/* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */
/*
* Copyright (c) 2012 Telum (www.telum.ru)
*
* 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: Kirill Andreev <andreev@telum.ru>
*/
#include "ns3/core-module.h"
#include "ns3/mobility-module.h"
#include "ns3/jakes-propagation-loss-model.h"
#include <vector>
#include <cmath>
using namespace ns3;
/**
* \ingroup propagation
* \brief Constructs a JakesPropagationlossModel and print the loss value as a function of time into std::cout.
* Distribution and correlation statistics is compared woth a theoretical ones using R package (http://www.r-project.org/).
* Scripts are presented within comments.
*/
class JakesPropagationExample
{
public:
JakesPropagationExample ();
~JakesPropagationExample ();
private:
Ptr<PropagationLossModel> m_loss;
Ptr<MobilityModel> m_firstMobility;
Ptr<MobilityModel> m_secondMobility;
Time m_step;
EventId m_nextEvent;
void Next ();
};
JakesPropagationExample::JakesPropagationExample () :
m_step (Seconds (0.0002)) //1/5000 part of the second
{
m_loss = CreateObject<JakesPropagationLossModel> ();
m_firstMobility = CreateObject<ConstantPositionMobilityModel> ();
m_secondMobility = CreateObject<ConstantPositionMobilityModel> ();
m_firstMobility->SetPosition (Vector (0, 0, 0));
m_secondMobility->SetPosition (Vector (10, 0, 0));
m_nextEvent = Simulator::Schedule (m_step, &JakesPropagationExample::Next, this);
}
JakesPropagationExample::~JakesPropagationExample ()
{
}
void JakesPropagationExample::Next ()
{
m_nextEvent = Simulator::Schedule (m_step, &JakesPropagationExample::Next, this);
std::cout << Simulator::Now ().GetMilliSeconds () << " " << m_loss->CalcRxPower (0, m_firstMobility, m_secondMobility) << std::endl;
}
int main (int argc, char *argv[])
{
Config::SetDefault ("ns3::JakesProcess::NumberOfOscillators", UintegerValue (100));
CommandLine cmd;
cmd.Parse (argc, argv);
JakesPropagationExample example;
Simulator::Stop (Seconds (1000));
Simulator::Run ();
Simulator::Destroy ();
/*
* R script for plotting a distribution:
data<-read.table ("data")
rayleigh<-(rnorm(1e6)^2+rnorm(1e6)^2)/2
qqplot(10*log10(rayleigh), data$V2, main="QQ-plot for improved Jakes model", xlab="Reference Rayleigh distribution [power, dB]", ylab="Sum-of-sinusoids distribution [power, dB]", xlim=c(-45, 10), ylim=c(-45, 10))
lines (c(-50, 50), c(-50, 50))
abline (v=-50:50*2, h=-50:50*2, col="light grey")
*/
/*
* R script to plot autocorrelation function:
# Read amplitude distribution:
data<-10^(read.table ("data")$V2/20)
x<-1:2000/10
acf (data, lag.max=200, main="Autocorrelation function of the improved Jakes model", xlab="Time x200 microseconds ", ylab="Autocorrelation")
# If we have a delta T = 1/5000 part of the second and doppler freq = 80 Hz
lines (x, besselJ(x*80*2*pi/5000, 0)^2)
abline (h=0:10/10, col="light grey")
*/
return 0;
}