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/* -*- Mode: C++; c-file-style: "gnu"; indent-tabs-mode:nil; -*- */
/*
* 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
*
* Authors: Sébastien Deronne <sebastien.deronne@gmail.com>
*/
// This example is used to validate NIST and YANS error rate models for HT rates.
//
// It ouputs plots of the Frame Success Rate versus the Signal-to-noise ratio for
// both NIST and YANS error rate models and for every HT MCS value.
#include "ns3/core-module.h"
#include "ns3/yans-error-rate-model.h"
#include "ns3/nist-error-rate-model.h"
#include "ns3/gnuplot.h"
#include <fstream>
#include <vector>
#include <cmath>
using namespace ns3;
int main (int argc, char *argv[])
{
uint32_t FrameSize = 2000;
std::ofstream yansfile ("yans-frame-success-rate-n.plt");
std::ofstream nistfile ("nist-frame-success-rate-n.plt");
std::vector <std::string> modes;
modes.push_back ("HtMcs0");
modes.push_back ("HtMcs1");
modes.push_back ("HtMcs2");
modes.push_back ("HtMcs3");
modes.push_back ("HtMcs4");
modes.push_back ("HtMcs5");
modes.push_back ("HtMcs6");
modes.push_back ("HtMcs7");
CommandLine cmd;
cmd.AddValue ("FrameSize", "The frame size", FrameSize);
cmd.Parse (argc, argv);
Gnuplot yansplot = Gnuplot ("yans-frame-success-rate-n.eps");
Gnuplot nistplot = Gnuplot ("nist-frame-success-rate-n.eps");
WifiTxVector txVector;
Ptr <YansErrorRateModel> yans = CreateObject<YansErrorRateModel> ();
Ptr <NistErrorRateModel> nist = CreateObject<NistErrorRateModel> ();
for (uint32_t i = 0; i < modes.size (); i++)
{
std::cout << modes[i] << std::endl;
Gnuplot2dDataset yansdataset (modes[i]);
Gnuplot2dDataset nistdataset (modes[i]);
txVector.SetMode (modes[i]);
for (double snr = -5.0; snr <= 30.0; snr += 0.1)
{
double ps = yans->GetChunkSuccessRate (WifiMode (modes[i]), txVector, std::pow (10.0,snr / 10.0), FrameSize * 8);
yansdataset.Add (snr, ps);
if (ps < 0 || ps > 1)
{
//error
return 0;
}
ps = nist->GetChunkSuccessRate (WifiMode (modes[i]), txVector, std::pow (10.0,snr / 10.0), FrameSize * 8);
if (ps < 0 || ps > 1)
{
//error
return 0;
}
nistdataset.Add (snr, ps);
}
yansplot.AddDataset (yansdataset);
nistplot.AddDataset (nistdataset);
}
yansplot.SetTerminal ("postscript eps color enh \"Times-BoldItalic\"");
yansplot.SetLegend ("SNR(dB)", "Frame Success Rate");
yansplot.SetExtra ("set xrange [-5:30]\n\
set yrange [0:1.2]\n\
set style line 1 linewidth 5\n\
set style line 2 linewidth 5\n\
set style line 3 linewidth 5\n\
set style line 4 linewidth 5\n\
set style line 5 linewidth 5\n\
set style line 6 linewidth 5\n\
set style line 7 linewidth 5\n\
set style line 8 linewidth 5\n\
set style increment user" );
yansplot.GenerateOutput (yansfile);
yansfile.close ();
nistplot.SetTerminal ("postscript eps color enh \"Times-BoldItalic\"");
nistplot.SetLegend ("SNR(dB)", "Frame Success Rate");
nistplot.SetExtra ("set xrange [-5:30]\n\
set yrange [0:1.2]\n\
set style line 1 linewidth 5\n\
set style line 2 linewidth 5\n\
set style line 3 linewidth 5\n\
set style line 4 linewidth 5\n\
set style line 5 linewidth 5\n\
set style line 6 linewidth 5\n\
set style line 7 linewidth 5\n\
set style line 8 linewidth 5\n\
set style increment user" );
nistplot.GenerateOutput (nistfile);
nistfile.close ();
}
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