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

WINNER D5.4 v. 1.4
values ß as a function of the MS-antenna pointing angle a, the mean of this curve, and curves indicating
the range of plus minus one standard deviation. In addition, a sinusoid curve has been fitted. The results
show that there is a very small tendency of the effect indicated by Figure 9.4.
Figure 9.5: Main DoA offset at base-station as a
function of mobile-station pointing angle at
Kårhuset.
Figure 9.6: Main DoA offset at base-station as a
function of mobile-station pointing angle
Kårhuset.
A related measure is the probability that the MS antenna pointing most directly towards the base-station
has the smallest DoA offset when received at the base-station. This probability is found to be around
20%. These two statistics indicate that the very long-term DoD and DoA distributions may be modeled as
independent. This should not be confused with the Kronecker model being valid as it operates on a
shorter term. The correlation of the DoA offset between antennas is found to be 0-50%.
The angle-spread at the base-station was also investigated as a function of mobile station antenna pointing
angle and found independent. The probability that the antenna pointing mostly towards the base station
should have the smallest angle-spread was found to be 28% at Kårhuset and 41% at Vanadis. In the
Vanadis case this is a significant result. This is somewhat surprising in the light of the small (or
practically non-existing) average spread versus MS pointing angle dependence. Therefore this
dependence is also not worthwhile modelling. The correlation of angle-spreads among the MS antennas if
found to be 26-55% at Kårhuset and 50-70% at Vanadis.
9.3.2 Scenario “high mobility short range hot spot”
9.3.2.1 Path-loss and shadow fading
In Figure 9.7 path loss for this scenario is presented.
-70
-75
-80
PL [dB]
-85
-90
-95
-100
-105
-110
10 1 10 2
d [m]
Figure 9.7: Path loss under LOS (as example one curve out of 8 measurement runs).
The table below highlights the PL exponents, offset K and the variance (shadow fading) within this
scenario.
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