A simulation of Log Normal Shadowing based Path Loss.

lns.cpp

/**
 Program to simlulate Log Normal Shadowing
 Program generates data in "plot.dat" file which can be plottes using gnuplot

*Compile with
    g++ lns.cpp -o lns -std=c++11

*Plot with
    plot "plot.dat" ;set xlabel "Seperation";set ylabel "Path Loss"

*/

#include<iostream>
#include<fstream>
#include<cmath>
#include<random>

#define N 1000 // desired simulations
#define MAX 20 //maximum distance

using namespace std;

int main( void ){
    float mean = 0.0; //mean for Gaussian Random Variable
    float stdDev = 10.0; // Std. Deviation for Gaussian Random Variable
    float PL; // Path loss
    float PL0; //path loss at d0
    float gamma=2;//path loss exponent
    int i;
    int d0 = 10;//minimum distance
    float xg;
    float randomDistance;//randomly generated distance
    
    
    ofstream file;
    file.open("plot.dat");
    
    default_random_engine generator;
    normal_distribution<float> distribution(mean,stdDev);
    uniform_real_distribution<float> floatDistribution(d0,MAX);
    
    for(i=0;i<N;i++)
    {
        randomDistance = floatDistribution(generator);
        xg = distribution(generator);
        PL = PL0 + 10*gamma*log((randomDistance)/d0) + xg;
        file<< d0+i << "\t\t" << PL<<endl;
    }
    
    file.close();
}