# Channel model: LOS Component and Rician K-factor

I know that if $$K=0$$ then it is a pure Rayleigh fading, if $$K= \infty$$, then non fading Channel.

What is it, if $$0 ?

If i represet the NLOS component using the Kronecker model and take expected value from $$\mathbf{H}$$, then I get only loscomponent. Will be it right?

• For $0 < K < \infty$, the channel is a combination of both a deterministic component (i.e., LOS) and a fading component. As the $K$-factor is the ratio of the energy in the deterministic Line-of-Sight (LOS) component to the energy in the aggregation of the random scattered paths (i.e., the fading component), higher $K$ means that the channel is more deterministic. As for the 2nd part of your question, I'm not sure to understand what you meant. Commented Feb 28, 2019 at 14:34
• @anpar That is an answer, not a comment! Commented Feb 28, 2019 at 15:26
• OK, let me post that then. Commented Feb 28, 2019 at 15:29

For $$0 < K < \infty$$, the channel is a combination of both a deterministic component (i.e., LOS) and a fading component.

As the $$K$$-factor is the ratio of the energy in the deterministic Line-of-Sight (LOS) component to the energy in the aggregation of the random scattered paths (i.e., the fading component), higher 𝐾 means that the channel is more deterministic.

• thanks. the second question: If i represet the NLOS component using the Kronecker model and take expected value from H, Did i get then only LOS-component?
– nani
Commented Mar 4, 2019 at 7:40

I have a question about Rician channel with L taps. The frequency selective Rician fading channels with delay spread of L = 6 taps are considered for both direct link and reflecting link, where the first tap is set as the deterministic line-of-sight (LoS) component and the remaining taps are non-LoS components following the Rayleigh fading distribution, with η being the ratio of the total power of non-LoS components to that of LoS component. Is this a correct matlab code for the above definition?

h = zeros(L, 1);
h(1) = sqrt(eta/(1 + eta)); % LoS component
h(2:end) = sqrt(1/(2*(1 + eta))) * (randn(L-1, 1) + 1i * randn(L-1, 1)); % Non-LoS components