Small-Scale Fading
PROF. MICHAEL TSAI
2017/10/30
Multipath Propagation
2
RX just sums up all Multi Path Component (MPC).Multipath Channel Impulse Response
t0
t
t
0t
1t
2t
3t
4t
5t
6 t(t0)
h
b(t,t)
An example of the time-varying discrete-time impulse response for a multipath radio channel
The channel impulse response when 𝑡 = 𝑡# (what you receive at the receiver when you send an impulse at time 𝑡#)
𝜏# = 0, and represents the time the first signal arrives at the receiver.
Summed signal of all multipath components arriving at 𝜏'~𝜏')*.
Excess delay: the delay with respect to the first arriving signal (𝜏)
Maximum excess delay: the delay of latest arriving signal
Time-Variant Multipath Channel Impulse Response
4
t
t0
t
0t
1t
2t
3t
4t
5t
6 t(t0) t(t1) t1
t2
t(t2) t3
t(t3)
h
b(t,t)
Because the transmitter, the receiver, or the reflectors are moving, the impulse response is time-variant.
• The channels impulse response is given by:
• If assumed time-invariant (over a small-scale time or distance):
Multipath Channel Impulse Response
( ) å
-( ) [ { ( ) } ] ( )
=
- +
-
=
10
) ( ,
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exp ,
,
Ni
i i
i c i
b
t a t j f t t t t
h t t p t f t d t
( ) å
-[ ] ( )
=
- -
=
10
exp
N i
i i
i
b
a j
h t q d t t
Phase change due to different arriving time Additional phase change due to reflections
Amplitude change (mainly path loss) Summation over all MPC
6
t
t0
t
0t
1t
2t
3t
4t
5t
6 t(t0) t(t1) t1
t2
t(t2) t3
t(t3)
h
b(t,t)
Following this axis, we study how “spread-out” the impulse response are.
(related to the physical layout of the TX, the RX, and the reflectors at a single time point)
Two main aspects
of the wireless
channel
7
t
t0
t
0t
1t
2t
3t
4t
5t
6 t(t0) t(t1) t1
t2
t(t2) t3
t(t3)
h
b(t,t)
Following this axis, we study how “spread-out” the impulse response are.
(related to the physical layout of the TX, the RX, and the reflectors at a single time point)
Two main aspects
of the wireless
channel
Power delay profile
• To predict h
b(t) a probing pulse p(t) is sent s.t.
• Therefore, for small-scale channel modeling, POWER DELAY PROFILE is found by computing the spatial average of |h
B(t;t)|
2over a local area.
8
𝑝 𝑡 ≈ 𝛿(𝑡 − 𝜏)
𝑃 𝑡; 𝜏 ≈ 𝑘 ℎ
5𝑡; 𝜏
6TX 𝑝(𝑡) RX
Average over
several measurements in a local area
Example: power delay profile
9
From a 900 MHz cellular system in San Francisco
Example: power delay profile
10
Inside a grocery store at 4 GHz
Time dispersion parameters
• Power delay profile is a good representation of the average “geometry” of the transmitter, the receiver, and the reflectors.
• To quantify “how spread-out” the arriving signals are, we use time dispersion parameters:
• Maximum excess delay: the excess delay of the latest arriving MPC
• Mean excess delay: the “mean” excess delay of all arriving MPC
• RMS delay spread: the “standard deviation” of the excess delay of all arriving MPC
11
Already talked about this
Time dispersion parameters
• Mean Excess Delay
• RMS Delay Spread
12
å å å
å =
=
k
k k
k k
k k k
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P P a
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) (
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2 2 __
t t t t
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First moment of the power delay profile
å å å
å =
=
k
k k
k k
k k k
k k
P P a
a
) (
)
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22 2 2 __2
t t t t
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2
( t ) t
s
t= -
Second moment of the power delay profile Square root of the second central moment of the power delay
profile
Time dispersion parameters
• Maximum Excess Delay:
•
Original version: the excess delay of the latest arriving MPC
•
In practice: the latest arriving could be smaller than the noise
•
No way to be aware of the “latest”
• Maximum Excess Delay (practical version):
•
The time delay during which multipath energy falls to X dB below the maximum.
• This X dB threshold could affect the values of the time- dispersion parameters
•
Used to differentiate the noise and the MPC
•
Too low: noise is considered to be the MPC
•
Too high: Some MPC is not detected
13
Example: Time dispersion parameters
14
Coherence Bandwidth
• Coherence bandwidth is a statistical measure of the range of frequencies over which the channel can be considered “flat”
à a channel passes all spectral components with
approximately equal gain and linear phase.
Coherence Bandwidth
• Bandwidth over which Frequency Correlation function is above 0.9
• Bandwidth over which Frequency Correlation function is above 0.5
16
s
t50
» 1 B
cs
t5
» 1 B
cThose two are approximations derived from empirical results.
Typical RMS delay spread values
17
Signal Bandwidth &
Coherence Bandwidth
18
f t
Transmitted Signal
𝑇8
𝑇8: symbol period
𝐵8 𝐵8: signal bandwidth
t0
t
0t
1t
2t
3t
4t
5t
6𝑃(𝑡; 𝜏)
𝑇8 ≈ 1 𝐵8
𝐵<
𝜎>
Frequency-selective fading channel
19
𝐵<
𝐵8 f
f
𝐵
8> 𝐵
<TX signal
Channel
RX signal
×
= =∗
t0
t
0t
1t
2t
3t
4t
5t
6𝑃(𝑡; 𝜏)
𝜎>
𝑇8 t
𝑇
8< 𝜎
>These will become inter- symbol interference!
𝑇8
Flat fading channel
𝐵<
f 𝐵8
f
𝐵
8< 𝐵
<TX signal
Channel
RX signal
×
= =∗
𝑇
8> 𝜎
>t0
t
0t
1t
2t
3t
4t
5t
6𝑃(𝑡; 𝜏)
𝜎>
t 𝑇8
𝑇8 No significant ISI
Equalizer 101
• An equalizer is usually used in a frequency-selective fading channel
• When the coherence bandwidth is low, but we need to use high data rate (high signal bandwidth)
• Channel is unknown and time-variant
• Step 1: TX sends a known signal to the receiver
• Step 2: the RX uses the TX signal and RX signal to estimate the channel
• Step 3: TX sends the real data (unknown to the receiver)
• Step 4: the RX uses the estimated channel to process the RX signal
• Step 5: once the channel becomes significantly different from the estimated one, return to step 1.
21
Example
0 1 2 3 4 5 -30dB
-20dB -10dB 0dB
t P(t)
Would this channel be suitable for AMPS or GSM without the use of an equalizer?
P s P
k
k k
k
k
µ
t t t
t 4 . 38
01 . 0 1 . 0 1 . 0 1
) 01 . 0 ( 0 ) 1 . 0 ( 1 ) 1 . 0 ( 2 ) 1 ( 5 )
( ) ( Delay
Excess
Mean
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+ +
+
+ +
= +
=
= å
å
2 2
2 2
2 2
__
2
21 . 07
01 . 0 1 . 0 1 . 0 1
0 ) 01 . 0 ( 1
) 1 . 0 ( 2
) 1 . 0 ( 5
) 1 ( )
( ) ( P s P
k
k k
k
k
µ
t t t
t =
+ +
+
+ +
= +
= å
å
Example
• Therefore:
• Since B
C> 30KHz, AMPS would work without an equalizer.
• GSM requires 200 KHz BW > B
Cà An equalizer would be needed.
µ s t
t
s
t( ) 21 . 07 ( 4 . 38 ) 1 . 37 Spread
Delay
RMS
__ 2 2__2