Final report on link level and system level channel models - Winner

WINNER D5.4 v. 1.4
7. Test and Verification of the Channel Model and Its Implementation
The goal of channel modelling is to imitate real radio channel with high accuracy but with low
complexity. WINNER channel model parameters are based on measurements conducted during the
project and prior measurement results available on public literature. The ultimate verification of the
model would be to compare the channel model output parameters to measurement results. Practical
comparison should be done between the statistical distributions of the channel parameters. To perform
any verification, we need implementation of the model.
Verification of the WINNER channel model is a twofold task. The first task is to test the implementation,
i.e. to verify that implementation is in line with the model description. WINNER channel model has three
levels: generation of large-scale parameters like second moments of delay and direction distributions,
generation of small scale parameters like delays and mean powers, and generation of matrix coefficient
channel impulse responses for the radio links. Testing of implementation is mostly verifying generation of
large-scale parameters. This work is <strong>report</strong>ed in [WP5TS].
The second task is to compare implementation output to measurement results. Statistical distributions of
channel parameters can be extracted from the output of the implementation. Extraction can be done
applying the same methods as with the measured radio channel. However comparison of output statistics
to measurement results is not feasible because of reduced complexity of the model. The number of
channel multipath components is limited in the model compared to a number that one can observe in the
reality. Even though parameters of the multipath components are drawn from the specific distribution, it
is not possible to compute back the same distribution from a very limited number of samples. Thus
verification of the model against the measurements conducted in real environments is not viable due to
limited number of samples (multipath components per channel segment).
7.1 Test cases
7.1.1 General test cases
All test cases assume reference MIMO antenna configuration B and reference antenna field pattern I,
unless otherwise mentioned.
7.1.1.1 General features
Test id Test description Expected outcome Notes
1.1.A
1.1.B
1.1.C
See that the installation package (zip file)
of the distributed version includes all the
files and that the installation instructions
are intelligible and informative. No vital
or important information is missing.
Give suggestions for improvement.
Installation and compilation of the
optimized ANSI C core function
(scm_core.c) succeeds and is adequately
documented.
Check that MATLAB help texts of all
functions are intelligible and informative.
Functions are wim.m,
generate_bulk_par.m, path-loss.m,
wimparset.m, linkparset.m, antparset.m,
scenpartables.m
All files included,
informative
installation
instructions within the
distribution zip file.
Nothing vital missing.
Installation and/or
compilation is
successful on various
platfoRMS: Linux,
Unix, Windows.
Documentation is
sufficient.
No mistakes or
ambiguities in help
texts.
7.1.2 Input/output parameters
7.1.2.1 Validity and range of basic input and output arguments
Test id Test description Expected outcome Notes
2.1.A
Field names of all input and output
parameters correspond to those in the
Full match between
documentation
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