WINNER II pdf - Final Report - Cept
WINNER II pdf - Final Report - Cept
WINNER II pdf - Final Report - Cept
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<strong>WINNER</strong> <strong>II</strong> D1.1.2 V1.2<br />
5.6 Approximation of Channel Models<br />
<strong>WINNER</strong> Generic model is aimed to be applicable for many different simulations and to cover high<br />
number of scenarios with several combinations of large-scale and small-scale parameters. Generic<br />
model is the most accurate model and is recommended to be used whenever possible. However, in<br />
some simulations, channel model can be simplified (approximated) to reduce the simulation<br />
complexity. It has to be done very carefully. When approximating the model, reality is reduced, and<br />
the impact of the approximation has to be understood. The impact of the approximation depends on,<br />
e.g., the transceiver system, algorithms, modulation, coding, multi-antenna technology, and required<br />
accuracy of the simulation results. If someone is uncertain whether approximation affects on the<br />
simulation results or not, it is better not to approximate. Therefore, the following approximation steps<br />
can only be done by the simulation experts.<br />
Firstly, we can approximate the model by assuming all the large scale parameters fixed to median<br />
values. Furthermore, we can reduce the model by fixing the delays, but keep angles as random. The<br />
third approximation can be done by freezing all propagation parameters to obtain so called Clustered<br />
Delay Line (CDL) model. If, from a good reason, correlation model is desired, we can calculate<br />
correlation matrices from the CDL model by fixing the antenna structure. Kronecker approach can<br />
simplify the model even further, and finally, independent channels make the model very simple, but at<br />
the same time very inaccurate. The approximation steps are shown below.<br />
A) <strong>WINNER</strong> <strong>II</strong> Generic Model (D1.1.2)<br />
B) Fixed large scale parameters<br />
C) Constant delays, random angles (“CDL with random angles”)<br />
D) <strong>WINNER</strong> <strong>II</strong> CDL Model (D1.1.2)<br />
E) Tapped Delay Line model (delays are taken from CDL) with MIMO Correlation Matrix<br />
F) Tapped Delay Line model with TX and RX Correlation Matrix, MIMO correlation is<br />
obtained via Kronecker product.<br />
G) Tapped Delay Line model, zero correlation between MIMO channels.<br />
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