Recent content by Nur Ziadah

Thank you for your explanation. ;)

I have the calculation on secret key rate over the turbulence channel using Python code. The calculation is as below: import numpy as np import math import re import random import cmath #import itertools from math import pi,e,log import time #import xlwt import matplotlib.pyplot as plt from...

I'm calculating key rate (R^Rate-wise) by integrating R(eta) over all possible eta from 0 to 1, with a probability distribution (PDTC) which is a log-normal distribution. The equation of log-normal distribution: The equation of R(eta): Therefore, R^Rate-wise =...

You mean that θl must greater than d2R in order to produce a valid output?

What is the applicable range?

Hello everyone, I have calculated the received power for free space optic (FSO) using the equation: Lsystem (system loss) is set to 8dB. PTotal can be calculated as: where Ntx (number of receiver) = 1 and PTx (transmitted power) =7.78 dBm. LGeo can be calculated as: where d2R (receiver...

That is the good idea. I will start a new thread and asking about the equations.

I will try to ask about the equation from the author of the paper. Hopefully he will response my questions.

Actually, I didn't have any idea.

Yes. I realized it. It is stated that . However, I don't think that they used another equation to calculate pe_mim.

How to write the expression for ##P^{Auth,MIM}_e(t,N)##? Do you have any idea, what is the equation to plot ##P^{Auth,MIM}_e(t,N)##?

I have tried it. However, it shows the same graph that I have been plotted before. I already updated the code and the graph in the question.

I have tried it. However, it shows the same graph that I have been plotted before.

1. Yes. t**2 is the square the t value 2. Yes. z2 = element of y + element of z 3. z line is (1-t**2)N, which is replacing tN in Pe^(aut,normal)

Yes Yes. It is very interesting to play around with python. However, I felt some headache to understand the equation. Thank you for your attention and help for the previous post. Really appreciate it.