- K = 3 (i.e., there are three CUEs)
- M = 4 (i.e., the dimension of the transmitted signal is 4)
- d1 = 2, d2 = 3, d3 = 2 (i.e., the dimensions of the received signal for each CUE are 2, 3, and 2, respectively)
- 𝐻_𝑖𝑗 = [1.2 -0.3; 0.7 0.8] for all i ≠ j (i.e., the channel matrix between BS i and CUE j is a 2x2 matrix with specific values)
- 𝑉_𝑖 = [0.9 0.2 0.1 -0.1; -0.5 0.6 0.3 -0.2] for all i (i.e., the matrix representing the transmitted signal from BS i is a 2x4 matrix with specific values)
- 𝑆_𝑖 = [1; 2] for all i (i.e., the downlink data signal vector for each BS is a 2x1 vector with specific values)
- 𝑛_𝑖 ~ N(0, σ^2) for all i (i.e., the noise term for each CUE is a Gaussian random variable with mean 0 and variance σ^2)
numerical example in matlab.
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Please, I need to know numerical values can be given to the variables in this formula so that I can convert them into code.
Can you give me a numerical example please.
= + ∑1_(j=1, j≠i)^K +
where 𝑯_𝒊𝒊 and 𝑯_𝒊𝒋 the channel matrix between 𝑩𝑺𝒊 and 𝑪𝑼𝑬𝒊, CUEj (i, j ∈ {1, 2, . . . , K} , 𝑖≠𝑗.
𝑽𝒊 of dimension 𝑀 × 𝑑𝑖 and 𝑉𝑗 of dimension 𝑀 × 𝑑𝑗 are 𝑩𝑺𝒊 and 𝑩𝑺𝒋 respectively,
si with dimension di × 1 is the downlink data signal vector BSi
𝑛_𝑖 is additive white Gaussian noise.
this is an Inter-cell interference model and is the signal received by user i
0 commentaires
Réponses (1)
Eswaramoorthy
le 28 Fév 2023
Here is a numerical example. Let's say we have the following values:
Then, we can calculate the received signal for each CUE using the formula you provided:
𝑦_𝑖 = 𝐻_𝑖𝑖 𝑉_𝑖 𝑆_𝑖 + ∑_(j=1,j≠i)^K 𝐻_𝑖𝑗 𝑉_𝑗 𝑆_𝑗 + 𝑛_𝑖
For example, if we want to calculate the received signal for CUE 1, we can plug in the values:
𝑦_1 = [1.2 -0.3; 0.7 0.8] [0.9 0.2 0.1 -0.1; -0.5 0.6 0.3 -0.2] [1; 2] + [1.1; -0.3]
This will give us a 2x1 vector representing the received signal for CUE 1. We can repeat this process for CUE 2 and CUE 3 to get the received signals for all CUEs.
0 commentaires
Voir également
Catégories
En savoir plus sur Data Import and Analysis dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!