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

WINNER D5.4 v. 1.4
1
Probability of LOS
0.8
0.6
0.4
0.2
0
20 40 60 80 100
distance [m]
Figure 5.22: Probability of LOS in factory halls, airports, and train stations.
In the measurement campaign conducted at the TUI, measurements of the big lecture hall (conference
hall) were performed. Probability of LOS was 100%. For the NLOS measurements obstructions were
artificially made. The strongest reason not to have LOS would be a person between Tx and Rx. Since the
measurements were performed when the hall was empty, the presence of some persons should be taken
into account. If Rx is placed at the ceiling (or some other appropriate place) LOS will be almost
guarantied. We propose:
⎪
⎧ 1, d < 5m
P LOS
= ⎨ d − 5
1−
,5 m < d < 40 m
⎪⎩ 150
where d is in meters. This function is presented in the figure below.
(5.13)
1
Probability of LOS
0.8
0.6
0.4
0.2
0
5 10 15 20 25 30 35 40
distance [m]
Figure 5.23: Probability of LOS in lecture or conference halls.
5.4.2.3 Scenario D1
Probability of LOS in the D1 scenario is proposed to be modeled with an exponential function
1 d
P(
LOS)
= exp( − )
(5.14)
d
0
d 0
where d is the distance between the BS and the MS and d 0 is a constant defining the steepness of the
exponential decay.
Default value for d 0
is proposed to be 1 km. The reason for proposing this model is the following: It is
very near the model for LOS probability defined in [3GPP SCM] at small distances. In addition it does
not go to zero at the cell boundary, so that it can be used in the system-level modelling of interference.
5.4.3 DS and maximum excess-delay distribution
RMS delay spread is the square root of the second central moment of the PDP normalized to the total
power. Max excess delay is the maximum delay after the first peak in PDP.
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