/* -*- Mode: C++; c-file-style: "gnu"; indent-tabs-mode:nil; -*- */ /* * Copyright (c) 2010 The Boeing Company * * 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: Gary Pei */ // This example is used to validate NIST and YANS error rate models for OFDM 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 OFDM mode. #include "ns3/core-module.h" #include "ns3/yans-error-rate-model.h" #include "ns3/nist-error-rate-model.h" #include "ns3/gnuplot.h" #include #include #include using namespace ns3; int main (int argc, char *argv[]) { uint32_t FrameSize = 2000; std::ofstream yansfile ("yans-frame-success-rate.plt"); std::ofstream nistfile ("nist-frame-success-rate.plt"); std::vector modes; modes.push_back ("OfdmRate6Mbps"); modes.push_back ("OfdmRate9Mbps"); modes.push_back ("OfdmRate12Mbps"); modes.push_back ("OfdmRate18Mbps"); modes.push_back ("OfdmRate24Mbps"); modes.push_back ("OfdmRate36Mbps"); modes.push_back ("OfdmRate48Mbps"); modes.push_back ("OfdmRate54Mbps"); CommandLine cmd; cmd.AddValue ("FrameSize", "The frame size", FrameSize); cmd.Parse (argc, argv); Gnuplot yansplot = Gnuplot ("yans-frame-success-rate.eps"); Gnuplot nistplot = Gnuplot ("nist-frame-success-rate.eps"); Ptr yans = CreateObject (); Ptr nist = CreateObject (); WifiTxVector txVector; 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 (); }