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

WINNER D5.4 v. 1.4
9.3.2.3 Probability of LOS
In measurement data of this scenario we have probability of LOS equal to100% since the measurements
were done on the highway without the traffic.
NLOS could happen if there is a big truck in front of the car (Tx). Highways always have at least 2 lines -
cars are faster than trucks so there is very low probability that car is in the shadow of the truck. Also by
law the distance between cars on highways should be approximately 30 m and therefore a car shouldn’t
make a shadow to a car behind it if the Rx antenna is put high enough.
Having this in mind probability of LOS is very high and it is lower at the higher distances. Therefore for
this scenario we propose:
P LOS
= 1 − d *0.0004,0 < d < 250m
, (9.2)
where d is in meters. This function is presented in the figure below.
1
Probability of LOS
0.8
0.6
0.4
0.2
0
50 100 150 200 250
distance [m]
Figure 9.10: Probability of LOS.
9.3.2.4 DS and maximum excess-delay distribution
The 10, 50 and 90 % values for the Cumulative Distribution Functions of the distribution of the RMSdelay
spread and maximum excess delays are given below for the 5.2 GHz centre-frequency and LOS
propagation conditions for this scenario.
CDF
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
0 10 20 30 40 50
RMS delay spread [ns]
CDF
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
0 50 100 150 200 250
Max excess delay [ns]
Figure 9.11: RMS delay spread, LOS
Figure 9.12: Maximum excess delay, LOS
Table 9.4: Percentiles RMS delay spread.
Rms delay spread (ns)
LOS
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