in dBm
    double noiseFigure;              //!< the noise figure in dB
    Ptr<PhasedArrayModel> txAntenna; //!< the tx antenna array
    Ptr<PhasedArrayModel> rxAntenna; //!< the rx antenna array
};
 
/**
 * Perform the beamforming using the DFT beamforming method
 * \param thisDevice the device performing the beamforming
 * \param thisAntenna the antenna object associated to thisDevice
 * \param otherDevice the device towards which point the beam
 */
static void
DoBeamforming(Ptr<NetDevice> thisDevice,
              Ptr<PhasedArrayModel> thisAntenna,
              Ptr<NetDevice> otherDevice)
{
    // retrieve the position of the two devices
    Vector aPos = thisDevice->GetNode()->GetObject<MobilityModel>()->GetPosition();
    Vector bPos = otherDevice->GetNode()->GetObject<MobilityModel>()->GetPosition();
 
    // compute the azimuth and the elevation angles
    Angles completeAngle(bPos, aPos);
    double hAngleRadian = completeAngle.GetAzimuth();
 
    double vAngleRadian = completeAngle.GetInclination(); // the elevation angle
 
    // retrieve the number of antenna elements and resize the vector
    uint64_t totNoArrayElements = thisAntenna->GetNumElems();
    PhasedArrayModel::ComplexVector antennaWeights(totNoArrayElements);
 
    // the total power is divided equally among the antenna elements
    double power = 1.0 / sqrt(totNoArrayElements);
 
    // compute the antenna weights
    const double sinVAngleRadian = sin(vAngleRadian);
    const double cosVAngleRadian = cos(vAngleRadian);
    const double sinHAngleRadian = sin(hAngleRadian);
    const double cosHAngleRadian = cos(hAngleRadian);
 
    for (uint64_t ind = 0; ind < totNoArrayElements; ind++)
    {
        Vector loc = thisAntenna->GetElementLocation(ind);
        double phase = -2 * M_PI *
                       (sinVAngleRadian * cosHAngleRadian * loc.x +
                        sinVAngleRadian * sinHAngleRadian * loc.y + cosVAngleRadian * loc.z);
        antennaWeights[ind] = exp(std::complex<double>(0, phase)) * power;
    }
 
    // store the antenna weights
    thisAntenna->SetBeamformingVector(antennaWeights);
}
 
/**
 * Compute the average SNR
 * \param params A structure that holds the parameters that are needed to perform calculations in
 * ComputeSnr
 */
static void
ComputeSnr(const ComputeSnrParams& params)
{
    // Create the tx PSD using the LteSpectrumValueHelper
    // 100 RBs corresponds to 18 MHz (1 RB = 180 kHz)
    // EARFCN 100 corresponds to 2125.00 MHz
    std::vector<int> activeRbs0(100);
    for (int i = 0; i < 100; i++)
    {
        activeRbs0[i] = i;
    }
    auto txPsd =
        LteSpectrumValueHelper::CreateTxPowerSpectralDensity(2100, 100, params.txPow, activeRbs0);
    auto txParams = Create<SpectrumSignalParameters>();
    txParams->psd = txPsd->Copy();
    NS_LOG_DEBUG("Average tx power " << 10 * log10(Sum(*txPsd) * 180e3) << " dB");
 
    // create the noise PSD
    auto noisePsd =
        LteSpectrumValueHelper::CreateNoisePowerSpectralDensity(2100, 100, params.noiseFigure);
    NS_LOG_DEBUG("Average noise power " << 10 * log10(Sum(*noisePsd) * 180e3) << " dB");
 
    // apply the pathloss
    double propagationGainDb = m_propagationLossModel->CalcRxPower(0, params.txMob, params.rxMob);
    NS_LOG_DEBUG("Pathloss " << -propagationGainDb << " dB");
    double propagationGainLinear = std::pow(10.0, (propagationGainDb) / 10.0);
    *(txParams->psd) *= propagationGainLinear;
 
    NS_ASSERT_MSG(params.txAntenna, "params.txAntenna is nullptr!");
    NS_ASSERT_MSG(params.rxAntenna, "params.rxAntenna is nullptr!");
 
    // apply the fast fading and the beamforming gain
    auto rxParams = m_spectrumLossModel->CalcRxPowerSpectralDensity(txParams,
                                                                    params.txMob,
                                                                    params.rxMob,
                                                                    params.txAntenna,
                                                                    params.rxAntenna);
    auto rxPsd = rxParams->psd;
    NS_LOG_DEBUG("Average rx power " << 10 * log10(Sum(*rxPsd) * 180e3) << " dB");
 
    // compute the SNR
    NS_LOG_DEBUG("Average SNR " << 10 * log10(Sum(*rxPsd) / Sum(*noisePsd)) << " dB");
 
    // print the SNR and pathloss values in the snr-trace.txt file
    std::ofstream f;
    f.open("snr-trace.txt", std::ios::out | std::ios::app);
    f << Simulator::Now().GetSeconds() << " " << 10 * log10(Sum(*rxPsd) / Sum(*noisePsd)) << " "
      << propagationGainDb << std::endl;
    f.close();
}
 
int
main(int argc, char* argv[])
{
    double frequency = 2125.0e6;  // operating frequency in Hz (corresponds to EARFCN 2100)
    double txPow = 49.0;          // tx power in dBm
    double noiseFigure = 9.0;     // noise figure in dB
    double distance = 10.0;       // distance between tx and rx nodes in meters
    uint32_t simTime = 1000;      // simulation time in milliseconds
    uint32_t timeRes = 10;        // time resolution in milliseconds
    std::string scenario = "UMa"; // 3GPP propagation scenario
 
    Config::SetDefault("ns3::ThreeGppChannelModel::UpdatePeriod",
                       TimeValue(MilliSeconds(1))); // update the channel at each iteration
    Config::SetDefault("ns3::ThreeGppChannelConditionModel::UpdatePeriod",
                       TimeValue(MilliSeconds(0.0))); // do not update the channel condition
 
    RngSeedManager::SetSeed(1);
    RngSeedManager::SetRun(1);
 
    // create and configure the factories for the channel condition and propagation loss models
    ObjectFactory propagationLossModelFactory;
    ObjectFactory channelConditionModelFactory;
    if (scenario == "RMa")
    {
        propagationLossModelFactory.SetTypeId(ThreeGppRmaPropagationLossModel::GetTypeId());
        channelConditionModelFactory.SetTypeId(ThreeGppRmaChannelConditionModel::GetTypeId());
    }
    else if (scenario == "UMa")
    {
        propagationLossModelFactory.SetTypeId(ThreeGppUmaPropagationLossModel::GetTypeId());
        channelConditionModelFactory.SetTypeId(ThreeGppUmaChannelConditionModel::GetTypeId());
    }
    else if (scenario == "UMi-StreetCanyon")
    {
        propagationLossModelFactory.SetTypeId(
            ThreeGppUmiStreetCanyonPropagationLossModel::GetTypeId());
        channelConditionModelFactory.SetTypeId(
            ThreeGppUmiStreetCanyonChannelConditionModel::GetTypeId());
    }
    else if (scenario == "InH-OfficeOpen")
    {
        propagationLossModelFactory.SetTypeId(
            ThreeGppIndoorOfficePropagationLossModel::GetTypeId());
        channelConditionModelFactory.SetTypeId(
            ThreeGppIndoorOpenOfficeChannelConditionModel::GetTypeId());
    }
    else if (scenario == "InH-OfficeMixed")
    {
        propagationLossModelFactory.SetTypeId(
            ThreeGppIndoorOfficePropagationLossModel::GetTypeId());
        channelConditionModelFactory.SetTypeId(
            ThreeGppIndoorMixedOfficeChannelConditionModel::GetTypeId());
    }
    else
    {
        NS_FATAL_ERROR("Unknown scenario");
    }
 
    // create the propagation loss model
    m_propagationLossModel = propagationLossModelFactory.Create<ThreeGppPropagationLossModel>();
    m_propagationLossModel->SetAttribute("Frequency", DoubleValue(frequency));
    m_propagationLossModel->SetAttribute("ShadowingEnabled", BooleanValue(false));
 
    // create the spectrum propagation loss model
    m_spectrumLossModel = CreateObject<ThreeGppSpectrumPropagationLossModel>();
    m_spectrumLossModel->SetChannelModelAttribute("Frequency", DoubleValue(frequency));
    m_spectrumLossModel->SetChannelModelAttribute("Scenario", StringValue(scenario));
 
    // create the channel condition model and associate it with the spectrum and
    // propagation loss model
    Ptr<ChannelConditionModel> condModel =
        channelConditionModelFactory.Create<ThreeGppChannelConditionModel>();
    m_spectrumLossModel->SetChannelModelAttribute("ChannelConditionModel", PointerValue(condModel));
    m_propagationLossModel->SetChannelConditionModel(condModel);
 
    // create the tx and rx nodes
    NodeContainer nodes;
    nodes.Create(2);
 
    // create the tx and rx devices
    Ptr<SimpleNetDevice> txDev = CreateObject<SimpleNetDevice>();
    Ptr<SimpleNetDevice> rxDev = CreateObject<SimpleNetDevice>();
 
    // associate the nodes and the devices
    nodes.Get(0)->AddDevice(txDev);
    txDev->SetNode(nodes.Get(0));
    nodes.Get(1)->AddDevice(rxDev);
    rxDev->SetNode(nodes.Get(1));
 
    // create the tx and rx mobility models, set the positions
    Ptr<MobilityModel> txMob = CreateObject<ConstantPositionMobilityModel>();
    txMob->SetPosition(Vector(0.0, 0.0, 10.0));
    Ptr<MobilityModel> rxMob = CreateObject<ConstantPositionMobilityModel>();
    rxMob->SetPosition(Vector(distance, 0.0, 1.6));
 
    // assign the mobility models to the nodes
    nodes.Get(0)->AggregateObject(txMob);
    nodes.Get(1)->AggregateObject(rxMob);
 
    // create the antenna objects and set their dimensions
    Ptr<PhasedArrayModel> txAntenna =
        CreateObjectWithAttributes<UniformPlanarArray>("NumColumns",
                                                       UintegerValue(2),
                                                       "NumRows",
                                                       UintegerValue(2));
    Ptr<PhasedArrayModel> rxAntenna =
        CreateObjectWithAttributes<UniformPlanarArray>("NumColumns",
                                                       UintegerValue(2),
                                                       "NumRows",
                                                       UintegerValue(2));
 
    // set the beamforming vectors
    DoBeamforming(txDev, txAntenna, rxDev);
    DoBeamforming(rxDev, rxAntenna, txDev);
 
    for (int i = 0; i < floor(simTime / timeRes); i++)
    {
        ComputeSnrParams params{txMob, rxMob, txPow, noiseFigure, txAntenna, rxAntenna};
        Simulator::Schedule(MilliSeconds(timeRes * i), &ComputeSnr, params);
    }
 
    Simulator::Run();
    Simulator::Destroy();
    return 0;
}