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A17.19.1 Description of the model

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Table A19.2: LOS Probability


Scenario

LOS probability

C2

Mathinline
body--uriencoded--P_%7BLOS%7D=\min%7B\left(\frac%7B18%7D%7Bd%7D,\ 1\right)%7D\cdot\left(1-\exp%7B\left(-\frac%7Bd%7D%7B63%7D\right)%7D\right)%7B+%7D\exp%7B\left(-\frac%7Bd%7D%7B63%7D\right)%7D

C1

Mathinline
body--uriencoded--P_%7BLOS%7D=\exp%7B\left(-\frac%7Bd%7D%7B200%7D\right)%7D

D1

Mathinline
body--uriencoded--P_%7BLOS%7D=\exp%7B\left(-\frac%7Bd%7D%7B1000%7D\right)%7D

Note: System level simulations require estimates of the probability of line-of-sight. The LOS probability models are based on relatively limited data sets and/or specific assumptions and approximations regarding the location of obstacles in the direct path, and should therefore not be considered exact.


 In In case the LOS probability is used, the path loss is computed as follows [2]::

for a given Tx-Rx distance d:

  • compute probability of LoS:  
    Mathinline
    body--uriencoded--

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  • P_%7BLOS%7D
  • draw a sample value from uniform distribution 
    Mathinline
    body u\ =\ U(0,1)
  • if 
    Mathinline
    body--uriencoded--u\ <\ P_%7BLOS%7D
     the path is LoS:

Mathinline
body--uriencoded--PL=%7BPL%7D_%7BLOS%7D\ \ \ \ \ \ \ \ (dB)

  • else the path is NLoS:

Mathinline
body--uriencoded--PL=%7BPL%7D_%7BNLOS%7D\ \ \ \ \ \ (dB)

where path losses in the LOS and NLOS conditions (

Mathinline
body--uriencoded--PL_%7BLOS%7D
and
Mathinline
body--uriencoded--PL_%7BNLOS%7D
) and the LOS probability,
Mathinline
body--uriencoded--P_%7BLOS%7D
, for a given scenario are shown in Table A.17.19.1

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and

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Table

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A.17.19.2,

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respectively.

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A17.19.2 Input parameters

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Figure A17.19.1: GUI of the WINNER II path loss model


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Table A.17.19.3: Parameters of the WINNER II path loss model


Description

Symbol

Type

Unit

Comments

Variation

σSF

B

dB

Variation in path loss (applies shadow fading)

Scenario

-

S

-

Urban Macro Cell (C2), Suburban Macro Cell (C1) or Rural Macro Cell (D1)

Line of Sight

-

S

-

Line of Sight (LOS), Non-Line of Sight (NLOS), or LOS Probabilities

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