Lecture 5: Large-Scale Path Loss Chapter 4 – Mobile Radio Propagation: Large-Scale Path Loss.
Chapter 4 Mobile Radio Propagation: Large-Scale Path Loss...ECE 8708 Wireless Communications :...
Transcript of Chapter 4 Mobile Radio Propagation: Large-Scale Path Loss...ECE 8708 Wireless Communications :...
Yimin Zhang, Villanova University 1
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Chapter 4Chapter 4
Mobile Radio Propagation: Mobile Radio Propagation: LargeLarge--Scale Path LossScale Path Loss
Yimin Zhang, Ph.D.Department of Electrical & Computer Engineering
Villanova Universityhttp://yiminzhang.com/ECE8708
Yimin Zhang, Villanova University 2
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
OutlinesOutlines
Propagation Model - Attenuations
- Free Space
- Reflection
- Diffraction
- Scattering
Log-Normal Shadowing
Practical Link Budget Design
Yimin Zhang, Villanova University 3
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Propagation ModelsPropagation Models
Yimin Zhang, Villanova University 4
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Mobile Radio PropagationMobile Radio Propagation
• Mobile radio channel is an important controlling factor in wireless communication systems.
• Transmission path between transmitter and receiver can vary in complexity.
• Wired channels are stationary and predictable, whereas radio channels are extremely random and have complex models.
• Modeling of radio channels is done in statistical fashion based on measurements for each individual communication system or frequency spectrum.
Yimin Zhang, Villanova University 5
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Propagation ModelsPropagation Models
• Large scale propagation models - To predict the average received signal strength over large T-R separation distances (several hundreds or thousands of meters).
Typically, the local average received power is computed by averaging signal measurements over a measurement track of 5 to 40 wavelengths.
• Small scale propagation models (or fading models) - To characterize the rapid fluctuations of the receiver signal strength over very short distances ( a few wavelengths) or short time durations (on the order of seconds).
In small scale fading, the received signal power may vary by as much as three to four orders of magnitude (30 to 40 dB).
Yimin Zhang, Villanova University 6
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Electrical FieldThe electric field is expressed as a vector E
and its magnitude is given by
The unit of electrical field is volts/meter.
Electrical Field
zyx EzEyExE ++=
222zyx EEEEE ++==
Yimin Zhang, Villanova University 7
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
The standard unit of power is Watt, but dBm is more commonly used.
P (dBm) = 10 log10 [ P (mW)]
P (mW) P (dBm)
10 101 0
10-1 -1010-2 -20
Minimum usable signal strength to be received at a base station is typically between -90 dBm -100 dBm.
Units of Received Signal StrengthUnits of Received Signal Strength
Yimin Zhang, Villanova University 8
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
• Free Space Propagation: Transmitter and receiver have a clear, unobstructed LOS path between them.
• Reflection: From the surface of the earth and from buildings and walls. Usually dimensions of reflecting object are much greater than wavelength.
• Diffraction: Bending of electromagnetic waves around sharp edges such as, sharp towers or peaks.
• Scattering: Due to objects in the medium that are small compared to wavelength and the number of objects is many (e.g., foliage, street signs, lamp posts, rain, shower).
Propagation ModelsPropagation Models
Yimin Zhang, Villanova University 9
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Radiating Power to Electric FieldRadiating Power to Electric Field
Yimin Zhang, Villanova University 10
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Radiating Power to Electric FieldRadiating Power to Electric Field
)/(32
0
0 12
cos cdtj
cr
cedj
cdc
LiE −
+= ω
ωπεθ
Electric and magnetic fields launched from electric current i0
)/(3
2
220
0
4sin cdtj
c
c cedj
cdc
dj
cLiE −−
++= ω
θ ωω
πεθ
)/(2
0
4sin cdtjc ce
dc
dj
cLiH −
+= ω
φω
πθ
0=== θφ HHE r
In the near field (d is small), 1/d2 and 1/d3 terms may dominate.
Yimin Zhang, Villanova University 11
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
When d is large, 1/d2 and 1/d3 terms becomes negligible, and only
survive.
Far field regions: regions far away from the transmitter satisfying
d >> df = 2D2/λ (df is called the Fraunhofer distance)
Additionally, to be in the far-field region, df must also satisfy
df >> λ and df >> D
Hereafter, we only consider propagation at far-field regions.
Radiating Power to Electric FieldRadiating Power to Electric Field
)/(2
0
0
4sin cdtjc ce
dj
cLiE −−
= ω
θω
πεθ
)/(0
4sin cdtjc ce
dj
cLiH −
= ω
φω
πθ
Yimin Zhang, Villanova University 12
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Effective isotropic radiated power (EIRP)
EIRP = Pt Gt
where Pt : Transmitter powerGt : Transmitter antenna gain
EIRP represents the maximum radiated power available from a transmitter in the direction of maximum antenna gain, compared to an isotropic radiator.
In practice, effective radiated power (ERP) is more commonly used
ERP = EIRP /1.64 or ERP (dB) = EIRP (dB) – 2.15
ERP represents the maximum radiated power available from a transmitter in the direction of maximum antenna gain, compared to a half-wave dipole antenna.
Radiating Power to Electric FieldRadiating Power to Electric Field
half-wave dipole antenna radiation pattern
Yimin Zhang, Villanova University 13
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Free Space PropagationFree Space Propagation
)W/m(44
EIRP 22
22 ηππE
dGP
dP tt
d ===
Power flux density:
where η=120π=377 (Ω) is the intrinsic impedance of free space.
Yimin Zhang, Villanova University 14
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Free Space PropagationFree Space Propagation
ant
ant
ant
antr R
VR
VdP4
)2/()(22
==
It the receiver antenna is modeled as a matched resistive load to the receiver, then the receiver antenna will induce an voltage into the receiver which is half of the open circuit voltage at the antenna.
Yimin Zhang, Villanova University 15
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
: effective aperture (of the receiver antenna)
Pr : Received powerD : Max dimension of transmitting antennaGr : Receiver antenna gainL : System loss factor (L ≥ 1, transmission lines etc,
but not due to propagation)λ= c / f = 3 • 108 / f : Wavelength
(units – f : Hz, c = 3 • 108 : meters/sec, λ: meters)
Free Space PropagationFree Space Propagation
LdGGPAPdP rtt
edr 22
2
)4()(
πλ
==
T Rd
πλ
4
2r
eGA =
Yimin Zhang, Villanova University 16
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Path loss: signal attenuation as a positive quantity measured in dB, is defined as the difference (in dB) between the effective transmitted power and the received power, and may or may not include the effect of antenna gains.
(when antenna gains are included)
(when antenna gains are excluded)
Free Space PropagationFree Space Propagation
−== 22
2
)4(log10log10)dB(PL
dGG
PP rt
r
t
πλ
−== 22
2
)4(log10log10)dB(PL
dPP
r
t
πλ
Yimin Zhang, Villanova University 17
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
For free space propagation, the path loss exponent is 2.
or
Free Space PropagationFree Space Propagation
2
00 )()(
−
=
dddPdP rr
−
=
−=
0
0
00
log20)W(001.0)W()(log10
log20)dBm()()dBm()(
dddP
dddPdP
r
rr
For simplicity of computations, the reference distance d0 for practical system using low-gain antennas in the 1-2 GHz region is typically chosen to be 1 m in indoor environment and 100 m or 1 km in outdoor environments.
Yimin Zhang, Villanova University 18
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Program: Given a transmitter produces 50W of power. If this power is applied to a unity gain antenna with 900 MHz carrier frequency, find the received power at a free space distance of 100 m from the antenna.
What is the received power at 10 km? Assume unity gain for the receiver antenna.
Program: Given a transmitter produces 50W of power. If this power is applied to a unity gain antenna with 900 MHz carrier frequency, find the received power at a free space distance of 100 m from the antenna.
What is the received power at 10 km? Assume unity gain for the receiver antenna.
ExampleExample
Solution: fc = 900 MHz λ = (3 • 108) / (900 • 106) = 0.333 m; Pt = 50 W; Gt = 1; Gr = 1; L = 1;
At d = 100 m
or
At d = 10 km
Solution: fc = 900 MHz λ = (3 • 108) / (900 • 106) = 0.333 m; Pt = 50 W; Gt = 1; Gr = 1; L = 1;
At d = 100 m
or
At d = 10 km
)mW(105.3)W(105.31100)4(
333.01150)4(
3622
2
22
2−− ×=×=
×××××
==ππ
λLd
GGPP rttr
)dBm(5.24))mW(log(10)dBm( −== rr PP
)mW(105.3)W(105.3 710 −− ×=×=rP )dBm(5.64)dBm( −=rP
Yimin Zhang, Villanova University 19
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Electric Properties of Material Bodies
Permittivity ε F/m Farads/m
Permeability µ H/m Henries/m
Conductivity σ S/m Siemens/m
For lossless dielectrics, the permittivity is real and can be expressed as ε = ε0 εr, where ε0 = 8.85 • 10-12 F/m is the permittivity of free space, and εr is relative permittivity (dielectric constant)
For lossy dielectric materials, ε = ε0 εr - j ε’, where
ReflectionReflection
fπσε
2'=
Yimin Zhang, Villanova University 20
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
ReflectionReflection
For lossydielectrics, σ may be sensitive to frequency.
For lossydielectrics, σ may be sensitive to frequency.
For a good conductor (f<σ/εrε0), terms εrand σ are generally insensitive to the operating frequency.
For a good conductor (f<σ/εrε0), terms εrand σ are generally insensitive to the operating frequency.
Yimin Zhang, Villanova University 21
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
ReflectionReflection
111 ,, σµε
222 ,, σµε
Dielectric 1
Dielectric 2
When a radio wave propagating in one medium impinges upon another medium having different electric properties, this wave is partially reflected and partially transmitted.
If the second medium is a perfect conductor, then all incident energy is reflected back into the first medium without loss of energy.
Speed of propagation
(at free space 3x108m/s)
Intrinsic impedance
(at free space 120π Ω)
iiiv
εµ1
=
i
ii ε
µη =
Et
Ei Er
Yimin Zhang, Villanova University 22
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
(vertical polarization) (horizontal polarization)
Reflection Reflection -- PolarizationsPolarizations
Yimin Zhang, Villanova University 23
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Relationship between angles
Snell’s Law
When µ1=µ2
Ei Er
Et
θi θr
θi = θr
Reflection Reflection –– Angle RelationshipsAngle Relationships
)90sin()90sin( 2211 ti θεµθεµ −=−
ri θθ =
θt)90sin()90sin( 21 ti θεθε −=−
Yimin Zhang, Villanova University 24
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Reflection coefficient
Transmission coefficient
The value of Γ depends on polarization.
ΓEE
i
r =
ΓTEE
i
t +== 1
it
it
i
r
EEΓ
θηθηθηθη
sinsinsinsin
12
12|| +
−==
ti
ti
i
r
EEΓ
θηθηθηθη
sinsinsinsin
12
12
+−
==⊥
Reflection Reflection –– Magnitude RelationshipsMagnitude Relationships
Ei Er
Et
θi θr
θi = θr
θt
E-field in the plane of incident
E-field normal to the plane of incident
Yimin Zhang, Villanova University 25
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
When the first medium is free space, and µ1=µ2
irir
irir
irr
i
irr
i
irt
irt
i
r
t
i
r
t
it
it
i
r
EEΓ
θεθε
θεθε
θεε
θ
θεε
θ
θεθθεθ
εµθ
εεµθ
εµθ
εεµθ
θηθηθηθη
2
2
2
2
0000
0000
12
12||
cossin
cossin
sincos1
sincos1
sinsinsinsin
sinsin
sinsin
sinsinsinsin
−+
−+−=
+−
−−=
+
−=
+
−
=+−
==
Reflection Reflection –– Magnitude RelationshipsMagnitude Relationships
)90sin()90sin( tri θεθ −=−r
itt ε
θθθ2
2 cos1cos1sin −=−=
iri
iriΓθεθ
θεθ2
2
cossin
cossin
−+
−−=⊥
Yimin Zhang, Villanova University 26
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Reflection Reflection –– Magnitude RelationshipsMagnitude Relationships
Yimin Zhang, Villanova University 27
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Parallel / Perpendicular /vertical polarization horizontal polarization
θi = θr θi = θrEi = Er Ei = –Er
Reflection from Perfect ConductorReflection from Perfect Conductor
Ei Er
θi θrθi = θr
Yimin Zhang, Villanova University 28
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Ei
θi θ0
ELOS
Er=Eg
ETOT = ELOS +Eg
R (receiver)
hr
ht
T (transmitter)
d
Ground Reflection Ground Reflection –– TwoTwo--Ray ModelRay Model
Yimin Zhang, Villanova University 29
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Ground Reflection Ground Reflection –– TwoTwo--Ray ModelRay Model
Yimin Zhang, Villanova University 30
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Ground Reflection Ground Reflection –– TwoTwo--Ray ModelRay Model
−=
cdtj
ddEtdE cωexp),( 00
General E-field expression in free space
Line-of-sight (LOS) wave
where d0 is a reference distance at the far-field.
−=
cdtj
ddEtdE c
'exp'
),'( 00LOS ω
Ground reflection wave
−=
cdtj
ddEΓtdE c
"exp"
),"( 00g ω
Yimin Zhang, Villanova University 31
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Ground Reflection Ground Reflection –– TwoTwo--Ray ModelRay Model
Assume horizontal E-field and perfect ground reflection, Γ= –1.
The combined E-field becomes
−−
−=+=
cdtj
ddE
cdtj
ddEtdEtdEtdE cc
"exp"
'exp'
),"(),'(),( 0000gLOSTOT ωω
The path difference between the LOS and reflected paths is
)2/()(/)(1)( 22222 dhhddhhddhh rtrtrt ++≈++=++
When d >> ht+hr,
2222 )()( dhhdhh rtrt +−−++=∆
)2/()(/)(1)( 22222 dhhddhhddhh rtrtrt −+≈−+=+−
dhh
dhh
dhh rtrtrt 2
2)(
2)( 22
=−
−+
≈∆
Yimin Zhang, Villanova University 32
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Ground Reflection Ground Reflection –– TwoTwo--Ray ModelRay Model
At some time, say at t=d”/c
"exp
')",( 0000
TOT ddE
cj
ddE
cdtdE c −
∆
==ω
Also note that, when d >> ht+hr,
Denote , then )/( cc ∆=∆ ωθ
ddE
ddE
ddE 000000
"'≈≈
( )
=−=
++−=
+−=
∆∆
∆∆∆
∆∆
2sin2cos22
sin1cos2cos
sin1cos)(
0000
2200
2200TOT
θθ
θθθ
θθ
ddE
ddE
ddE
ddEdE θ
θθθ2
22
sin21sincos2cos
:Ref
−=
−=
Yimin Zhang, Villanova University 33
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Ground Reflection Ground Reflection –– TwoTwo--Ray ModelRay Model
When is small ( )2/∆θ
220000
TOT22
2sin2)(
dkhh
ddE
ddEdE rt =≈
= ∆
λπθ
rad3.0)2/(2/ <∆=∆ ccωθ
cdhh
crtcc ωωθθ
≈∆
=≈
∆∆
222sin λλ
π rtrt hhhhd 203
20:athappensIt
≈>
Conclusion
λrthhd 20
>For
4
22
dhhGGPP rt
rttr =
)log20log20log10log10(log40)dB( rtrtr hhGGdP +++−=
For example, λ = 0.15m, ht = 50m, hr = 1.5m d = 10,000m =10km
For example, λ = 0.15m, ht = 50m, hr = 1.5m d = 10,000m =10km
Yimin Zhang, Villanova University 34
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Ground Reflection Ground Reflection –– TwoTwo--Ray ModelRay Model
http://home.earthlink.net/~loganscott53/Two_Ray_Propagation.htm
Yimin Zhang, Villanova University 35
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
ExampleExample
Yimin Zhang, Villanova University 36
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
ExampleExample
Yimin Zhang, Villanova University 37
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
FresnelFresnel Zone GeometryZone Geometry
hhTT
d1d1 d2d2
RR
When d1 , d2 >> h, h >> λ, the excess path length (difference between the direct path and the diffracted path) is
21
212
2 ddddh +
≈∆
The corresponding phase difference is
21
212
222
ddddh +
≈∆
=λπ
λπφ
Yimin Zhang, Villanova University 38
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
FresnelFresnel Zone GeometryZone Geometry
21
21
ddddnrn +
=λ is the radius corresponding to the nth Fresnel zone,
which has nλ/2 path difference, or nπ phase difference to the LOS.
A rule of thumb is that as long as 55% (many materials say 60%) of the first Fresnel zone is kept clear, the diffraction loss will be minimal.
Yimin Zhang, Villanova University 39
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
http://gbppr.dyndns.org:8080/fresnel.main.cgi
FresnelFresnel Zone GeometryZone Geometry
Yimin Zhang, Villanova University 40
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
FresnelFresnel Zone GeometryZone Geometry
Observations:
• rn is dependent of the wavelength (or frequency).
• If d1 + d2 is fixed, rntakes smaller value when the position is closer to either end.
21
21
ddddnrn +
=λ
Yimin Zhang, Villanova University 41
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
KnifeKnife--Edge Diffraction GeometryEdge Diffraction Geometry• Diffraction allows radio signals to propagate around the curved
surface or propagate behind obstructions.
• Based on Huygen’s principle of wave propagation.
Yimin Zhang, Villanova University 42
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
KnifeKnife--Edge Diffraction GeometryEdge Diffraction Geometry
Yimin Zhang, Villanova University 43
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
KnifeKnife--Edge Diffraction GeometryEdge Diffraction Geometry
Yimin Zhang, Villanova University 44
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
KnifeKnife--Edge Diffraction GeometryEdge Diffraction Geometry
Yimin Zhang, Villanova University 45
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
KnifeKnife--edge Diffraction Geometryedge Diffraction Geometry
The field strength at point R is a vector sum of the fields due to all of the secondary Huygen’s sources in the plane above the knife edge.
Yimin Zhang, Villanova University 46
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
KnifeKnife--Edge Diffraction GeometryEdge Diffraction Geometry
Approximate diffraction gain expressions
21
21 )(2ddddhv
λ+
=
Yimin Zhang, Villanova University 47
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
KnifeKnife--edge Diffraction Geometryedge Diffraction Geometry
21
21 )(2ddddhv
λ+
=
Yimin Zhang, Villanova University 48
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
KnifeKnife--edge Diffraction Geometryedge Diffraction Geometry
• When there are multiple obstructions, the problem becomes much more complicated.
• A simple approach is to use a single equivalent obstacle.
Yimin Zhang, Villanova University 49
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
ExampleExample
Yimin Zhang, Villanova University 50
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
ExampleExample
Yimin Zhang, Villanova University 51
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
ExampleExample
Yimin Zhang, Villanova University 52
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
• When a radio wave impinges on a rough surface, the reflected energy is spread out or diffused in all directions. (e.g., foliage).
• A surface is considered smooth if its minimum to maximum protuberance h is less than the critical height.
• The surface is considered rough if the protuberance is greater than hc.
ScatteringScattering
ich
θλ
sin8=
rough surface
ch
smooth surface
ch
Yimin Zhang, Villanova University 53
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
• Modified reflection coefficient for rough surface
• Scattering loss factorby Ament
modified by Boithias
ScatteringScattering
ΓΓ sρ=rough
−=
2sin8expλ
θπσρ ihs
−=
22 sin8sin8expλ
θπσλ
θπσρ iho
ihs I
σh: standard deviation of the surface height
I0: Bessel function of the first kind and zero order
σh: standard deviation of the surface height
I0: Bessel function of the first kind and zero order
Yimin Zhang, Villanova University 54
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
ScatteringScattering
Yimin Zhang, Villanova University 55
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
ScatteringScattering
Yimin Zhang, Villanova University 56
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Radar Cross Section (RCS) ModelRadar Cross Section (RCS) Model
object scattering on theincident waveradio ofdensity Power receiver ofdirection in wavescattered ofdensity Power RCS =
For a medium and large size building located 5-10 km away, RCS values is in the range of 14.1 to 55.7 dBm2.
Yimin Zhang, Villanova University 57
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Radar Cross Section (RCS) ModelRadar Cross Section (RCS) Model
RT
TTR
ddGPP
log20log20)4log(30]m RCS[dB)20log((dBi)(dBm)(dBm) 2
−−−+++=
πλ
223
2
)4(RCS
RT
TTR dd
GPPπ
λ ⋅=
PT = Transmitted power (mW)GT = Gain of transmitting antenna dT = Distance of scattering object from transmitterdR = Distance of scattering object from receiver
Yimin Zhang, Villanova University 58
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
• Most radio propagation models are derived using a combination ofanalytical and empirical models.
• Empirical approach is based on fitting curves or analytical expressions that recreate a set of measured data.
• Advantages: Takes into account all propagation factors, both known and unknown.
• Disadvantages:New models need to be measured for different environment or frequency.
Practical Link BudgetPractical Link Budget
Yimin Zhang, Villanova University 59
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
• Over many years, some classical propagation models have been developed, which are used to predict large-scale coverage for mobile communication system design.
LongLong--Distance Path ModelDistance Path Model
)()(/at lossPath 000 dPLdPPd T ==
)()(/at lossPath dPLdPPd T ==
n
dd
dPLdPL
=
00 )()(
+=
00 log10[dB])([dB])(
ddndPLdPL
Yimin Zhang, Villanova University 60
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
LongLong--DistanceDistance Path ModelPath Model
Yimin Zhang, Villanova University 61
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
• Long-distance path loss gives only the average value of path loss.• Surrounding environment may be vastly different at two locations
having the same T–R separation d.• More accurate model includes a random variable to account for
change in environment.
LogLog--Normal ShadowingNormal Shadowing
Xσ : Zero mean Gaussian random variable (dB)σ : Standard deviation (dB)
σσ XddndPLXdPLdPL +
+=+=
00 log10[dB])([dB])([dB])(
[dB])(-[dBm])([dBm])( dPLdPdP tr =
Yimin Zhang, Villanova University 62
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
LogLog--Normal ShadowingNormal Shadowing
Yimin Zhang, Villanova University 63
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
• Values of n and σare computed from measured data, using linear regression such that the difference between measured and estimated path losses is minimized in a mean square error sense over a wide range of measurement locations and T–R separations.
LogLog--Normal ShadowingNormal Shadowing
Yimin Zhang, Villanova University 64
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Some results of Q(z) and erf are listed in pages 647 and 649.
Q FunctionQ Function
∫∞
−=
−=
z
zerfdxxzQ2
121
2exp
21)(
2
π
)(1)( zQzQ −=−
5.0)0( =Q
Matlab has erf function.
Q function or error function (erf) can be used to determine the probability that the received signal will exceed (or fall below) a particular level.
Yimin Zhang, Villanova University 65
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
LogLog--Normal Shadowing ModelNormal Shadowing Model
−=>
σγγ )(])(Pr[ dPQdP r
r
−=<
σγγ )(])(Pr[ dPQdP r
r
The probability that the received signal level (in dB power unit) will exceed a certain value γ can be calculated from the cumulative density function as
The probability that the received signal level will be below γ can be calculated from
Yimin Zhang, Villanova University 66
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Pr (x≥x0)
x0 xm
Gaussian Probability Density FunctionGaussian Probability Density Function
−−= 2
2
2)(exp
21)(
σπσmxxP
Yimin Zhang, Villanova University 67
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Gaussian Gaussian pdfpdf--Q Function RelationQ Function Relation
−−= 2
2
2)(exp
21)(
σπσmxxP
dxmxxxPx
r
−−=> ∫
∞
2
2
0 2)(exp
21)(
0σπσ
σmxy −
=Let
)(2
exp21 0
20
0
zQmxQdyymxxPmx
r =
−
=
−=
−
> ∫∞
− σπσσ
σmxz −
= 0 where
Yimin Zhang, Villanova University 68
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Area AArea A
• Given a circular coverage area of radius R...
• There is a desired received signal level γ
• We are interested in computing U(γ), the percentage of useful service area (i.e., the percentage of area with a received power PR ≥ γ)
r R
Percentage of Coverage AreaPercentage of Coverage Area
θγπ
γπ
γπ
rdrdrPR
dArPR
U r
R
r ])(Pr[1])(Pr[1)(2
0 022 <=<= ∫ ∫∫
−−=
−=>
2)(
21
21)(])(Pr[
σγ
σγγ dPerfdPQdP rr
r
Yimin Zhang, Villanova University 69
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Percentage of Coverage AreaPercentage of Coverage Area
++−−−=
+−−−=
−−=
−=>
2))]/log(10)/log(10)(([
21
21
2))]/log(10)(([
21
21
2)(
21
21)(])(Pr[
00
00
σγ
σγ
σγ
σγγ
RrndRndPLPerf
drndPLPerf
dPerfdPQdP
t
t
rrr
2log10,
2)/log(10)(Let 00
σσenbdRndPLPγa t =
++−=
−
−
−
+−=
+⋅−= ∫
baberf
babaerf
drRrbaerfr
RU
R
1121exp)(121
ln121)(
2
02γ
Yimin Zhang, Villanova University 70
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
Percentage of Coverage AreaPercentage of Coverage Area
Yimin Zhang, Villanova University 71
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
ExampleExample
Yimin Zhang, Villanova University 72
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
ExampleExample
Yimin Zhang, Villanova University 73
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
ExampleExample
Yimin Zhang, Villanova University 74
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
• Longley Rice model: point-to-point communication systems (40MHz–100MHz)
• Okumara model: widely used in urban areas (150 MHz – 300 MHz)
• Hata model: graphical path loss (150 MHz – 1500 MHz)
Outdoor Propagation ModelsOutdoor Propagation Models
Radio transmission in a mobile communications system often takesplace over irregular terrain.
The terrain profile of a particular area needs to be taken into account for estimating the path loss.
Most of the models are based on systematic interpretation of measurement data obtained in the service area.
Commonly used outdoor propagation models:
Yimin Zhang, Villanova University 75
ECE 8708 Wireless Communications : Propagation – Large-Scale Path Loss
OutlinesOutlines
Propagation Model - Attenuations
-Free Space
- Near-Field vs. Far-Field
- Reflection
- Two-Ray Model
- Diffraction
- Fresnel Zone
- Scattering
Log-Normal Shadowing
Practical Link Budget Design
- Outdoor Propagation Models