ix. modeling propagation in residential...
TRANSCRIPT
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 1
IX. Modeling Propagation inResidential Areas
•Characteristics of City Construction
•Propagation Over Rows of Buildings Outside the Core
•Macrocell Model for High Base Station Antennas
•Microcell Model for Low Base Station Antennas
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 2
Characteristics of City Construction
• High rise core surrounded by large areas of lowbuildings
• Street grid organizes the buildings into rows
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©2002 by H.L. Bertoni 3
High Core & Low Buildings in New York
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High Core & Low Buildings in Chicago, IL
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©2002 by H.L. Bertoni 5
Rows of Houses in Levittown, LI - 1951
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Rows of Houses in Boca Raton, FL - 1980’s
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Rows in Highlands Ranch, CO - 1999
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The EM City - Ashington, England
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Rows of Houses in Queens, NY
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Rectangular Street Geometry in Los Angeles, CA
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Uniform Height Roofs in Copenhagen
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©2002 by H.L. Bertoni 12
Predicting Signal Characteristic for DifferentBuilding Environments
• Small area average signal strength– Low building environment: Replace rows of buildings by
long, uniform radio absorbers
– High rise environment: Site specific predictions accountingfor the shape and location of individual buildings
• Time delay and angle of arrival statistics– Site specific predictions using statistical distribution of
building shapes and locations
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 13
Summary of Characteristics of the UrbanEnvironment
• High rise core surrounded by large area having low buildings
• Outside of core, buildings are of more nearly equal height withoccasional high rise building– Near core; 4 - 6 story buildings, farther out; 1 - 4 story buildings
• Street grid organizes building into rows– Side-to-side spacing is small
– Front-to-front and back-to-back spacing are nearly equal (~50 m)
• Taylor prediction methods to environment, channel characteristic– Small area average power among low buildings found from simplified
geometry
– High rise environments and higher order channel statistics needs raytracing
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 14
Propagation Past Rows of LowBuildings of Uniform Height
• Propagation takes place over rooftops
• Separation of path loss into three factors
• Free space loss to rooftops near mobile
• Reduction of the rooftop fields due to diffraction past previous rows
• Diffraction of rooftop fields down to street level
• Find the reduction in the rooftop fields using:– Incident Plane wave for high base station antennas
– Incident cylindrical wave for low base station antennas
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 15
Three Factors Give Path Gain for PropagationOver Buildings
Path Gain
Free space path gain
Reduction in the field at the roof top just before the mobile due to
propagation past previous rows of buildings given by a factor
Diffraction of the roof top field down to the mobile (add ray power
to get the small area average)
PG PG PG PG
PGR
Q
PG Q
PGk k
= ( )( )( )
=
=
= −−
+ −
−
0 1 2
0
2
12
21 1 1
2 2
2 2 2
2
4
12
1 12 2
1 12
λπ
π ρ θ π θ π ρ θ π θ
Γ
αθ
dR
y
HBhS
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 16
Roof Top Fields Diffract Down to Mobile(First proposed by Ikegami)
hB
Because θ2 ∼ θ1/3 and |Γ|2 ~ 0.1,rays and have nearly equalamplitudes. Adding power isapproximately the same asdoubling the power of .
PGk k
H h H hH h y
PGH h
B m B mB m
B m
2
2
2 2 2
1 2 2
2 2 2
1 1 12
12
2
≈ −−
≈ =
=−
≈
−= −( ) +
=−
−
π ρ θ π θ π ρθλ
π ρθ
θρ ρ
ρ
λρπ
where
and sin
( )
θ
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 17
Comparison of Theory for Mobile AntennaHeight Gain with Measurements
Median value of measurements made at many locations for 200MHz signalsin Reading, England, whose nearly uniform height <HB>=12.5 m.
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 18
Summary of Propagation Over Low Buildings
• A heuristic argument has been made for separatingthe path gain into three factors– Free space path gain to the building before the mobile
– Reduction Q of the roof top fields due to diffractionpast previous rows of buildings
– Diffraction of the rooftop fields down to the mobile
• Diffraction of the rooftop gives the observedheight gain for the mobile antenna.
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 19
Computing Q for High Base Station Antennas
• Approximating the rows of buildings by a series ofdiffracting screens
• Finding the reduction factor using an incidentplane wave
• Settling behavior of the plane wave solution andits interpretation in terms of Fresnel zones
• Comparison with measurements
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 20
Approximations for Computing QEffect of previous rows on the field at top of last row of building before mobile
• External and internal walls of buildings reflect and scatter incident waves -waves propagate over the tops of buildings not through the buildings.
• Gaps between buildings are usually not aligned with path from base stationto mobile - replace individual buildings by connected row of of buildings.
• Variations in building height effect the shadow loss, but not the rangedependence - take all buildings to be the same height.
• Forward diffraction through small angles is approximately independent ofobject cross section - replace rows of buildings by absorbing screens.
• For high base station antenna and distances greater than 1 km, the effect ofthe buildings on spherical wave field is the same as for a plane wave - Q(α)found for incident plane wave.
• For short ranges and low antennas, the effect of buildings on spherical wavefield is the same as for a cylindrical wave - find QM for line source.
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 21
Method of Solution
• Physical Optical Approximations– Walfisch and Bertoni - IEEE/AP, 1988
Repeated numerical integration, Incident plane wave for α > 0.– Xia & Bertoni - IEEE/AP, 1992
Series expansion in Borsma functions, screens of uniform height, spacing.– Vogler - Radio Science, 1982
Long computation time limits method to 8 screens
– Saunders & Bonar - Elect. Letters, 1991
Modified Vogler Method
• Parabolic Method– Levy, Elect. Letters, 1992
• Ray Optics Approximations– Anderson - IEE- µwave, Ant., Prop., 1994; Slope Diffraction– Neve & Rowe - IEE µwave, Ant., Prop., 1994; UTD
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 22
Plane Wave Solution for High BaseStation Antennas
–Reduction of rooftop fields for a spherical wave incidenton the rows of buildings is the is the same as the reduction for an incident plane wave after many rows.
–Reduction is found from multiple forward diffractionpast an array of absorbing screens for a plane wave withunit amplitude that is incident at glancing the angle α.
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 23
Physical Optics Approximations for Reductionof the Rooftop Fields
I. Replace rows of buildings by parallel absorbing screens
II. For parallel screens, the reduction factor is found by repeated application of the Kirchhoff integral. Going from screen n to screen n+1, the integration is
H x y H x yjke
rdy dzn n n n n n
jkr
n
h
n
n
( , ) cos cos ( , )+ +
−∞
−∞
∞
= +( )∫∫1 1 4α δ
π
α δnρn
yn
x
n=1 n=2 n=3 n n+1
EH
Incidentwave
yn+1
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 24
Paraxial Approximation for RepeatedKirchhoff Integration
For small angles and , cos 2. Let
Then for integration over , +z
2 so that
(cos
n n n
nn2
n
n-
α δ α δ ρ
ρ ρρ
α δπ πρ
ρ
+ ≈ = −( ) + −( )
= + ≈
+ ≈
+ +
−
∞
∞ −
∫
cos
cos ) ( , ) ( , ) exp(
n n n n n n
n n n
n n n
jkr
n
jk
nn n
x x y y
z r z
H x yjke
rdz
jkeH x y
n
1
2
1
2
2 2
4 2−−
≈
=
−∞
∞
−−
+ +
∞ −
∫
∫
jkz dz
jkeH x y e
k
H x ye
H x ye
dy
n n n
jk
nn n
j n
n n
j
n nh
jk
n
n
n
n
n
2
4
1 1
4
2
22
ρ
πρπρ
λ ρ
ρπ
π ρ
)
( , )
( , ) ( , )
/
/
Thus
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 25
Paraxial Approximation forRepeated Kirchhoff Integration - cont.
For uniform building height and uniform row spacing
so that
and
h x x d
d y y dy y
d
H x ye e
dH x y jk y y d dy
H x y
n n n
n n nn n
n n
j jkd
n nh
n n n
N
n
= − =
= + −( ) ≈ +−
= − −[ ]
+
++
+ +
− ∞
+
+
∫
0
2
2
1
21
2 12
1 1
4
12
1
,
( )
( , ) ( , )exp ( ) /
( ,
/
ρ
λ
π
NN
j N jkNd
N N n nn
N
n n nj
n
N N
e e
ddy dy H d y j
k
dy y
v yjk
ddy e
ddv
H x y
+
− ∞ ∞
+=
−
+ +
= ••• − −( )
= =
∫ ∫ ∑1
4
2 10 0
1 1
2
1
4
1 1
2
2
)( )
( , )exp
;
( , )
/
/
π
π
λ
λπ
Let
then
== ••• − −( )
− ∞ ∞
+=
∫ ∫ ∑edv dv H d y v v
jkNd
N N n nn
N
π / ( , )exp2 10 0
1 1
2
1
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 26
Rooftop Field for Incident Plane Wave
H d y e e e e
H d y e e eq
jky
gd
yjk
d
H d y e e eq
g j
jkd jky jkd jky
jkd jky jkd q
q
p
jkd jky jkdp
( , )
( , )!( sin )
sin
( , )!
cos sin sin
sin
sin
1
1 10
1 1
1
1 1
1
1
1
2
12
= ≈
= =
= =
= = ( )
− −
− −
=
∞
− −
∑
α α α
α
α
α
αλ
ν
π
Use Taylor series expansion
Define and since , then
qqq
q
N N
N
jk N d
N N p
qn n n
n
N
n
y
H xe
d dq
g j
ν
ν
πν ν π ν ν ν ν ν
10
1 1
1
1
2 10 0
10
12
12
2
0 0
01
2 2 2
=
∞
+ +
+
− + ∞ ∞
=
∞
+=
∑
∫ ∫ ∑ ∑
= =( )
= ••• ( )
− + −
Then the field at is
( , )!
exp( )
/==
−
+− +
=
∞
∑
∑
= ( )
1
1
11
0
01
2 1
1
N
Njk N d
p
q
N qq
N q
H x eq
g j I
I
( , )!
( ),
( )
( ),
,
π
where is a Borsma function defined in the next slide.
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 27
I d d d
q
IN q
NI
N q N Nq
n nn
N
nn
N
N q N q
, /
, ,
exp
( )( )
11
2 2
2
12 1
2 1 200 0
1 12
11
12
2
1 2
( ) = ••• − + −
≥
( ) =−
+
∞∞ ∞
+=
−
=
− −
∫∫ ∫ ∑ ∑π
ν ν ν ν ν ν ν ν
β β
Recursion relation for
ββπ
β
π
ββ
( ) ++
( )−
==
>
= =−
−
−
= −
−
=
−
∑
∑
1
2 1
11 0
0 0
11 2
11
2
1 2
1 2
1
1
1
1
0
0 10
1
( )
( )
( )( / )
!; ( )
( / )
!
( / )
,
,
, ,
N
I
N n
I q
q
IN
In N n
n q
n
N
q
NN
Nn
n
N
n
where
for
for
The term represents Pockhammer's Symbol for a ==
= = = + + −
1/2, where
( ) ; ( ) ; ( ) ( ) ( )a a a a a a a nn0 11 1 1L
Borsma Functions for β = 1
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©2002 by H.L. Bertoni 28
Field Incident on the N + 1 Edge for α = 0
1 3 N+12
E in
H in
x
y
Since
Amplitude decrease monotonically with
gd
H x e I
eN
eN
N
p
Njk N d
N
jk N d N
jk N d
= =
=
=
≈+
+− +
− +
− +
sin
( , ) ( )
( / )!
( ),
( )
( )
αλ
π
0
0 1
1 2
1
1
11
0
1
1
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©2002 by H.L. Bertoni 29
Field Incident on the N + 1 Edge for α ≠ 0
After initial variation, field settles to a constant value Q(gp) for N > N0
20 1;sin pp gN
dg ==
λα
N0
SettledFieldQ(gp)
Angles indicatedare ford =200λ
α = 2.0ο
α
1 2 …. n n+1
…
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 30
Explanation of the Settling Behavior in Terms of theFresnel Zone About the Ray Reaching the N+1 Edge
Only those edges that penetrate the Fresnel zone affect the field at the N +1 edge
Nd
gp0 2 2
1= =
λα
/
sin
α
d
n=1 n=3 n=5 n=N n=N +1
E1
n=2 n=4
H1
N0
n=N -1
αλ secNd
αtanNdN d N d0 0tan secα λ α=
Fresnel zone half width
W sF = λ
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©2002 by H.L. Bertoni 31
Settled Field Q(gp) and Analytic Approximations
0.01 0.02 0.05 0.1 0.2 0.5 1.00.03
0.05
0.1
0.2
0.5
1.0
1.5
Q
gp
Straight line approximation
for
where
0 015 0 4
010 03
0 9
. g .
Q(g ) .g
.
gd
p
pp
.
p
< <
≈
= sinαλ
Polynomial fit for g
Q(g ) g g g
p
p p p p
≤
= − +
1 0
3 502 3 327 0 9622 3
.
. . .
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©2002 by H.L. Bertoni 32
Path Gain/Loss for High Base Station Antenna
Comparison with measurements made in Philadelphia by AT&T
Q gg
g dh H
R
d
PGR
QH h R
h H
R
d
pp
pBS B
B m
BS B
( ) ≈
= ≈
−
=
( )
−
=
−
0 10 03
4 2 40 01
0 03
0 9
22
2 2
2 1 8
..
, sin /
( ).
.
.
.
α λλ
λπ
λρπ
λπ λ
−
=−( )
−
0 9
2 2
4
1 8 0 9
2
2 1
3 8
2
5 5132
.
. . .
.
( )
.( )
λρπ
πρ λ
H h
h H d
H h R
B m
BS B
B m
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©2002 by H.L. Bertoni 33
Comparison Between Hata Measurement Modeland the Walfisch-Ikegami Theoretical Model
For in MHz and in km
Assume m m
m
f R
L . dH h
h H f R
L f h h R
h H
h d
M k
B mBS B M k
M BS BS k
BS B
M
Theory :
Hata :
= − −−
− − + +
= + − + −
= =
= =
89 5 9 10 18 21 38
69 55 26 16 13 82 44 9 6 55
30 12
1 5 50
2log log( )
log( ) log log
. . log . log ( . . log )log
.
ρ
mm
If Theory dB
Hata dB
Theory :
Hata :
L f R
L f R
f L
R L
M k
M k
M
k
= + +
= + +
= =
= =
57 7 21 38
49 2 26 2 35 2
1 000 147 3
5 152 4
. log log
. . log . log
, ; .
; .
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©2002 by H.L. Bertoni 34
Comparison of Theory for Excess Path Losswith Measurements of Okumura, et al.
Path Loss
Excess Path Loss depeneds on and
only through the angle
= = − ( ) − −
= − = − − −
L R Q PG
L L Q PG R h HBS B
10 4 10 10
10 10
2 22
02
2
log log log
log log
λ π
α
f = 922 MHz
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 35
Walk About From Rooftop to Street Level
f h H
h d d H h
PGh H d
H h R R
BS B
m B m
BS B
B m
= = = =
= = = + − =
=−
−
= ≥ ×
450 2 3 20 7
1 5 50 2 25 6
5 5132
0 2181 6
2 2
4
1 8 0 9
2
2 1
3 8 3 8
MHz m m m
m m m
λ
ρ
πρ λ
/
. ( / ) ( ) .
. ( )( )
..
. . .
. . 1010
1 36 10 4 45 10
14
133 8 3
−
+ +≤ × = ×or mR . ..
R
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 36
Summary of Q for High Base Station Antennas
• Rows of buildings act as a series of diffractingscreens
• Forward diffraction reduces the rooftop field by afactor that approaches a constant past many rows
• The settling behavior can be understood in termsof Fresnel zones, and leads to the reduction factorQ, which depends on a single parameter gp
• Good comparison with measurements is obtainedusing a simple power expansion for Q
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 37
Cylindrical Wave Solution for LowBase Station Antennas
• Finding the reduction factor Q using an incidentcylindrical wave
• Q is shown to depend on parameter gc and thenumber of rows of buildings
• Comparison with measurements
• Mobile-to-mobile communications
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 38
Cylindrical Wave Solutions for Microcells UsingLow Base Station Antennas
Microcell coverage out to about 1 km involves propagationover a limited number of rows.
Must account for the number of rows covered, and hence forthe field variation in the plane perpendicular to the rows ofbuildings.
Therefore use a cylindrical incident wave with axis parallel tothe array of absorbing screens to find the field reduction due topropagation past rows of buildings.
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 39
Physical Optics Approximations for Reductionof the Rooftop Fields
I. Replace rows of buildings by parallel absorbing screens
II. For parallel screens, the reduction factor will apply for a spherical wave and for acylindrical wave. For 2D fields, Kirchhoff integration gives
H x y H x yjke
rdy dz
eH x y
edy
n n n n n n
jkr
n
h
n
j
n n
jk
nn
h
n n
n
n
n
( , ) cos cos ( , )
( , ) cos cos/
+ +
−∞
−∞
∞
−∞
= +( )
≈ + ≈
∫∫
∫
1 1
4
4
2
α δπ
λ ρα δ
π ρ
, since
α δnρn
yn
x
n=1 n=2 n=3 n n+1
EH
Incidentwave
yn+1
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 40
Paraxial Approximation for Repeated KirchhoffIntegration and Screens of Uniform Height
For uniform building height and uniform row spacing
h x x d
d y y dy y
d
H x ye
de dy dy H d y j
k
dy y
n n n
n n nn n
N N
j N
NjkNd
N n nn
= − =
= + −( ) ≈ +−
= ••• − −( )
+
++
+ +−
∞ ∞
+=
∫ ∫
0
2
2
1
21
2 12
1 1
4
2 10 0
1 1
2
,
( )
( , )( )
( , )exp/
ρ
λ
π
11
4
1 1 2 10 0
1 1
2
1
2
N
n n nj
n
N N
jkNd
N N n nn
N
v yjk
ddy e
ddv
H x ye
dv dv H d y v v
∑
∫ ∫ ∑
= =
= ••• − −( )
−
+ +
− ∞ ∞
+=
Let ;
( , ) ( , )exp
/
/
π λπ
π
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 41
Approximation for Cylindrical Wave of aLine Source
H d ye
d y y
dy y
d
H d ye e
de e
gy
dv y
jk
d
H d ye e
jk
jkd jky djky y d jky d
c
jkd jky
( , )
( , )
( , )
// /
11
12
1 0
2
1 0
2
1
22
01 1
1
1
02
0 1 12
02
2
2
=
= + −( )
≈ +−( )
≈
= =
≈
−
− −−
− −
ρ
ρ
ρ
ρ
λ
where
In exponent
Define and
Then
1
// 22 1 1
2d
g j
de ec πν ν−
1
y
x
y0
d
2 3 4 N N+1
d
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©2002 by H.L. Bertoni 42
Integral Representation for Field at the N+1 Edge
At the roof top of the + row of buildings N y
H xe e
ddv dv dv e v v v v
N N
N
jk N d jky d
N Ng j
n nn
N
nn
Nc
1 0 0
0 2 2 2
1 1
1
1 2
2 1 200 0
212
11
12
2
02
1
+ +
+
− +( ) − ∞∞ ∞
+=
−
=
= =( )
= ••• − + −
∫∫ ∫ ∑ ∑
ν
ππν( , ) exp
( )
/
= ( )
= ( )
=
∞
+
− +( ) −
=
∞
∑
∑
Use Taylor series expansion
Then
where are Borsma functions
eq
g j v
H xe e
d qg j I
I
g j vc
q
N
jk N d jky d
c
q
N qq
N q
c21
0
1
1 2
0
1
02
12
01
2 2
2
π π
π
!
( , )!
( )
( )
( )
,
,
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 43
I d d d
q
IN q
NI
N q N Nq
n nn
N
nn
N
N q N q
, /
, ,
exp
( )( )
21
2 2 2
2
12 1
2 1 200 0
1 12
11
12
2
1
( ) = ••• − + −
≥
( ) =−
+
∞∞ ∞
+=
−
=
− −
∫∫ ∫ ∑ ∑π
ν ν ν ν ν ν ν ν
β β
Recursion relation for
22 1
1
1
1
0 32
1 23
321
1
2 1
21
12
1
4
1
1
βπ
β
π
ββ
( ) ++
( )−
=+( )
=+ −( )
−
−
= −
−
=
∑
∑
( )
( ) ; ( )
,
, ,
N
I
N n
IN
In N n
n q
n
N
N Nn
N
where
Borsma Functions for Line Source Field
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 44
Rooftop Field Reduction Factor for LowBase Station Antenna
Reduction factor found from cylindrical wave field
where
In terms of Boersma functions
For and
Q gH x
eN d y N d
Q g Nq
g j I
y gy
d
Q g N
N cN
jk
N c cq
q
N q
c
N c
++
−
+=
∞
+
= = +[ ] + ≈ +
= + ( )
= = =
= +
∑
11 2
02
10
00
1
01 1
11
2 2
0 0
( )( , )
/( ) ( )
( )!
( )
,
( )
,
ρ ρρ
π
λ
1111
113 2( ) /N N+
=+
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 45
Field Reduction Past Rows of Buildings
Field after multiple diffraction over absorbing screens. Values of y0 are for a frequency of 900MHz and d=50 m.
λ=−= dygHhy cBBS 00 ,
Number of Screens M = N+11 10 100
10
1
0.1
0.01
0.001
0.0001
QM
y0= +11.25m
y0= –11.25m
y0= 0m
1/M
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 46
sQ Q
M M
Q Q
M MM M M M= −
−+ −
−( )
+( )[ ]+ +log log
log( ) log
log
log1 1
1 1
Slope of field H(M) vs. Number of Screensfor different Tx heights at 1800MHz
0 10 20 30 40 50 60 70 80 90 1000.5
0.6
0.7
0.8
0.9
1
1.1
1.2
Number of ScreensM
Slop
e of
Fie
ld, s
y0 < 0
y0 > 0
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 47
Modifications for Propagation Oblique to theStreet Grid
Base Station
φ
x
R
x=0
mobile
Radio propagation with oblique incidencex = Md + d/2
PGkr
g ydc2
2
0101 1 1
2= −
+
=⊥ ⊥ ⊥
logcos
cosπ φ θ π θ
φλ
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 48
Comparison of Base Station Height Gain withHar/Xia Measurement Model
f
d
y h H
R
NR
d
NR
d
BS B
=
=
= −
=
=
+ = =
= °
+ = =
1 8
50
1
0
1 20
60
1 10
0
.
/cos
GHz
m
km
For perpendicular propagation
For oblique propagation
φ
φ
φ-8 -6 -4 -2 0 2 4 6 8
-50
-45
-40
-35
-30
-25
-20
-15
-10
-5
0
Q in
dB
y0
Q10
Q20
Qexp
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 49
Experimentally Based Expression for Qexp
We can compare the theoretical with the Har/Xia measurements using
The Har/Xia formulas for path loss on staircase and transverse paths give
, so that
Substituing their expression for gives
Q
L PG PG Q PG
L
Q L PG PG
L
Q f
f y y
y y R
exp
exp G
G
= − = − − −
= − − −
= − +[ ]{− −[ ] +( )+ − +( )[ ]
0 2
0 2
0 0
0 0
20
20
20 138 3 38 9
13 7 4 6 1
40 1 4 4 1
log
log
log . . log
. . log sgn( )log
. . sgn( )log log kk
k B mR H h
}
−×
−
−
10
4 1010
23
2
2 2log log( )
λπ
λρπ
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 50
Comparison of Range Index n with Har/XiaMeasurement Model
km
m
GHz
2/1
50
8.1
=
=
=
R
d
f
n=2+2s
-8 -6 -4 -2 0 2 4 6 83.4
3.5
3.6
3.7
3.8
3.9
4
4.1
4.2
4.3
4.4
n
y0
theoryexp
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 51
Q for Mobile to Mobile Communications
θ0 θ1
ρ1
ρ0
h0 h1Rn=1 2 M
HB
Peak of first building acts as line source of strength
Propagation past remaining peaks gives factor 1/(M-1)Effective reduction factor
D
QD
Me
θ ρ
θ
ρ
0 0
0
0 1
( )
=( )
−( )
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 52
Comparison of Q Factors for Plane Waves,Cylindrical Waves and Mobile-to-Mobile
λ
λ
αλ λ
λ
λ
λ
= = =
=
= =−
= =
>
< −
1 3 50 20
1 1
0
0
0
0
/
sin
m, m,
Use plane wave factor for
use mobile - to - mobile factor for
d M
g y d
gd h H
Md
d
M
y
d Mg
y d
y d
c
pBS B
c
-15 -10 -5 0 5 10 15-60
-50
-40
-30
-20
-10
0
Q (
dB)
y0
Q20(gc)
Q (gp)
Qe
dλ− dλ
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 53
Path Loss for Mobile-to-Mobile Communication
LR
QD
R Md
L dM MD D
D
k k d
d
H h
e
B m
= −
− −
=
= −
+ −[ ]− −
≈ ≈−
204
20 10
204
20 1 10 10
1
2
1 1
2 2
2
1
2
1
0
2
0
1
2
1
2
2
log log log
log log ( ) log log
( / )
/
λπ ρ
λπ ρ ρ
ρ π ρ θ π
Since
If both mobile are at same height and in the middle of the street, using22
2 2
3
8
20 16 20 1 40
=−
= + −[ ] +−
d
H h
L M MH h
B m
B m
λπ
πλ
( )
log( ) log ( ) log
gives
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 54
θ0 θ1
ρ1
ρ0
h0 h1Rn=1 2 M
HB
PG M M H h
H h
PG M M
M M M M M
d
dB B m
B m
dB
≈ − ( ) − −[ ]− −[ ]= = =
≈ − − −[ ]− > −
−[ ] < − < <
=
20 16 20 1 40
2 3 10 2
53 9 20 1 43 2 138
20 1 40 9 1 111 11
50
3log log ( ) log ( )
/
. log ( ) .
log ( ) . ( )
π λ
λFor m, m, m
Thus or or
For m, RR Md= = 550 m = 0.55 km
Walk About Range for Low Buildings
Polytechnic University,Brooklyn, NY
©2002 by H.L. Bertoni 55
Summary of Solution for Low BaseStation Antennas
• Reduction factor found using an incidentcylindrical wave
• QM depends on parameter gc and the number ofrows of buildings M over which the signal passes
• Theory gives the correct trends for base stationheight gain and slope index, but is pessimistic forantennas below the rooftops
• Theory give simple expressions for path gain inthe case of Mobile-to-mobile communications