three-gpp-channel-model.h

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/*
 * Copyright (c) 2015, NYU WIRELESS, Tandon School of Engineering,
 * New York University
 * 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
 */
 
#ifndef THREE_GPP_CHANNEL_H
#define THREE_GPP_CHANNEL_H
 
#include "matrix-based-channel-model.h"
 
#include "ns3/angles.h"
#include <ns3/boolean.h>
#include <ns3/channel-condition-model.h>
 
#include <complex.h>
#include <unordered_map>
 
namespace ns3
{
 
class MobilityModel;
 
/**
 * \ingroup spectrum
 * \brief Channel Matrix Generation following 3GPP TR 38.901
 *
 * The class implements the channel matrix generation procedure
 * described in 3GPP TR 38.901.
 *
 * \see GetChannel
 */
class ThreeGppChannelModel : public MatrixBasedChannelModel
{
  public:
    /**
     * Constructor
     */
    ThreeGppChannelModel();
 
    /**
     * Destructor
     */
    ~ThreeGppChannelModel() override;
 
    void DoDispose() override;
 
    /**
     * Get the type ID
     * \return the object TypeId
     */
    static TypeId GetTypeId();
 
    /**
     * Set the channel condition model
     * \param model a pointer to the ChannelConditionModel object
     */
    void SetChannelConditionModel(Ptr<ChannelConditionModel> model);
 
    /**
     * Get the associated channel condition model
     * \return a pointer to the ChannelConditionModel object
     */
    Ptr<ChannelConditionModel> GetChannelConditionModel() const;
 
    /**
     * Sets the center frequency of the model
     * \param f the center frequency in Hz
     */
    void SetFrequency(double f);
 
    /**
     * Returns the center frequency
     * \return the center frequency in Hz
     */
    double GetFrequency() const;
 
    /**
     * Sets the propagation scenario
     * \param scenario the propagation scenario
     */
    void SetScenario(const std::string& scenario);
 
    /**
     * Returns the propagation scenario
     * \return the propagation scenario
     */
    std::string GetScenario() const;
 
    /**
     * Looks for the channel matrix associated to the aMob and bMob pair in m_channelMatrixMap.
     * If found, it checks if it has to be updated. If not found or if it has to
     * be updated, it generates a new uncorrelated channel matrix using the
     * method GetNewChannel and updates m_channelMap.
     *
     * \param aMob mobility model of the a device
     * \param bMob mobility model of the b device
     * \param aAntenna antenna of the a device
     * \param bAntenna antenna of the b device
     * \return the channel matrix
     */
    Ptr<const ChannelMatrix> GetChannel(Ptr<const MobilityModel> aMob,
                                        Ptr<const MobilityModel> bMob,
                                        Ptr<const PhasedArrayModel> aAntenna,
                                        Ptr<const PhasedArrayModel> bAntenna) override;
 
    /**
     * Looks for the channel params associated to the aMob and bMob pair in
     * m_channelParamsMap. If not found it will return a nullptr.
     *
     * \param aMob mobility model of the a device
     * \param bMob mobility model of the b device
     * \return the channel params
     */
    Ptr<const ChannelParams> GetParams(Ptr<const MobilityModel> aMob,
                                       Ptr<const MobilityModel> bMob) const override;
    /**
     * \brief Assign a fixed random variable stream number to the random variables
     * used by this model.
     *
     * \param stream first stream index to use
     * \return the number of stream indices assigned by this model
     */
    int64_t AssignStreams(int64_t stream);
 
  protected:
    /**
     * Wrap an (azimuth, inclination) angle pair in a valid range.
     * Specifically, inclination must be in [0, M_PI] and azimuth in [0, 2*M_PI).
     * If the inclination angle is outside of its range, the azimuth angle is
     * rotated by M_PI.
     * This methods aims specifically at solving the problem of generating angles at
     * the boundaries of the angle domain, specifically, generating angle distributions
     * close to inclinationRad=0 and inclinationRad=M_PI.
     *
     * \param azimuthRad the azimuth angle in radians
     * \param inclinationRad the inclination angle in radians
     * \return the wrapped (azimuth, inclination) angle pair in radians
     */
    static std::pair<double, double> WrapAngles(double azimuthRad, double inclinationRad);
 
    /**
     * \brief Shuffle the elements of a simple sequence container of type double
     * \param first Pointer to the first element among the elements to be shuffled
     * \param last Pointer to the last element among the elements to be shuffled
     */
    void Shuffle(double* first, double* last) const;
 
    /**
     * Extends the struct ChannelParams by including information that is used
     * within the ThreeGppChannelModel class
     */
    struct ThreeGppChannelParams : public MatrixBasedChannelModel::ChannelParams
    {
        ChannelCondition::LosConditionValue
            m_losCondition; //!< contains the information about the LOS state of the channel
        ChannelCondition::O2iConditionValue
            m_o2iCondition; //!< contains the information about the O2I state of the channel
        // TODO these are not currently used, they have to be correctly set when including the
        // spatial consistent update procedure
        /*The following parameters are stored for spatial consistent updating. The notation is
        that of 3GPP technical reports, but it can apply also to other channel realizations*/
        MatrixBasedChannelModel::Double2DVector m_nonSelfBlocking; //!< store the blockages
        Vector m_preLocUT; //!< location of UT when generating the previous channel
        Vector m_locUT;    //!< location of UT
        MatrixBasedChannelModel::Double2DVector
            m_norRvAngles; //!< stores the normal variable for random angles angle[cluster][id]
                           //!< generated for equation (7.6-11)-(7.6-14), where id =
                           //!< 0(aoa),1(zoa),2(aod),3(zod)
        double m_DS;       //!< delay spread
        double m_K_factor; //!< K factor
        uint8_t m_reducedClusterNumber; //!< reduced cluster number;
        MatrixBasedChannelModel::Double2DVector
            m_rayAodRadian; //!< the vector containing AOD angles
        MatrixBasedChannelModel::Double2DVector
            m_rayAoaRadian; //!< the vector containing AOA angles
        MatrixBasedChannelModel::Double2DVector
            m_rayZodRadian; //!< the vector containing ZOD angles
        MatrixBasedChannelModel::Double2DVector
            m_rayZoaRadian; //!< the vector containing ZOA angles
        MatrixBasedChannelModel::Double3DVector m_clusterPhase; //!< the initial random phases
        MatrixBasedChannelModel::Double2DVector
            m_crossPolarizationPowerRatios; //!< cross polarization power ratios
        Vector m_speed;                     //!< velocity
        double m_dis2D;                     //!< 2D distance between tx and rx
        double m_dis3D;                     //!< 3D distance between tx and rx
        DoubleVector m_clusterPower;        //!< cluster powers
        DoubleVector m_attenuation_dB;      //!< vector that stores the attenuation of the blockage
        uint8_t m_cluster1st;               //!< index of the first strongest cluster
        uint8_t m_cluster2nd;               //!< index of the second strongest cluster
    };
 
    /**
     * Data structure that stores the parameters of 3GPP TR 38.901, Table 7.5-6,
     * for a certain scenario
     */
    struct ParamsTable : public SimpleRefCount<ParamsTable>
    {
        uint8_t m_numOfCluster = 0;   //!< Number of clusters
        uint8_t m_raysPerCluster = 0; //!< Number of rays per cluster
        double m_uLgDS = 0;           //!< Mean value of 10-base logarithm of delay spread
        double m_sigLgDS = 0; //!< Standard deviation value of 10-base logarithm of delay spread
        double m_uLgASD =
            0; //!< Mean value of 10-base logarithm of azimuth angle spread of departure
        double m_sigLgASD =
            0; //!< Standard deviation of 10-base logarithm of azimuth angle spread of departure
        double m_uLgASA = 0; //!< Mean value of 10-base logarithm of azimuth angle spread of arrival
        double m_sigLgASA =
            0; //!< Standard deviation of 10-base logarithm of azimuth angle spread of arrival
        double m_uLgZSA = 0; //!< Mean value of 10-base logarithm of zenith angle spread of arrival
        double m_sigLgZSA =
            0; //!< Standard deviation of 10-base logarithm of zenith angle spread of arrival
        double m_uLgZSD =
            0; //!< Mean value of 10-base logarithm of zenith angle spread of departure
        double m_sigLgZSD =
            0; //!< Standard deviation of 10-base logarithm of zenith angle spread of departure
        double m_offsetZOD = 0;              //!< Offset of zenith angle of departure
        double m_cDS = 0;                    //!< Cluster DS
        double m_cASD = 0;                   //!< Cluster ASD (Azimuth angle Spread of Departure)
        double m_cASA = 0;                   //!< Cluster ASA (Azimuth angle Spread of Arrival)
        double m_cZSA = 0;                   //!< Cluster ZSA (Zenith angle Spread of Arrival)
        double m_uK = 0;                     //!< Mean of K-factor
        double m_sigK = 0;                   //!< Standard deviation of K-factor
        double m_rTau = 0;                   //!< Delay scaling parameter
        double m_uXpr = 0;                   //!< Mean of Cross-Polarization Ratio
        double m_sigXpr = 0;                 //!< Standard deviation of Cross-Polarization Ratio
        double m_perClusterShadowingStd = 0; //!< Per cluster shadowing standard deviation
        double m_sqrtC[7][7]; //!< The square root matrix and follows the order of [SF, K, DS, ASD,
                              //!< ASA, ZSD, ZSA]
    };
 
    /**
     * Get the parameters needed to apply the channel generation procedure
     * \param channelCondition the channel condition
     * \param hBS the height of the BS
     * \param hUT the height of the UT
     * \param distance2D the 2D distance between tx and rx
     * \return the parameters table
     */
    virtual Ptr<const ParamsTable> GetThreeGppTable(Ptr<const ChannelCondition> channelCondition,
                                                    double hBS,
                                                    double hUT,
                                                    double distance2D) const;
 
    /**
     * Prepare 3gpp channel parameters among the nodes a and b.
     * The function does the following steps described in 3GPP 38.901:
     *
     * Step 4: Generate large scale parameters. All LSPS are uncorrelated.
     * Step 5: Generate Delays.
     * Step 6: Generate cluster powers.
     * Step 7: Generate arrival and departure angles for both azimuth and elevation.
     * Step 8: Coupling of rays within a cluster for both azimuth and elevation
     * shuffle all the arrays to perform random coupling
     * Step 9: Generate the cross polarization power ratios
     * Step 10: Draw initial phases
     *
     * All relevant generated parameters are added then to ThreeGppChannelParams
     * which is the return value of this function.
     * \param channelCondition the channel condition
     * \param table3gpp the 3gpp parameters from the table
     * \param aMob the a node mobility model
     * \param bMob the b node mobility model
     * \return ThreeGppChannelParams structure with all the channel parameters generated
     * according 38.901 steps from 4 to 10.
     */
    Ptr<ThreeGppChannelParams> GenerateChannelParameters(
        const Ptr<const ChannelCondition> channelCondition,
        const Ptr<const ParamsTable> table3gpp,
        const Ptr<const MobilityModel> aMob,
        const Ptr<const MobilityModel> bMob) const;
 
    /**
     * Compute the channel matrix between two nodes a and b, and their
     * antenna arrays aAntenna and bAntenna using the procedure
     * described in 3GPP TR 38.901
     * \param channelParams the channel parameters previously generated for the pair of
     * nodes a and b
     * \param table3gpp the 3gpp parameters table
     * \param sMob the mobility model of node s
     * \param uMob the mobility model of node u
     * \param sAntenna the antenna array of node s
     * \param uAntenna the antenna array of node u
     * \return the channel realization
     */
 
    virtual Ptr<ChannelMatrix> GetNewChannel(Ptr<const ThreeGppChannelParams> channelParams,
                                             Ptr<const ParamsTable> table3gpp,
                                             const Ptr<const MobilityModel> sMob,
                                             const Ptr<const MobilityModel> uMob,
                                             Ptr<const PhasedArrayModel> sAntenna,
                                             Ptr<const PhasedArrayModel> uAntenna) const;
    /**
     * Applies the blockage model A described in 3GPP TR 38.901
     * \param channelParams the channel parameters structure
     * \param clusterAOA vector containing the azimuth angle of arrival for each cluster
     * \param clusterZOA vector containing the zenith angle of arrival for each cluster
     * \return vector containing the power attenuation for each cluster
     */
    DoubleVector CalcAttenuationOfBlockage(
        const Ptr<ThreeGppChannelModel::ThreeGppChannelParams> channelParams,
        const DoubleVector& clusterAOA,
        const DoubleVector& clusterZOA) const;
 
    /**
     * Check if the channel params has to be updated
     * \param channelParams channel params
     * \param channelCondition the channel condition
     * \return true if the channel params has to be updated, false otherwise
     */
    bool ChannelParamsNeedsUpdate(Ptr<const ThreeGppChannelParams> channelParams,
                                  Ptr<const ChannelCondition> channelCondition) const;
 
    /**
     * Check if the channel matrix has to be updated (it needs update when the channel params
     * generation time is more recent than channel matrix generation time
     * \param channelParams channel params structure
     * \param channelMatrix channel matrix structure
     * \return true if the channel matrix has to be updated, false otherwise
     */
    bool ChannelMatrixNeedsUpdate(Ptr<const ThreeGppChannelParams> channelParams,
                                  Ptr<const ChannelMatrix> channelMatrix);
 
    std::unordered_map<uint64_t, Ptr<ChannelMatrix>>
        m_channelMatrixMap; //!< map containing the channel realizations per pair of
                            //!< PhasedAntennaArray instances, the key of this map is reciprocal
                            //!< uniquely identifies a pair of PhasedAntennaArrays
    std::unordered_map<uint64_t, Ptr<ThreeGppChannelParams>>
        m_channelParamsMap; //!< map containing the common channel parameters per pair of nodes, the
                            //!< key of this map is reciprocal and uniquely identifies a pair of
                            //!< nodes
    Time m_updatePeriod;    //!< the channel update period
    double m_frequency;     //!< the operating frequency
    std::string m_scenario; //!< the 3GPP scenario
    Ptr<ChannelConditionModel> m_channelConditionModel; //!< the channel condition model
    Ptr<UniformRandomVariable> m_uniformRv;             //!< uniform random variable
    Ptr<NormalRandomVariable> m_normalRv;               //!< normal random variable
    Ptr<UniformRandomVariable>
        m_uniformRvShuffle; //!< uniform random variable used to shuffle array in GetNewChannel
 
    // Variable used to compute the additional Doppler contribution for the delayed
    // (reflected) paths, as described in 3GPP TR 37.885 v15.3.0, Sec. 6.2.3.
    double m_vScatt; //!< value used to compute the additional Doppler contribution for the delayed
                     //!< paths
    Ptr<UniformRandomVariable> m_uniformRvDoppler; //!< uniform random variable, used to compute the
                                                   //!< additional Doppler contribution
 
    // parameters for the blockage model
    bool m_blockage;               //!< enables the blockage model A
    uint16_t m_numNonSelfBlocking; //!< number of non-self-blocking regions
    bool m_portraitMode;           //!< true if portrait mode, false if landscape
    double m_blockerSpeed;         //!< the blocker speed
 
    static const uint8_t PHI_INDEX = 0; //!< index of the PHI value in the m_nonSelfBlocking array
    static const uint8_t X_INDEX = 1;   //!< index of the X value in the m_nonSelfBlocking array
    static const uint8_t THETA_INDEX =
        2;                            //!< index of the THETA value in the m_nonSelfBlocking array
    static const uint8_t Y_INDEX = 3; //!< index of the Y value in the m_nonSelfBlocking array
    static const uint8_t R_INDEX = 4; //!< index of the R value in the m_nonSelfBlocking array
};
} // namespace ns3
 
#endif /* THREE_GPP_CHANNEL_H */