How to simulate the outage probability of user data rate versus signal to noise ratio?

Question

Ahmed Nasr 2020-3-31

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/514193-how-to-simulate-the-outage-probability-of-user-data-rate-versus-signal-to-noise-ratio

回答： Rik 2020-4-1

I have 4 users, and I want to simulate the outage probability which is the probability of the user data rate is less than the predefined threshold value i.e.

if the threshold rate per user is

= 0.512.

After changing the signal to noise ratio SNR from -20 dB to 30 dB, I obtain the rate matrix with dimensions (number of users × the length of SNR vector), where each element in this matrix represents the rate of certain user at specific SNR value as follows:

SNR_vector_dB=-20:10:30; %the SNR vector
R_th = 0.512; % the user data rate threshold value 
% Rate matrix with dimensions (number of users =4 * the length of SNR vector=6)
R = [0.0021    0.0191    0.1466    0.7368    1.5617    1.9838; ...
0.0021    0.0191    0.1466    0.7368    1.5617    1.9838; ...
0.0041    0.0370    0.3190    0.9267    1.6591    2.1856; ...
0.0041    0.0370    0.3190    0.9267    1.6591    2.1856];

Can anyone help me in simulating the outage probability versus SNR?

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Rik 2020-4-1

在 MATLAB Online 中打开

I'm not sure what the goal is exactly. It looks like you need to do something like this:

Pout=mean(R<R_th,1);

Ahmed Nasr 2020-4-1

Yes

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Answer 1

Rik 2020-4-1

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/514193-how-to-simulate-the-outage-probability-of-user-data-rate-versus-signal-to-noise-ratio#answer_423261

在 MATLAB Online 中打开

Since that apparently was the solution, I'll post it as an answer:

SNR_vector_dB=-20:10:30; %the SNR vector
R_th = 0.512; % the user data rate threshold value 
% Rate matrix with dimensions (number of users =4 * the length of SNR vector=6)
R = [0.0021    0.0191    0.1466    0.7368    1.5617    1.9838; ...
0.0021    0.0191    0.1466    0.7368    1.5617    1.9838; ...
0.0041    0.0370    0.3190    0.9267    1.6591    2.1856; ...
0.0041    0.0370    0.3190    0.9267    1.6591    2.1856];
Pout=mean(R<R_th,1);
plot(SNR_vector_dB,Pout)
ylabel('estimated outage probability')
xlabel('SNR (dB)')