Path Loss Models

This notebook illustrates some path loss models.

Initializations

First we set the Python path and import some libraries.



In [1]:

    
%matplotlib inline

import numpy as np
from matplotlib import pyplot as plt

Now we import some pyphysim stuff



In [2]:

    
from pyphysim.channels import pathloss

Path Loss Classes Representation in IPython



In [3]:

    
pl_general = pathloss.PathLossGeneral(n=3.7, C=120)
pl_general.handle_small_distances_bool = True
pl_general









    Out[3]:





PathLossGeneral (n=3.7, C=120): $PL = 37.0 \log_{10} (d) + 120$



In [4]:

    
pl_3gpp = pathloss.PathLoss3GPP1()
pl_3gpp.handle_small_distances_bool = True
pl_3gpp









    Out[4]:





PathLoss3GPP1: $PL = 37.599999999999994 \log_{10} (d) + 128.1$



In [5]:

    
pl_fs = pathloss.PathLossFreeSpace()
pl_fs.n = 2
pl_fs.fc = 900
pl_fs.handle_small_distances_bool = True
pl_fs









    Out[5]:





PathLossFreeSpace (n=2, fc=900): $PL = 20 \log_{10} (d) + 91.5266223748352$



In [6]:

    
d = np.linspace(0.01, 0.5, 100)
fig, ax = plt.subplots()
pl_general.plot_deterministic_path_loss_in_dB(d,
                                              ax,
                                              extra_args={'label': 'General'})
pl_fs.plot_deterministic_path_loss_in_dB(d,
                                         ax,
                                         extra_args={'label': 'Free Space'})
pl_3gpp.plot_deterministic_path_loss_in_dB(d, ax, extra_args={'label': '3GPP'})
ax.grid()
ax.set_ylabel('Path Loss (in dB)')
ax.set_xlabel('Distance (in Km)')
ax.legend(loc=5)
plt.show()