A Discrete-Event Network Simulator
API
dsss-error-rate-model.cc
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1 /* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */
2 /*
3  * Copyright (c) 2010 The Boeing Company
4  *
5  * This program is free software; you can redistribute it and/or modify
6  * it under the terms of the GNU General Public License version 2 as
7  * published by the Free Software Foundation;
8  *
9  * This program is distributed in the hope that it will be useful,
10  * but WITHOUT ANY WARRANTY; without even the implied warranty of
11  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
12  * GNU General Public License for more details.
13  *
14  * You should have received a copy of the GNU General Public License
15  * along with this program; if not, write to the Free Software
16  * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
17  *
18  * Author: Gary Pei <guangyu.pei@boeing.com>
19  */
20 
21 #include "ns3/log.h"
22 #include "dsss-error-rate-model.h"
23 #include <cmath>
24 
25 namespace ns3 {
26 
27 NS_LOG_COMPONENT_DEFINE ("DsssErrorRateModel");
28 
29 #ifndef HAVE_GSL
30 const double DsssErrorRateModel::WLAN_SIR_PERFECT = 10.0;
32 #endif
33 
34 double
36 {
38  return ((std::sqrt (2.0) + 1.0) / std::sqrt (8.0 * M_PI * std::sqrt (2.0)))
39  * (1.0 / std::sqrt (x)) * std::exp ( -(2.0 - std::sqrt (2.0)) * x);
40 }
41 
42 double
43 DsssErrorRateModel::GetDsssDbpskSuccessRate (double sinr, uint64_t nbits)
44 {
46  double EbN0 = sinr * 22000000.0 / 1000000.0; //1 bit per symbol with 1 MSPS
47  double ber = 0.5 * std::exp (-EbN0);
48  return std::pow ((1.0 - ber), static_cast<double> (nbits));
49 }
50 
51 double
52 DsssErrorRateModel::GetDsssDqpskSuccessRate (double sinr, uint64_t nbits)
53 {
55  double EbN0 = sinr * 22000000.0 / 1000000.0 / 2.0; //2 bits per symbol, 1 MSPS
56  double ber = DqpskFunction (EbN0);
57  return std::pow ((1.0 - ber), static_cast<double> (nbits));
58 }
59 
60 double
62 {
64 #ifdef HAVE_GSL
65  //symbol error probability
66  double EbN0 = sinr * 22000000.0 / 1375000.0 / 4.0;
67  double sep = SymbolErrorProb16Cck (4.0 * EbN0 / 2.0);
68  return std::min (1.0, std::pow (1.0 - sep, nbits / 4.0));
69 #else
70  NS_LOG_WARN ("Running a 802.11b CCK Matlab model less accurate than GSL model");
71  //The Matlab model
72  double ber;
73  if (sinr > WLAN_SIR_PERFECT)
74  {
75  ber = 0.0;
76  }
77  else if (sinr < WLAN_SIR_IMPOSSIBLE)
78  {
79  ber = 0.5;
80  }
81  else
82  {
83  //fitprops.coeff from Matlab berfit
84  double a1 = 5.3681634344056195e-001;
85  double a2 = 3.3092430025608586e-003;
86  double a3 = 4.1654372361004000e-001;
87  double a4 = 1.0288981434358866e+000;
88  ber = a1 * std::exp (-std::pow ((sinr - a2) / a3, a4));
89  }
90  return std::min (1.0, std::pow ((1.0 - ber), static_cast<double> (nbits)));
91 #endif
92 }
93 
94 double
96 {
98 #ifdef HAVE_GSL
99  NS_LOG_DEBUG ("GSL enabled ");
100  //symbol error probability
101  double EbN0 = sinr * 22000000.0 / 1375000.0 / 8.0;
102  double sep = SymbolErrorProb256Cck (8.0 * EbN0 / 2.0);
103  return std::min (1.0, std::pow (1.0 - sep, nbits / 8.0));
104 #else
105  NS_LOG_WARN ("Running a 802.11b CCK Matlab model less accurate than GSL model");
106  //The Matlab model
107  double ber;
108  if (sinr > WLAN_SIR_PERFECT)
109  {
110  ber = 0.0;
111  }
112  else if (sinr < WLAN_SIR_IMPOSSIBLE)
113  {
114  ber = 0.5;
115  }
116  else
117  {
118  //fitprops.coeff from Matlab berfit
119  double a1 = 7.9056742265333456e-003;
120  double a2 = -1.8397449399176360e-001;
121  double a3 = 1.0740689468707241e+000;
122  double a4 = 1.0523316904502553e+000;
123  double a5 = 3.0552298746496687e-001;
124  double a6 = 2.2032715128698435e+000;
125  ber = (a1 * sinr * sinr + a2 * sinr + a3) / (sinr * sinr * sinr + a4 * sinr * sinr + a5 * sinr + a6);
126  }
127  return std::min (1.0, std::pow ((1.0 - ber), static_cast<double> (nbits)));
128 #endif
129 }
130 
131 #ifdef HAVE_GSL
132 double
133 IntegralFunction (double x, void *params)
134 {
135  double beta = ((FunctionParameters *) params)->beta;
136  double n = ((FunctionParameters *) params)->n;
137  double IntegralFunction = std::pow (2 * gsl_cdf_ugaussian_P (x + beta) - 1, n - 1)
138  * std::exp (-x * x / 2.0) / std::sqrt (2.0 * M_PI);
139  return IntegralFunction;
140 }
141 
142 double
143 DsssErrorRateModel::SymbolErrorProb16Cck (double e2)
144 {
145  double sep;
146  double error;
147 
148  FunctionParameters params;
149  params.beta = std::sqrt (2.0 * e2);
150  params.n = 8.0;
151 
152  gsl_integration_workspace * w = gsl_integration_workspace_alloc (1000);
153 
154  gsl_function F;
155  F.function = &IntegralFunction;
156  F.params = &params;
157 
158  gsl_integration_qagiu (&F,-params.beta, 0, 1e-7, 1000, w, &sep, &error);
159  gsl_integration_workspace_free (w);
160  if (error == 0.0)
161  {
162  sep = 1.0;
163  }
164 
165  return 1.0 - sep;
166 }
167 
168 double DsssErrorRateModel::SymbolErrorProb256Cck (double e1)
169 {
170  return 1.0 - std::pow (1.0 - SymbolErrorProb16Cck (e1 / 2.0), 2.0);
171 }
172 
173 #endif
174 
175 } //namespace ns3
#define min(a, b)
Definition: 80211b.c:42
static double GetDsssDqpskSuccessRate(double sinr, uint64_t nbits)
Return the chunk success rate of the differential encoded QPSK.
static const double WLAN_SIR_PERFECT
WLAN perfect.
static double GetDsssDbpskSuccessRate(double sinr, uint64_t nbits)
Return the chunk success rate of the differential BPSK.
static double GetDsssDqpskCck5_5SuccessRate(double sinr, uint64_t nbits)
Return the chunk success rate of the differential encoded QPSK for 5.5Mbps data rate.
static double GetDsssDqpskCck11SuccessRate(double sinr, uint64_t nbits)
Return the chunk success rate of the differential encoded QPSK for 11Mbps data rate.
static const double WLAN_SIR_IMPOSSIBLE
WLAN impossible.
static double DqpskFunction(double x)
A function DQPSK.
#define NS_LOG_COMPONENT_DEFINE(name)
Define a Log component with a specific name.
Definition: log.h:205
#define NS_LOG_DEBUG(msg)
Use NS_LOG to output a message of level LOG_DEBUG.
Definition: log.h:273
#define NS_LOG_FUNCTION_NOARGS()
Output the name of the function.
#define NS_LOG_WARN(msg)
Use NS_LOG to output a message of level LOG_WARN.
Definition: log.h:265
Every class exported by the ns3 library is enclosed in the ns3 namespace.
list x
Random number samples.