114 lines
3.4 KiB
C++
114 lines
3.4 KiB
C++
/*
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* SPDX-License-Identifier: GPL-2.0-only
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*
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* Author: Sébastien Deronne <sebastien.deronne@gmail.com>
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*/
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// This example is used to generate plots of the Frame Success Rate (FSR) versus the Signal-to-noise
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// ratio (SNR) for NIST, YANS and Table-based error rate models and for every DSSS rate. It also
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// performs a boundary check to ensure that the FSR is between 0 and 1. The results are finally
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// saved in files (.plt) per model which can be processed by gnuplot to generate the plots.
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#include "ns3/command-line.h"
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#include "ns3/gnuplot.h"
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#include "ns3/nist-error-rate-model.h"
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#include "ns3/table-based-error-rate-model.h"
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#include "ns3/wifi-tx-vector.h"
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#include "ns3/yans-error-rate-model.h"
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#include <cmath>
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#include <fstream>
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using namespace ns3;
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int
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main(int argc, char* argv[])
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{
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uint32_t frameSizeBytes = 1500;
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std::ofstream file("frame-success-rate-dsss.plt");
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const std::vector<std::string> modes{
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"DsssRate1Mbps",
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"DsssRate2Mbps",
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"DsssRate5_5Mbps",
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"DsssRate11Mbps",
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};
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CommandLine cmd(__FILE__);
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cmd.AddValue("FrameSize", "The frame size in bytes", frameSizeBytes);
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cmd.Parse(argc, argv);
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Gnuplot plot = Gnuplot("frame-success-rate-dsss.eps");
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Ptr<YansErrorRateModel> yans = CreateObject<YansErrorRateModel>();
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Ptr<NistErrorRateModel> nist = CreateObject<NistErrorRateModel>();
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Ptr<TableBasedErrorRateModel> table = CreateObject<TableBasedErrorRateModel>();
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WifiTxVector txVector;
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uint32_t frameSizeBits = frameSizeBytes * 8;
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for (const auto& mode : modes)
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{
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std::cout << mode << std::endl;
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Gnuplot2dDataset dataset(mode);
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txVector.SetMode(mode);
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WifiMode wifiMode(mode);
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for (double snrDb = -10.0; snrDb <= 20.0; snrDb += 0.1)
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{
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double snr = std::pow(10.0, snrDb / 10.0);
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double psYans = yans->GetChunkSuccessRate(wifiMode, txVector, snr, frameSizeBits);
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if (psYans < 0.0 || psYans > 1.0)
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{
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// error
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exit(1);
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}
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double psNist = nist->GetChunkSuccessRate(wifiMode, txVector, snr, frameSizeBits);
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if (psNist < 0.0 || psNist > 1.0)
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{
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std::cout << psNist << std::endl;
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// error
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exit(1);
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}
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if (psNist != psYans)
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{
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exit(1);
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}
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double psTable = table->GetChunkSuccessRate(wifiMode, txVector, snr, frameSizeBits);
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if (psTable < 0.0 || psTable > 1.0)
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{
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std::cout << psTable << std::endl;
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// error
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exit(1);
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}
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if (psTable != psYans)
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{
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exit(1);
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}
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dataset.Add(snrDb, psYans);
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}
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plot.AddDataset(dataset);
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}
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plot.SetTerminal("postscript eps color enh \"Times-BoldItalic\"");
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plot.SetLegend("SNR(dB)", "Frame Success Rate");
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plot.SetExtra("set xrange [-10:20]\n\
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set yrange [0:1.2]\n\
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set style line 1 linewidth 5\n\
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set style line 2 linewidth 5\n\
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set style line 3 linewidth 5\n\
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set style line 4 linewidth 5\n\
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set style line 5 linewidth 5\n\
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set style line 6 linewidth 5\n\
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set style line 7 linewidth 5\n\
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set style line 8 linewidth 5\n\
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set style increment user");
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plot.GenerateOutput(file);
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file.close();
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return 0;
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}
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