9#include "ns3/constant-position-mobility-model.h" 
   10#include "ns3/double.h" 
   12#include "ns3/propagation-loss-model.h" 
   13#include "ns3/simulator.h" 
   42    void DoRun() 
override;
 
 
   58    : 
TestCase(
"Check to see that the ns-3 Friis propagation loss model provides correct received " 
 
   81    double txPowerW = 0.05035702;
 
   82    double txPowerdBm = 10 * std::log10(txPowerW) + 30;
 
   96    testVector.
m_pt = txPowerdBm;
 
   97    testVector.
m_pr = 4.98265e-10;
 
  102    testVector.
m_pt = txPowerdBm;
 
  103    testVector.
m_pr = 1.99306e-11;
 
  108    testVector.
m_pt = txPowerdBm;
 
  109    testVector.
m_pr = 4.98265e-12;
 
  114    testVector.
m_pt = txPowerdBm;
 
  115    testVector.
m_pr = 1.24566e-12;
 
  122    a->SetPosition(Vector(0, 0, 0));
 
  130        double resultdBm = lossModel->CalcRxPower(testVector.
m_pt, a, b);
 
  131        double resultW = std::pow(10.0, resultdBm / 10.0) / 1000;
 
  135                                  "Got unexpected rcv power");
 
 
  153    void DoRun() 
override;
 
 
  169    : 
TestCase(
"Check to see that the ns-3 TwoRayGround propagation loss model provides correct " 
 
  193    double txPowerW = 0.05035702;
 
  194    double txPowerdBm = 10 * std::log10(txPowerW) + 30;
 
  209    testVector.
m_pt = txPowerdBm;
 
  210    testVector.
m_pr = 4.98265e-10;
 
  217    testVector.
m_pt = txPowerdBm;
 
  218    testVector.
m_pr = 4.07891862e-12;
 
  223    testVector.
m_pt = txPowerdBm;
 
  224    testVector.
m_pr = 2.5493241375e-13;
 
  229    testVector.
m_pt = txPowerdBm;
 
  230    testVector.
m_pr = 1.593327585938e-14;
 
  239    testVector.
m_pt = txPowerdBm;
 
  240    testVector.
m_pr = 1.13303295e-11;
 
  247    testVector.
m_pt = txPowerdBm;
 
  248    testVector.
m_pr = 3.42742467375e-12;
 
  255    testVector.
m_pt = txPowerdBm;
 
  256    testVector.
m_pr = 9.36522547734e-13;
 
  263    a->SetPosition(Vector(0, 0, 0));
 
  272        double resultdBm = lossModel->CalcRxPower(testVector.
m_pt, a, b);
 
  273        double resultW = std::pow(10.0, resultdBm / 10.0) / 1000;
 
  277                                  "Got unexpected rcv power");
 
 
  293    void DoRun() 
override;
 
 
  309    : 
TestCase(
"Check to see that the ns-3 Log Distance propagation loss model provides correct " 
 
  329    double txPowerW = 0.05035702;
 
  330    double txPowerdBm = 10 * std::log10(txPowerW) + 30;
 
  341    testVector.
m_pt = txPowerdBm;
 
  342    testVector.
m_pr = 4.98265e-9;
 
  347    testVector.
m_pt = txPowerdBm;
 
  348    testVector.
m_pr = 6.22831e-10;
 
  353    testVector.
m_pt = txPowerdBm;
 
  354    testVector.
m_pr = 7.78539e-11;
 
  359    testVector.
m_pt = txPowerdBm;
 
  360    testVector.
m_pr = 9.73173e-12;
 
  365    a->SetPosition(Vector(0, 0, 0));
 
  374        double resultdBm = lossModel->CalcRxPower(testVector.
m_pt, a, b);
 
  375        double resultW = std::pow(10.0, resultdBm / 10.0) / 1000;
 
  379                                  "Got unexpected rcv power");
 
 
  395    void DoRun() 
override;
 
 
  399    : 
TestCase(
"Test MatrixPropagationLossModel")
 
 
  411    for (
int i = 0; i < 3; ++i)
 
  422    loss.
SetLoss(m[0], m[2], 30,  
false);
 
  423    loss.
SetLoss(m[2], m[0], 100,  
false);
 
 
  448    void DoRun() 
override;
 
 
  452    : 
TestCase(
"Test RangePropagationLossModel")
 
 
  465    a->SetPosition(Vector(0, 0, 0));
 
  467    b->SetPosition(Vector(127.1, 0, 0)); 
 
  471    double txPwrdBm = -80.0;
 
  472    double tolerance = 1e-6;
 
  473    double resultdBm = lossModel->CalcRxPower(txPwrdBm, a, b);
 
  475    b->SetPosition(Vector(127.25, 0, 0)); 
 
  476    resultdBm = lossModel->CalcRxPower(txPwrdBm, a, b);
 
 
FriisPropagationLossModel Test.
FriisPropagationLossModelTestCase()
~FriisPropagationLossModelTestCase() override
void DoRun() override
Implementation to actually run this TestCase.
TestVectors< TestVector > m_testVectors
Test vectors.
LogDistancePropagationLossModel Test.
TestVectors< TestVector > m_testVectors
Test vectors.
~LogDistancePropagationLossModelTestCase() override
LogDistancePropagationLossModelTestCase()
void DoRun() override
Implementation to actually run this TestCase.
MatrixPropagationLossModel Test.
void DoRun() override
Implementation to actually run this TestCase.
MatrixPropagationLossModelTestCase()
~MatrixPropagationLossModelTestCase() override
Propagation models TestSuite.
PropagationLossModelsTestSuite()
RangePropagationLossModel Test.
~RangePropagationLossModelTestCase() override
RangePropagationLossModelTestCase()
void DoRun() override
Implementation to actually run this TestCase.
TwoRayGroundPropagationLossModel Test.
TwoRayGroundPropagationLossModelTestCase()
~TwoRayGroundPropagationLossModelTestCase() override
TestVectors< TestVector > m_testVectors
Test vectors.
void DoRun() override
Implementation to actually run this TestCase.
This class can be used to hold variables of floating point type such as 'double' or 'float'.
The propagation loss is fixed for each pair of nodes and doesn't depend on their actual positions.
void SetLoss(Ptr< MobilityModel > a, Ptr< MobilityModel > b, double loss, bool symmetric=true)
Set loss (in dB, positive) between pair of ns-3 objects (typically, nodes).
void SetDefaultLoss(double defaultLoss)
Set the default propagation loss (in dB, positive) to be used, infinity if not set.
double CalcRxPower(double txPowerDbm, Ptr< MobilityModel > a, Ptr< MobilityModel > b) const
Returns the Rx Power taking into account all the PropagationLossModel(s) chained to the current one.
Smart pointer class similar to boost::intrusive_ptr.
static void Destroy()
Execute the events scheduled with ScheduleDestroy().
void AddTestCase(TestCase *testCase, Duration duration=Duration::QUICK)
Add an individual child TestCase to this test suite.
A simple way to store test vectors (for stimulus or from responses)
void SetDefault(std::string name, const AttributeValue &value)
#define NS_LOG_COMPONENT_DEFINE(name)
Define a Log component with a specific name.
Ptr< T > CreateObject(Args &&... args)
Create an object by type, with varying number of constructor parameters.
#define NS_TEST_ASSERT_MSG_EQ(actual, limit, msg)
Test that an actual and expected (limit) value are equal and report and abort if not.
#define NS_TEST_EXPECT_MSG_EQ_TOL(actual, limit, tol, msg)
Test that actual and expected (limit) values are equal to plus or minus some tolerance and report if ...
Every class exported by the ns3 library is enclosed in the ns3 namespace.
static PropagationLossModelsTestSuite g_propagationLossModelsTestSuite
Static variable for test initialization.
Vector m_position
Test node position.
double m_pt
Tx power [dBm].
double m_tolerance
Tolerance.
double m_pt
Tx power [dBm].
double m_tolerance
Tolerance.
Vector m_position
Test node position.
double m_pt
Tx power [dBm].
double m_tolerance
Tolerance.
Vector m_position
Test node position.