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 | ||||||||||||
| PL1=Alog10d+B+Clog10fc5 |
A=26, B=39, C=20 | σSF=4 |
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| PL2 |
| σSF=6 |
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| NLOSPLC2-NLOS= |
| σSF=8 | hBS=25 | ||||||||||||
Suburban Macro (C1) | LOS | PLC1-LOS= PL1, 30 m≤d≤dBPPL2, dBP≤d≤5 km , (see Note 2) |
| hBS=25 | ||||||||||||
| PL1=Alog10d+B+Clog10fc5 |
A=23.8, B=41.2, C=20 | σSF=4 |
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| PL2 |
| σSF=6 |
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| NLOSPLC1-NLOS= |
| σSF=8 | hBS=25 | ||||||||||||
Rural Maro (D1) | LOS | PLD1-LOS= PL1, 10 m≤d≤dBPPL2, dBP≤d≤10 km , (see Note 2) |
| hBS=32 | ||||||||||||
| PL1=Alog10d+B+Clog10fc5 |
A=21.5, B=44.2, C=20 | σSF=4 |
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| PL2 |
| σSF=6 |
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| NLOSPLD1-NLOS |
| σSF=8 | hBS=32 |
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Scenario | LOS probability | ||||||||||||||||||||||||
C2 PLOS=min18d, 1⋅1-exp-d63+exp-d63 P_{LOS}=\min{ |
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C1 | PLOS=exp-d200 | ||||||||||||||||||||||||
D1 | PLOS=exp-d1000 |
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D1 |
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Note: System level simulations require estimates of the probability of 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
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case
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the
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LOS
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probability
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is
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used,
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the
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path
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loss
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is
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computed
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as
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follows:
for a given Tx-Rx distance d:
- compute probability of LoS:
Mathinline body --uriencoded--P_%7BLOS%7D - draw a sample value from uniform distribution
Mathinline body u\ =\ U(0,1) - if
the path is LoS:Mathinline body --uriencoded--u\ <\ P_%7BLOS%7D
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- else the path is NLoS:
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where path losses in the LOS and NLOS conditions (
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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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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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