Final report on link level and system level channel models - Winner
Final report on link level and system level channel models - Winner
Final report on link level and system level channel models - Winner
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WINNER D5.4 v. 1.4<br />
3.2.C<br />
Ricean with the corresp<strong>on</strong>ding K factor.<br />
Narrowb<strong>and</strong> phase angle distributi<strong>on</strong> of<br />
<strong>channel</strong> coefficients. Sum the <strong>channel</strong><br />
taps over delay domain for each time<br />
instant <strong>and</strong> each element of the MIMO<br />
matrix. The distributi<strong>on</strong> of the phase of<br />
each MIMO matrix element should be<br />
approximately uniform over (0,2*pi].<br />
Uniform pdf over<br />
(0,2*pi]<br />
7.1.3.3 Stochastic behaviour of the large-scale parameters<br />
Test id Test descripti<strong>on</strong> Expected outcome Notes<br />
3.3.A<br />
3.3.B<br />
3.3.C<br />
Bulk parameter statistics. Repeat all<br />
the results in Appendix 4.<br />
Path-loss <strong>models</strong> for all the scenarios<br />
except B1 NLOS. Repeat results in<br />
[D5.3, Sec. 2.3.1.13]. Calculate pathloss<br />
exp<strong>on</strong>ent <strong>and</strong> intercept <strong>and</strong><br />
compare to given values.<br />
Path-loss model for B1 NLOS. Fit a<br />
plane to resulting<br />
triplets.<br />
( log10<br />
d<br />
1,log10<br />
d<br />
2,<br />
PL)<br />
Compare the coefficients of plane<br />
equati<strong>on</strong> to values based <strong>on</strong> [D5.3, eq.<br />
2.6].<br />
The obtained results<br />
are very close to the<br />
‘input’ values.<br />
The obtained results<br />
are very close to<br />
[D5.3, sec. 2.3.1.13].<br />
Coefficients should<br />
be close to:<br />
a = 20.1<br />
b = 35.97<br />
c = 9.55<br />
Testing of mu, epsil<strong>on</strong>, <strong>and</strong> r<br />
values may be easier to do<br />
“within” the code (after step<br />
3) than from the output<br />
AoDs/AoAs. Note that, for<br />
example,<br />
E[log10(sigma_AS)]=mu_AS<br />
<strong>and</strong> STD(log10(sigma_AS))<br />
= epsil<strong>on</strong>_AS.<br />
The general equati<strong>on</strong> of<br />
plane:<br />
z = a*x + b*y + c<br />
7.1.3.4 Stochastic behaviour of CDL <strong>models</strong> output<br />
Test id Test descripti<strong>on</strong> Expected outcome Notes<br />
3.4.A<br />
3.4.B<br />
Estimate power delay profile from output<br />
<strong>channel</strong> matrices. Compare it to the <strong>on</strong>es<br />
given in [D5.3, Tables 4.7-16].<br />
Estimate amplitude probability density<br />
functi<strong>on</strong>s for <strong>models</strong>/clusters with LOS<br />
comp<strong>on</strong>ent. Compare distributi<strong>on</strong>s to<br />
Ricean distributi<strong>on</strong>s with desired K-<br />
factor.<br />
Resulting PDPs should<br />
match to <strong>on</strong>es given in<br />
[D5.3, Tables 4.7-16].<br />
Estimated PDFs<br />
should match<br />
theoretical <strong>on</strong>es.<br />
CDL <strong>models</strong> are<br />
selected by setting<br />
fixed PDP <strong>and</strong> Angles<br />
<strong>on</strong>.<br />
Theoretical PDFs must<br />
be generated by the<br />
test pers<strong>on</strong>.<br />
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