Transcript chapter4+5
Chapter 4 - Making It Work
Multiple Access
Radiowave Propagation
Signal Processing
The Network
Making it work: Radiowave
propagation
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Radiowave Propagation
• Multipath- radiowaves can reach mobile user by
many paths
Making it work: Radiowave
propagation
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Signal strength
Signal varies in
• Fast fading – due to multipath
fading
• Medium fading – due to
geographical features or ground
cover
• Slow fading – due to power fall-off
with distance
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Multipath fading
• Signals from
different paths may
add or cancel
• User in a 'multipath
environment' or a
fading environment
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Cell planning
BT CellNet
UK coverage
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Cell planning
Problem
1
To establish edge of cell
to enable placement of main base
stations
- do calculations using simple
propagation models
- do measurements and derive simple
equations
2
To predict signal level within cell to
discover if ‘fill-ins’ are needed
- do difficult ray tracing models using
reflection, diffraction, etc
- do measurements
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Slow Signal Reduction
-Propagation in Free Space
Free space loss equation
Pd = P.G1.G2.(/4..d)2
where
Pd = power received
P = power transmitted
G1,2 = antenna gains
= wavelength
d = distance between antennas
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Putting the loss factor (4..d / )2 in dBs
LdB = 32 + 20.log10fMHz + 20.log10dkm
So that
Pr = Pt + G1 + G2 - LdB
Assuming a receiver noise, Nr, and that a signal to
noise ratio of S is required. Then
P > S + Nr + L – G1 – G2
Example, Find P for S = 20dB, Nr = -120dBm,
G1 = G2 = -3dBi, f = 150MHz, d = 1km
Answer L = 76dB and P = -18dBm
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Slow Signal Reduction
- Propagation over ground
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• Direct wave:
Ed = A.exp(-j.k.r0)/4..r0
(1)
• Ground reflected wave:
Er = A..exp(-j.k.r1)/4..r1
(2)
where A is a constant that contains antenna gains
and transmit power level
and is the ground reflection coefficient.
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Total received wave:
Etot = Ed + Er
(3)
Substituting from eqn (1) and (2)
Etot = A. exp(-j.k.r0)/4..r0
. [1 + .exp(-j.k.(r1 - r0)).r0/r1] (4)
or
Etot = Ed.[1 + .exp(-j.k.(r1 - r0)).r0/r1]
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(5)
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If d >> hT, hR, as is usually the case, then
R0/R1 1
and expression (5) simplifies to:
Etot = Ed.[1 + .exp(-j.k.(R1 - R0))] (6)
Now for low angle incidence on the ground
.exp(j.) = -1
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Furthermore, for d >> hT, hR, we have:
(7)
2
and
(
1
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)2
(8)
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Using = - 1 and eqn (8), we can see that the
square bracket in eqn (6) becomes
(9)
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Thus putting eqn (9) into eqn (5)
Etot = 2.Ed.sin(k.ht.hr/d)
(10)
or in power terms
Ptot = 4.Pd. sin2(k.ht.hr/d)
(11)
Now
Pd = P.G1.G2.(/4..d)2
Thus
Ptot = 4.P.G1.G2.(/4..d)2. sin2(2..ht.hr/ .d)
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(12)
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It can be seen that for grazing incidence
d >> hT, hR and thus
sin2(2..ht.hr/ .d) = (2..ht.hr/ .d)2
and
Ptot = P.G1.G2.(ht.hr/d2)2
(13)
Note that
free space signal 1/d2
plane earth signal 1/d4
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Loss factor is
LdB = 40 log10d – 20 log10(ht.hr)
So that
Pr = Pt + G1 + G2 - LdB
Example, Find P for S = 20dB, Nr = -120dBm,
G1 = G2 = -3dBi, f = 150MHz, d =25km
ht.hr = 100m2 (high base station and
handheld receiver)
Answer P = 16 watts
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To improve accuracy, include
land usage factor 0 < L < 1
terrain height difference between tx and rx, H
So
LdB = 40 log10d – 20 log10(ht.hr)
+ 20 + fMHz/40 +1.08.L – 0.34.H
Example, Example, Find P for S = 20dB, Nr = -120dBm,
G1 = G2 = -3dBi, f = 150MHz, d =25km
ht.hr = 100m2, L = 0.3, H = 50m
Answer P = 125W
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Range of applicability of the
two-ray model
• Good for VHF band or above (>30MHz)
• At high frequencies
(when wavelength ~ roughness )
reflection coefficients not accurate
reflection is diffuse
• At long range (>25km)
earth not flat but spherical
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Fast and medium fading
-ray tracing methods
Find ray paths including
• Reflections
• Diffractions
• Combinations of the two
Pictures taken from
http://www.awe-communications.com/main.html
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Diffraction
• Ray is
scattered by
any edge
Illuminated
region
Shadow region
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Result from commercial
modelling tool
Direct ray only
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Direct + 2 reflections
+ 1 diffraction
Direct + 1 reflection
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Direct + 6 reflections
+ diffraction + double diffraction
+ diffraction/reflection
+ diffraction/2 reflections
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How to model propagation
losses?
• expressions based on analytical results
• parameters determined by lots of measurements
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How to model propagation losses?
Simple model.
Free space loss
Pr = Pt.Gt.Gr. (/4d)2
or putting loss factor (4d / )2 in dBs
LdB = 32 + 20.log10fMHz + 10.v.log10dkm
(so that Pr = Pt + Gt + Gr – LdB )
where v = 2
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How to model propagation losses?
Simple model.
Plane earth loss
Pr = Pt.Gt.Gr. (/4d)2 .sin2(2ht.hr/d)
= Pt.Gt.Gr. (ht.hr /d2)2
or putting loss factor in dBs
LdB = 10.v.log10d – 20.log10(ht.hr)
(so that Pr = Pt + Gt + Gr – LdB )
where v = 4
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How to model propagation losses?
Simple model.
In many cases of communications
2<v<4
Lower values of v correspond to rural or sub-urban areas
Higher values of v correspond to urban areas
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How to model propagation losses?
Simple model.
Fig 2.7 shankar
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How to model propagation losses?
Hata’s model.
For urban areas
LdB = 69.55 + 26.16.log10fMHz + (44.9 – 6.55.log10hb).log10d
- 13.82.log10hb – a(hm)
where
d = separation in km, (must be > 1km)
hb, hm = base and mobile antenna heights in m
a(hm) = mobile antenna height correction factor
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How to model propagation losses?
Hata’s model.
For large cities
a(hm) = 3.2[log10(11.75.hm)]2 – 4.97
f > 400MHz
For small and medium cities
a(hm) = [1.1.log10f – 0.7].hm – [1.56.log10f-0.8]
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How to model propagation losses?
Hata’s model.
For suburban areas
LdB = Lp – 2[log10(fMHz/28)]2
where
Lp = loss for small to medium cities
(from previous expression)
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How to model propagation losses?
Hata’s model.
For rural areas
LdB = Lp – 4.78.[log10fMHz]2 + 18.33.log10fMHz – 40.94
where
Lp = loss for small to medium cities
(from previous expression)
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Results - Note that large and small to medium loss
different by only 1dB
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How to model propagation losses?
Hata’s model.
Received power given by
Pr(d) (dBm) = Pt – Ploss(d)
where Ploss(d) = LdB(dB) for a given d
from above expressions
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How to model propagation losses?
Hata’s model.
We know that from simple model
Pr(d) (1/d)v
At a distance dref
Ploss(dref) 10.v.log10(dref)
and
Ploss(d) 10.v.log10(d)
so that
v = [Ploss(d) - Ploss(dref)] / 10.[log10(d) - log10(dref)]
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How to model propagation losses?
Hata’s model.
Examples of value of v
For d > 5km
large city
small to medium city
suburbs
rural
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v = 4.05
v = 4.04
v = 3.3
v = 2.11
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Cell Planning
BT CellNet
UK coverage
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Network Planning
Microwave links
to mobile switching
centres
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propagation
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The Multipath Environment
Propagation mechanisms
•Diffraction
•Multiple diffraction
•Reflection
•Vertex diffraction
•Scattered paths
with long delays
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propagation
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The Multipath Environment
Signal varies in
• Fast fading – due to multipath
fading
• Medium fading – due to
geographical features or ground
cover
• Slow fading – due to power fall-off
with distance
Making it work: Radiowave
propagation
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Movement creates fading
important to know statistics of fading to
optimally design system
threshold
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The Multipath Environment-Fading
Urban Channels
Rayleigh probability density function
describes short term fading if mobile moves
characteristic of deep urban environments
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To create a suitable statistical model, assume
No direct ray
Many (>10) approximately equal amplitude
reflected/diffracted rays
Rays have random phase and angle of arrival, with
• uniform arrival angle distribution 0 < < 360
• uniform arrival phase distribution 0 < < 360
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Then probability of received signal envelope, a, is
a
f (a )
. exp
2
2
2
a
2
where
a = received signal envelope
2 = variance,
( = standard deviation)
and 22 = mean square value
This is a Rayleigh statistical model
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Characteristics
• Zero probability of zero signal
• Zero probability of infinite signal
0.7
f(a)
• Peak value at
• Non symmetrical shape
0
5
a
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Movement creates fading
system will have threshold above which
signal will be detectable; below it will be lost
Key parameters
• outage probability
• level crossing rate
threshold
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• average duration
of fades
All needed to choose
best bit rates, word
lengths and coding
schemes
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Outage Probability
The outage probability is the probability that the signal
level will be below the threshold level, athresh.
Pout
prob [a a thresh ]
pthresh
f (a ).da
0
a2
.da
. exp
2
2
2
0
a 2 thresh
1 exp
2
2
a thresh
a
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Outage Probability
Example
If average signal is 100W, what is probability of
outage, if athesh = 50 W.
Now remember that
22 =
=
and also
a2thresh =
=
So
mean square envelope value
c x average power
square threshold envelope value
c x threshold power
Pout = [1 – exp(-50/100)] = 0.3935
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Level crossing rate and average
duration of fades
Rate of positive (or negative) going crossings and average
time spent below threshold in fades must be quantified
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Level crossing rate
To find rate, need to know joint probability of signal being at
given level, a, and at a given slope (or rate of change of
signal), da/dt.
Assuming that these are uncorreleated, then
da
p a ,
dt
then
Na
where
da
p(a ). p
dt
2 . f m . .exp( 2 )
a
2 .
a
a RMS
Making it work: Radiowave
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Not able to prove in
scope of course
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Level crossing rate
NR
2 . f m . .exp( 2 )
Note NR is dependent on
velocity (by fm) and
envelope level.
Result:NR/fm is number of
crossings per wavelength,
Peaks when a is on aRMS
value and low elsewhere
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Average duration of fades
Average duration of fades is average period of fade below
threshold, that is ave. of τ1, τ2, τ3, etc. It is given by the
outage probability / level crossing rate.
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Average duration of fades
E a
Pout
Na
a2
1 exp
2
2
2 . f m . . exp 2
1
2 . f m .
where
a
2 .
.exp 1
2
a
a RMS
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Calculation
Assume,
fm = 100Hz, (fast car)
ρ = 1 (signal envelope at
RMS value),
so exp(1) = 2.72
E
2.72 1
2 .100.1
6.9 m sec
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Statistics for Non-Urban Cases
Other fading models - Rician
Rician probability density function
describes short term fading if mobile moves
characteristic of suburban and rural environments
Same assumptions as Rayleigh, with some direct ray
f(a) = (a/2).exp[-(a2 + A02)/22].I[aA0/ 2 ]
where A0 is amplitude of direct ray
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Rician characterised by K
K(dB) = 10log10[A02/22]
For K = - Rician becomes Rayleigh, with increasing direct ray
K increases and for very large K Rician tends to Gaussian
K = 0.8dB
0.7
K = 6dB
f(a)
K = 14dB
0
a
10
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Lognormal probability distribution
describes case when multiple
scattering of single ray occurs
f(P) = (1/(22P2)).exp[-ln2(P/P0)/22]
0.7
f(P)
P
0
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The Multipath Environment - Dispersion
Rays arriving at different times
result in pulse broadening or time
dispersion
Transmitted pulse
Effect is to produce
Inter symbol interference
Received pulses
and envelope
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The Multipath Environment - Dispersion
Rms delay spread, d, is a measure of the broadening.
Thus channel bandwidth is given by
Bc = 1/(5d)
If
Bc > Bm channel is flat fading ( no ISI )
and if
Bc < Bm channel is frequency selective ( ISI occurs)
where Bm is the message bandwidth
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The Multipath Environment - Dispersion
If mobile is moving then repetitive fading will take place
Assume two rays coming from 0 and 180.
Interference will produce a standing wave with /2 wavelength
Fading rate, R = 2v/
where
v = velocity of mobile
Example, freq = 100MHz, v = 34mph = 15m/s, R = 10Hz
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The Multipath Environment - Dispersion
If mobile is moving then frequency dispersion will take place
Rays will be received from all directions
and each will experience a Doppler shift of
f = (v/).cos
where
= angle of arrival (0 < < 360)
and when = 0, f = fm, the maximum shift, = v/
Assume that the frequency seen by the mobile is
f = fc + fm cos
where
fc = the carrier frequency
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The Multipath Environment - Dispersion
Now to preserve power
the power spectral density must equal the power arrival density
so
S(f).df = P().d
Assuming equal arrival probability from all angles, then
S(f) = d/df
Now
d/df = -1/(fm.sin ) = -(1/fm) / (1 – cos2 )
So
S(f)
= -(1/fm) / [1 – (f - fc)2/fm2]
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The Multipath Environment - Dispersion
S(f)
Received frequencies will be
smeared over range from
–fm to fm
Channel coherence time given by
f
Tc = 9/16fm
-fm
fm
Pulse duration is Tp then
if Tp < Tc no pulse distortion, channel has slow fading
if Tp > Tc distortion occurs, channel has fast fading
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Diversity
Basic Principle :
if two or more independent samples of a random process
are taken then these samples will fade in an uncorrelated manner.
Diversity Methods
Frequency
- unacceptable as it would increase spectrum congestion.
Polarisation
- possible but depends on degree of depolarisation
in scattering process.
Field
- E and H field may be uncorrelated but antenna design may be hard.
Space
- best method, but needs > antenna spacing.
- OK at VHF on vehicles and at > 900 MHz on handsets
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Diversity
Can be done at base station or mobile
but normally at base station
to keep cost of handsets down
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Key concept is sampling of multipath waveform at two points
or creation of two uncorrelated waveforms
in multipath environment
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Multipath scattering
Base station diversity (mainly down-link)
area
two antennas create two uncorrelated
multipath field environments at mobile
Handset diversity (mainly down-link)
two antennas sample multipath
field environments at two
uncorrelated points
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Typical diversity base station antennas
(a) USA, (b) UK, (c) Japan
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How to combine signals from multiple antennas
in a diversity system
(a) Switching
•
•
•
Simple
Cheap
Least effective
Improvement in SNR
M
1
D( M )
k 1 k
So for M = 2
D(M) = 1.5
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(b) Cophasing and summing
Better performance
But requires phase shifters
Improvement in SNR
D( M ) 1
4
( M 1)
So for M = 2
D(M) = 1.8
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(c) Maximal ratio combining
Best performance
But requires
phase shifters and
variable gain amps
Improvement in SNR
D( M )
M
So for M = 2
D(M) = 2.0
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Switching strategies for diversity systems
•
switch and stay
(until threshold is dropped below).
•
switch and examine
(and keep switching if other
SNR is below threshold).
•
selection diversity
(selected best SNR)
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