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channel.cpp
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#include "common.h"
#include "const.h"
#include "channel.h"
//void StaticGainGeneration(int, double *, LOCATION *) ;
void Set_Scenario_Environment() ;
void Setup_Network_Layout() ;
void Assign_UE_Location(int) ;
void Compute_Indoor_Location(int) ;
void Compute_Outdoor_Location(int) ;
void Set_PathLoss_Parameters(int, int) ;
void Determine_LOS(int, int) ;
void Set_Correlation_Matrix(int, int) ;
void Compute_PathLoss(int, int);
void Set_Shadowing(int, int) ;
//void FadingChannelGeneration( int, int, int, int ) ;
void Set_Delay_Parameters(int) ;
void Set_AoAAoD_Parameters(int) ;
void Set_Num_Path(int, int) ;
void Set_Cluster_Delay(int, int, int, int) ;
void Sort_Delay(int, int, int, int) ;
void Set_Cluster_Power(int, int, int, int) ;
void Scaling_Delay(int, int, int, int) ;
void Generate_AoAAoD(int, int, int, int);
void Set_Subclusters(int, int, int, int) ;
void Find_Max_idx(int, int, int, int) ;
void Sort_clusters(int, int, int, int) ;
void Generate_XPR(int, int, int, int) ;
void SetInitialPhase(int, int, int, int);
//void ChannelSampleGeneration(int, int, int, int) ;
void Compute_Channel_Coef(int, int, int, int, int) ;
//void Size_Channel_Parameters( void ) ;
/*===================================================================
FUNCTION: StaticGainGeneration()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Generate static gains.
NOTES: ...
===================================================================*/
void StaticGainGeneration( int self_idx, double * static_gain , LOCATION * coordinate )
{
Set_Scenario_Environment() ;
Setup_Network_Layout() ;
Assign_UE_Location(self_idx) ;
for(int sec_idx = 0; sec_idx < NUM_SECTORS; sec_idx++)
{
Determine_LOS(self_idx, sec_idx) ;
Set_PathLoss_Parameters(self_idx, sec_idx) ;
Compute_PathLoss(self_idx, sec_idx);
Set_Shadowing(self_idx, sec_idx) ;
antenna[ sec_idx ] = -MIN( 12. * pow((ue2sector_angle[self_idx][sec_idx]/ANGLE_3dB_h),2) , 30. );
// This equation comes from 8.5.1.1 (2) in dB
static_gain[ sec_idx ] = - ( shadowing + path_loss[ sec_idx ] ) ;
}
(*coordinate).x = location_x;
(*coordinate).y = location_y;
}
/*===================================================================
FUNCTION: Set_Scenario_Environment()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Set up the environment of each scenario
NOTES: Output are site2site_distance in [m],
carrier_freq in [GHz],
speed_UE in [m/s].
===================================================================*/
void Set_Scenario_Environment()
{
if ( scenario == INDOOR_HOTSPOT )
{
carrier_freq = 3.4 * 1000000000. ;
K_mu = 7. ;
K_sigma = 4. ;
speed_UE = 3. * 1000. /3600. ;
}
else if ( scenario == URBAN_MACRO )
{
site2site_distance = 500. ;
carrier_freq = 2.0 * 1000000000. ;
K_mu = 9. ;
K_sigma = 3.5 ;
speed_UE = 30. * 1000. /3600. ;
}
else if ( scenario == URBAN_MICRO || scenario == OUTDOOR_2_INDOOR )
{
site2site_distance = 200. ;
carrier_freq = 2.5 * 1000000000. ;
K_mu = 9. ;
K_sigma = 5. ;
speed_UE = 3. * 1000. /3600. ;
}
else if ( scenario == RURAL_MACRO )
{
site2site_distance = 1732. ;
carrier_freq = 0.7 * 1000000000. ;
K_mu = 7. ;
K_sigma = 4. ;
speed_UE = 120. * 1000. /3600. ;
}
else if ( scenario == SUBURBAN_MACRO )
{
site2site_distance = 1299. ;
carrier_freq = 2.0 * 1000000000. ;
K_mu = 9. ;
K_sigma = 7. ;
speed_UE = 90. * 1000. /3600. ;
}
else
{
cerr << "Unspeficied scenario" << endl ;
}
}
/*===================================================================
FUNCTION: Setup_Network_Layout()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Set up the network layout
NOTES:
===================================================================*/
void Setup_Network_Layout()
{
if ( scenario == INDOOR_HOTSPOT )
{
do
{
location_x = 120. * Rand.u() - 60. ;
location_y = 50. * Rand.u() - 25. ;
}while( sqrt( (location_x-30)*(location_x-30) + location_y*location_y ) < 3.
|| sqrt( (location_x+30)*(location_x+30) + location_y*location_y ) < 3. ) ;
}
else
{
do
{
location_x = 0.5 * site2site_distance * Rand.u() ;
location_y = (site2site_distance / sqrt(3.)) * Rand.u() ;
}while( location_y > (-location_x + site2site_distance) / sqrt(3.)
|| sqrt(location_x*location_x + location_y*location_y) < 10. ) ;
int section ;
section = (int) (4 * Rand.u()) ;
if ( section % 4 == 1 )
{
location_x = -location_x ;
}
else if ( section % 4 == 2 )
{
location_y = -location_y ;
}
else if ( section % 4 == 3 )
{
location_x = -location_x ;
location_y = -location_y ;
}
}
}
/*===================================================================
FUNCTION: Assign_UE_Location()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Compute distance and angle of UE to sectors
NOTES: Output are ue2sector_distance in [m],
ue2sector_angle.
===================================================================*/
void Assign_UE_Location(int self_idx)
{
if ( scenario == INDOOR_HOTSPOT )
{
Compute_Indoor_Location(self_idx) ;
}
else
{
Compute_Outdoor_Location(self_idx) ;
}
for(int sec_idx = 0; sec_idx < NUM_SECTORS; sec_idx++ )
{
if( ue2sector_angle[ self_idx ][ sec_idx ] > 180. )
{
ue2sector_angle[ self_idx ][ sec_idx ] = ue2sector_angle[ self_idx ][ sec_idx ] - 360. ;
}
}
travel_angle[self_idx] = 360. * Rand.u() - 180. ;
}
/*===================================================================
FUNCTION: Compute_Indoor_Location()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Compute distance and angle of UE to cells in indoor environment
NOTES:
===================================================================*/
void Compute_Indoor_Location(int self_idx)
{
distance_x = location_x + 30. ;
distance_y = location_y ;
ue2sector_distance[ self_idx ][0] = sqrt( distance_x * distance_x + distance_y * distance_y ) ;
ue2sector_angle[ self_idx ][0] = atan2( distance_y, distance_x ) * 180. / PI ;
distance_x = location_x - 30. ;
distance_y = location_y ;
ue2sector_distance[ self_idx ][1] = sqrt( distance_x * distance_x + distance_y * distance_y ) ;
ue2sector_angle[ self_idx ][1] = atan2( distance_y, distance_x ) * 180. / PI ;
}
/*===================================================================
FUNCTION: Compute_Outdoor_Location()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Compute distance and angle of UE to cells in Outdoor environment
NOTES:
===================================================================*/
void Compute_Outdoor_Location(int self_idx)
{
int mycell = (int)( 18.9999 * Rand.u() ) ;
int cell_idx = 0 ;
int cell_num ;
for(int height = 0; height < 5; height++)
{
int vert = 2 - height ;
int num_horiz = 5 - abs( vert ) ;
for(int horiz = 0; horiz < num_horiz; horiz++)
{
distance_x = location_x - ( horiz - 2. + 0.5 * abs(vert) ) * site2site_distance ;
distance_y = location_y - vert * sqrt(3.0) * site2site_distance / 2. ;
cell_num = wrap[ mycell ][ cell_idx ] ;
ue2sector_distance[ self_idx ][ 3 * cell_num ] = sqrt( distance_x * distance_x + distance_y * distance_y ) ;
ue2sector_angle[ self_idx ][ 3* cell_num ] = atan2( distance_y, distance_x ) * 180. / PI ;
cell_idx++ ;
}
}
for(int cell_num = 0; cell_num < NUM_SECTORS/3; cell_num++)
{
ue2sector_distance[ self_idx ][ 3 * cell_num + 1 ] = ue2sector_distance[ self_idx ][ 3 * cell_num ] ;
ue2sector_distance[ self_idx ][ 3 * cell_num + 2 ] = ue2sector_distance[ self_idx ][ 3 * cell_num ] ;
ue2sector_angle[ self_idx ][ 3 * cell_num + 1 ] = ue2sector_angle[ self_idx ][ 3 * cell_num ] + 120. ;
ue2sector_angle[ self_idx ][ 3 * cell_num + 2 ] = ue2sector_angle[ self_idx ][ 3 * cell_num ] + 240. ;
}
}
/*===================================================================
FUNCTION: Determine_LOS()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Determine LOS
NOTES:
===================================================================*/
void Determine_LOS(int self_idx, int sec_idx)
{
indoor[self_idx][sec_idx] = false ;
if ( los_type == NLOS || scenario == OUTDOOR_2_INDOOR )
{
los[self_idx][sec_idx] = false ;
}
else if ( los_type == LOS )
{
los[self_idx][sec_idx] = true ;
}
else if ( los_type == RANDOM )
{
double LOS_prob ;
if ( scenario == INDOOR_HOTSPOT )
{
if ( ue2sector_distance[self_idx][sec_idx] < 18. )
{
LOS_prob = 1. ;
}
else if ( ue2sector_distance[self_idx][sec_idx] < 37. )
{
LOS_prob = exp( -( ue2sector_distance[self_idx][sec_idx] - 18. ) / 27. ) ;
}
else
{
LOS_prob = 0.5 ;
}
}
else if ( scenario == URBAN_MACRO )
{
LOS_prob = MIN( 18./ue2sector_distance[self_idx][sec_idx] , 1. ) * ( 1. - exp( -ue2sector_distance[self_idx][sec_idx]/63. ) )
+ exp( -ue2sector_distance[self_idx][sec_idx]/63. );
}
else if ( scenario == URBAN_MICRO )
{
if( Rand.u() < 0.5 )
{
LOS_prob = 0. ;
indoor[self_idx][sec_idx] = true ;
}
else
{
LOS_prob = MIN( 18./ue2sector_distance[self_idx][sec_idx] , 1. ) * ( 1. - exp( -ue2sector_distance[self_idx][sec_idx]/36. ) )
+ exp( -ue2sector_distance[self_idx][sec_idx]/36. );
}
}
else if ( scenario == RURAL_MACRO )
{
LOS_prob = exp( -( ue2sector_distance[self_idx][sec_idx] - 10. ) / 1000. ) ;
}
else if ( scenario == SUBURBAN_MACRO )
{
LOS_prob = exp ( -( ue2sector_distance[self_idx][sec_idx] - 10. ) / 200. ) ;
}
else
{
cerr << "Unspeficied scenario" << endl ;
}
// Thses equations come from Table A1-3
if ( Rand.u() < LOS_prob )
{
los[self_idx][sec_idx] = true ;
}
else
{
los[self_idx][sec_idx] = false ;
}
}
Set_Correlation_Matrix(self_idx, sec_idx) ;
if( los[self_idx][sec_idx] == true )
{
double cross_corr = 0 ;
for( int idx = 0; idx < 5; idx++ )
{
cross_corr = cross_corr + sqrt_corr_matrix[4][idx] * random_number[self_idx][sec_idx][idx] ;
}
Ricean_K[ self_idx ][ sec_idx ] = K_mu + K_sigma * cross_corr ;
// This equation come from 1.3.2.1 (1.7)
}
else
{
Ricean_K[ self_idx ][ sec_idx ] = 0. ;
}
}
/*===================================================================
FUNCTION: Set_Correlation_Matrix()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Set up the parameters of cross-correlation
NOTES:
===================================================================*/
void Set_Correlation_Matrix(int self_idx, int sec_idx)
{
if (scenario == INDOOR_HOTSPOT)
{
if ( los[self_idx][sec_idx] == true )
{
sqrt_corr_matrix[0][0] = 0.6212; sqrt_corr_matrix[0][1] = 0.3270; sqrt_corr_matrix[0][2] = 0.4985; sqrt_corr_matrix[0][3] = -0.3974; sqrt_corr_matrix[0][4] = -0.3174;
sqrt_corr_matrix[1][0] = 0.3270; sqrt_corr_matrix[1][1] = 0.9236; sqrt_corr_matrix[1][2] = 0.1152; sqrt_corr_matrix[1][3] = -0.1486; sqrt_corr_matrix[1][4] = 0.0682;
sqrt_corr_matrix[2][0] = 0.4985; sqrt_corr_matrix[2][1] = 0.1152; sqrt_corr_matrix[2][2] = 0.8321; sqrt_corr_matrix[2][3] = -0.1836; sqrt_corr_matrix[2][4] = 0.1103;
sqrt_corr_matrix[3][0] = -0.3974; sqrt_corr_matrix[3][1] = -0.1486; sqrt_corr_matrix[3][2] = -0.1836; sqrt_corr_matrix[3][3] = 0.8568; sqrt_corr_matrix[3][4] = 0.2287;
sqrt_corr_matrix[4][0] = -0.3174; sqrt_corr_matrix[4][1] = 0.0682; sqrt_corr_matrix[4][2] = 0.1103; sqrt_corr_matrix[4][3] = 0.2287; sqrt_corr_matrix[4][4] = 0.9111;
}
else
{
sqrt_corr_matrix[0][0] = 0.9372; sqrt_corr_matrix[0][1] = 0.2136; sqrt_corr_matrix[0][2] = -0.0313; sqrt_corr_matrix[0][3] = -0.2739; sqrt_corr_matrix[0][4] = 0.0000;
sqrt_corr_matrix[1][0] = 0.2136; sqrt_corr_matrix[1][1] = 0.9764; sqrt_corr_matrix[1][2] = 0.0069; sqrt_corr_matrix[1][3] = 0.0313; sqrt_corr_matrix[1][4] = 0.0000;
sqrt_corr_matrix[2][0] = -0.0313; sqrt_corr_matrix[2][1] = 0.0069; sqrt_corr_matrix[2][2] = 0.9764; sqrt_corr_matrix[2][3] = -0.2136; sqrt_corr_matrix[2][4] = 0.0000;
sqrt_corr_matrix[3][0] = -0.2739; sqrt_corr_matrix[3][1] = 0.0313; sqrt_corr_matrix[3][2] = -0.2136; sqrt_corr_matrix[3][3] = 0.9372; sqrt_corr_matrix[3][4] = 0.0000;
sqrt_corr_matrix[4][0] = 0.0000; sqrt_corr_matrix[4][1] = 0.0000; sqrt_corr_matrix[4][2] = 0.0000; sqrt_corr_matrix[4][3] = 0.0000; sqrt_corr_matrix[4][4] = 1.0000;
}
}
else if ( scenario == URBAN_MACRO )
{
if ( los[self_idx][sec_idx] == true )
{
sqrt_corr_matrix[0][0] = 0.8063; sqrt_corr_matrix[0][1] = 0.2450; sqrt_corr_matrix[0][2] = 0.4792; sqrt_corr_matrix[0][3] = -0.1204; sqrt_corr_matrix[0][4] = -0.2138;
sqrt_corr_matrix[1][0] = 0.2450; sqrt_corr_matrix[1][1] = 0.9241; sqrt_corr_matrix[1][2] = -0.1086; sqrt_corr_matrix[1][3] = -0.2716; sqrt_corr_matrix[1][4] = 0.0218;
sqrt_corr_matrix[2][0] = 0.4792; sqrt_corr_matrix[2][1] = -0.1086; sqrt_corr_matrix[2][2] = 0.8257; sqrt_corr_matrix[2][3] = -0.2716; sqrt_corr_matrix[2][4] = -0.0556;
sqrt_corr_matrix[3][0] = -0.1204; sqrt_corr_matrix[3][1] = -0.2716; sqrt_corr_matrix[3][2] = -0.2716; sqrt_corr_matrix[3][3] = 0.9152; sqrt_corr_matrix[3][4] = -0.0185;
sqrt_corr_matrix[4][0] = -0.2138; sqrt_corr_matrix[4][1] = 0.0218; sqrt_corr_matrix[4][2] = 0.0556; sqrt_corr_matrix[4][3] = -0.0185; sqrt_corr_matrix[4][4] = 0.9749;
}
else
{
sqrt_corr_matrix[0][0] = 0.9139; sqrt_corr_matrix[0][1] = 0.1477; sqrt_corr_matrix[0][2] = 0.3180; sqrt_corr_matrix[0][3] = -0.2044; sqrt_corr_matrix[0][4] = 0.0000;
sqrt_corr_matrix[1][0] = 0.1477; sqrt_corr_matrix[1][1] = 0.9139; sqrt_corr_matrix[1][2] = 0.2044; sqrt_corr_matrix[1][3] = -0.3180; sqrt_corr_matrix[1][4] = 0.0000;
sqrt_corr_matrix[2][0] = 0.3180; sqrt_corr_matrix[2][1] = 0.2044; sqrt_corr_matrix[2][2] = 0.9231; sqrt_corr_matrix[2][3] = 0.0704; sqrt_corr_matrix[2][4] = 0.0000;
sqrt_corr_matrix[3][0] = -0.2044; sqrt_corr_matrix[3][1] = -0.3180; sqrt_corr_matrix[3][2] = 0.0704; sqrt_corr_matrix[3][3] = 0.9231; sqrt_corr_matrix[3][4] = 0.0000;
sqrt_corr_matrix[4][0] = 0.0000; sqrt_corr_matrix[4][1] = 0.0000; sqrt_corr_matrix[4][2] = 0.0000; sqrt_corr_matrix[4][3] = 0.0000; sqrt_corr_matrix[4][4] = 1.0000;
}
}
else if ( scenario == URBAN_MICRO && indoor[self_idx][sec_idx] == false )
{
if ( los[self_idx][sec_idx] == true )
{
sqrt_corr_matrix[0][0] = 0.7531; sqrt_corr_matrix[0][1] = 0.2410; sqrt_corr_matrix[0][2] = 0.4541; sqrt_corr_matrix[0][3] = -0.0972; sqrt_corr_matrix[0][4] = -0.3989;
sqrt_corr_matrix[1][0] = 0.2410; sqrt_corr_matrix[1][1] = 0.9294; sqrt_corr_matrix[1][2] = 0.1380; sqrt_corr_matrix[1][3] = -0.2424; sqrt_corr_matrix[1][4] = -0.0208;
sqrt_corr_matrix[2][0] = 0.4541; sqrt_corr_matrix[2][1] = 0.1380; sqrt_corr_matrix[2][2] = 0.8615; sqrt_corr_matrix[2][3] = -0.1756; sqrt_corr_matrix[2][4] = -0.0414;
sqrt_corr_matrix[3][0] = -0.0972; sqrt_corr_matrix[3][1] = -0.2424; sqrt_corr_matrix[3][2] = -0.1756; sqrt_corr_matrix[3][3] = 0.9157; sqrt_corr_matrix[3][4] = 0.2499;
sqrt_corr_matrix[4][0] = -0.3989; sqrt_corr_matrix[4][1] = -0.0208; sqrt_corr_matrix[4][2] = -0.0414; sqrt_corr_matrix[4][3] = 0.2499; sqrt_corr_matrix[4][4] = 0.8811;
}
else
{
sqrt_corr_matrix[0][0] = 0.9135; sqrt_corr_matrix[0][1] = 0.0000; sqrt_corr_matrix[0][2] = 0.1780; sqrt_corr_matrix[0][3] = -0.3658; sqrt_corr_matrix[0][4] = 0.0000;
sqrt_corr_matrix[1][0] = 0.0000; sqrt_corr_matrix[1][1] = 1.0000; sqrt_corr_matrix[1][2] = 0.0000; sqrt_corr_matrix[1][3] = 0.0000; sqrt_corr_matrix[1][4] = 0.0000;
sqrt_corr_matrix[2][0] = 0.1780; sqrt_corr_matrix[2][1] = 0.0000; sqrt_corr_matrix[2][2] = 0.9678; sqrt_corr_matrix[2][3] = -0.1780; sqrt_corr_matrix[2][4] = 0.0000;
sqrt_corr_matrix[3][0] = -0.3658; sqrt_corr_matrix[3][1] = 0.0000; sqrt_corr_matrix[3][2] = -0.1780; sqrt_corr_matrix[3][3] = 0.9135; sqrt_corr_matrix[3][4] = 0.0000;
sqrt_corr_matrix[4][0] = 0.0000; sqrt_corr_matrix[4][1] = 0.0000; sqrt_corr_matrix[4][2] = 0.0000; sqrt_corr_matrix[4][3] = 0.0000; sqrt_corr_matrix[4][4] = 1.0000;
}
}
else if (scenario == RURAL_MACRO)
{
if ( los[self_idx][sec_idx] == true )
{
sqrt_corr_matrix[0][0] = 0.9659; sqrt_corr_matrix[0][1] = 0.0000; sqrt_corr_matrix[0][2] = 0.0000; sqrt_corr_matrix[0][3] = -0.2588; sqrt_corr_matrix[0][4] = 0.0000;
sqrt_corr_matrix[1][0] = 0.0000; sqrt_corr_matrix[1][1] = 1.0000; sqrt_corr_matrix[1][2] = 0.0000; sqrt_corr_matrix[1][3] = 0.0000; sqrt_corr_matrix[1][4] = 0.0000;
sqrt_corr_matrix[2][0] = 0.0000; sqrt_corr_matrix[2][1] = 0.0000; sqrt_corr_matrix[2][2] = 1.0000; sqrt_corr_matrix[2][3] = 0.0000; sqrt_corr_matrix[2][4] = 0.0000;
sqrt_corr_matrix[3][0] = -0.2588; sqrt_corr_matrix[3][1] = 0.0000; sqrt_corr_matrix[3][2] = 0.0000; sqrt_corr_matrix[3][3] = 0.9659; sqrt_corr_matrix[3][4] = 0.0000;
sqrt_corr_matrix[4][0] = 0.0000; sqrt_corr_matrix[4][1] = 0.0000; sqrt_corr_matrix[4][2] = 0.0000; sqrt_corr_matrix[4][3] = 0.0000; sqrt_corr_matrix[4][4] = 1.0000;
}
else
{
sqrt_corr_matrix[0][0] = 0.9556; sqrt_corr_matrix[0][1] = -0.1735; sqrt_corr_matrix[0][2] = 0.0000; sqrt_corr_matrix[0][3] = -0.2384; sqrt_corr_matrix[0][4] = 0.0000;
sqrt_corr_matrix[1][0] = -0.1735; sqrt_corr_matrix[1][1] = 0.9380; sqrt_corr_matrix[1][2] = 0.0000; sqrt_corr_matrix[1][3] = 0.3001; sqrt_corr_matrix[1][4] = 0.0000;
sqrt_corr_matrix[2][0] = 0.0000; sqrt_corr_matrix[2][1] = 0.0000; sqrt_corr_matrix[2][2] = 1.0000; sqrt_corr_matrix[2][3] = 0.0000; sqrt_corr_matrix[2][4] = 0.0000;
sqrt_corr_matrix[3][0] = -0.2384; sqrt_corr_matrix[3][1] = 0.3001; sqrt_corr_matrix[3][2] = 0.0000; sqrt_corr_matrix[3][3] = 0.9237; sqrt_corr_matrix[3][4] = 0.0000;
sqrt_corr_matrix[4][0] = 0.0000; sqrt_corr_matrix[4][1] = 0.0000; sqrt_corr_matrix[4][2] = 0.0000; sqrt_corr_matrix[4][3] = 0.0000; sqrt_corr_matrix[4][4] = 1.0000;
}
}
else if (scenario == SUBURBAN_MACRO)
{
if ( los[self_idx][sec_idx] == true )
{
sqrt_corr_matrix[0][0] = 0.8540; sqrt_corr_matrix[0][1] = -0.0407; sqrt_corr_matrix[0][2] = 0.4238; sqrt_corr_matrix[0][3] = -0.2989; sqrt_corr_matrix[0][4] = 0.0000;
sqrt_corr_matrix[1][0] = -0.0407; sqrt_corr_matrix[1][1] = 0.9588; sqrt_corr_matrix[1][2] = -0.0234; sqrt_corr_matrix[1][3] = -0.2803; sqrt_corr_matrix[1][4] = 0.0000;
sqrt_corr_matrix[2][0] = 0.4238; sqrt_corr_matrix[2][1] = -0.0234; sqrt_corr_matrix[2][2] = 0.8795; sqrt_corr_matrix[2][3] = -0.2151; sqrt_corr_matrix[2][4] = 0.0000;
sqrt_corr_matrix[3][0] = -0.2989; sqrt_corr_matrix[3][1] = -0.2803; sqrt_corr_matrix[3][2] = -0.2151; sqrt_corr_matrix[3][3] = 0.8865; sqrt_corr_matrix[3][4] = 0.0000;
sqrt_corr_matrix[4][0] = 0.0000; sqrt_corr_matrix[4][1] = 0.0000; sqrt_corr_matrix[4][2] = 0.0000; sqrt_corr_matrix[4][3] = 0.0000; sqrt_corr_matrix[4][4] = 1.0000;
}
else
{
sqrt_corr_matrix[0][0] = 0.8889; sqrt_corr_matrix[0][1] = -0.0287; sqrt_corr_matrix[0][2] = 0.3941; sqrt_corr_matrix[0][3] = -0.2318; sqrt_corr_matrix[0][4] = 0.0000;
sqrt_corr_matrix[1][0] = -0.0287; sqrt_corr_matrix[1][1] = 0.9769; sqrt_corr_matrix[1][2] = 0.0116; sqrt_corr_matrix[1][3] = -0.2116; sqrt_corr_matrix[1][4] = 0.0000;
sqrt_corr_matrix[2][0] = 0.3941; sqrt_corr_matrix[2][1] = 0.0116; sqrt_corr_matrix[2][2] = 0.9176; sqrt_corr_matrix[2][3] = 0.0503; sqrt_corr_matrix[2][4] = 0.0000;
sqrt_corr_matrix[3][0] = -0.2318; sqrt_corr_matrix[3][1] = -0.2116; sqrt_corr_matrix[3][2] = 0.0503; sqrt_corr_matrix[3][3] = 0.9481; sqrt_corr_matrix[3][4] = 0.0000;
sqrt_corr_matrix[4][0] = 0.0000; sqrt_corr_matrix[4][1] = 0.0000; sqrt_corr_matrix[4][2] = 0.0000; sqrt_corr_matrix[4][3] = 0.0000; sqrt_corr_matrix[4][4] = 1.0000;
}
}
else if (scenario == OUTDOOR_2_INDOOR || indoor[self_idx][sec_idx] == true )
{
sqrt_corr_matrix[0][0] = 0.8970; sqrt_corr_matrix[0][1] = 0.2419; sqrt_corr_matrix[0][2] = 0.2236; sqrt_corr_matrix[0][3] = -0.2949; sqrt_corr_matrix[0][4] = 0.0000;
sqrt_corr_matrix[1][0] = 0.2419; sqrt_corr_matrix[1][1] = 0.9592; sqrt_corr_matrix[1][2] = -0.0307; sqrt_corr_matrix[1][3] = 0.1432; sqrt_corr_matrix[1][4] = 0.0000;
sqrt_corr_matrix[2][0] = 0.2236; sqrt_corr_matrix[2][1] = -0.0307; sqrt_corr_matrix[2][2] = 0.9735; sqrt_corr_matrix[2][3] = 0.0378; sqrt_corr_matrix[2][4] = 0.0000;
sqrt_corr_matrix[3][0] = -0.2949; sqrt_corr_matrix[3][1] = 0.1432; sqrt_corr_matrix[3][2] = 0.0367; sqrt_corr_matrix[3][3] = 0.9440; sqrt_corr_matrix[3][4] = 0.0000;
sqrt_corr_matrix[4][0] = 0.0000; sqrt_corr_matrix[4][1] = 0.0000; sqrt_corr_matrix[4][2] = 0.0000; sqrt_corr_matrix[4][3] = 0.2499; sqrt_corr_matrix[4][4] = 1.0000;
}
else
{
cerr << "Unspeficied scenario" << endl ;
}
}
/*===================================================================
FUNCTION: Set_PathLoss_Parameters()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Set up parameters of Path Loss
NOTES:
===================================================================*/
void Set_PathLoss_Parameters(int self_idx, int sec_idx)
{
if ( scenario == INDOOR_HOTSPOT )
{
h_BS = 6.; h_MS = 1.5;
}
else if ( scenario == URBAN_MACRO )
{
h_BS = 25.; h_MS = 1.5; h = 20.; W = 20.;
break_point_distance = 4. * ( h_BS - 1. ) * ( h_MS - 1. ) * carrier_freq / SPEED_LIGHT;
}
else if ( scenario == URBAN_MICRO && indoor[self_idx][sec_idx] == false )
{
h_BS = 10.; h_MS = 1.5;
break_point_distance = 4. * ( h_BS - 1. ) * ( h_MS - 1. ) * carrier_freq / SPEED_LIGHT;
}
else if ( scenario == RURAL_MACRO )
{
h_BS = 35.; h_MS = 1.5; h = 5.; W = 20.;
break_point_distance = 2. * PI * h_BS * h_MS * carrier_freq / SPEED_LIGHT;
}
else if ( scenario == SUBURBAN_MACRO )
{
h_BS = 35.; h_MS = 1.5; h = 10.; W = 20.;
break_point_distance = 2. * PI * h_BS * h_MS * carrier_freq / SPEED_LIGHT;
}
else if ( scenario == OUTDOOR_2_INDOOR || indoor[self_idx][sec_idx] == true )
{
h_BS = 10.; h_MS = 1.5; W = 20.;
break_point_distance = 4. * ( h_BS - 1. ) * ( h_MS - 1. ) * carrier_freq / SPEED_LIGHT;
}
else
{
cerr << "Unspeficied scenario" << endl ;
}
}
// These parameters come from Table A1-2 in m
/*===================================================================
FUNCTION: Compute_PathLoss()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Compute the Path Loss
NOTES: Output is a path_loss in [dB]
===================================================================*/
void Compute_PathLoss(int self_idx, int sec_idx)
{
if ( los[self_idx][sec_idx] == true )
{
if ( scenario == INDOOR_HOTSPOT )
{
path_loss[sec_idx] = 16.9*log10( ue2sector_distance[self_idx][sec_idx] ) + 32.8 + 20.*log10( carrier_freq / 1000000000. ) ;
}
else if ( scenario == URBAN_MACRO )
{
if ( 10. < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx] < break_point_distance)
{
path_loss[sec_idx] = 22.*log10( ue2sector_distance[self_idx][sec_idx] ) + 28. + 20.*log10( carrier_freq / 1000000000. );
}
else if ( break_point_distance < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx] < 5000.)
{
double d_1 = ue2sector_distance[self_idx][sec_idx] ;
// the distance from the BS to the centre of the perpendicular street in Manhattan grid
path_loss[sec_idx] = 40. * log10( d_1 ) + 7.8 - 18.*log10( h_BS - 1. ) - 18.*log10( h_MS - 1. ) + 2.*log10( carrier_freq / 1000000000. );
}
}
else if ( scenario == URBAN_MICRO && indoor[self_idx][sec_idx] == false )
{
if ( 10. < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx] < break_point_distance)
{
path_loss[sec_idx] = 22.*log10( ue2sector_distance[self_idx][sec_idx] ) + 28. + 20.*log10( carrier_freq / 1000000000. );
}
else if ( break_point_distance < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx] < 5000.)
{
double d_1 = ue2sector_distance[self_idx][sec_idx] ;
// the distance from the BS to the centre of the perpendicular street in Manhattan grid
path_loss[sec_idx] = 40. * log10( d_1 ) + 7.8 - 18.*log10( h_BS - 1. ) - 18.*log10( h_MS - 1. ) + 2.*log10( carrier_freq / 1000000000. );
}
}
else if ( scenario == RURAL_MACRO || scenario == SUBURBAN_MACRO )
{
if ( 10. < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx]< break_point_distance)
{
path_loss[sec_idx] = 20.*log10( 40. * PI * ue2sector_distance[self_idx][sec_idx] * carrier_freq / 1000000000. / 3. )
+ MIN( 0.03 * pow(h,1.72) , 10. ) * log10( ue2sector_distance[self_idx][sec_idx] )
- MIN( 0.044 * pow(h,1.72) , 14.77 )
+ 0.002 * log10(h) * ue2sector_distance[self_idx][sec_idx] ;
}
else if ( break_point_distance < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx]< 10000.)
{
path_loss[sec_idx] = 20.*log10( 40. * PI * break_point_distance * carrier_freq / 1000000000. / 3. )
+ MIN( 0.03 * pow(h,1.72) , 10. ) * log10( break_point_distance )
- MIN( 0.044 * pow(h,1.72) , 14.77 )
+ 0.002 * log10(h) * break_point_distance
+ 40.*log10( ue2sector_distance[self_idx][sec_idx] / break_point_distance ) ;
}
}
else
{
cerr << "Unspeficied scenario" << endl ;
}
}
else
{
if ( scenario == INDOOR_HOTSPOT )
{
path_loss[sec_idx] = 43.3*log10( ue2sector_distance[self_idx][sec_idx] ) + 11.5 + 20.*log10( carrier_freq / 1000000000. ) ;
}
else if ( scenario == URBAN_MICRO && indoor[self_idx][sec_idx] == false )
{
path_loss[sec_idx] = 36.7*log10( ue2sector_distance[self_idx][sec_idx] ) + 22.7 + 26.*log10( carrier_freq / 1000000000. ) ;
}
else if ( scenario == URBAN_MACRO || scenario == RURAL_MACRO || scenario == SUBURBAN_MACRO )
{
path_loss[sec_idx] = 161.04 - 7.1*log10(W) + 7.5*log10(h)
- ( 24.37 - 3.7 * (h/h_BS) * (h/h_BS) ) * log10(h_BS)
+ ( 43.42 - 3.1*log10(h_BS) ) * ( log10( ue2sector_distance[self_idx][sec_idx] ) - 3 )
+ 20.*log10(carrier_freq / 1000000000.)
- ( 3.2 * ( log10( 11.75 * h_MS ) ) * ( log10( 11.75 * h_MS ) ) - 4.97 ) ;
}
else if (scenario == OUTDOOR_2_INDOOR || indoor[self_idx][sec_idx] == true)
{
double d_in = 25. * Rand.u() ;
double PL_b, PL_tw, PL_in ;
if ( los_type == NLOS )
{
PL_b = 36.7*log10( ue2sector_distance[self_idx][sec_idx] ) + 22.7 + 26.*log10( carrier_freq / 1000000000. ) ;
}
else if ( los_type == LOS )
{
if ( 10. < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx] < break_point_distance)
{
PL_b = 22.*log10( ue2sector_distance[self_idx][sec_idx] ) + 28. + 20.*log10( carrier_freq / 1000000000. );
}
else if ( break_point_distance < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx] < 5000.)
{
double d_1 = ue2sector_distance[self_idx][sec_idx] ;
// the distance from the BS to the centre of the perpendicular street in Manhattan grid
PL_b = 40. * log10( d_1 ) + 7.8 - 18.*log10( h_BS - 1. ) - 18.*log10( h_MS - 1. ) + 2.*log10( carrier_freq / 1000000000. );
}
}
else
{
double LOS_prob = MIN( 18./ue2sector_distance[self_idx][sec_idx] , 1. ) * ( 1. - exp( -ue2sector_distance[self_idx][sec_idx]/36. ) )
+ exp( -ue2sector_distance[self_idx][sec_idx]/36. );
if ( Rand.u() < LOS_prob )
{
if ( 10. < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx] < break_point_distance)
{
PL_b = 22.*log10( ue2sector_distance[self_idx][sec_idx] ) + 28. + 20.*log10( carrier_freq / 1000000000. );
}
else if ( break_point_distance < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx] < 5000.)
{
double d_1 = ue2sector_distance[self_idx][sec_idx] ;
// the distance from the BS to the centre of the perpendicular street in Manhattan grid
PL_b = 40. * log10( d_1 ) + 7.8 - 18.*log10( h_BS - 1. ) - 18.*log10( h_MS - 1. ) + 2.*log10( carrier_freq / 1000000000. );
}
}
else
{
PL_b = 36.7*log10( ue2sector_distance[self_idx][sec_idx] ) + 22.7 + 26.*log10( carrier_freq / 1000000000. ) ;
}
}
PL_tw = 20. ;
PL_in = 0.5 * d_in ;
path_loss[sec_idx] = PL_b + PL_tw + PL_in ;
}
else
{
cerr << "Unspeficied scenario" << endl ;
}
}
}
// These equations come from Table A1-2 in dB
/*===================================================================
FUNCTION: Set_Shadowing()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Set up the Shadowing
NOTES: Output is a shadowing [dB]
===================================================================*/
void Set_Shadowing(int self_idx, int sec_idx)
{
if (scenario == INDOOR_HOTSPOT)
{
if ( los[self_idx][sec_idx] == true )
{
shadowing_sigma = 3.;
}
else
{
shadowing_sigma = 4.;
}
}
else if ( scenario == URBAN_MACRO )
{
if ( los[self_idx][sec_idx] == true )
{
shadowing_sigma = 4.;
}
else
{
shadowing_sigma = 6.;
}
}
else if (scenario == URBAN_MICRO && indoor[self_idx][sec_idx] == false)
{
if ( los[self_idx][sec_idx] == true )
{
shadowing_sigma = 3.;
}
else
{
shadowing_sigma = 4.;
}
}
else if (scenario == RURAL_MACRO)
{
if ( los[self_idx][sec_idx] == true )
{
if ( 10. < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx] < break_point_distance)
{
shadowing_sigma = 4.;
}
else if ( break_point_distance < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx] < 5000.)
{
shadowing_sigma = 6.;
}
}
else
{
shadowing_sigma = 8.;
}
}
else if (scenario == SUBURBAN_MACRO)
{
if ( los[self_idx][sec_idx] == true )
{
if ( 10. < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx] < break_point_distance)
{
shadowing_sigma = 4.;
}
else if ( break_point_distance < ue2sector_distance[self_idx][sec_idx]
&& ue2sector_distance[self_idx][sec_idx] < 5000.)
{
shadowing_sigma = 6.;
}
}
else
{
shadowing_sigma = 8.;
}
}
else if (scenario == OUTDOOR_2_INDOOR || indoor[self_idx][sec_idx] == true)
{
shadowing_sigma = 7.;
}
else
{
cerr << "Unspeficied scenario" << endl ;
}
double cross_corr = 0 ;
for( int idx = 0; idx < 5; idx++ )
{
cross_corr = cross_corr + sqrt_corr_matrix[3][idx] * random_number[self_idx][sec_idx][idx] ;
}
shadowing = shadowing_sigma * cross_corr ;
}
// This parameter comes from Table A1-7 in dB
/*===================================================================
FUNCTION: FadingChannelGeneration()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Fading Samples are generated and stored
NOTES: ...
===================================================================*/
void FadingChannelGeneration( int self_idx, int u, int s, int adj_sec_idx )
{
my_sector = ue[self_idx].adj_sector[adj_sec_idx] ;
if( u == 0 && s == 0 )
{
Set_Delay_Parameters(self_idx) ;
Set_AoAAoD_Parameters(self_idx) ;
}
Set_Num_Path(self_idx, adj_sec_idx) ;
Set_Cluster_Delay(self_idx, u, s, adj_sec_idx) ;
Set_Cluster_Power(self_idx, u, s, adj_sec_idx) ;
Scaling_Delay(self_idx, u, s, adj_sec_idx) ;
Generate_AoAAoD(self_idx, u, s, adj_sec_idx) ;
Set_Subclusters(self_idx, u, s, adj_sec_idx) ;
Generate_XPR(self_idx, u, s, adj_sec_idx) ;
SetInitialPhase(self_idx, u, s, adj_sec_idx) ;
}
/*===================================================================
FUNCTION: Set_Delay_Parameters()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Set up parameters of Delay Spread
NOTES:
===================================================================*/
void Set_Delay_Parameters(int self_idx)
{
if (scenario == INDOOR_HOTSPOT)
{
if ( los[self_idx][my_sector] == true )
{
r = 3.6; ds_mu = -7.7; ds_sigma = 0.18;
}
else
{
r = 3.0; ds_mu = -7.41; ds_sigma = 0.14;
}
}
else if ( scenario == URBAN_MACRO )
{
if ( los[self_idx][my_sector] == true )
{
r = 2.5; ds_mu = -7.03; ds_sigma = 0.66;
}
else
{
r = 2.3; ds_mu = -6.44; ds_sigma = 0.39;
}
}
else if (scenario == URBAN_MICRO && indoor[self_idx][my_sector] == false)
{
if ( los[self_idx][my_sector] == true )
{
r = 3.2; ds_mu = -7.19; ds_sigma = 0.4;
}
else
{
r = 3.0; ds_mu = -6.89; ds_sigma = 0.54;
}
}
else if (scenario == RURAL_MACRO)
{
if ( los[self_idx][my_sector] == true )
{
r = 3.8; ds_mu = -7.49; ds_sigma = 0.55;
}
else
{
r = 1.7; ds_mu = -7.43; ds_sigma = 0.48;
}
}
else if (scenario == SUBURBAN_MACRO)
{
if ( los[self_idx][my_sector] == true )
{
r = 2.4; ds_mu = -7.23; ds_sigma = 0.38;
}
else
{
r = 1.5; ds_mu = -7.12; ds_sigma = 0.33;
}
}
else if (scenario == OUTDOOR_2_INDOOR || indoor[self_idx][my_sector] == true)
{
r = 2.2; ds_mu = -6.62; ds_sigma = 0.32;
}
else
{
cerr << "Unspeficied scenario" << endl ;
}
D = 0.7705 - 0.0433*Ricean_K[ self_idx ][ my_sector ] + 0.0002*pow( Ricean_K[ self_idx ][ my_sector ], 2 ) + 0.000017*pow( Ricean_K[ self_idx ][ my_sector ], 3 ) ;
double cross_corr = 0 ;
for( int idx = 0; idx < 5; idx++ )
{
cross_corr = cross_corr + sqrt_corr_matrix[0][idx] * random_number[self_idx][my_sector][idx] ;
}
DS_sigma = pow( 10, ds_mu + ds_sigma * cross_corr ) ;
}
// These parameters come from Table A1-7
/*===================================================================
FUNCTION: Set_AoAAoD_Parameters()
AUTHOR: Kim, Kyung-Won
DESCRIPTION: Set up parameters of Angle Spread
NOTES:
===================================================================*/
void Set_AoAAoD_Parameters(int self_idx)
{
if (scenario == INDOOR_HOTSPOT)
{
if ( los[self_idx][my_sector] == true )
{
AoA_mu = 1.62 ;
AoD_mu = 1.60 ;
AoA_sigma = 0.22 ;
AoD_sigma = 0.18 ;
cluster_ASA = 8.;
cluster_ASD = 5.;
C = 1.434 * ( 0.9275 + 0.0439*Ricean_K[ self_idx ][ my_sector ] - 0.0071*pow( Ricean_K[ self_idx ][ my_sector ], 2 ) + 0.0002*pow( Ricean_K[ self_idx ][ my_sector ], 3 ) ) ;
}
else
{
AoA_mu = 1.77 ;
AoD_mu = 1.62 ;
AoA_sigma = 0.16 ;
AoD_sigma = 0.25 ;
cluster_ASA = 11.;
cluster_ASD = 5.;
C = 1.501 ;
}
}
else if (scenario == URBAN_MACRO)
{
if ( los[self_idx][my_sector] == true )
{
AoA_mu = 1.81 ;
AoD_mu = 1.15 ;
AoA_sigma = 0.2 ;
AoD_sigma = 0.28 ;
cluster_ASA = 11.;
cluster_ASD = 5.;
C = 1.146 * ( 1.1035 - 0.028*Ricean_K[ self_idx ][ my_sector ] - 0.002*pow( Ricean_K[ self_idx ][ my_sector ], 2 ) + 0.0001*pow( Ricean_K[ self_idx ][ my_sector ], 3 ) ) ;
}
else
{
AoA_mu = 1.87 ;
AoD_mu = 1.41 ;
AoA_sigma = 0.11 ;
AoD_sigma = 0.28 ;
cluster_ASA = 15;
cluster_ASD = 2.;
C = 1.289 ;
}
}
else if (scenario == URBAN_MICRO && indoor[self_idx][my_sector] == false)
{
if ( los[self_idx][my_sector] == true )
{
AoA_mu = 1.75 ;
AoD_mu = 1.20 ;
AoA_sigma = 0.19 ;
AoD_sigma = 0.43 ;
cluster_ASA = 17.;
cluster_ASD = 3.;
C = 1.146 * ( 1.1035 - 0.028*Ricean_K[ self_idx ][ my_sector ] - 0.002*pow( Ricean_K[ self_idx ][ my_sector ], 2 ) + 0.0001*pow( Ricean_K[ self_idx ][ my_sector ], 3 ) ) ;
}
else
{
AoA_mu = 1.84 ;
AoD_mu = 1.41 ;
AoA_sigma = 0.15 ;
AoD_sigma = 0.17 ;
cluster_ASA = 22.;
cluster_ASD = 10.;
C = 1.273 ;
}
}
else if (scenario == RURAL_MACRO)
{
if ( los[self_idx][my_sector] == true )
{
AoA_mu = 1.52 ;
AoD_mu = 0.90 ;
AoA_sigma = 0.24 ;
AoD_sigma = 0.38 ;