A Discrete-Event Network Simulator
API
ofdm-validation.cc
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3  * Copyright (c) 2010 The Boeing Company
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18  * Author: Gary Pei <guangyu.pei@boeing.com>
19  */
20 
21 // This example is used to validate NIST and YANS error rate models for OFDM rates.
22 //
23 // It ouputs plots of the Frame Success Rate versus the Signal-to-noise ratio for
24 // both NIST and YANS error rate models and for every OFDM mode.
25 
26 #include "ns3/core-module.h"
27 #include "ns3/yans-error-rate-model.h"
28 #include "ns3/nist-error-rate-model.h"
29 #include "ns3/gnuplot.h"
30 
31 #include <fstream>
32 #include <vector>
33 #include <cmath>
34 
35 using namespace ns3;
36 
37 int main (int argc, char *argv[])
38 {
39  uint32_t FrameSize = 2000;
40  std::ofstream yansfile ("yans-frame-success-rate.plt");
41  std::ofstream nistfile ("nist-frame-success-rate.plt");
42  std::vector <std::string> modes;
43 
44  modes.push_back ("OfdmRate6Mbps");
45  modes.push_back ("OfdmRate9Mbps");
46  modes.push_back ("OfdmRate12Mbps");
47  modes.push_back ("OfdmRate18Mbps");
48  modes.push_back ("OfdmRate24Mbps");
49  modes.push_back ("OfdmRate36Mbps");
50  modes.push_back ("OfdmRate48Mbps");
51  modes.push_back ("OfdmRate54Mbps");
52 
54  cmd.AddValue ("FrameSize", "The frame size", FrameSize);
55  cmd.Parse (argc, argv);
56 
57  Gnuplot yansplot = Gnuplot ("yans-frame-success-rate.eps");
58  Gnuplot nistplot = Gnuplot ("nist-frame-success-rate.eps");
59 
60  Ptr <YansErrorRateModel> yans = CreateObject<YansErrorRateModel> ();
61  Ptr <NistErrorRateModel> nist = CreateObject<NistErrorRateModel> ();
62  WifiTxVector txVector;
63 
64  for (uint32_t i = 0; i < modes.size (); i++)
65  {
66  std::cout << modes[i] << std::endl;
67  Gnuplot2dDataset yansdataset (modes[i]);
68  Gnuplot2dDataset nistdataset (modes[i]);
69  txVector.SetMode (modes[i]);
70 
71  for (double snr = -5.0; snr <= 30.0; snr += 0.1)
72  {
73  double ps = yans->GetChunkSuccessRate (WifiMode (modes[i]), txVector, std::pow (10.0,snr / 10.0), FrameSize * 8);
74  yansdataset.Add (snr, ps);
75  if (ps < 0 || ps > 1)
76  {
77  //error
78  return 0;
79  }
80  ps = nist->GetChunkSuccessRate (WifiMode (modes[i]), txVector, std::pow (10.0,snr / 10.0), FrameSize * 8);
81  if (ps < 0 || ps > 1)
82  {
83  //error
84  return 0;
85  }
86  nistdataset.Add (snr, ps);
87  }
88 
89  yansplot.AddDataset (yansdataset);
90  nistplot.AddDataset (nistdataset);
91  }
92 
93  yansplot.SetTerminal ("postscript eps color enh \"Times-BoldItalic\"");
94  yansplot.SetLegend ("SNR(dB)", "Frame Success Rate");
95  yansplot.SetExtra ("set xrange [-5:30]\n\
96 set yrange [0:1.2]\n\
97 set style line 1 linewidth 5\n\
98 set style line 2 linewidth 5\n\
99 set style line 3 linewidth 5\n\
100 set style line 4 linewidth 5\n\
101 set style line 5 linewidth 5\n\
102 set style line 6 linewidth 5\n\
103 set style line 7 linewidth 5\n\
104 set style line 8 linewidth 5\n\
105 set style increment user" );
106  yansplot.GenerateOutput (yansfile);
107  yansfile.close ();
108 
109  nistplot.SetTerminal ("postscript eps color enh \"Times-BoldItalic\"");
110  nistplot.SetLegend ("SNR(dB)", "Frame Success Rate");
111  nistplot.SetExtra ("set xrange [-5:30]\n\
112 set yrange [0:1.2]\n\
113 set style line 1 linewidth 5\n\
114 set style line 2 linewidth 5\n\
115 set style line 3 linewidth 5\n\
116 set style line 4 linewidth 5\n\
117 set style line 5 linewidth 5\n\
118 set style line 6 linewidth 5\n\
119 set style line 7 linewidth 5\n\
120 set style line 8 linewidth 5\n\
121 set style increment user" );
122 
123  nistplot.GenerateOutput (nistfile);
124  nistfile.close ();
125 }
Smart pointer class similar to boost::intrusive_ptr.
Definition: ptr.h:73
This class mimics the TXVECTOR which is to be passed to the PHY in order to define the parameters whi...
Class to represent a 2D points plot.
Definition: gnuplot.h:113
void AddDataset(const GnuplotDataset &dataset)
Definition: gnuplot.cc:756
represent a single transmission modeA WifiMode is implemented by a single integer which is used to lo...
Definition: wifi-mode.h:99
tuple cmd
Definition: second.py:35
a simple class to generate gnuplot-ready plotting commands from a set of datasets.
Definition: gnuplot.h:367
virtual double GetChunkSuccessRate(WifiMode mode, WifiTxVector txVector, double snr, uint32_t nbits) const
A pure virtual method that must be implemented in the subclass.
void GenerateOutput(std::ostream &os)
Writes gnuplot commands and data values to a single output stream.
Definition: gnuplot.cc:762
Parse command-line arguments.
Definition: command-line.h:205
void SetLegend(const std::string &xLegend, const std::string &yLegend)
Definition: gnuplot.cc:736
Every class exported by the ns3 library is enclosed in the ns3 namespace.
void SetExtra(const std::string &extra)
Definition: gnuplot.cc:743
void AddValue(const std::string &name, const std::string &help, T &value)
Add a program argument, assigning to POD.
Definition: command-line.h:495
void Parse(int argc, char *argv[])
Parse the program arguments.
void SetTerminal(const std::string &terminal)
Definition: gnuplot.cc:724