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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 />

Figure 5.21: Path-loss in rural scenario <strong>on</strong> the route 3.1.<br />

The average corrected path-loss formula for the over-all path loss in the measurements was<br />

PL(d) = 50.4 + 25.8 log 10 (d), s = 8.4 dB (5.9)<br />

The average corrected path-loss formula for the NLOS path loss in the measurements was<br />

PL(d) = 55.8 + 25.1 log 10 (d), s = 6.7 dB (5.10)<br />

where d is the distance <strong>and</strong> s is the st<strong>and</strong>ard deviati<strong>on</strong> of the shadow fading. Correcti<strong>on</strong> means that the<br />

cutting of the high values was estimated <strong>and</strong> compensated.<br />

It should be noted that the definiti<strong>on</strong> of NLOS was performed according to the power difference of 10 dB<br />

from the free-space loss. Another note is that the noise-floor cuts the weakest signals, so that the highest<br />

path losses were cut as well. It can be assumed, however, that the effect of this limiting is relatively small.<br />

The rural NLOS measurement results were obtained from three routes, which means quite a limited set of<br />

measurements. Therefore the model has been compared with literature <strong>and</strong> adjusted appropriately in<br />

Secti<strong>on</strong> 5.6.1.<br />

5.4.2 LOS probability<br />

LOS probability is the probability that the LOS propagati<strong>on</strong> between the transmitter <strong>and</strong> the receiver<br />

exists.<br />

5.4.2.1 Scenario A1<br />

The probability of line-of-sight (LOS) propagati<strong>on</strong> vs. distance is a functi<strong>on</strong> we denote the p LOS functi<strong>on</strong>.<br />

For scenario A1, this characteristic can be derived analytically because the geometry of the scenario is<br />

known exactly.<br />

A simple ad-hoc fit of the derived p LOS functi<strong>on</strong> is given as:<br />

where x = 1 - log 10 (d / 2.5) / log 10 (100 / 2.5).<br />

5.4.2.2 Scenario B3<br />

p LOS (d) = 1 – (1 – x 3 ) 1/3 * (1 – 5 / 50), (5.11)<br />

In [LUI99] measurement results for the big factory hall envir<strong>on</strong>ment are presented. Length, width <strong>and</strong><br />

height are 90, 30 <strong>and</strong> 10 m respectively. BS height was 8 m <strong>and</strong> MS height was 1.5 m. Average<br />

probability of LOS was 0.5. Up to 10 m distance in such a big halls there is almost always LOS (if Rx is<br />

placed right). Therefore, we propose for the big factory halls, airport <strong>and</strong> train stati<strong>on</strong>s:<br />

⎧1,<br />

d < 10m<br />

P LOS<br />

= ⎨<br />

(5.12)<br />

⎩exp(<br />

−(<br />

d −10) / 45)<br />

where d is in meters. The figure below shows this functi<strong>on</strong> of the distance.<br />

Page 73 (167)

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