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A17.19.1 Description of the model

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This

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path

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loss

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model

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was

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developed

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by

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the

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IST-WINNER

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II

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project

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and

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its

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detailed

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description

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can

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be

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found

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in

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[1

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].

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  This

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is

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an

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empirical

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path

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loss

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model

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based

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on

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the

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measurements

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results

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carried

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out

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in

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the

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IST-WINNER

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II

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project,

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as

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well

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as

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results

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from

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the

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literature.

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It

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was

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developed

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for

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link

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and

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system

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level

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simulations

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of

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IMT

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Radio

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Interface

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Technologies

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beyond

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3G

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in

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the

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frequency

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band

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2–6

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GHz.

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 It covers

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wide

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scope

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of

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propagation

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scenarios

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and

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environments,

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including

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Suburban

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macro-cell

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(C1),

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Urban

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macro-cell

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(C2),

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Rural

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macro

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cell

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(D1),

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indoor-to-outdoor,

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outdoor-to-indoor,

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bad

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urban

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micro-cell,

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bad

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urban

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macro-cell,

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feeder

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link

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base

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station

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(BS)

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to

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fixed

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relay

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station

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(FRS),

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and

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moving

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networks

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BS

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to

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mobile

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relay

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station

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(MRS),

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MRS

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to

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mobile

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station

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(MS).

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Note

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that

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only

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outdoor

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scenarios

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C1,

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C2,

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and

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D1

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are

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implemented

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in

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SEAMCAT.

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The

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model

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supports

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LOS

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and

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NLOS

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propagation

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conditions

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as

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well

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as

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the

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LOS

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probabilities.

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This

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model

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includes

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clutter

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loss

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and

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as

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such,

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it

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is

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not

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to

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be

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combined

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with

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the

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clutter

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loss

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model

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of

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Recommendation

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ITU-R

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P.2108-0.


Table A19.1: WINNER II Path Loss Model

Scenario

LOS/NLOS

Path Loss [dB]

Shadow fading std [dB]

Applicability ranges and default values [m]

Urban Macro (C2)

LOS

PLC2-LOS= PL1, 10 m≤d≤dBP'PL2, dBP'≤d≤5 km , (see Note 1)

 

hMS=1.5
hBS=25

 

 PL1=Alog10d+B+Clog10fc5

Mathinline
body--uriencoded--%7BPL%7D_1=A\log_%7B10%7D%7Bd%7D+B+C\log_%7B10%7D%7B\left(\frac%7Bf_c%7D%7B5%7D\right)%7D

A=26, B=39, C=20

σSF=4

 

 

 PL2

Mathinline
body--uriencoded--%7BPL%7D_2=13.47+

40log10d

40\log_%7B10%7D%7Bd%7D-14.

0log10hBS'

0\log_%7B10%7D%7Bh_%7BBS%7D%5e\prime-14.

0log10hMS'+6.0log10fc5

0\log_%7B10%7D%7Bh_%7BMS%7D%5e\prime+%7D%7D6.0\log_%7B10%7D%7B\left(\frac%7Bf_c%7D%7B5%7D\right)%7D

σSF=6

 

 

NLOSPLC2-NLOS=

Mathinline
body--uriencoded--PL_%7BC2-NLOS%7D=\left(44.9-6.

55log10hBSlog10d

55\log_%7B10%7D%7Bh_%7BBS%7D%7D\right)\log_%7B10%7D%7Bd%7D+34.46+5.

83log10hBS+23log10fc5

83\log_%7B10%7D%7Bh_%7BBS%7D%7D+23\log_%7B10%7D%7B\left(\frac%7Bf_c%7D%7B5%7D\right)%7D

σSF=8

hBS=25
hMS=1.5
50≤d≤5000

Suburban Macro (C1)

LOS

PLC1-LOS= PL1, 30 m≤d≤dBPPL2, dBP≤d≤5 km , (see Note 2)

 

hBS=25
hMS=1.5

 

 PL1=Alog10d+B+Clog10fc5

Mathinline
body--uriencoded--%7BPL%7D_1=A\log_%7B10%7D%7Bd%7D+B+C\log_%7B10%7D%7B\left(\frac%7Bf_c%7D%7B5%7D\right)%7D

A=23.8, B=41.2, C=20

σSF=4

 

 

 PL2

Mathinline
body--uriencoded--%7BPL%7D_2=11.65+

40log10d

40\log_%7B10%7D%7Bd%7D-16.

2log10hBS

2\log_%7B10%7D%7Bh_%7BBS%7D-16.

2log10hMS+3.8log10fc5

2\log_%7B10%7D%7Bh_%7BMS%7D+%7D%7D3.8\log_%7B10%7D%7B\left(\frac%7Bf_c%7D%7B5%7D\right)%7D

σSF=6

 

 

NLOSPLC1-NLOS=

Mathinline
body--uriencoded--PL_%7BC1-NLOS%7D=\left(44.9-6.

55log10hBSlog10d

55\log_%7B10%7D%7Bh_%7BBS%7D%7D\right)\log_%7B10%7D%7Bd%7D+31.46+5.

83log10hBS+23log10fc5

83\log_%7B10%7D%7Bh_%7BBS%7D%7D+23\log_%7B10%7D%7B\left(\frac%7Bf_c%7D%7B5%7D\right)%7D

σSF=8

hBS=25
hMS=1.5
50≤d≤5000

Rural Maro (D1)

LOS

PLD1-LOS= PL1, 10 m≤d≤dBPPL2, dBP≤d≤10 km ,

(see Note 2)

 

hBS=32
hMS=1.5

 

 PL1=Alog10d+B+Clog10fc5

Mathinline
body--uriencoded--%7BPL%7D_1=A\log_%7B10%7D%7Bd%7D+B+C\log_%7B10%7D%7B\left(\frac%7Bf_c%7D%7B5%7D\right)%7D

A=21.5, B=44.2, C=20

σSF=4

 

 

 PL2

Mathinline
body--uriencoded--%7BPL%7D_2=10.5+

40log10d

40\log_%7B10%7D%7Bd%7D-18.

5log10hBS

5\log_%7B10%7D%7Bh_%7BBS%7D-18.

5log10hMS+1.5log10fc5

5\log_%7B10%7D%7Bh_%7BMS%7D+%7D%7D1.5\log_%7B10%7D%7B\left(\frac%7Bf_c%7D%7B5%7D\right)%7D

σSF=6

 

 

NLOSPLD1-NLOS

Mathinline
body--uriencoded--PL_%7BD1-NLOS%7D=25.

1log10d

1\log_%7B10%7D%7Bd%7D+55.4-0.

13hBS-25log10d100

13\left(h_%7BBS%7D-25\right)\log_%7B10%7D%7B\left(\frac%7Bd%7D%7B100%7D\right)%7D-0.9(

hMS

h_%7BMS%7D-1.5)+21.

3log10fc5

3\log_%7B10%7D%7B\left(\frac%7Bf_c%7D%7B5%7D\right)%7D

σSF=8

hBS=32
hMS=1.5
50≤d≤5000

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Anchor
_Ref529442393
_Ref529442393
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

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Note:

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System

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level

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simulations

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require

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estimates

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of

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the

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probability

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of

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line-of-sight.

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The

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LOS

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probability

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models

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are

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based

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on

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relatively

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limited

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data

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sets

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and/or

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specific

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assumptions

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and

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approximations

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regarding

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the

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location

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of

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obstacles

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in

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the

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direct

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path,

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and

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should

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therefore

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not

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be

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considered

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exact.

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

Mathinline
body--uriencoded--PL_%7BProb%7D\left[dB\right]=P_%7BLOS%7D\cdot PL_%7BLOS%7D\left[dB\right]+\left(1-P_%7BLOS%7D\right)\cdot PL_%7BNLOS%7D[dB]

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Anchor
_Ref507762590
_Ref507762590
Figure A17.19.1: GUI of the WINNER II path loss model


Anchor
_Ref507762636
_Ref507762636
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

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S

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

Line of Sight

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S

-

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

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