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Lecture 2: Wireless ChannelLecture 2: Wireless Channeland Radio Propagationand Radio Propagation
Hung-Yu WeiNational Taiwan University
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Basics of communications,Basics of communications,capacity, and channelscapacity, and channels
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Electromagnetic SpectrumElectromagnetic Spectrum
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Frequency and WavelengthFrequency and Wavelength
• c=λf
– c: speed of light
– λ: wavelength
– f: frequency
• Example: – AM radio with frequency 1710 kHz
• What’s the wavelength? Ans: 175m
• What’s the period? Ans: 584 ns
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dBdB
• Decibels– 10 log10 (x)
– Power in decibels• dB• Y dB=10 log10 (x Watt)
– Power ratio in decibels• dB• Power P1, P2 in Watt
• 10 log10 (P1/P2)– Example:• Input power 100W and output power 1W• What’s the power ratio in decibel? Ans: 20dB
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dBmdBm
• dBm– Reference power is 1 mW
– 10 log10 (Watts/10^-3)– Example:
• 0 dB= 30dBm=1 Watt
• Summary– P (dBW) = 10 log (P/1 Watt)
– P (dBm) = 10 log (P/1 mWatt)
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Gain and Attenuation in dB orGain and Attenuation in dB or dBmdBm• Gain/attenuation in dB
– 10 log10 (output power/input power)
• Gain(dB)=Pout(dB)-Pin(dB)– Gain: Pout > Pin– Attenuation Pout<Pin
• Gain/attenuation in dBm– X(dBm)+Y(dB) =??(dB)=??(dBm)– X(dBm)-Y(dB) =??(dB)=??(dBm)
– Example:• Input power is 2dBm, system gain is 5dB• What’s the output power? Ans: 7dBm
– Notice: is it dB or dBm?
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Wireless communication systemWireless communication system• Antenna gain
– Transmitter antenna
– Receiver antenna
• Wireless channel attenuation
Gant,txPtx Gant,rxGchannel Prx
• Questions: how do you represent therelationships between Ptx and Prx ?– in dB
– in Watt
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SignalSignal--toto--Noise ratioNoise ratio• S/N
– SNR= signal power(Watt)/noise power(Watt)
– Signal-to-Noise power ratio– Relate to the performance of communications
systems• Bit-error probability
• Shannon capacity
• SNR in dB– S/N(dB)= 10 log10 (S/N power ratio)
– 10 log10 (signal power(Watt)/noise power(Watt))
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Noise, Interference, SNRNoise, Interference, SNR• SNR
– (signal power)/(noise power)
– Noise: thermal noise• SIR
– Signal-to-Interference
• Sometimes known as C/I (carrier-to-interference ratio)– (signal power)/(interference power)
– Interference: signals from other simultaneouscommunications
• SINR– Signal-to-Interference-Plus-Noise ratio
– (signal power)/(interference power+noise power)
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BandwidthBandwidth• B=fupper-flower
• Carrier frequency: fc• Example:
– 802.11 2.4GHz ISM band (channel 1)• fupper=2434MHz• flower=2412MHz• fc=2433MHz
• B=22MHz
frequency
fc fupperflower
B
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Shannon CapacityShannon Capacity• Theoretical (upper) bound of communication
systems
• C=B*log2 (1+S/N)– C: capacity (bits/s)– B: bandwidth (Hz)
– S/N: linear Signal-to-Noise ratio• How to evaluate the performance of a
communication scheme?– How close to Shannon bound?– Spectral efficiency
• bit/s/Hz
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Concepts Related to Channel CapacityConcepts Related to Channel Capacity• Data rate
– rate at which data can be communicated (bps)
• Bandwidth– the bandwidth of the transmitted signal as constrainedby the transmitter and the nature of the transmissionmedium (Hertz)
• Noise– average level of noise over the communications path
• Error rate - rate at which errors occur
– Error• transmit 1 and receive 0• transmit 0 and receive 1
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Shannon Capacity FormulaShannon Capacity Formula• Equation:
• Represents theoretical maximum that can beachieved (in AWGN channel)
• In practice, only much lower rates achieved
– Formula assumes white noise (thermal noise)– Impulse noise is not accounted for
– Attenuation distortion or delay distortion not
accounted for
( )SNR 1log2 += BC
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NyquistNyquist BandwidthBandwidth• For binary signals (two voltage levels)
– C = 2B
• With multilevel signaling– C = 2B log2 M
• M = number of discrete signal or voltage levels
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Example ofExample of NyquistNyquist and Shannonand Shannon
FormulationsFormulations• Spectrum of a channel between 3 MHz and4 MHz ; SNRdB = 24 dB
– What’s the SNR value?
• Using Shannon’s formula– What’s the maximum capacity?
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Example ofExample of NyquistNyquist and Shannonand Shannon
FormulationsFormulations• Spectrum of a channel between 3 MHz and4 MHz ; SNRdB = 24 dB
• Using Shannon’s formula
( )
251SNR
SNR log10dB24SNR
MHz1MHz3MHz4
10dB
=
===−= B
( ) Mbps88102511log10 626=×≈+×=C
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Example ofExample of NyquistNyquist and Shannonand Shannon
FormulationsFormulations• How many signaling levels are required in
modulation?
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Example ofExample of NyquistNyquist and Shannonand Shannon
FormulationsFormulations• How many signaling levels are required?
( )
16log4
log102108
log2
2
2
66
2
==
××=×=
M
M
M BC
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RRadio propagation modeladio propagation model
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Physics: wave propagation
• Reflection - occurs when signal encounters asurface that is large relative to the wavelength of
the signal• Diffraction - occurs at the edge of animpenetrable body that is large compared to
wavelength of radio wave• Scattering – occurs when incoming signal hits an
object whose size in the order of the wavelength
of the signal or less
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RfRf generally propagate according to 4 mechanismsgenerally propagate according to 4 mechanisms
• Reflection at large obstacles: plane waves are incident on a surface
with dimensions that are very large relative compared to the wavelength.• Scattering at small obstacles: occurs when the plane waves are incident
upon an object whose dimensions are on the order of a wavelength or lessand causes energy to be redirected in many directions.
• Diffraction at edges: occurs according to Huygen’s principle when thereis an obstruction between the transmitter and receiver antennas, andsecondary waves are generated behind the obstructing body. As thefrequency gets higher, the rf wave will diffract less and start to behave
like light.• Penetration: In addition to diffraction, penetration of objects will allow
rf reception when there is an obstruction(s) between the transmitterand receiver.
reflection scattering
diffraction
penetration
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• Path loss and shadowing
• Self interference• Multipath [Rayleigh] fading• Delay Spread: Intersymbol interference (I• Doppler Shift [due to motion]
• Noise (SNR)• Other users
• Co-channel interference (CCI)• Adjacent-channel interference (ACI)
• Time & Frequency synchronization
Wireless ChannelWireless Channel
Multipath
Propagation
Path loss
Shadowing Co-channel
interference
Delay spread
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The Effects of Multipath Propagation
• Multiple copies of a signal may arrive atdifferent phases
– If phases add destructively, the signal levelrelative to noise declines, making detectionmore difficult
• Intersymbol interference (ISI)– One or more delayed copies of a pulse mayarrive at the same time as the primary pulsefor a subsequent bit
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Signal Propagation RangesSignal Propagation Ranges
Distance
from
transmitter
sender
transmission
detection
interference
• Transmission range – communication possible
– low error rate• Detection range
– detection of the signalpossible, but communication
may not be possibledue to high error rate
• Interference range – signal may not be
detected
– signal adds to thebackground noise
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Radio Propagation ModelsRadio Propagation Models• Three components
– Path-loss (long-term average)
• Radio signal attenuation due to transmission over acertain distance• Depend on the distance
– Shadowing (large time-scale variation)• Signal attenuation due to penetration of buildings
and walls.• Log-normal distribution
– Fading (small time-scale variation)• Due to multi-path transmission (reflection creates
multiple radio paths)
• Rayleigh distribution, Ricean distribution
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Radio Propagation ModelsRadio Propagation Models• Signal power at receiver
– Path-loss
– Log-normal shadowing– Rayleigh fading
)(d g
RT T R GGPd gP
x
)(10102
α =
10
10
x
2α
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PathPath--lossloss• Path-loss
– Denoted as g(d)– Represent average values (local mean power of area
within several meters)• In general received signal strength is
proportional to d-n
– n: path-loss exponent– k: constant– n=2 ~ 8 in typical propagation scenarios
– n=4 is usually assumed in cellular system study• Example: Free-space model– Pr = (PtGtGrλ
2)/(16π2d2)= (PtGtGr)(λ/4πd)2
– Proportional to d-2
(i.e. n=2)
RT T R GGPd gP )(=
nd d g −∝)(
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Some more pathSome more path--loss modelsloss models• Smooth transition model
• Two-ray-ground model
• Okumura-Hata model• More models in telecom standard evaluation
– E.g. 3GPP, IMT-2000, 802.16, EU WINNERproject
– Common ground to evaluate proposed schemes
– Reflect the radio operation conditions(frequency, terminal speed, urban/rural)
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Smooth transition modelSmooth transition model• Improvement over simple distance-power
relationship
– d-n
– Typically, n is smaller value in near-field and is agreater value in far-field
– Empirical measurement
• Two-stage transition model
( ) 21 1)(n
bd n
d d g−− +=
bd d d gn ≤≤= −
0)( 1
d bbd d d gnn ≤= −− 21 )/()(
model location n1 n2 b(m)
Harley Melbourne 1.5 to 2.5 3 to 5 150
Green London 1.7 to 2.1 2 to 7 200-300
Pickhlotz Orlando 1.3 3.5 90
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TwoTwo--ray modelray model• 2 radio paths
– LOS(line-of-sight)
– NLOS(non-line-of-sight)• Reflection from the ground
• Proof?
– Sum the power of these 2 EM waves
LOS
NLOS
( )4
2
)(
d
hhd g r t =
hthr
d
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OkumuraOkumura--HataHata modelmodel• Model + measurement fit
• For macro-cellular network
– Good fit for distance greater than 1km– 150-1500 MHz
• Practical use in cellular network planning– Extend by COST (European Cooperative forScientific and Technical Research)
• COST-231 model: suitable for urban microcells(1800-2000 MHz)
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HataHata Model for Mean Path LossModel for Mean Path Loss
• Early studies by Hata [IEEE Trans. On VehicularTechnology, Vol. 29 pp245-251, 1980] yieldedempirical path loss models for urban, suburban,
and rural (macrocellular) areas that are accurateto with 1dB for distances ranging from 1 to 20 km.
• The parameters used in the Hata equations and
their range of validity are:– fc = carrier frequency (MHz)
• 150 < fc < 1,500 MHz
– d = distance between base station and mobile (km)• 1 < d < 20 km
– hb and hm = base and mobile antenna heights (m)• 30 < hb < 200m , 1 < hm < 10m
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HataHata Model for Mean Path LossModel for Mean Path Loss – – 22
• Hata’s equations for path loss are classified into three models – Typical Urban
– Typical Suburban (note adding a negative number to the loss means a higher signal level)
– Rural
5.4-)28
log(2)(2
⎥⎦⎤
⎢⎣⎡ ⎟
⎠ ⎞⎜
⎝ ⎛ −= c
urbansuburban
f LdB L
dB 94.40)log(33.18)][log(78.4)( 2 −+−= ccurbanrural f f LdB L
]8.0)log(56.1[]7.0)log(1.1[)(
citiessizemediumand Small
MHz400 97.4)].753.2[log(11
MHz200 1.1)]54.1[log(29.8)(
citiesLarge,,
bygivenisand heightsantennamobilefor factor correction)( where
)(log82.13log)log55.69.44(log16.2655.69)(
2
2
−−−=•
≥−=
≤−=
•
=
−−−++=
cmcm
cm
cmm
mb
m
mbbcurban
f h f h
f h
f hh
kminisd minishand h MHzinis f
h
hhd h f dB L
α
α
α
α
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COST COST --231 path231 path--loss modelloss model• Extend Hata model for PCS radio model in urban
area
dBC
dBC
kminisd minishand h MHzinis f
h
C d hhah f dB L
M
M
mb
m
M bmb
3
citiessizemediumand Small
0citiesLarge
,,
modelHataingivenheightsantennamobilefor factor correction)( where
log]log55.69.44[)(log82.13log9.333.46)(
=
•
=
•
=+−+−−+=
α
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ShadowingShadowing• Shadowing is also known as shadow fading
• Received signal strength fluctuation around
the mean value– Due to radio signal blocking by buildings
(outdoor), walls (indoor), and other obstacles.
• Large time-scale variation– Signal fluctuation is much slower than multi-
path fading
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LogLog--normal distributionnormal distribution• If logarithm of a variable x follows normal
distribution, then x follows log-normal ditribution
• Log-normal distribution for shadowing model• P.d.f
)2
)(lnexp(2
1)( 2σ
μ
σ π
−−
=
x
x x f
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LogLog--normal shadowingnormal shadowing• Path loss component indicates the “expected” signal
attenuation at distance d – The actual signal attenuation at d depends on the environment.
This is modeled with shadowing effect.• Statistical model for shadowing
– Received mean power of the radio signal fluctuates about thearea-mean power with a log-normal distribution
– Log-normal distribution (in Watt)• Normal distribution if measured in dB
• x is a zero-mean Gaussian variable with standard
deviationσ
dB. Typically,σ
= 6~10 dB
dB N S
S dBPdBP R R
10~4),,0(~
)()(
2 =
+=
σ σ RT T R GGPd gP x
)(10102α =
ThreeThree--Part Propagation Model: Path Loss, SlowPart Propagation Model: Path Loss, Slow
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hree Part Propagat on Model Path Loss, Slowp g L ,
Shadow Fading, and Fast Rayleigh FadingShadow Fading, and Fast Rayleigh Fading
10-5
10-6
10-7
10-8
10-9
10-10
10-11
Received Signal Strength[milliwatts]
AveragePath Loss
Separation Distance[kilometers]
Shadow Fading
Average x 10
Relative Signal Level
Average receivedsignal strength
SeparationDistance[meters]
Rayleigh fading about average
Average
Average ÷ 10
Average ÷ 100
Average ÷1000
The effects of path loss, shadow fading and fading are essentially independent
and multiplicative
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Transmission rangeTransmission range
Ideal case With shadowing It might varywith time
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MultiMulti--path fadingpath fading• Multiple radio propagation paths
– Might include LOS path or not
– Multiple copies of received signals• Different time delay
• Different phase
• Different amplitude
• More severe in urban area or indoor• Characterized by
– Rayleigh or Ricean distribution
– Delay spread profile
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Effects of multiEffects of multi--path signalspath signals• Multiple copies of a signal may arrive at
different phases
– If phases add destructively, the signal levelrelative to noise declines, making detectionmore difficult
• Intersymbol interference (ISI)– One or more delayed copies of a pulse may
arrive at the same time as the primary pulse
for a subsequent bit
Multipath PropagationMultipath Propagation
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Multipath PropagationMultipath Propagation
• Signals can take many different paths between sender andreceiver due to reflection, scattering, diffraction
• Positive effects of multipath:– Enables communication even when transmitter and receiver are not in
LOS conditions - allows radio waves effectively to go throughobstacles by getting around them, thereby increasing the radiocoverage area
– By proper processing of the multipath signals, with smart or adaptiveantennas, you can substantially increase the usable received power
• With multiple antennas you capture energy that would otherwisebe absorbed by the atmosphere and you can compensate forfades --- since it is highly unlikely that a signal will experiencesevere fading at more than one antenna
signal at sender
signal at receiver
At receiver antenna: vector sum
N ti ff t f llN ti ff t f ll l f dil f di
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Negative effects of smallNegative effects of small--scale fadingscale fading
• Time dispersion or delay spread: signal is dispersed overtime due signals coming over different paths of differentlengths. This causes interference with “neighboring”
symbols, this is referred to as Inter SymbolInterference (ISI)
• The signal reaches a receiver directly and phase shifted(due to reflections) as a distorted signal depending on the
phases of the different paths; this is referred to asRayleigh fading, due to the distribution of the fades.Rayleigh fading creates fast fluctuations of the received
signal (fast fading).• Random frequency modulation due to Doppler frequencyshifts on the different paths. Doppler shift is caused bythe relative velocity of the receiver to the transmitter,
leads to a frequency variation of the received signal.
l d d h d d hD l d d h b d id h
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Delay spread and coherent bandwidthDelay spread and coherent bandwidth
• Reminder– duality property of signals in time-domain and
frequency domain
• Time domain– multi-path delay spread
• Frequency domain– coherent bandwidth Bc
– Highly correlated signals among these frequencycomponents
time
signalstrength
Power delay profile
Power Delay ProfilePower Delay Profile
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Power Delay ProfilePower Delay Profile• In order to compare different multi-path channels, the
time dispersive power profile is treated as an (non-normalized) pdf from which the following are computed
• Typical values of rms delay spread are on the order ofmicroseconds in outdoor mobile radio channels [GSMspecifies a maximum delay less than 20μs] and on theorder of nanoseconds in indoor radio channels
(2.25) )(:Spread DelayRMSThe
:delaysquareMean, :delayMean
22
2
22
2
2
2
τ τ σ
α
τ α
τ α
τ α
τ
τ −=
==
∑
∑
∑
∑
k
k
k
k k
k
k
k
k k
E l (P d l fil )E l (P d l fil )
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Example (Power delay profile)Example (Power delay profile)
=+++
+++= sμ τ 38.4
]11.01.001.0[
)0)(01.0()2)(1.0()1)(1.0()5)(1( _
=+++
+++
= 2
2222 _ 2
07.21]11.01.001.0[
)0)(01.0()2)(1.0()1)(1.0()5)(1(sμ τ
=−= sμ σ τ
37.1)38.4(07.21 2
0 1 2 5 (µs)-30 dB
-20 dB
-10 dB
0 dB
Pr (τ)
τ
1.37 µs
4.38 µs
Delay spread
Avg delay
R l i h f diR l i h f di
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Rayleigh fadingRayleigh fading• “Amplitude” follows Rayleigh
distribution
• How to derive it?– Add several scaled and delayedversions of a sinusoid function
22 2/
2)( σ α
σ
α α −= e p R
RT T R GGPd gP x
)(10102α =
Ricean FadingRicean Fading
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F gg• Some types of scattering environments have a LOS component (in addition to
the scattered components) ---typically in microcellular and satellite systems.This dominant path may significantly decrease the depth of fading, and inthis case g I (t) and g Q (t) are Gaussian random processes with non-zero meansm I (t) and m Q (t). We can assume that these processes are uncorrelated andthe random variables g I (t) and g Q (t) have the same variance,σ, then the
received complex envelope has the Ricean distribution
• The Rice factor, K, is defined as the ratio of the specular (LoS) power to thescattered power
2
1)(
bydefined is )( kind firsttheof functionBesselorder zerotheand )()( where
0 )()(
2
0
cos
0
0
222
202
)(
2
2
22
∫−
+−
=
+=
≥=
π
θ
σ
θ π
σ σ
d e x I
x I t mt ms
x xs
I e x
x p
x
Q I
s x
r
( )
2 pathsscattered in the power
pathspecular dominantin the power 2
2
σ
sK ==
Ricean FadingRicean Fading
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gg• When K=0, the channel exhibits Rayleigh fading and for K
there is no fading and the channel is Gaussian.• Most channels can be characterized as either Rayleigh, Rician, or
Gaussian --- with Rician being the most general case ---the Rician pdfis shown below.
∞→
Rician Fading Profiles for a Mobile at 90Rician Fading Profiles for a Mobile at 90
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gKm/HrKm/Hr
10
0
-10
-20
-30
-40
100
-10
-20
-30
-40
10
0-10
-20
10
0
-10
-20
10
0
-10
-20
A m p l i
t u d e ( d B )
K = 0, 4, 8, 16, and 32
(a)
(b)
(c)
(d)
(e)
~Rayleigh
~Gaussian
time
Doppler ShiftDoppler Shift
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pppp•
The motion of the mobile introduces a Doppler (orfrequency) shift into the incident plane wave and isgiven by – f D = f m cos θn Hz –
where f m = v/ λ
is the maximum Doppler shift that occurswhenθ = 0. Waves arriving from the direction of motion willexperience a positive shift, while those arriving from theopposite direction will experience a negative shift.
vθ
Doppler Shift SpectrumDoppler Shift Spectrum
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• For isotropic 2-dimensional scattering andisotropic scattering
• The power spectrum of the received signal is
limited in range to f m about the carrierfrequency)
1
1
4)(
2mc
m
cm
f f f
f
f f f
A f S ≤−
⎟⎟ ⎠
⎞⎜⎜⎝
⎛ −−
=π
S(ƒ)
ƒc – f m ƒc ƒc + f m
frequency
Effect of Doppler ShiftEffect of Doppler Shift
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Effect of Doppler ShiftEffect of Doppler Shift
• Time-frequency duality– The Doppler effect produces frequency dispersion (an
increase in the bandwidth occupancy)
– This is equivalent to time-selective fading in thereceived signal
• Coherence Time– Doppler frequency shift (frequency domain) could be
represented as coherence time (time domain) Tc
– Represent the time duration that channel is stable
– If symbol time is smaller than Tc, it is called slowfading. Otherwise it is fast fading.
Mitigate Doppler shiftMitigate Doppler shift
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Mitigate Doppler shiftMitigate Doppler shift• If the baseband signal bandwidth is much
greater than the maximum Doppler shift,
then the effects of Doppler spread arenegligible at the receiver.– To minimize the effect of Doppler, we should
use as wide a baseband signal as feasible [e.g.spread spectrum]
Types of fadingTypes of fading
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• Summary: Fading (based on multipath time delay spread)– Signal is correlated or not (time)– Channel frequency response depends on frequency or not (frequency)1. Flat Fading
• BW of signal < BW of channel
• Delay spread < Symbol period2. Frequency Selective (non-flat) Fading
• BW of signal > BW of channel• Delay spread > symbol period
• Summary: Fading (based on Doppler spread)– Channel varies faster or slower than signal symbol (time)– High or low frequency dispersion (frequency)1. Slow Fading
• Low Doppler spread
• Coherence time > Symbol period• Channel variations slower than baseband signal variations
2. Fast Fading• High Doppler spread• Coherence time < symbol period (time selective fading)
• Channel variations faster than baseband signal variations
Small scale fadingSmall scale fading
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Small scale fadingSmall scale fading
Multi path time delay
Doppler spread
Flat fading BC
BS
Frequency selective fading BC
BS
TC
TSSlow fading
Fast fading TC
TS
fading
Summary of radio propagation and mitigationsSummary of radio propagation and mitigations
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• Shadowing– Problem: received signal strength– Mitigation:
• increase transmit power• Reduce cell size
• Fast fading– Problem: error rate (BER, FER, PER)– Mitigation:
• Interleaving• Error correction coding• Frequency hopping• Diversity techniques
• Delay spread– Problem: ISI and error rates
– Mitigation:• Equalization• Spread spectrum• OFDM• Directional antenna
How to create propagation models?How to create propagation models?
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How to create propagation models?How to create propagation models?• General ray-tracing method (simulation)
– 3D building database with topography
– Multiple ray-tracing with propagation effects(reflection, diffraction, LOS path, scattering,etc)
– Might consider building material (steel,concrete, brick,etc)
• Empirical method– On-site measurement
– Curve-fitting
– Could be combined with ray-tracing method
Review question?Review question?
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Review question?Review question?• In which case do you expect better
propagation condition?
– Indoor or outdoor– With LOS or NLOS
– Fixed or mobile user
WhatWhat’’s your propagation environment?s your propagation environment?
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WhatWhat s your propagation environment?s your propagation environment?
• Surroundings– Indoor, outdoor, street, open-area
• LOS or NLOS– Line-of-sight or not?
• Design choices?
– Coding, modulation– Re-transmission (ARQ-Automatic Repeat-reQuest)
– QoS requirement (at different layers)• Data rate requirement
• BER (bit-error-rate)
• FER (frame-error-rate)– Depend on BER and frame size
Diversity techniqueDiversity technique
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Diversity techniqueDiversity technique• Diversity techniques improve the system
performance with multi-path signals– Not just avoid multi-path condition, but take advantage
of it• Applicable in several aspects
– Time diversity
– Frequency diversity– Spatial diversity
• Examples
– Linear combining• Sum of all received signals at each branch
– Maximal-ratio combining• Weighted sum (weight is proportional to the received signal
strength at each branch)
Types of Diversity used for CombatingTypes of Diversity used for CombatingM lti th F diM ltip th F din
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Multipath FadingMultipath Fading
Type Technique applied
SpaceReceiving antennas sufficientlyseparated for independent fading.
Time Send sequential time samples[interleaving]. Equalization
Frequency Transmit using different carrier
frequencies separated by frequenciesgreater than the coherence bandwidthfor independent fading; or by widebandspread spectrum transmission.
Polarization
Transmit using two orthogonalpolarizations for independent fading
Review: types of fadingReview: types of fading
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Review types of fadingw typ s of fa ng• What are the definitions of the following
terms?
– Fast fading– Slow fading
– Flat fading
– Selective fading– Rayleigh fading
– Rician fading
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CrossCross--Layer Design andLayer Design andOptimizationOptimization
Radio Propagation ModelRadio Propagation Model
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p gp g• Understand wireless PHY property is the
first step to conduct cross-layer design andengineering– Channel property affects communication system
performance significantly– Cross-layer design could be optimized according
to the radio propagation model• Indoor V.S. outdoor• LOS V.S. NLOS
• Speed (static, low-speed, high-speed)Æ Dopplershift
– Example: wireless communications over high-speed trains ischallenging
Abstract ModelAbstract Model
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• Abstract model is helpful in cross-layerdesign
– Sophisticated model could be too complex– Difficult to provide design insight
• Radio propagation modelÆ channel state
varies– Markov Chain model
– Simple example: 2-state Markov chain• Good state and bad state
• Gilbert/Elliot model