How can I plot Nakagami-m fading channel?
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How can I plot Nakagami-m fading channel? How to do simulation like Rician and Rayleigh fading channel? Does anyone have a code?
3 Comments
sai shankar
on 3 Nov 2020
clc; clear all; close all;
colors=['r','g','b'] ;
m = 1;
x = [0:0.05:3];
for w = 1:3
for ii = 1:length(x)
y(ii)=((2*m^m)/(gamma(m)*w^m))*x(ii)^(2*m-1)*exp(-((m/w)*x(ii)^2));
end
plot(x,y,colors(w))
hold on
end
xlabel('Support');
ylabel('PDF');
title('probability density function')
hleg1 = legend('w=1','w=2','w=3');
set(hleg1,'Location','NorthEast')
axis([0 3 0 2]);
grid on
Answers (3)
Muntaseer Rahman
on 4 Mar 2020
I also really need the code to simulate the nakagami channel. Can anyone please help?
1 Comment
Fernando Moya
on 30 Mar 2020
Hi Muntaseer, were you able to find the way to simulate Nakagami channel? I need the same
Priyanshu Mishra
on 27 Jan 2020
Hi Mofadal,
For Nakagami-m fading channel I would like you to go through the file exchange provided by the Jamal Ahmad
Ali Raza
on 23 Nov 2021
Hope this reply finds you well. Please see the following link for the generating the different distributions i.e., Nakagami-m, Rayleigh, Rice, etc. https://www.mathworks.com/matlabcentral/fileexchange/7309-randraw
You can use the following code line to draw Nakagami distibution with shape parameter of m and n random numbers;
h=randraw('nakagami', 1, [1,n]); %m=1 case of Rayleigh
3 Comments
ALPER ATES
on 7 May 2022
Edited: ALPER ATES
on 7 May 2022
Could you please tell me how can i get the Rayleigh case by using Nakagami distribution following code 'h=randraw('nakagami', 1, [1,n]); %m=1 case of Rayleigh'.
I know , when m=1; case of Rayleigh but what about scale parameters n ( in other words omega) ?.
Which n value do I need to choose as the scale parameter to obtain Rayleigh case by using following nakagami -m distribution matlab code 'h=randraw('nakagami', 1, [1,n]); %m=1 case of Rayleigh',
Adel Litim
on 25 May 2023
use this command to get help : randraw('nakagami')
you can use this function :
randraw('nakagami', [m, omega], sampleSize)
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