libns3-dev 3.13+dfsg-1 / usr / include / ns3 / propagation-loss-model.h

/* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */
/*
 * Copyright (c) 2005,2006,2007 INRIA
 *
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License version 2 as 
 * published by the Free Software Foundation;
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 *
 * Author: Mathieu Lacage <mathieu.lacage@sophia.inria.fr>
 * Contributions: Timo Bingmann <timo.bingmann@student.kit.edu>
 * Contributions: Gary Pei <guangyu.pei@boeing.com> for fixed RSS
 * Contributions: Tom Hewer <tomhewer@mac.com> for two ray ground model
 *                Pavel Boyko <boyko@iitp.ru> for matrix
 */

#ifndef PROPAGATION_LOSS_MODEL_H
#define PROPAGATION_LOSS_MODEL_H

#include "ns3/object.h"
#include "ns3/random-variable.h"
#include <map>

namespace ns3 {

/**
 * \defgroup propagation Propagation Models
 *
 */

class MobilityModel;

/**
 * \ingroup propagation
 *
 * \brief Modelize the propagation loss through a transmission medium
 *
 * Calculate the receive power (dbm) from a transmit power (dbm)
 * and a mobility model for the source and destination positions.
 */
class PropagationLossModel : public Object
{
public:
  static TypeId GetTypeId (void);

  PropagationLossModel ();
  virtual ~PropagationLossModel ();

  /**
   * \brief Enables a chain of loss models to act on the signal
   * \param next The next PropagationLossModel to add to the chain
   *
   * This method of chaining propagation loss models only works commutatively
   * if the propagation loss of all models in the chain are independent
   * of transmit power.
   */
  void SetNext (Ptr<PropagationLossModel> next);

  /**
   * \param txPowerDbm current transmission power (in dBm)
   * \param a the mobility model of the source
   * \param b the mobility model of the destination
   * \returns the reception power after adding/multiplying propagation loss (in dBm)
   */
  double CalcRxPower (double txPowerDbm,
                      Ptr<MobilityModel> a,
                      Ptr<MobilityModel> b) const;
private:
  PropagationLossModel (const PropagationLossModel &o);
  PropagationLossModel &operator = (const PropagationLossModel &o);
  virtual double DoCalcRxPower (double txPowerDbm,
                                Ptr<MobilityModel> a,
                                Ptr<MobilityModel> b) const = 0;

  Ptr<PropagationLossModel> m_next;
};

/**
 * \ingroup propagation
 *
 * \brief The propagation loss follows a random distribution.
 */ 
class RandomPropagationLossModel : public PropagationLossModel
{
public:
  static TypeId GetTypeId (void);

  RandomPropagationLossModel ();
  virtual ~RandomPropagationLossModel ();

private:
  RandomPropagationLossModel (const RandomPropagationLossModel &o);
  RandomPropagationLossModel & operator = (const RandomPropagationLossModel &o);
  virtual double DoCalcRxPower (double txPowerDbm,
                                Ptr<MobilityModel> a,
                                Ptr<MobilityModel> b) const;
  RandomVariable m_variable;
};

/**
 * \ingroup propagation
 *
 * \brief a Friis propagation loss model
 *
 * The Friis propagation loss model was first described in
 * "A Note on a Simple Transmission Formula", by 
 * "Harald T. Friis".
 * 
 * The original equation was described as:
 *  \f$ \frac{P_r}{P_t} = \frac{A_r A_t}{d^2\lambda^2} \f$
 *  with the following equation for the case of an
 *  isotropic antenna with no heat loss:
 *  \f$ A_{isotr.} = \frac{\lambda^2}{4\pi} \f$
 *
 * The final equation becomes:
 * \f$ \frac{P_r}{P_t} = \frac{\lambda^2}{(4 \pi d)^2} \f$
 *
 * Modern extensions to this original equation are:
 * \f$ P_r = \frac{P_t G_t G_r \lambda^2}{(4 \pi d)^2 L}\f$
 *
 * With:
 *  - \f$ P_r \f$ : reception power (W)
 *  - \f$ P_t \f$ : transmission power (W)
 *  - \f$ G_t \f$ : transmission gain (unit-less)
 *  - \f$ G_r \f$ : reception gain (unit-less)
 *  - \f$ \lambda \f$ : wavelength (m)
 *  - \f$ d \f$ : distance (m)
 *  - \f$ L \f$ : system loss (unit-less)
 *
 *
 * This model is invalid for small distance values.
 * The current implementation returns the txpower as the rxpower
 * for any distance smaller than MinDistance.
 */
class FriisPropagationLossModel : public PropagationLossModel
{
public:
  static TypeId GetTypeId (void);
  FriisPropagationLossModel ();
  /**
   * \param frequency (Hz)
   * \param speed (m/s)
   *
   * Set the main wavelength used in the Friis model 
   * calculation.
   */
  void SetLambda (double frequency, double speed);
  /**
   * \param lambda (m) the wavelength
   *
   * Set the main wavelength used in the Friis model 
   * calculation.
   */
  void SetLambda (double lambda);
  /**
   * \param systemLoss (dimension-less)
   *
   * Set the system loss used by the Friis propagation model.
   */
  void SetSystemLoss (double systemLoss);

  /**
   * \param minDistance the minimum distance
   *
   * Below this distance, the txpower is returned
   * unmodified as the rxpower.
   */
  void SetMinDistance (double minDistance);

  /**
   * \returns the minimum distance.
   */
  double GetMinDistance (void) const;

  /**
   * \returns the current wavelength (m)
   */
  double GetLambda (void) const;
  /**
   * \returns the current system loss (dimension-less)
   */
  double GetSystemLoss (void) const;

private:
  FriisPropagationLossModel (const FriisPropagationLossModel &o);
  FriisPropagationLossModel & operator = (const FriisPropagationLossModel &o);
  virtual double DoCalcRxPower (double txPowerDbm,
                                Ptr<MobilityModel> a,
                                Ptr<MobilityModel> b) const;
  double DbmToW (double dbm) const;
  double DbmFromW (double w) const;

  static const double PI;
  double m_lambda;
  double m_systemLoss;
  double m_minDistance;
};

/**
 * \ingroup propagation
 *
 * \brief a Two-Ray Ground propagation loss model ported from NS2
 *
 * Two-ray ground reflection model.
 *
 * \f$ Pr = \frac{Pt * Gt * Gr * (ht^2 * hr^2)}{d^4 * L} \f$
 *
 * The original equation in Rappaport's book assumes L = 1.
 * To be consistent with the free space equation, L is added here.
 *
 * Ht and Hr are set at the respective nodes z coordinate plus a model parameter
 * set via SetHeightAboveZ.
 *
 * The two-ray model does not give a good result for short distances, due to the
 * oscillation caused by constructive and destructive combination of the two
 * rays. Instead the Friis free-space model is used for small distances. 
 *
 * The crossover distance, below which Friis is used, is calculated as follows:
 *
 * \f$ dCross = \frac{(4 * pi * Ht * Hr)}{lambda} \f$
 */
class TwoRayGroundPropagationLossModel : public PropagationLossModel
{
public:
  static TypeId GetTypeId (void);
  TwoRayGroundPropagationLossModel ();
  /**
   * \param frequency (Hz)
   * \param speed (m/s)
   *
   * Set the main wavelength used in the TwoRayGround model 
   * calculation.
   */
  void SetLambda (double frequency, double speed);
  /**
   * \param lambda (m) the wavelength
   *
   * Set the main wavelength used in the TwoRayGround model 
   * calculation.
   */
  void SetLambda (double lambda);
  /**
   * \param systemLoss (dimension-less)
   *
   * Set the system loss used by the TwoRayGround propagation model.
   */
  void SetSystemLoss (double systemLoss);
  /**
   * \param minDistance the minimum distance
   *
   * Below this distance, the txpower is returned
   * unmodified as the rxpower.
   */
  void SetMinDistance (double minDistance);
  /**
   * \returns the minimum distance.
   */
  double GetMinDistance (void) const;
  /**
   * \returns the current wavelength (m)
   */
  double GetLambda (void) const;
  /**
   * \returns the current system loss (dimension-less)
   */
  double GetSystemLoss (void) const;
  /**
   * \param heightAboveZ the model antenna height above the node's Z coordinate
   *
   * Set the model antenna height above the node's Z coordinate
   */
  void SetHeightAboveZ (double heightAboveZ);

private:
  TwoRayGroundPropagationLossModel (const TwoRayGroundPropagationLossModel &o);
  TwoRayGroundPropagationLossModel & operator = (const TwoRayGroundPropagationLossModel &o);
  virtual double DoCalcRxPower (double txPowerDbm,
                                Ptr<MobilityModel> a,
                                Ptr<MobilityModel> b) const;
  double DbmToW (double dbm) const;
  double DbmFromW (double w) const;

  static const double PI;
  double m_lambda;
  double m_systemLoss;
  double m_minDistance;
  double m_heightAboveZ;
};

/**
 * \ingroup propagation
 *
 * \brief a log distance propagation model.
 *
 * This model calculates the reception power with a so-called
 * log-distance propagation model:
 * \f$ L = L_0 + 10 n log_{10}(\frac{d}{d_0})\f$
 *
 * where:
 *  - \f$ n \f$ : the path loss distance exponent
 *  - \f$ d_0 \f$ : reference distance (m)
 *  - \f$ L_0 \f$ : path loss at reference distance (dB)
 *  - \f$ d \f$ : distance (m)
 *  - \f$ L \f$ : path loss (dB)
 *
 * When the path loss is requested at a distance smaller than
 * the reference distance, the tx power is returned.
 *
 */
class LogDistancePropagationLossModel : public PropagationLossModel
{
public:
  static TypeId GetTypeId (void);
  LogDistancePropagationLossModel ();

  /**
   * \param n the path loss exponent.
   * Set the path loss exponent.
   */
  void SetPathLossExponent (double n);
  /** 
   * \returns the current path loss exponent.
   */
  double GetPathLossExponent (void) const;

  void SetReference (double referenceDistance, double referenceLoss);

private:
  LogDistancePropagationLossModel (const LogDistancePropagationLossModel &o);
  LogDistancePropagationLossModel & operator = (const LogDistancePropagationLossModel &o);
  virtual double DoCalcRxPower (double txPowerDbm,
                                Ptr<MobilityModel> a,
                                Ptr<MobilityModel> b) const;
  static Ptr<PropagationLossModel> CreateDefaultReference (void);

  double m_exponent;
  double m_referenceDistance;
  double m_referenceLoss;
};

/**
 * \ingroup propagation
 *
 * \brief A log distance path loss propagation model with three distance
 * fields. This model is the same as ns3::LogDistancePropagationLossModel
 * except that it has three distance fields: near, middle and far with
 * different exponents.
 *
 * Within each field the reception power is calculated using the log-distance
 * propagation equation:
 * \f[ L = L_0 + 10 \cdot n_0 log_{10}(\frac{d}{d_0})\f]
 * Each field begins where the previous ends and all together form a continuous function.
 *
 * There are three valid distance fields: near, middle, far. Actually four: the
 * first from 0 to the reference distance is invalid and returns txPowerDbm.
 *
 * \f[ \underbrace{0 \cdots\cdots}_{=0} \underbrace{d_0 \cdots\cdots}_{n_0} \underbrace{d_1 \cdots\cdots}_{n_1} \underbrace{d_2 \cdots\cdots}_{n_2} \infty \f]
 *
 * Complete formula for the path loss in dB:
 *
 * \f[\displaystyle L =
\begin{cases}
0 & d < d_0 \\
L_0 + 10 \cdot n_0 \log_{10}(\frac{d}{d_0}) & d_0 \leq d < d_1 \\
L_0 + 10 \cdot n_0 \log_{10}(\frac{d_1}{d_0}) + 10 \cdot n_1 \log_{10}(\frac{d}{d_1}) & d_1 \leq d < d_2 \\
L_0 + 10 \cdot n_0 \log_{10}(\frac{d_1}{d_0}) + 10 \cdot n_1 \log_{10}(\frac{d_2}{d_1}) + 10 \cdot n_2 \log_{10}(\frac{d}{d_2})& d_2 \leq d
\end{cases}\f]
 *
 * where:
 *  - \f$ L \f$ : resulting path loss (dB)
 *  - \f$ d \f$ : distance (m)
 *  - \f$ d_0, d_1, d_2 \f$ : three distance fields (m)
 *  - \f$ n_0, n_1, n_2 \f$ : path loss distance exponent for each field (unitless)
 *  - \f$ L_0 \f$ : path loss at reference distance (dB)
 *
 * When the path loss is requested at a distance smaller than the reference
 * distance \f$ d_0 \f$, the tx power (with no path loss) is returned. The
 * reference distance defaults to 1m and reference loss defaults to
 * ns3::FriisPropagationLossModel with 5.15 GHz and is thus \f$ L_0 \f$ = 46.67 dB.
 */
class ThreeLogDistancePropagationLossModel : public PropagationLossModel
{
public:
  static TypeId GetTypeId (void);
  ThreeLogDistancePropagationLossModel ();

  // Parameters are all accessible via attributes.

private:
  ThreeLogDistancePropagationLossModel (const ThreeLogDistancePropagationLossModel& o);
  ThreeLogDistancePropagationLossModel& operator= (const ThreeLogDistancePropagationLossModel& o);

  virtual double DoCalcRxPower (double txPowerDbm,
                                Ptr<MobilityModel> a,
                                Ptr<MobilityModel> b) const;

  double m_distance0;
  double m_distance1;
  double m_distance2;

  double m_exponent0;
  double m_exponent1;
  double m_exponent2;

  double m_referenceLoss;
};

/**
 * \ingroup propagation
 *
 * \brief Nakagami-m fast fading propagation loss model.
 *
 * The Nakagami-m distribution is applied to the power level. The probability
 * density function is defined as
 * \f[ p(x; m, \omega) = \frac{2 m^m}{\Gamma(m) \omega^m} x^{2m - 1} e^{-\frac{m}{\omega} x^2} = 2 x \cdot p_{\text{Gamma}}(x^2, m, \frac{m}{\omega}) \f]
 * with \f$ m \f$ the fading depth parameter and \f$ \omega \f$ the average received power.
 *
 * It is implemented by either a ns3::GammaVariable or a ns3::ErlangVariable
 * random variable.
 *
 * Like in ns3::ThreeLogDistancePropagationLossModel, the m parameter is varied
 * over three distance fields:
 * \f[ \underbrace{0 \cdots\cdots}_{m_0} \underbrace{d_1 \cdots\cdots}_{m_1} \underbrace{d_2 \cdots\cdots}_{m_2} \infty \f]
 *
 * For m = 1 the Nakagami-m distribution equals the Rayleigh distribution. Thus
 * this model also implements Rayleigh distribution based fast fading.
 */
class NakagamiPropagationLossModel : public PropagationLossModel
{
public:
  static TypeId GetTypeId (void);

  NakagamiPropagationLossModel ();

  // Parameters are all accessible via attributes.

private:
  NakagamiPropagationLossModel (const NakagamiPropagationLossModel& o);
  NakagamiPropagationLossModel& operator= (const NakagamiPropagationLossModel& o);

  virtual double DoCalcRxPower (double txPowerDbm,
                                Ptr<MobilityModel> a,
                                Ptr<MobilityModel> b) const;

  double m_distance1;
  double m_distance2;

  double m_m0;
  double m_m1;
  double m_m2;

  ErlangVariable        m_erlangRandomVariable;
  GammaVariable         m_gammaRandomVariable;
};

/**
 * \ingroup propagation
 *
 * \brief Return a constant received power level independent of the transmit 
 *  power
 *
 * The received power is constant independent of the transmit power.  The user
 * must set received power level through the Rss attribute or public 
 * SetRss() method.  Note that if this loss model is chained to other loss
 * models via SetNext() method, it can only be the first loss model in such
 * a chain, or else it will disregard the losses computed by loss models
 * that precede it in the chain. 
 */ 
class FixedRssLossModel : public PropagationLossModel
{
public:
  static TypeId GetTypeId (void);

  FixedRssLossModel ();
  virtual ~FixedRssLossModel ();
  /**
   * \param rss (dBm) the received signal strength
   *
   * Set the received signal strength (RSS) in dBm.
   */
  void SetRss (double rss);

private:
  FixedRssLossModel (const FixedRssLossModel &o);
  FixedRssLossModel & operator = (const FixedRssLossModel &o);
  virtual double DoCalcRxPower (double txPowerDbm,
                                Ptr<MobilityModel> a,
                                Ptr<MobilityModel> b) const;
  double m_rss;
};

/**
 * \ingroup propagation
 *
 * \brief The propagation loss is fixed for each pair of nodes and doesn't depend on their actual positions.
 * 
 * This is supposed to be used by synthetic tests. Note that by default propagation loss is assumed to be symmetric.
 */
class MatrixPropagationLossModel : public PropagationLossModel
{
public:
  static TypeId GetTypeId (void);

  MatrixPropagationLossModel ();
  virtual ~MatrixPropagationLossModel ();

  /**
   * \brief Set loss (in dB, positive) between pair of ns-3 objects
   * (typically, nodes).
   * 
   * \param a ma          Source mobility model
   * \param b mb          Destination mobility model
   * \param loss        a -> b path loss, positive in dB
   * \param symmetric   If true (default), both a->b and b->a paths will be affected
   */ 
  void SetLoss (Ptr<MobilityModel> a, Ptr<MobilityModel> b, double loss, bool symmetric = true);
  /// Set default loss (in dB, positive) to be used, infinity if not set
  void SetDefaultLoss (double);

private:
  virtual double DoCalcRxPower (double txPowerDbm,
                                Ptr<MobilityModel> a,
                                Ptr<MobilityModel> b) const;
private:
  /// default loss
  double m_default; 

  typedef std::pair< Ptr<MobilityModel>, Ptr<MobilityModel> > MobilityPair; 
  /// Fixed loss between pair of nodes
  std::map<MobilityPair, double> m_loss;
};

/**
 * \ingroup propagation
 *
 * \brief The propagation loss depends only on the distance (range) between transmitter and receiver.
 *
 * The single MaxRange attribute (units of meters) determines path loss.
 * Receivers at or within MaxRange meters receive the transmission at the
 * transmit power level. Receivers beyond MaxRange receive at power
 * -1000 dBm (effectively zero).
*/
class RangePropagationLossModel : public PropagationLossModel
{
public:
  static TypeId GetTypeId (void);
  RangePropagationLossModel ();
private:
  RangePropagationLossModel (const RangePropagationLossModel& o);
  RangePropagationLossModel& operator= (const RangePropagationLossModel& o);
  virtual double DoCalcRxPower (double txPowerDbm,
                                Ptr<MobilityModel> a,
                                Ptr<MobilityModel> b) const;
private:
  double m_range;
};

} // namespace ns3

#endif /* PROPAGATION_LOSS_MODEL_H */