three-gpp-channel-test-suite.cc

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/*
 * Copyright (c) 2019 SIGNET Lab, Department of Information Engineering,
 *
 * 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 "ns3/abort.h"
#include "ns3/angles.h"
#include "ns3/channel-condition-model.h"
#include "ns3/config.h"
#include "ns3/constant-position-mobility-model.h"
#include "ns3/double.h"
#include "ns3/ism-spectrum-value-helper.h"
#include "ns3/isotropic-antenna-model.h"
#include "ns3/log.h"
#include "ns3/node-container.h"
#include "ns3/pointer.h"
#include "ns3/rng-seed-manager.h"
#include "ns3/simple-net-device.h"
#include "ns3/simulator.h"
#include "ns3/spectrum-signal-parameters.h"
#include "ns3/string.h"
#include "ns3/test.h"
#include "ns3/three-gpp-antenna-model.h"
#include "ns3/three-gpp-channel-model.h"
#include "ns3/three-gpp-spectrum-propagation-loss-model.h"
#include "ns3/uinteger.h"
#include "ns3/uniform-planar-array.h"
 
#include <valarray>
 
using namespace ns3;
 
NS_LOG_COMPONENT_DEFINE("ThreeGppChannelTestSuite");
 
/**
 * \ingroup spectrum-tests
 *
 * Test case for the ThreeGppChannelModel class.
 * 1) check if the channel matrix has the correct dimensions
 * 2) check if the channel matrix is correctly normalized
 */
class ThreeGppChannelMatrixComputationTest : public TestCase
{
  public:
    /**
     *Constructor
     * \param txAntennaElements the number of rows and columns of the antenna array of the
     * transmitter
     * \param rxAntennaElements the number of rows and columns of the antenna array of
     * \param txPorts the number of vertical and horizontal ports of the antenna array
     * of the transmitter
     * \param rxPorts the number of vertical and horizontal ports of the antenna
     * array of the receiver
     */
    ThreeGppChannelMatrixComputationTest(uint32_t txAntennaElements = 2,
                                         uint32_t rxAntennaElements = 2,
                                         uint32_t txPorts = 1,
                                         uint32_t rxPorts = 1);
 
    /**
     * Destructor
     */
    ~ThreeGppChannelMatrixComputationTest() override;
 
  private:
    /**
     * Build the test scenario
     */
    void DoRun() override;
 
    /**
     * Compute the Frobenius norm of the channel matrix and stores it in m_normVector
     * \param channelModel the ThreeGppChannelModel object used to generate the channel matrix
     * \param txMob the mobility model of the first node
     * \param rxMob the mobility model of the second node
     * \param txAntenna the antenna object associated to the first node
     * \param rxAntenna the antenna object associated to the second node
     */
    void DoComputeNorm(Ptr<ThreeGppChannelModel> channelModel,
                       Ptr<MobilityModel> txMob,
                       Ptr<MobilityModel> rxMob,
                       Ptr<PhasedArrayModel> txAntenna,
                       Ptr<PhasedArrayModel> rxAntenna);
 
    std::vector<double> m_normVector; //!< each element is the norm of a channel realization
    uint32_t m_txAntennaElements{4};  //!< number of rows and columns of tx antenna array
    uint32_t m_rxAntennaElements{4};  //!< number of rows and columns of rx antenna array
    uint32_t m_txPorts{1}; //!< number of horizontal and vertical ports of tx antenna array
    uint32_t m_rxPorts{1}; //!< number of horizontal and vertical ports of rx antenna array
};
 
ThreeGppChannelMatrixComputationTest::ThreeGppChannelMatrixComputationTest(
    uint32_t txAntennaElements,
    uint32_t rxAntennaElements,
    uint32_t txPorts,
    uint32_t rxPorts)
    : TestCase("Check the dimensions and the norm of the channel matrix")
{
    m_txAntennaElements = txAntennaElements;
    m_rxAntennaElements = rxAntennaElements;
    m_txPorts = txPorts;
    m_rxPorts = rxPorts;
}
 
ThreeGppChannelMatrixComputationTest::~ThreeGppChannelMatrixComputationTest()
{
}
 
void
ThreeGppChannelMatrixComputationTest::DoComputeNorm(Ptr<ThreeGppChannelModel> channelModel,
                                                    Ptr<MobilityModel> txMob,
                                                    Ptr<MobilityModel> rxMob,
                                                    Ptr<PhasedArrayModel> txAntenna,
                                                    Ptr<PhasedArrayModel> rxAntenna)
{
    uint64_t txAntennaElements = txAntenna->GetNumElems();
    uint64_t rxAntennaElements = rxAntenna->GetNumElems();
 
    Ptr<const ThreeGppChannelModel::ChannelMatrix> channelMatrix =
        channelModel->GetChannel(txMob, rxMob, txAntenna, rxAntenna);
 
    double channelNorm = 0;
    uint16_t numTotalClusters = channelMatrix->m_channel.GetNumPages();
    for (uint16_t cIndex = 0; cIndex < numTotalClusters; cIndex++)
    {
        double clusterNorm = 0;
        for (uint64_t sIndex = 0; sIndex < txAntennaElements; sIndex++)
        {
            for (uint64_t uIndex = 0; uIndex < rxAntennaElements; uIndex++)
            {
                clusterNorm +=
                    std::pow(std::abs(channelMatrix->m_channel(uIndex, sIndex, cIndex)), 2);
            }
        }
        channelNorm += clusterNorm;
    }
    m_normVector.push_back(channelNorm);
}
 
void
ThreeGppChannelMatrixComputationTest::DoRun()
{
    RngSeedManager::SetSeed(1);
    RngSeedManager::SetRun(1);
    // Build the scenario for the test
    uint32_t updatePeriodMs = 100; // update period in ms
 
    // create the channel condition model
    Ptr<ChannelConditionModel> channelConditionModel =
        CreateObject<NeverLosChannelConditionModel>();
 
    // create the ThreeGppChannelModel object used to generate the channel matrix
    Ptr<ThreeGppChannelModel> channelModel = CreateObject<ThreeGppChannelModel>();
    channelModel->SetAttribute("Frequency", DoubleValue(60.0e9));
    channelModel->SetAttribute("Scenario", StringValue("RMa"));
    channelModel->SetAttribute("ChannelConditionModel", PointerValue(channelConditionModel));
    channelModel->SetAttribute("UpdatePeriod", TimeValue(MilliSeconds(updatePeriodMs - 1)));
    channelModel->AssignStreams(1);
 
    // 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 and set their positions
    Ptr<MobilityModel> txMob = CreateObject<ConstantPositionMobilityModel>();
    txMob->SetPosition(Vector(0.0, 0.0, 10.0));
    Ptr<MobilityModel> rxMob = CreateObject<ConstantPositionMobilityModel>();
    rxMob->SetPosition(Vector(100.0, 0.0, 10.0));
 
    // associate the nodes and the mobility models
    nodes.Get(0)->AggregateObject(txMob);
    nodes.Get(1)->AggregateObject(rxMob);
 
    // create the tx and rx antennas and set the their dimensions
    Ptr<PhasedArrayModel> txAntenna = CreateObjectWithAttributes<UniformPlanarArray>(
        "NumColumns",
        UintegerValue(m_txAntennaElements),
        "NumRows",
        UintegerValue(m_txAntennaElements),
        "AntennaElement",
        PointerValue(CreateObject<IsotropicAntennaModel>()),
        "NumVerticalPorts",
        UintegerValue(m_txPorts),
        "NumHorizontalPorts",
        UintegerValue(m_txPorts));
 
    Ptr<PhasedArrayModel> rxAntenna = CreateObjectWithAttributes<UniformPlanarArray>(
        "NumColumns",
        UintegerValue(m_rxAntennaElements),
        "NumRows",
        UintegerValue(m_rxAntennaElements),
        "AntennaElement",
        PointerValue(CreateObject<IsotropicAntennaModel>()),
        "NumVerticalPorts",
        UintegerValue(m_rxPorts),
        "NumHorizontalPorts",
        UintegerValue(m_rxPorts));
    // generate the channel matrix
    Ptr<const ThreeGppChannelModel::ChannelMatrix> channelMatrix =
        channelModel->GetChannel(txMob, rxMob, txAntenna, rxAntenna);
 
    // check the channel matrix dimensions, expected H[cluster][rx][tx]
    NS_TEST_ASSERT_MSG_EQ(
        channelMatrix->m_channel.GetNumCols(),
        m_txAntennaElements * m_txAntennaElements,
        "The third dimension of H should be equal to the number of tx antenna elements");
    NS_TEST_ASSERT_MSG_EQ(
        channelMatrix->m_channel.GetNumRows(),
        m_rxAntennaElements * m_rxAntennaElements,
        "The second dimension of H should be equal to the number of rx antenna elements");
 
    // test if the channel matrix is correctly generated
    uint16_t numIt = 1000;
    for (uint16_t i = 0; i < numIt; i++)
    {
        Simulator::Schedule(MilliSeconds(updatePeriodMs * i),
                            &ThreeGppChannelMatrixComputationTest::DoComputeNorm,
                            this,
                            channelModel,
                            txMob,
                            rxMob,
                            txAntenna,
                            rxAntenna);
    }
 
    Simulator::Run();
 
    // compute the sample mean
    double sampleMean = 0;
    for (auto i : m_normVector)
    {
        sampleMean += i;
    }
    sampleMean /= numIt;
 
    // compute the sample standard deviation
    double sampleStd = 0;
    for (auto i : m_normVector)
    {
        sampleStd += ((i - sampleMean) * (i - sampleMean));
    }
    sampleStd = std::sqrt(sampleStd / (numIt - 1));
 
    // perform the one sample t-test with a significance level of 0.05 to test
    // the hypothesis "E [|H|^2] = M*N, where |H| indicates the Frobenius norm of
    // H, M is the number of transmit antenna elements, and N is the number of
    // the receive antenna elements"
    double t = (sampleMean - m_txAntennaElements * m_txAntennaElements * m_rxAntennaElements *
                                 m_rxAntennaElements) /
               (sampleStd / std::sqrt(numIt));
 
    // Using a significance level of 0.05, we reject the null hypothesis if |t| is
    // greater than the critical value from a t-distribution with df = numIt-1
    NS_TEST_ASSERT_MSG_EQ_TOL(
        std::abs(t),
        0,
        1.65,
        "We reject the hypothesis E[|H|^2] = M*N with a significance level of 0.05");
 
    Simulator::Destroy();
}
 
/**
 * \ingroup spectrum-tests
 *
 * Test case for the ThreeGppChannelModel class.
 * It checks if the channel realizations are correctly updated during the
 * simulation.
 */
class ThreeGppChannelMatrixUpdateTest : public TestCase
{
  public:
    /**
     *Constructor
     * \param txAntennaElements the number of rows and columns of the antenna array of the
     * transmitter
     * \param rxAntennaElements the number of rows and columns of the antenna array of
     * \param txPorts the number of vertical and horizontal ports of the antenna array
     * of the transmitter
     * \param rxPorts the number of vertical and horizontal ports of the antenna
     * array of the receiver
     */
    ThreeGppChannelMatrixUpdateTest(uint32_t txAntennaElements = 2,
                                    uint32_t rxAntennaElements = 4,
                                    uint32_t txPorts = 1,
                                    uint32_t rxPorts = 1);
 
    /**
     * Destructor
     */
    ~ThreeGppChannelMatrixUpdateTest() override;
 
  private:
    /**
     * Build the test scenario
     */
    void DoRun() override;
 
    /**
     * This method is used to schedule the channel matrix computation at different
     * time instants and to check if it correctly updated
     * \param channelModel the ThreeGppChannelModel object used to generate the channel matrix
     * \param txMob the mobility model of the first node
     * \param rxMob the mobility model of the second node
     * \param txAntenna the antenna object associated to the first node
     * \param rxAntenna the antenna object associated to the second node
     * \param update whether if the channel matrix should be updated or not
     */
    void DoGetChannel(Ptr<ThreeGppChannelModel> channelModel,
                      Ptr<MobilityModel> txMob,
                      Ptr<MobilityModel> rxMob,
                      Ptr<PhasedArrayModel> txAntenna,
                      Ptr<PhasedArrayModel> rxAntenna,
                      bool update);
 
    Ptr<const ThreeGppChannelModel::ChannelMatrix>
        m_currentChannel;            //!< used by DoGetChannel to store the current channel matrix
    uint32_t m_txAntennaElements{4}; //!< number of rows and columns of tx antenna array
    uint32_t m_rxAntennaElements{4}; //!< number of rows and columns of rx antenna array
    uint32_t m_txPorts{1}; //!< number of horizontal and vertical ports of tx antenna array
    uint32_t m_rxPorts{1}; //!< number of horizontal and vertical ports of rx antenna array
};
 
ThreeGppChannelMatrixUpdateTest::ThreeGppChannelMatrixUpdateTest(uint32_t txAntennaElements,
                                                                 uint32_t rxAntennaElements,
                                                                 uint32_t txPorts,
                                                                 uint32_t rxPorts)
    : TestCase("Check if the channel realizations are correctly updated during the simulation")
{
    m_txAntennaElements = txAntennaElements;
    m_rxAntennaElements = rxAntennaElements;
    m_txPorts = txPorts;
    m_rxPorts = rxPorts;
}
 
ThreeGppChannelMatrixUpdateTest::~ThreeGppChannelMatrixUpdateTest()
{
}
 
void
ThreeGppChannelMatrixUpdateTest::DoGetChannel(Ptr<ThreeGppChannelModel> channelModel,
                                              Ptr<MobilityModel> txMob,
                                              Ptr<MobilityModel> rxMob,
                                              Ptr<PhasedArrayModel> txAntenna,
                                              Ptr<PhasedArrayModel> rxAntenna,
                                              bool update)
{
    // retrieve the channel matrix
    Ptr<const ThreeGppChannelModel::ChannelMatrix> channelMatrix =
        channelModel->GetChannel(txMob, rxMob, txAntenna, rxAntenna);
 
    if (!m_currentChannel)
    {
        // this is the first time we compute the channel matrix, we initialize
        // m_currentChannel
        m_currentChannel = channelMatrix;
    }
    else
    {
        // compare the old and the new channel matrices
        NS_TEST_ASSERT_MSG_EQ((m_currentChannel->m_channel != channelMatrix->m_channel),
                              update,
                              Simulator::Now().GetMilliSeconds()
                                  << " The channel matrix is not correctly updated");
    }
}
 
void
ThreeGppChannelMatrixUpdateTest::DoRun()
{
    // Build the scenario for the test
    uint32_t updatePeriodMs = 100; // update period in ms
 
    // create the channel condition model
    Ptr<ChannelConditionModel> channelConditionModel =
        CreateObject<AlwaysLosChannelConditionModel>();
 
    // create the ThreeGppChannelModel object used to generate the channel matrix
    Ptr<ThreeGppChannelModel> channelModel = CreateObject<ThreeGppChannelModel>();
    channelModel->SetAttribute("Frequency", DoubleValue(60.0e9));
    channelModel->SetAttribute("Scenario", StringValue("UMa"));
    channelModel->SetAttribute("ChannelConditionModel", PointerValue(channelConditionModel));
    channelModel->SetAttribute("UpdatePeriod", TimeValue(MilliSeconds(updatePeriodMs)));
 
    // 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 and set their positions
    Ptr<MobilityModel> txMob = CreateObject<ConstantPositionMobilityModel>();
    txMob->SetPosition(Vector(0.0, 0.0, 10.0));
    Ptr<MobilityModel> rxMob = CreateObject<ConstantPositionMobilityModel>();
    rxMob->SetPosition(Vector(100.0, 0.0, 1.6));
 
    // associate the nodes and the mobility models
    nodes.Get(0)->AggregateObject(txMob);
    nodes.Get(1)->AggregateObject(rxMob);
 
    // create the tx and rx antennas and set the their dimensions
    Ptr<PhasedArrayModel> txAntenna = CreateObjectWithAttributes<UniformPlanarArray>(
        "NumColumns",
        UintegerValue(m_txAntennaElements),
        "NumRows",
        UintegerValue(m_txAntennaElements),
        "AntennaElement",
        PointerValue(CreateObject<IsotropicAntennaModel>()),
        "NumVerticalPorts",
        UintegerValue(m_txPorts),
        "NumHorizontalPorts",
        UintegerValue(m_txPorts));
 
    Ptr<PhasedArrayModel> rxAntenna = CreateObjectWithAttributes<UniformPlanarArray>(
        "NumColumns",
        UintegerValue(m_rxAntennaElements),
        "NumRows",
        UintegerValue(m_rxAntennaElements),
        "AntennaElement",
        PointerValue(CreateObject<IsotropicAntennaModel>()),
        "NumVerticalPorts",
        UintegerValue(m_rxPorts),
        "NumHorizontalPorts",
        UintegerValue(m_rxPorts));
 
    // check if the channel matrix is correctly updated
 
    // compute the channel matrix for the first time
    uint32_t firstTimeMs =
        1; // time instant at which the channel matrix is generated for the first time
    Simulator::Schedule(MilliSeconds(firstTimeMs),
                        &ThreeGppChannelMatrixUpdateTest::DoGetChannel,
                        this,
                        channelModel,
                        txMob,
                        rxMob,
                        txAntenna,
                        rxAntenna,
                        true);
 
    // call GetChannel before the update period is exceeded, the channel matrix
    // should not be updated
    Simulator::Schedule(MilliSeconds(firstTimeMs + updatePeriodMs / 2),
                        &ThreeGppChannelMatrixUpdateTest::DoGetChannel,
                        this,
                        channelModel,
                        txMob,
                        rxMob,
                        txAntenna,
                        rxAntenna,
                        false);
 
    // call GetChannel when the update period is exceeded, the channel matrix
    // should be recomputed
    Simulator::Schedule(MilliSeconds(firstTimeMs + updatePeriodMs + 1),
                        &ThreeGppChannelMatrixUpdateTest::DoGetChannel,
                        this,
                        channelModel,
                        txMob,
                        rxMob,
                        txAntenna,
                        rxAntenna,
                        true);
 
    Simulator::Run();
    Simulator::Destroy();
}
 
/**
 * \ingroup spectrum-tests
 * \brief A structure that holds the parameters for the function
 * CheckLongTermUpdate. In this way the problem with the limited
 * number of parameters of method Schedule is avoided.
 */
struct CheckLongTermUpdateParams
{
    Ptr<ThreeGppSpectrumPropagationLossModel>
        lossModel; //!< the ThreeGppSpectrumPropagationLossModel object used to compute the rx PSD
    Ptr<SpectrumSignalParameters> txParams; //!< the params of the tx signal
    Ptr<MobilityModel> txMob;               //!< the mobility model of the tx device
    Ptr<MobilityModel> rxMob;               //!< the mobility model of the rx device
    Ptr<SpectrumValue> rxPsdOld;            //!< the previously received PSD
    Ptr<PhasedArrayModel> txAntenna;        //!< the antenna array of the tx device
    Ptr<PhasedArrayModel> rxAntenna;        //!< the antenna array of the rx device
};
 
/**
 * \ingroup spectrum-tests
 *
 * Test case for the ThreeGppSpectrumPropagationLossModelTest class.
 * 1) checks if the long term components for the direct and the reverse link
 *    are the same
 * 2) checks if the long term component is updated when changing the beamforming
 *    vectors
 * 3) checks if the long term is updated when changing the channel matrix
 */
class ThreeGppSpectrumPropagationLossModelTest : public TestCase
{
  public:
    /**
     * Constructor
     * \param txAntennaElements the number of rows and columns of the antenna array of the
     * transmitter
     * \param rxAntennaElements the number of rows and columns of the antenna array of
     * the receiver
     * \param txPorts the number of vertical and horizontal ports of the antenna array
     * of the transmitter
     * \param rxPorts the number of vertical and horizontal ports of the antenna
     * array of the receiver
     */
    ThreeGppSpectrumPropagationLossModelTest(uint32_t txAntennaElements = 4,
                                             uint32_t rxAntennaElements = 4,
                                             uint32_t txPorts = 1,
                                             uint32_t rxPorts = 1);
    /**
     * Destructor
     */
    ~ThreeGppSpectrumPropagationLossModelTest() override;
 
  private:
    /**
     * Build the test scenario
     */
    void DoRun() override;
 
    /**
     * Points the beam of thisDevice towards otherDevice
     * \param thisDevice the device to configure
     * \param thisAntenna the antenna object associated to thisDevice
     * \param otherDevice the device to communicate with
     * \param otherAntenna the antenna object associated to otherDevice
     */
    void DoBeamforming(Ptr<NetDevice> thisDevice,
                       Ptr<PhasedArrayModel> thisAntenna,
                       Ptr<NetDevice> otherDevice,
                       Ptr<PhasedArrayModel> otherAntenna);
 
    /**
     * Test of the long term component is correctly updated when the channel
     * matrix is recomputed
     * \param params a structure that contains the set of parameters needed by CheckLongTermUpdate
     * in order to perform calculations
     */
    void CheckLongTermUpdate(const CheckLongTermUpdateParams& params);
 
    uint32_t m_txAntennaElements{4}; //!< number of rows and columns of tx antenna array
    uint32_t m_rxAntennaElements{4}; //!< number of rows and columns of rx antenna array
    uint32_t m_txPorts{1}; //!< number of horizontal and vertical ports of tx antenna array
    uint32_t m_rxPorts{1}; //!< number of horizontal and vertical ports of rx antenna array
};
 
ThreeGppSpectrumPropagationLossModelTest::ThreeGppSpectrumPropagationLossModelTest(
    uint32_t txAntennaElements,
    uint32_t rxAntennaElements,
    uint32_t txPorts,
    uint32_t rxPorts)
    : TestCase("Test case for the ThreeGppSpectrumPropagationLossModel class")
{
    m_txAntennaElements = txAntennaElements;
    m_rxAntennaElements = rxAntennaElements;
    m_txPorts = txPorts;
    m_rxPorts = rxPorts;
}
 
ThreeGppSpectrumPropagationLossModelTest::~ThreeGppSpectrumPropagationLossModelTest()
{
}
 
void
ThreeGppSpectrumPropagationLossModelTest::DoBeamforming(Ptr<NetDevice> thisDevice,
                                                        Ptr<PhasedArrayModel> thisAntenna,
                                                        Ptr<NetDevice> otherDevice,
                                                        Ptr<PhasedArrayModel> otherAntenna)
{
    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);
 
    PhasedArrayModel::ComplexVector antennaWeights =
        thisAntenna->GetBeamformingVector(completeAngle);
    thisAntenna->SetBeamformingVector(antennaWeights);
}
 
void
ThreeGppSpectrumPropagationLossModelTest::CheckLongTermUpdate(
    const CheckLongTermUpdateParams& params)
{
    auto rxPsdNewParams = params.lossModel->DoCalcRxPowerSpectralDensity(params.txParams,
                                                                         params.txMob,
                                                                         params.rxMob,
                                                                         params.txAntenna,
                                                                         params.rxAntenna);
    NS_TEST_ASSERT_MSG_EQ((*params.rxPsdOld == *rxPsdNewParams->psd),
                          false,
                          "The long term is not updated when the channel matrix is recomputed");
}
 
void
ThreeGppSpectrumPropagationLossModelTest::DoRun()
{
    // Build the scenario for the test
    Config::SetDefault("ns3::ThreeGppChannelModel::UpdatePeriod", TimeValue(MilliSeconds(100)));
 
    // create the ChannelConditionModel object to be used to retrieve the
    // channel condition
    Ptr<ChannelConditionModel> condModel = CreateObject<AlwaysLosChannelConditionModel>();
 
    // create the ThreeGppSpectrumPropagationLossModel object, set frequency,
    // scenario and channel condition model to be used
    Ptr<ThreeGppSpectrumPropagationLossModel> lossModel =
        CreateObject<ThreeGppSpectrumPropagationLossModel>();
    lossModel->SetChannelModelAttribute("Frequency", DoubleValue(2.4e9));
    lossModel->SetChannelModelAttribute("Scenario", StringValue("UMa"));
    lossModel->SetChannelModelAttribute(
        "ChannelConditionModel",
        PointerValue(condModel)); // create the ThreeGppChannelModel object used to generate the
                                  // channel matrix
 
    // 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 and set their positions
    Ptr<MobilityModel> txMob = CreateObject<ConstantPositionMobilityModel>();
    txMob->SetPosition(Vector(0.0, 0.0, 10.0));
    Ptr<MobilityModel> rxMob = CreateObject<ConstantPositionMobilityModel>();
    rxMob->SetPosition(
        Vector(15.0, 0.0, 10.0)); // in this position the channel condition is always LOS
 
    // associate the nodes and the mobility models
    nodes.Get(0)->AggregateObject(txMob);
    nodes.Get(1)->AggregateObject(rxMob);
 
    // create the tx and rx antennas and set the their dimensions
    Ptr<PhasedArrayModel> txAntenna = CreateObjectWithAttributes<UniformPlanarArray>(
        "NumColumns",
        UintegerValue(m_txAntennaElements),
        "NumRows",
        UintegerValue(m_rxAntennaElements),
        "AntennaElement",
        PointerValue(CreateObject<IsotropicAntennaModel>()),
        "NumVerticalPorts",
        UintegerValue(m_txPorts),
        "NumHorizontalPorts",
        UintegerValue(m_txPorts));
 
    Ptr<PhasedArrayModel> rxAntenna = CreateObjectWithAttributes<UniformPlanarArray>(
        "NumColumns",
        UintegerValue(m_rxAntennaElements),
        "NumRows",
        UintegerValue(m_rxAntennaElements),
        "AntennaElement",
        PointerValue(CreateObject<IsotropicAntennaModel>()),
        "NumVerticalPorts",
        UintegerValue(m_rxPorts),
        "NumHorizontalPorts",
        UintegerValue(m_rxPorts));
 
    // set the beamforming vectors
    DoBeamforming(txDev, txAntenna, rxDev, rxAntenna);
    DoBeamforming(rxDev, rxAntenna, txDev, txAntenna);
 
    // create the tx psd
    SpectrumValue5MhzFactory sf;
    double txPower = 0.1; // Watts
    uint32_t channelNumber = 1;
    Ptr<SpectrumValue> txPsd = sf.CreateTxPowerSpectralDensity(txPower, channelNumber);
    Ptr<SpectrumSignalParameters> txParams = Create<SpectrumSignalParameters>();
    txParams->psd = txPsd->Copy();
 
    // compute the rx psd
    auto rxParamsOld =
        lossModel->DoCalcRxPowerSpectralDensity(txParams, txMob, rxMob, txAntenna, rxAntenna);
 
    // 1) check that the rx PSD is equal for both the direct and the reverse channel
    auto rxParamsNew =
        lossModel->DoCalcRxPowerSpectralDensity(txParams, rxMob, txMob, rxAntenna, txAntenna);
    NS_TEST_ASSERT_MSG_EQ((*rxParamsOld->psd == *rxParamsNew->psd),
                          true,
                          "The long term for the direct and the reverse channel are different");
 
    // 2) check if the long term is updated when changing the BF vector
    // change the position of the rx device and recompute the beamforming vectors
    rxMob->SetPosition(Vector(10.0, 5.0, 10.0));
    PhasedArrayModel::ComplexVector txBfVector = txAntenna->GetBeamformingVector();
    txBfVector[0] = std::complex<double>(0.0, 0.0);
    txAntenna->SetBeamformingVector(txBfVector);
 
    rxParamsNew =
        lossModel->DoCalcRxPowerSpectralDensity(txParams, rxMob, txMob, rxAntenna, txAntenna);
    NS_TEST_ASSERT_MSG_EQ((*rxParamsOld->psd == *rxParamsNew->psd),
                          false,
                          "Changing the BF vectors the rx PSD does not change");
 
    NS_TEST_ASSERT_MSG_EQ(
        (*rxParamsOld->spectrumChannelMatrix == *rxParamsNew->spectrumChannelMatrix),
        false,
        "Changing the BF should change de frequency domain channel matrix");
 
    // update rxPsdOld
    rxParamsOld = rxParamsNew;
 
    // 3) check if the long term is updated when the channel matrix is recomputed
    CheckLongTermUpdateParams
        params{lossModel, txParams, txMob, rxMob, rxParamsOld->psd, txAntenna, rxAntenna};
    Simulator::Schedule(MilliSeconds(101),
                        &ThreeGppSpectrumPropagationLossModelTest::CheckLongTermUpdate,
                        this,
                        params);
 
    Simulator::Run();
    Simulator::Destroy();
}
 
/**
 * \ingroup spectrum-tests
 *
 * Test case that test the correct use of the multi-port antennas in spectrum.
 * The test does the following:
 * 1) Generates a time domain channel matrix of a fixed size
 * (num gNB elements = 32 (4x8), num UE elements = 16 (4x4), num Clusters).
 * This matrix is called channelMatrixM0.
 * 2) Divides gNB antenna and UE antenna into ports using a fixed element to port
 * mapping (gNB: 1 vertical port, 4 horizontal ports, UE: 1 vertical port,
 * 2 horizontal ports). Using the channelMatrixM0, it generates port to port
 * long term channel matrix using the both gNB and UE having beams directed towards the other.
 * The resulting long term matrix dimensions are gNBports = 4, UE ports = 2, num Clusters.
 * This channel matrix is called matrixA.
 * 3) Constructs a single port to single port long term channel matrix
 * using the initial time domain channel matrix (channelMatrixM0) and beams
 * from gNB and UE towards each other. Single port mapping means gNB: 1 vertical port,
 * 1 horizontal port, UE: 1 vertical port, 1 horizontal port.
 * Matrix dimensions are: gNBports = 1, UE ports = 1, num Clusters. This long
 * term channel matrix is called matrixB.
 * 4) Creates a single port to single port long term channel matrix between
 * two virtual gNB and UE antenna by using matrixA and beam facing each other.
 * Matrix dimension of the resulting matrix are gNBports = 1, UE ports = 1, num Clusters.
 * This long term channel matrix is called matrixC.
 * 5) Checks that matrixB and matrixC are identical.
 */
class ThreeGppCalcLongTermMultiPortTest : public TestCase
{
  public:
    /**
     * Constructor
     */
    ThreeGppCalcLongTermMultiPortTest();
 
    /**
     * Destructor
     */
    ~ThreeGppCalcLongTermMultiPortTest() override;
 
  private:
    /**
     * Build the test scenario
     */
    void DoRun() override;
};
 
ThreeGppCalcLongTermMultiPortTest::ThreeGppCalcLongTermMultiPortTest()
    : TestCase("Check long term channel matrix generation when multiple ports at TX and RX are "
               "being used.")
{
}
 
ThreeGppCalcLongTermMultiPortTest::~ThreeGppCalcLongTermMultiPortTest()
{
}
 
void
ThreeGppCalcLongTermMultiPortTest::DoRun()
{
    // create the channel condition model
    Ptr<ChannelConditionModel> channelConditionModel =
        CreateObject<AlwaysLosChannelConditionModel>();
 
    // create the ThreeGppChannelModel object used to generate the channel matrix
    Ptr<ThreeGppChannelModel> channelModel = CreateObject<ThreeGppChannelModel>();
    channelModel->SetAttribute("Frequency", DoubleValue(2.0e9));
    channelModel->SetAttribute("Scenario", StringValue("RMa"));
    channelModel->SetAttribute("ChannelConditionModel", PointerValue(channelConditionModel));
 
    // 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 and set their positions
    Ptr<MobilityModel> txMob = CreateObject<ConstantPositionMobilityModel>();
    txMob->SetPosition(Vector(0.0, 0.0, 10.0));
    Ptr<MobilityModel> rxMob = CreateObject<ConstantPositionMobilityModel>();
    rxMob->SetPosition(Vector(10.0, 0.0, 10.0));
 
    // associate the nodes and the mobility models
    nodes.Get(0)->AggregateObject(txMob);
    nodes.Get(1)->AggregateObject(rxMob);
 
    // create the tx and rx antennas and set the their dimensions
    Ptr<PhasedArrayModel> txAntenna1 = CreateObjectWithAttributes<UniformPlanarArray>(
        "NumColumns",
        UintegerValue(8),
        "NumRows",
        UintegerValue(4),
        "AntennaElement",
        PointerValue(CreateObject<IsotropicAntennaModel>()),
        "NumVerticalPorts",
        UintegerValue(1),
        "NumHorizontalPorts",
        UintegerValue(4));
 
    Ptr<PhasedArrayModel> rxAntenna1 = CreateObjectWithAttributes<UniformPlanarArray>(
        "NumColumns",
        UintegerValue(4),
        "NumRows",
        UintegerValue(4),
        "AntennaElement",
        PointerValue(CreateObject<IsotropicAntennaModel>()),
        "NumVerticalPorts",
        UintegerValue(1),
        "NumHorizontalPorts",
        UintegerValue(2));
 
    // compute the azimuth and the elevation angles
    Angles completeAngleTxRx(rxMob->GetPosition(), txMob->GetPosition());
    Angles completeAngleRxTx(txMob->GetPosition(), rxMob->GetPosition());
 
    txAntenna1->SetBeamformingVector(txAntenna1->GetBeamformingVector(completeAngleTxRx));
    rxAntenna1->SetBeamformingVector(rxAntenna1->GetBeamformingVector(completeAngleRxTx));
 
    // generate the channel matrix
    Ptr<const ThreeGppChannelModel::ChannelMatrix> channelMatrixM0 =
        channelModel->GetChannel(txMob, rxMob, txAntenna1, rxAntenna1);
 
    // create ThreeGppSpectrumPropagationLossModel instance so that we
    // can call CalcLongTerm
    Ptr<const ThreeGppSpectrumPropagationLossModel> threeGppSplm =
        CreateObject<ThreeGppSpectrumPropagationLossModel>();
 
    Ptr<const MatrixBasedChannelModel::Complex3DVector> matrixA =
        threeGppSplm->CalcLongTerm(channelMatrixM0, txAntenna1, rxAntenna1);
 
    // create the tx and rx antennas and set the their dimensions
    Ptr<PhasedArrayModel> txAntenna2 = CreateObjectWithAttributes<UniformPlanarArray>(
        "NumColumns",
        UintegerValue(8),
        "NumRows",
        UintegerValue(4),
        "AntennaElement",
        PointerValue(CreateObject<IsotropicAntennaModel>()),
        "NumVerticalPorts",
        UintegerValue(1),
        "NumHorizontalPorts",
        UintegerValue(1));
 
    Ptr<PhasedArrayModel> rxAntenna2 = CreateObjectWithAttributes<UniformPlanarArray>(
        "NumColumns",
        UintegerValue(4),
        "NumRows",
        UintegerValue(4),
        "AntennaElement",
        PointerValue(CreateObject<IsotropicAntennaModel>()),
        "NumVerticalPorts",
        UintegerValue(1),
        "NumHorizontalPorts",
        UintegerValue(1));
 
    txAntenna2->SetBeamformingVector(txAntenna2->GetBeamformingVector(completeAngleTxRx));
    rxAntenna2->SetBeamformingVector(rxAntenna2->GetBeamformingVector(completeAngleRxTx));
 
    Ptr<const MatrixBasedChannelModel::Complex3DVector> matrixB =
        threeGppSplm->CalcLongTerm(channelMatrixM0, txAntenna2, rxAntenna2);
 
    // create the tx and rx antennas and set the their dimensions
    Ptr<PhasedArrayModel> txAntenna3 = CreateObjectWithAttributes<UniformPlanarArray>(
        "NumColumns",
        UintegerValue(4),
        "NumRows",
        UintegerValue(1),
        "AntennaElement",
        PointerValue(CreateObject<IsotropicAntennaModel>()),
        "NumVerticalPorts",
        UintegerValue(1),
        "NumHorizontalPorts",
        UintegerValue(1),
        "AntennaHorizontalSpacing",
        DoubleValue(1));
 
    Ptr<PhasedArrayModel> rxAntenna3 = CreateObjectWithAttributes<UniformPlanarArray>(
        "NumColumns",
        UintegerValue(2),
        "NumRows",
        UintegerValue(1),
        "AntennaElement",
        PointerValue(CreateObject<IsotropicAntennaModel>()),
        "NumVerticalPorts",
        UintegerValue(1),
        "NumHorizontalPorts",
        UintegerValue(1),
        "AntennaHorizontalSpacing",
        DoubleValue(1));
 
    Ptr<ThreeGppChannelModel::ChannelMatrix> channelMatrixMA =
        Create<ThreeGppChannelModel::ChannelMatrix>();
    channelMatrixMA->m_channel = *matrixA;
 
    txAntenna3->SetBeamformingVector(txAntenna3->GetBeamformingVector(completeAngleTxRx));
    rxAntenna3->SetBeamformingVector(rxAntenna3->GetBeamformingVector(completeAngleRxTx));
 
    Ptr<const MatrixBasedChannelModel::Complex3DVector> matrixC =
        threeGppSplm->CalcLongTerm(channelMatrixMA, txAntenna3, rxAntenna3);
 
    NS_TEST_ASSERT_MSG_EQ(matrixB->IsAlmostEqual(*matrixC, 1e-6),
                          true,
                          "Matrix B and Matrix C should be equal.");
 
    Simulator::Run();
    Simulator::Destroy();
}
 
/**
 * Structure that contains some of the main configuration parameters of the antenna
 * array that are used in the ThreeGppMimoPolarizationTest
 */
struct MimoPolarizationAntennaParams
{
    uint32_t m_rows = 1;        //!< the number of rows of antenna array
    uint32_t m_cols = 2;        //!< the number of columns of antenna array
    uint32_t m_vPorts = 1;      //!< the number of vertical ports of antenna array
    uint32_t m_hPorts = 2;      //!< the number of horizontal ports of antenna array
    bool m_isotropic = false;   //!< defines whether the antenna elements are isotropic
    double m_polSlantAngle = 0; //!< polarization angle of the antenna array
    double m_bearingAngle = 0;  //!< bearing angle of the antenna array
 
    /**
     * Constructor
     * Currently only configurable through constructor are polSlantAngle and bearingAngle.
     * \param isotropic whether the antenna elements are isotropic, or 3GPP
     * \param polSlantAngle the polarization slant angle
     * \param bearingAngle the bearing angle
     */
    MimoPolarizationAntennaParams(bool isotropic, double polSlantAngle = 0, double bearingAngle = 0)
        : m_isotropic(isotropic),
          m_polSlantAngle(polSlantAngle),
          m_bearingAngle(bearingAngle)
    {
    }
};
 
/**
 * \ingroup spectrum-tests
 * This test tests that the channel matrix is correctly generated when dual-polarized
 * antennas are being used at TX and RX. In the conditions in which the channel between
 * the TX and Rx device is LOS channel, and the beams of the transmitter and the
 * receiver are pointing one towards the other, then in the presence of multiple ports
 * at the TX and RX, and the antenna array at the TX and RX are dual polarized,
 * the channel matrix should exhibit the strong symmetry between the two polarizations.
 * E.g. if we have 1x2 antenna elements and two polarizations at both TX and RX,
 * and the 1x2 ports at the TX and RX, then the channel matrix will have the
 * structure as:
 *
 *                ch00 ch01 |ch02 ch03
 *   Hvv  Hvh     ch10 ch11 |ch12 ch13
 *             =  --------------------
 *   Hhv  Hhh     ch20 ch21 |ch22 ch23
 *                ch30 ch31 |ch32 ch33
 *
 * We test different cases of the polarization slant angles of the TX and RX,
 * e.g., 0, 30, 45, 90.
 * In each of these setups we check if the channel matrix in its strongest
 * cluster experiences strong symmetry, and if the values appear in pairs.
 * We also test additional cases in which we change the bearing angle and
 * the height of the TX. In these cases we also observe strong symmetry, with
 * the difference that in these cases we can observe different values in the
 * pairs. We can still observe strong impact of the dual polarization on the
 * channel matrix.
 */
class ThreeGppMimoPolarizationTest : public TestCase
{
  public:
    /**
     * Constructor that receives MIMO polarization parameters of TX and RX
     * devices
     * \param testCaseName the test case name
     * \param txLoc the position of the transmitter
     * \param txAntennaParams the antenna parameters of the transmitter
     * \param rxLoc the position of the receiver
     * \param rxAntennaParams the antenna parameters of the receiver
     * \param testChannel the test matrix that represent the strongest cluster
     * \param tolerance the tolerance to be used when testing
     */
    ThreeGppMimoPolarizationTest(std::string testCaseName,
                                 Vector txLoc,
                                 const MimoPolarizationAntennaParams& txAntennaParams,
                                 Vector rxLoc,
                                 const MimoPolarizationAntennaParams& rxAntennaParams,
                                 std::valarray<std::complex<double>> testChannel,
                                 double tolerance);
 
    /**
     * Destructor
     */
    ~ThreeGppMimoPolarizationTest() override;
 
  private:
    /**
     * Build the test scenario
     */
    void DoRun() override;
 
    /**
     * @brief Function that can be used to configure the antenna using the set of
     * parameters.
     *
     * @param params The parameters to be set to the antenna
     * @return A pointer to the antenna that is created and configured by using input params
     */
    Ptr<PhasedArrayModel> CreateAndConfigureAntenna(const MimoPolarizationAntennaParams& params);
 
    Vector m_txLoc;                           //!< Position of the TX device
    MimoPolarizationAntennaParams m_txParams; //!< Parameters used to configure the TX antenna array
    Vector m_rxLoc;                           //!< Position of the RX device
    MimoPolarizationAntennaParams m_rxParams; //!< Parameters used to configure the RX antenna array
    std::valarray<std::complex<double>>
        m_testChannel;  //!< The test value for the matrix representing the strongest cluster
    double m_tolerance; //!< The tolerance to be used when comparing the channel matrix with the
                        //!< test matrix
};
 
ThreeGppMimoPolarizationTest::ThreeGppMimoPolarizationTest(
    std::string testCaseName,
    Vector txLoc,
    const MimoPolarizationAntennaParams& txParams,
    Vector rxLoc,
    const MimoPolarizationAntennaParams& rxParams,
    std::valarray<std::complex<double>> testChannel,
    double tolerance)
    : TestCase("Test MIMO using dual polarization." + testCaseName),
      m_txLoc(txLoc),
      m_txParams(txParams),
      m_rxLoc(rxLoc),
      m_rxParams(rxParams),
      m_testChannel(testChannel),
      m_tolerance(tolerance)
{
}
 
ThreeGppMimoPolarizationTest::~ThreeGppMimoPolarizationTest()
{
}
 
Ptr<PhasedArrayModel>
ThreeGppMimoPolarizationTest::CreateAndConfigureAntenna(const MimoPolarizationAntennaParams& params)
{
    NS_LOG_FUNCTION(this);
    Ptr<AntennaModel> antenna;
    if (params.m_isotropic)
    {
        antenna = CreateObject<IsotropicAntennaModel>();
    }
    else
    {
        antenna = CreateObject<ThreeGppAntennaModel>();
    }
    // create the tx and rx antennas and set the their dimensions
    return CreateObjectWithAttributes<UniformPlanarArray>("NumColumns",
                                                          UintegerValue(params.m_cols),
                                                          "NumRows",
                                                          UintegerValue(params.m_rows),
                                                          "AntennaElement",
                                                          PointerValue(antenna),
                                                          "NumVerticalPorts",
                                                          UintegerValue(params.m_vPorts),
                                                          "NumHorizontalPorts",
                                                          UintegerValue(params.m_hPorts),
                                                          "BearingAngle",
                                                          DoubleValue(params.m_bearingAngle),
                                                          "PolSlantAngle",
                                                          DoubleValue(params.m_polSlantAngle),
                                                          "IsDualPolarized",
                                                          BooleanValue(true));
}
 
void
ThreeGppMimoPolarizationTest::DoRun()
{
    RngSeedManager::SetSeed(1);
    RngSeedManager::SetRun(1);
    // create the ThreeGppChannelModel object used to generate the channel matrix
    Ptr<ThreeGppChannelModel> channelModel = CreateObject<ThreeGppChannelModel>();
    channelModel->SetAttribute("Frequency", DoubleValue(60e9));
    channelModel->SetAttribute("Scenario", StringValue("RMa"));
    channelModel->SetAttribute("ChannelConditionModel",
                               PointerValue(CreateObject<AlwaysLosChannelConditionModel>()));
 
    int64_t randomStream = 1;
    randomStream += channelModel->AssignStreams(randomStream);
 
    // 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 and set their positions
    Ptr<MobilityModel> txMob = CreateObject<ConstantPositionMobilityModel>();
    txMob->SetPosition(m_txLoc);
    Ptr<MobilityModel> rxMob = CreateObject<ConstantPositionMobilityModel>();
    rxMob->SetPosition(m_rxLoc);
 
    // associate the nodes and the mobility models
    nodes.Get(0)->AggregateObject(txMob);
    nodes.Get(1)->AggregateObject(rxMob);
 
    // create the tx and rx antennas and set the their dimensions
    Ptr<PhasedArrayModel> txAntenna = CreateAndConfigureAntenna(m_txParams);
    Ptr<PhasedArrayModel> rxAntenna = CreateAndConfigureAntenna(m_rxParams);
 
    // configure direct beamforming vectors to point to each other
    txAntenna->SetBeamformingVector(
        txAntenna->GetBeamformingVector(Angles(rxMob->GetPosition(), txMob->GetPosition())));
    rxAntenna->SetBeamformingVector(
        rxAntenna->GetBeamformingVector(Angles(txMob->GetPosition(), rxMob->GetPosition())));
 
    // generate the time domain channel matrix
    Ptr<const ThreeGppChannelModel::ChannelMatrix> channelMatrix =
        channelModel->GetChannel(txMob, rxMob, txAntenna, rxAntenna);
 
    // test whether the channel matrix for the first cluster experiences strong
    // symmetry that is caused by existence of dual polarized ports at the
    // transmitter and the receiver
    const std::complex<double>* strongestClusterPtr = channelMatrix->m_channel.GetPagePtr(0);
    size_t matrixSize =
        channelMatrix->m_channel.GetNumRows() * channelMatrix->m_channel.GetNumCols();
 
    MatrixBasedChannelModel::Complex2DVector strongestCluster(
        channelMatrix->m_channel.GetNumRows(),
        channelMatrix->m_channel.GetNumCols(),
        std::valarray<std::complex<double>>(strongestClusterPtr, matrixSize));
 
    MatrixBasedChannelModel::Complex2DVector testChannel(channelMatrix->m_channel.GetNumRows(),
                                                         channelMatrix->m_channel.GetNumCols(),
                                                         m_testChannel);
 
    NS_LOG_INFO("Channel matrix:" << strongestCluster);
    NS_LOG_INFO("Test channel matrix: " << testChannel);
 
    NS_TEST_ASSERT_MSG_EQ(
        strongestCluster.IsAlmostEqual(testChannel, m_tolerance),
        true,
        "The strongest cluster and the test channel matrix should be almost equal");
 
    Simulator::Run();
    Simulator::Destroy();
}
 
/**
 * \ingroup spectrum-tests
 *
 * Test suite for the ThreeGppChannelModel class
 */
class ThreeGppChannelTestSuite : public TestSuite
{
  public:
    /**
     * Constructor
     */
    ThreeGppChannelTestSuite();
};
 
ThreeGppChannelTestSuite::ThreeGppChannelTestSuite()
    : TestSuite("three-gpp-channel", Type::UNIT)
{
    AddTestCase(new ThreeGppChannelMatrixComputationTest(2, 2, 1, 1), TestCase::Duration::QUICK);
    AddTestCase(new ThreeGppChannelMatrixComputationTest(4, 2, 1, 1), TestCase::Duration::QUICK);
    AddTestCase(new ThreeGppChannelMatrixComputationTest(2, 2, 2, 2), TestCase::Duration::QUICK);
    AddTestCase(new ThreeGppChannelMatrixComputationTest(4, 4, 2, 2), TestCase::Duration::QUICK);
    AddTestCase(new ThreeGppChannelMatrixComputationTest(4, 2, 2, 1), TestCase::Duration::QUICK);
    AddTestCase(new ThreeGppChannelMatrixUpdateTest(2, 4, 1, 1), TestCase::Duration::QUICK);
    AddTestCase(new ThreeGppChannelMatrixUpdateTest(2, 2, 1, 1), TestCase::Duration::QUICK);
    AddTestCase(new ThreeGppChannelMatrixUpdateTest(2, 4, 2, 2), TestCase::Duration::QUICK);
    AddTestCase(new ThreeGppChannelMatrixUpdateTest(2, 2, 2, 2), TestCase::Duration::QUICK);
    AddTestCase(new ThreeGppSpectrumPropagationLossModelTest(4, 4, 1, 1),
                TestCase::Duration::QUICK);
    AddTestCase(new ThreeGppSpectrumPropagationLossModelTest(4, 4, 2, 2),
                TestCase::Duration::QUICK);
    AddTestCase(new ThreeGppSpectrumPropagationLossModelTest(4, 2, 2, 2),
                TestCase::Duration::QUICK);
    AddTestCase(new ThreeGppSpectrumPropagationLossModelTest(4, 2, 2, 1),
                TestCase::Duration::QUICK);
    AddTestCase(new ThreeGppCalcLongTermMultiPortTest(), TestCase::Duration::QUICK);
 
    /**
     *  The TX and RX antennas are configured face-to-face.
     *  When polarization slant angles are 0 and 0 at TX and RX,
     *  we expect the strongest cluster to be similar to the following matrix:
     *   (5.9,0) (5.9,0) (0,0)     (0,0)
     *   (5.9,0) (5.9,0) (0,0)     (0,0)
     *   (0,0)   (0,0)   (-5.8,)   (-5.8,0)
     *   (0,0)   (0,0)   (-5.8,0)  (-5.8,0)
     */
    std::valarray<std::complex<double>> testChannel1 =
        {5.9, 5.9, 0, 0, 5.9, 5.9, 0, 0, 0, 0, -5.8, -5.8, 0, 0, -5.8, -5.8};
    AddTestCase(new ThreeGppMimoPolarizationTest("Face-to-face. 0 and 0 pol. slant angles.",
                                                 Vector{0, 0, 3},
                                                 MimoPolarizationAntennaParams(false, 0, 0),
                                                 Vector{9, 0, 3},
                                                 MimoPolarizationAntennaParams(false, 0, M_PI),
                                                 testChannel1,
                                                 0.9),
                TestCase::Duration::QUICK);
 
    /**
     *  The TX and RX antennas are configured face-to-face.
     *  When polarization slant angles are 30 and 0 at TX and RX,
     *  we expect the strongest cluster to be similar to the following matrix:
     *   (5,0)   (5,0)   (3,0)   (3,0)
     *   (5,0)   (5,0)   (3,0)   (3,0)
     *   (3,0)   (3,0)   (-5,0)  (-5,0)
     *   (3,0)   (3,0)   (-5,0)  (-5,0)
     */
    AddTestCase(
        new ThreeGppMimoPolarizationTest("Face-to-face. 30 and 0 pol. slant angles.",
                                         Vector{0, 0, 3},
                                         MimoPolarizationAntennaParams(false, M_PI / 6, 0),
                                         Vector{6, 0, 3},
                                         MimoPolarizationAntennaParams(false, 0, M_PI),
                                         {5, 5, 3, 3, 5, 5, 3, 3, 3, 3, -5, -5, 3, 3, -5, -5},
                                         0.8),
        TestCase::Duration::QUICK);
 
    /**
     *  The TX and RX antennas are configured face-to-face.
     *  When polarization slant angles are 45 and 0 at TX and RX,
     *  we expect the strongest cluster to be similar to the following matrix:
     *  (4,0)  (4,0)  (4,0)  (4,0)
     *  (4,0)  (4,0)  (4,0)  (4,0)
     *  (4,0)  (4,0)  (4,0)  (4,0)
     *  (4,0)  (4,0)  (4,0)  (4,0)
     */
    AddTestCase(
        new ThreeGppMimoPolarizationTest("Face-to-face. 45 and 0 pol. slant angles.",
                                         Vector{0, 0, 3},
                                         MimoPolarizationAntennaParams(false, M_PI / 4, 0),
                                         Vector{6, 0, 3},
                                         MimoPolarizationAntennaParams(false, 0, M_PI),
                                         {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, -4, -4, 4, 4, -4, -4},
                                         0.7),
        TestCase::Duration::QUICK);
 
    /**
     *  The TX and RX antennas are configured face-to-face.
     *  When polarization slant angles are 45 and 0 at TX and RX,
     *  we expect the strongest cluster to be similar to the following matrix:
     *  (0,0)  (0,0)  (5.9,0)  (5.9,0)
     *  (0,0)  (0,0)  (5.9,0)  (5.9,0)
     *  (5.8,0)  (5.8,0)  (0,0)  (0,0)
     *  (5.8,0)  (5.8,0)  (0,0)  (0,0)
     */
    AddTestCase(new ThreeGppMimoPolarizationTest(
                    "Face-to-face. 90 and 0 pol. slant angles.",
                    Vector{0, 0, 3},
                    MimoPolarizationAntennaParams(false, M_PI / 2, 0),
                    Vector{6, 0, 3},
                    MimoPolarizationAntennaParams(false, 0, M_PI),
                    {0, 0, 5.8, 5.8, 0, 0, 5.8, 5.8, 5.9, 5.9, 0, 0, 5.9, 5.9, 0, 0},
                    0.9),
                TestCase::Duration::QUICK);
 
    /**
     *  The TX and RX antennas are face to face. We test the configuration of
     *  the bearing angle along with the configuration of the different position
     *  of the RX antenna, and the bearing angles.
     *  When polarization slant angles are 0 and 0 at TX and RX,
     *  we expect the strongest cluster to be similar to the following matrix:
     *   (5.9,0) (5.9,0) (0,0)     (0,0)
     *   (5.9,0) (5.9,0) (0,0)     (0,0)
     *   (0,0)   (0,0)   (-5.8,)   (-5.8,0)
     *   (0,0)   (0,0)   (-5.8,0)  (-5.8,0)
     *  Notice that we expect almost the same matrix as in the first case in
     *  which
     */
    AddTestCase(
        new ThreeGppMimoPolarizationTest("Face-to-face. Different positions. Different bearing "
                                         "angles. 0 and 0 pol. slant angles.",
                                         Vector{0, 0, 3},
                                         MimoPolarizationAntennaParams(false, 0, M_PI / 4),
                                         Vector{6.363961031, 6.363961031, 3},
                                         MimoPolarizationAntennaParams(false, 0, -(M_PI / 4) * 3),
                                         testChannel1,
                                         0.9),
        TestCase::Duration::QUICK);
 
    /**
     *  The TX and RX antenna have different height.
     *  Bearing angle is configured to point one toward the other.
     *  When polarization slant angles are 0 and 0 at TX and RX,
     *  we expect the strongest cluster to be similar to the following matrix:
     *   (2.5,-4.7)  (2.5,-4.7)   (0,0)     (0,0)
     *   (2.5,-4.7)  (2.5,-4.7)   (0,0)     (0,0)
     *   (0,0)   (0,0)    (-2.4,4)    (-2.4,4)
     *   (0,0)   (0,0)    (-2.4,4)    (-2.4,4)
     */
    AddTestCase(new ThreeGppMimoPolarizationTest(
                    "Not face-to-face. Different heights. 0 and 0 pol. slant angles.",
                    Vector{0, 0, 10},
                    MimoPolarizationAntennaParams(false, 0, 0),
                    Vector{30, 0, 3},
                    MimoPolarizationAntennaParams(false, 0, M_PI),
                    {{2.5, -4.7},
                     {2.5, -4.7},
                     0,
                     0,
                     {2.5, -4.7},
                     {2.5, -4.7},
                     0,
                     0,
                     0,
                     0,
                     {-2.4, 4},
                     {-2.4, 4},
                     0,
                     0,
                     {-2.4, 4},
                     {-2.4, 4}},
                    0.5),
                TestCase::Duration::QUICK);
}
 
/// Static variable for test initialization
static ThreeGppChannelTestSuite myTestSuite;