Short notes about "Multi-user Radio Communications" part 2
1. Short Notes about
“Multiuser Radio Communications”
Part Two
Presented by:
Eng. Mohamed Mohy-El Din Shaheen
E-Mail; mohamedmohy24@gmail.com
Teaching Assistant, Dept. of Electrical and
Computer Engineering,
Higher Technological Institute,
Egypt
5. 8.5- WIRELESS COMMUNICATION
In this section we study “Wireless
Communications”,
Which is synchronous with mobile radio,
Where a radio transmitter or receiver is
capable of being moved as shown in Fig
8.24.
We have two important factors:
1. Median Signal Strength:
Which predicts the minimum power,
Needed to radiate from the transmitter,
To provide an acceptable of coverage
service area.
2. Signal Variability:
Characterizes the fading nature of the
channel.
Fig 8.24 Mobile Radio
Communication [14].
6. 8.5- WIRELESS COMMUNICATION
A model for the Cellular
Radio System is shown in
Fig 8.25.
It consists of an array of
hexagonal cells ,
With a Base Station located
at the center of each cell
Typical cell has a radius 1 to
12 [miles].
The Base Station:
Acts as an interface between
mobile subscriber and
cellular radio system.
Is connected to a switching
center by wire lines.
Fig 8.25 Model of Cellular
Radio [15].
7. 8.5- WIRELESS COMMUNICATION
Mobile Switching Center has two
important roles:
A. Acts as the interface between the
“Cellular Radio System” and the
“Public Switched Telephone
Network”.
B. It performs overall control of the
mobile communication.
“MSC” performs “Hand-Off “operation
as shown in Fig 8.26,
By monitoring (SNR) of a call in
progress as measured in the “Base
Station”.
When the (SNR) falls below a
prescribed threshold,
“MSC” switches the call to another
“Base Station”.
Fig 8.26 Hand-Off Operation [16].
8. 8.5- WIRELESS COMMUNICATION
The Cellular Concept relies on Two
Essential Features;
1. Frequency Reuse
Is the use of Radio channels on the
same carrier frequency ,
To cover different areas,
Which are physically separated from
each other,
To prevent “Co-Channel Interference”
as shown in Fig 8.27.
Frequency Reuse Objectives:
Keep the transmitted power from
each Base Station to a minimum.
Position the antennas of the Base
stations just high enough to provide
for the area coverage of the
respective cells.
Fig 8.27 Frequency Reuse
Concept [17].
9. 8.5- WIRELESS COMMUNICATION
2. Cell Splitting:
Is used to handle the additional
growth in traffic within the particular
cell.
A single cell can contain a number
of microcells as shown in Fig 8.28,
Which have a smaller radius than
the original cells,
The new Base stations have lower
transmitted power and antenna
height.
And the same set of frequencies
are used with a new plan.
Fig 8.28 Cell Splitting Concept [18].
10. 8.5- WIRELESS COMMUNICATION
Locating CO-Channel
Cells
To find the nearest CO-Channel
neighbors,
Do the following;
a) Move 𝑖 = 2 cells in the 𝑈
direction.
b) Turn 600
counterclockwise
and move 𝑗 = 1 cells in the
𝑉 direction as shown in Fig
8.29.
In North America the band of
cellular system is (800-900)
MHz.
This high frequency band
provides,
A good portable coverage by
penetrating buildings.
Fig 8.29 Illustrating the
Determination of CO-Channel
Cells [19].
11. 8.5- WIRELESS COMMUNICATION
8.5.1 Propagation Effects.
Fig 8.30: A signal from a base station can
travel either by a line-of- sight path (LOS) or
by non-line-of-sight (NLOS) paths [20].
One of Propagation problems
in built-up areas is;
There is no line of sight path
to the Base Station.
Radio propagation takes
place by way of scattering,
From the surfaces of the
surrounding buildings as
shown in Fig 8.30.
12. 8.5- WIRELESS COMMUNICATION
8.5.1 Propagation Effects.
Multipath Phenomenon:
Means that the various incoming radio
waves reach their destination,
From different directions and with
different time delays.
Consider a static multipath
environment;
Involving a stationary receiver and a
transmitted sinusoidal carrier signal.
The effect of the different time delay,
Is to introduce a relative phase shift
between the two components of the
received signal.
If the phase shift is zero, then the two
components add constructively as in
Fig 8.31.
If the phase shift is 180 degrees, then
the two components add destructively
Fig 8.31 Constructive and
Destructive forms of Multipath
Phenomenon for Sinusoidal
Signals[21].
13. 8.5- WIRELESS COMMUNICATION
8.5.1 Propagation Effects.
We may use “Phasors” to
demonstrate,
The Constructive effects of
Multipath as shown in Fig
8. 32 a.
And the Destructive effects
of Multipath as shown in
Fig 8.32 b.
(a) (b
)Fig 8.32 Phasor Representations of (a)
Constructive and (b) Destructive Forms of
14. 8.5- WIRELESS COMMUNICATION
8.5.1 Propagation Effects.
Consider a dynamic
multipath environment,
In which the receiver is in
motion,
The direct transmission
signal and the reflected
signal ,
Reach the receiver via paths
of different lengths.
Due to the motion of the
receiver,
There is a continuous
change in the length of,
Each propagation path.
Hence, the Phase Shift
between the direct
transmission signal and the
reflected signal,
Is a function of spatial
Signal Fading:
Fig 8.33 shows that, there is,
Constructive Addition at some locations.
And almost complete cancellation at some
other locations
Fig 8.33 Illustrating how the Envelope Fades as Two
Incoming Signals Combine with Different Phases.
15. 8.5- WIRELESS COMMUNICATION
8.5.1 Propagation Effects.
Fig 8.34 displays the
Fading nature of the
Received Signal.
The received signal
Envelope is measured in
𝑑𝐵𝑚 .
The unit 𝑑𝐵𝑚 is
defined as;
10 𝑙𝑜𝑔10
𝑃
𝑃𝑜
Where;
𝑃 denotes the power
being measured.
𝑃𝑜 = 1 𝑚𝑖𝑙𝑖𝑤𝑎𝑡𝑡 . Fig 8.34 Experimental Record of Received
Signal Envelope in an Urban Area.
16. 8.5- WIRELESS COMMUNICATION
8.5.1 Propagation Effects.
Fig 8.35 Illustration the Calculation
of Doppler Shift [22].
Consider the situation in Fig 8.35;
The receiver is moving along the line
𝑿𝒀 .
With a velocity 𝒗 .
The received signal is due to a radio
wave from a scatter 𝑺 .
We may write the following equation;
Where;
∆𝑙 is the incremental change in the
path length of the radio wave.
𝑑 is movement of the receiver from
point 𝑋 to point 𝑌 .
𝛼 is the spatial angle between the
incoming radio wave and the direction
of motion of the receiver.
∆𝒍 = 𝒅 𝐜𝐨𝐬 𝜶
= −𝒗 ∆𝒕 cos 𝜶
(8.34)
𝑣 is constant velocity.
∆𝑡 is time taken for the receiver to
move from point 𝑋 to point 𝑌 .
17. 8.5- WIRELESS COMMUNICATION
8.5.1. Propagation Effects
We may write the following equation;
Where;
∆∅ is the change in the phase angle
of the received signal at point 𝑌 with
respect to that at point 𝑋 .
𝜆 is the radio wavelength.
∆𝑙 is the incremental change in the
path length of the radio wave.
𝑣 is constant velocity.
∆𝑡 is time taken for the receiver to
move from point (𝑋) to point (𝑌).
∆∅ =
𝟐𝝅
𝝀
∆𝒍
= −
𝟐𝝅𝒗 ∆𝒕
𝝀
cos 𝜶
(8.35)
𝛼 is the spatial angle
between the incoming radio
wave and the direction of
motion of the receiver.
18. 8.5- WIRELESS COMMUNICATION
8.5.1. Propagation Effects
Then we can write the following
equation:
Where;
𝑉 is the Doppler Shift or the
Apparent Change in Frequency as
shown in Fig 8.36.
∆𝜙 is the change in the phase
angle of the received signal at point (
𝑌) with respect to that at point (𝑋).
∆𝑡 is time taken for the receiver to
move from point (𝑋) to point (𝑌).
𝑣 is constant velocity.
𝜆 is the radio wavelength.
𝑽 = −
𝟏
𝟐𝝅
∆∅
∆𝒕
=
𝒗
𝝀
𝐜𝐨𝐬 𝜶
(8.36)
𝛼 is the spatial angle between
the incoming radio wave and
the direction of motion of the
receiver.
Note:
The Doppler Shift is positive,
When the radio waves arrives
from a head of the mobile unit.
The Doppler Shift is negative,
When the radio waves arrives
from behind the mobile unit.
Fig 8.36 Doppler Shift Concept [23].
20. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
We present a statistical characterization of a mobile
radio channel.
Consider a mobile radio channel with multiple
propagation paths, then we can write;
Where;
𝑠 𝑡 is the Transmitted Band-Pass Signal.
𝑠∼
𝑡 is The Complex Envelope of 𝑠 𝑡 .
𝑓𝑐 is a Nominal Carrier Frequency.
𝒔 𝒕 = 𝑹𝒆 𝒔∼
𝒕 𝒆𝒙𝒑 𝒋𝟐𝝅𝒇 𝒄 𝒕 (8.37)
21. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
The channel is time varying,
Due to Multipath effects as shown in
Fig 8.37.
The Impulse response of the channel is
delay dependent, then we can write;
Where;
ℎ 𝜏; 𝑡 is The Impulse Response of
the Channel.
ℎ∼
𝜏, 𝑡 is The Complex Impulse
Response of the Channel and is called
“The Input Delay Spread Function of
the Channel”.
𝜏 is Delay Variable.
𝑓𝑐 is a Nominal Carrier Frequency.
𝒉 𝝉; 𝒕 = 𝑹𝒆 𝒉∼ 𝝉; 𝒕 𝒆𝒙𝒑 𝒋𝟐𝝅𝒇 𝒄 𝒕 (8.38)
Fig 8.37 Channel Impulse Response
[24]
The Filtering Nature of the Channel is
caused by;
The Summation of Amplitudes and Delays
of the Multiple Arriving Waves at any
Instant of Time.
22. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
We may use the Convolution Integral as follows;
Where;
𝑡 is The Complex Envelope of the Channel Output.
𝒔∼
𝒕 =
𝟏
𝟐 −∞
∞
𝒔~
𝒕 − 𝝉 𝒉∼
𝝉; 𝒕 𝒅𝝉 (8.39)
1
2
is the result of using Complex Notation.
𝑠∼ 𝑡 is The Complex Envelope of (𝑠(𝑡) Transmitted Band-Pass Signal.).
𝑠~
𝑡 − 𝜏 is The Complex Envelope of (𝑠(𝑡) Transmitted Band-Pass Signal.)
but at Convolution Integral.
ℎ~ 𝜏, 𝑡 is The Complex Impulse Response of the Channel and is called
“The Input Delay Spread Function of the Channel”.
𝜏 is Delay Variable.
23. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
We can write the following equation;
Where;
𝐻∼
𝑓, 𝑡 is Time Varying Transfer
Function of the Channel.
ℎ~
𝜏; 𝑡 is The Complex Impulse
Response of the Channel and is
called “The Input Delay Spread
Function of the Channel”.
𝑓 is Frequency Variable.
𝜏 is Delay Variable.
Note:
Transfer Function as shown in Fig
8.38:
Phase Vs. Frequency and,
Magnitude Vs. Frequency.
𝑯∼
𝒇; 𝒕 =
−∞
∞
𝒉~
𝝉; 𝒕 𝒆𝒙𝒑 −𝒋𝟐𝝅𝒇𝝉 𝒅𝝉 (8.40)
Fig 8.38 Transfer Function and
Impulse Response [25].
24. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
We can write the following equation;
Where;
𝜏1, 𝑡1; 𝜏2, 𝑡2 is the Definition for the Autocorrelation Function.
𝑹 𝒉~ 𝝉 𝟏, 𝒕 𝟏; 𝝉 𝟐, 𝒕 𝟐 = 𝑬 𝒉~∗ 𝝉 𝟏; 𝒕 𝟏 𝒉~ 𝝉 𝟐, 𝒕 𝟐 (8.41)
𝜏1 is Propagation Delay of the 1st Path involved in the
Calculation.
𝜏2 is Propagation Delay of the 2nd Path involved in the
Calculation.
𝑡1 time at which the output of the 1st Path is observed.
𝑡2 time at which the output of the 2nd Path is observed.
𝐸 is Statistical Expectation Operator.
ℎ~
𝜏1, 𝑡1 is The Complex Impulse Response of the Channel
and is called “The Input Delay Spread Function of the Channel”.
ℎ∼∗ 𝜏2, 𝑡2 is the Complex Conjugation of “The Input Delay
Spread Function of the Channel”.
25. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
Invoking:
Stationary in time variable 𝑡 .
And uncorrelated scattering in time variable delay 𝜏 .
Thus, we may reformulate equation (8.41) to be;
Where;
𝜏1, 𝜏2; Δ𝑡 is the Definition for the Autocorrelation Function.
𝜏1 is Propagation Delay of the 1st Path involved in the Calculation.
𝜏2 is Propagation Delay of the 2nd Path involved in the Calculation.
Δ𝑡 is Difference between the observation times 𝑡1 𝑎𝑛𝑑 𝑡2 .
𝐸 is Statistical Expectation Operator.
ℎ~
𝜏2, 𝑡 + ∆𝑡 is The Complex Impulse Response of the Channel and is called
“The Input Delay Spread Function of the Channel”.
ℎ~∗ 𝜏1; 𝑡 is the Complex Conjugation of “The Input Delay Spread Function of
the Channel”.
𝛿 𝜏1 − 𝜏2 is a Delta Function.
𝜏1, Δ𝑡 is the Multipath Autocorrelation Profile of the Channel.
𝝉 𝟏, 𝝉 𝟐; 𝜟𝒕 = 𝑬 𝒉~∗ 𝝉 𝟏; 𝒕 𝒉∼ 𝝉 𝟐; 𝒕 + ∆𝒕
= 𝝉 𝟏; ∆𝒕 𝜹 𝝉 𝟏 − 𝝉 𝟐
(8.42)
26. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
Using 𝜏 in place of 𝜏1 ,
The remaining function in equation (8.42) is redefined as:
Where;
𝜏; Δ𝑡 is the Multipath Autocorrelation Profile of the Channel.
𝜏 is time variable delay.
Δ𝑡 is Difference between the observation times 𝑡1 𝑎𝑛𝑑 𝑡2 .
𝐸 is Statistical Expectation Operator.
ℎ~
𝜏; 𝑡 is The Complex Impulse Response of the Channel and is
called “The Input Delay Spread Function of the Channel”.
ℎ∼∗ 𝜏; 𝑡 + Δ𝑡 is the Complex Conjugation of “The Input Delay Spread
Function of the Channel”.
𝒓 𝒉~ 𝝉; 𝜟𝒕 = 𝑬 𝒉∼ 𝝉; 𝒕 𝒉∼∗ 𝝉; 𝒕 + 𝚫𝒕 (8.43)
27. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
The Autocorrelation Function is
shown in Fig 8.39 of 𝐻~ 𝑓; 𝑡 is
defined by;
Where:
𝑅 𝐻~ 𝑓1, 𝑡1; 𝑓2, 𝑡2 is The
Autocorrelation Function.
𝑓1, 𝑓2 are Two Frequencies in
The Spectrum of a Transmitted
Signal.
𝑡1 time at which the output of the
1st Path is observed.
𝑡2 time at which the output of the
2nd Path is observed.
𝐻~ 𝑓2; 𝑡2 is Time Varying
Transfer Function.
𝐻~∗ 𝑓1; 𝑡1 is the Complex
Conjugation of Time Varying
Transfer Function.
𝑹 𝑯∼ 𝒇 𝟏, 𝒕 𝟏; 𝒇 𝟐, 𝒕 𝟐 = 𝑬 𝑯~∗ 𝒇 𝟏; 𝒕 𝟏 𝑯~ 𝒇 𝟐; 𝒕 𝟐 (8.44)
Fig 8.39 Convolution, Cross-
Correlation and Autocorrelation
28. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
We find that The Autocorrelation Functions;
𝑅 𝐻~ 𝑓1, 𝑡1; 𝑓2, 𝑡2 and 𝑅ℎ~ 𝜏1, 𝑡1; 𝜏2, 𝑡2 ,
Are Related by a form of Two Dimensional Fourier Transformation,
As Follows:
Where;
𝑅 𝐻∼ 𝑓1, 𝑡1; 𝑓2, 𝑡2 and 𝑅ℎ∼ 𝜏1, 𝑡1; 𝜏2, 𝑡2 are The Autocorrelation
Functions.
𝑓1, 𝑓2 are Two Frequencies in The Spectrum of a Transmitted Signal.
𝑡1 time at which the output of the 1st Path is observed.
𝑡2 time at which the output of the 2nd Path is observed.
𝜏1 is Propagation Delay of the 1st Path involved in the Calculation.
𝜏2 is Propagation Delay of the 2nd Path involved in the Calculation.
𝑹 𝑯∼ 𝒇 𝟏, 𝒕 𝟏; 𝒇 𝟐, 𝒕 𝟐 =
−∞
∞
𝑹 𝒉~ 𝝉 𝟏, 𝒕 𝟏; 𝝉 𝟐, 𝒕 𝟐 𝒆𝒙𝒑 𝒋𝟐𝝅 𝒇 𝟏 𝝉 𝟏 − 𝒇 𝟐 𝝉 𝟐 𝒅𝝉 𝟏 𝒅𝝉 𝟐 (8.45)
29. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
Invoking Stationary in The Time Domain,
We may Reformulate Equation (8.44) as:
Where;
𝑅 𝐻~ 𝑓1, 𝑓2; ∆𝑡 is The Autocorrelation Function.
𝑓1, 𝑓2 are Two Frequencies in The Spectrum of a Transmitted
Signal.
∆𝑡 is Difference between the observation times 𝑡1 𝑎𝑛𝑑 𝑡2 .
𝐸 is Statistical Expectation Operator.
𝐻~
𝑓2; 𝑡 + ∆𝑡 is Time Varying Transfer Function.
𝐻~∗ 𝑓1; 𝑡 is the Complex Conjugation of Time Varying Transfer
Function.
𝑹 𝑯∼ 𝒇 𝟏, 𝒇 𝟐; ∆𝒕 = 𝑬 𝑯∼∗ 𝒇 𝟏; 𝒕 𝑯∼ 𝒇 𝟐; 𝒕 + ∆𝒕 (8.46)
30. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
If we assume stationary in Frequency Domain;
We may write;
Where;
𝑅 𝐻~ 𝑓, 𝑓 + ∆𝑓; ∆𝑡 is The Autocorrelation Function.
𝑓 is any Frequency in The Spectrum of a Transmitted Signal.
∆𝑓 is Difference between 𝑓1 𝑎𝑛𝑑 𝑓2 .
∆𝑡 is Difference between the observation times 𝑡1 𝑎𝑛𝑑 𝑡2 .
𝑟 𝐻~ ∆𝑓; ∆𝑡 is Spaced Frequency Spaced Time Correlation Function of the
Channel.
𝐸 is Statistical Expectation Operator.
𝐻~ 𝑓 + ∆𝑓; 𝑡 + ∆𝑡 is Time Varying Transfer Function.
𝐻~∗ 𝑓; 𝑡 is the Complex Conjugation of Time Varying Transfer Function.
𝑹 𝑯~ 𝒇, 𝒇 + ∆𝒇; ∆𝒕 = 𝒓 𝑯~ ∆𝒇; ∆𝒕
= 𝑬 𝑯~∗ 𝒇; 𝒕 𝑯~ 𝒇 + ∆𝒇; 𝒕
(8.47)
31. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
Spaced Frequency Spaced Time Correlation Function of the Channel;
Can be expressed as follows;
Where;
𝑟 𝐻~ ∆𝑓; ∆𝑡 is Spaced Frequency Spaced Time Correlation Function of the
Channel.
∆𝑓 is Difference between 𝑓1 𝑎𝑛𝑑 𝑓2 .
∆𝑡 is Difference between the observation times 𝑡1 𝑎𝑛𝑑 𝑡2 .
𝑟ℎ~ 𝜏; Δ𝑡 is the Multipath Autocorrelation Profile of the Channel.
𝜏 is time variable delay.
𝒓 𝑯~ ∆𝒇; ∆𝒕 =
−∞
∞
𝒓 𝒉~ 𝝉; 𝚫𝒕 𝒆𝒙𝒑 −𝒋𝟐𝝅𝝉 𝚫𝒇 𝒅𝝉 (8.48)
32. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
We introduce a function 𝑆 𝜏, 𝑉
as follows;
Where;
𝑆 𝜏, 𝑉 is Scattering Function.
𝜏 is time variable delay.
𝑉 is the Doppler Shift or the
Apparent Change in Frequency.
𝑟ℎ∼ 𝜏; Δ𝑡 is the Multipath
Autocorrelation Profile of the
Channel.
Δ𝑡 is Difference between the
observation times 𝑡1 𝑎𝑛𝑑 𝑡2 .
Scattering Environment as shown
in Fig 8.40 is defined by;
Angles of Arrival.
Excess delays in each path.
Power of each path.
𝑺 𝝉, 𝑽 =
−∞
∞
𝒓 𝒉~ 𝝉; 𝚫𝒕 𝒆𝒙𝒑 −𝒋𝟐𝝅𝑽 𝚫𝒕 𝒅 𝚫𝒕 (8.49)
Fig 8.40 Scattering Environment
[27].
33. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
We may write the following equation:
Where:
𝑟ℎ~ 𝜏; Δ𝑡 is the Multipath Autocorrelation Profile of the Channel.
𝜏 is time variable delay.
∆𝑡 is Difference between the observation times 𝑡1 𝑎𝑛𝑑 𝑡2 .
𝑆 𝜏; 𝑉 is Scattering Function.
𝑉 is the Doppler Shift or the Apparent Change in Frequency.
𝒓 𝒉∼ 𝝉; 𝚫𝒕 =
−∞
∞
𝑺 𝝉; 𝑽 𝒆𝒙𝒑 𝒋𝟐𝝅 ∆𝒕 𝒅𝑽 (8.50)
34. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
𝑆 𝜏; 𝑉 may be define in terms of 𝑟 𝐻∼ ∆𝑓; ∆𝑡 by;
Applying a Fourier Transform with respect to ∆𝑡 and,
An Inverse Fourier Transform with respect to ∆𝑓 as follows;
Where;
𝑆 𝜏; 𝑉 is Scattering Function.
𝜏 is time variable delay.
𝑉 is the Doppler Shift or the Apparent Change in Frequency.
𝑟 𝐻~ ∆𝑓; ∆𝑡 is Spaced Frequency Spaced Time Correlation Function of the
Channel.
∆𝑓 is Difference between 𝑓1 𝑎𝑛𝑑 𝑓2 .
∆𝑡 is Difference between the observation times 𝑡1 𝑎𝑛𝑑 𝑡2 .
𝑺 𝝉; 𝑽 =
−∞
∞
𝒓 𝑯~ ∆𝒇; ∆𝒕 𝒆𝒙𝒑 −𝒋𝟐𝝅𝑽 ∆𝒕 𝒆𝒙𝒑 𝒋𝟐𝝅𝝉 ∆𝒇 𝒅 ∆𝒕 𝒅 ∆𝒇 (8.51)
35. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
Fig 8.41 displays the
relationships between;
𝑟ℎ~ 𝜏; ∆𝑡 “Multipath
Autocorrelation Profile”,
𝑟 𝐻∼ ∆𝑓; ∆𝑡 “Spaced
Frequency Spaced Time
Correlation Function of
the Channel”,
𝑆 𝜏; 𝑉 “Scattering
Function”.
Fig 8.41 Functional Relationships between
“Multipath Autocorrelation Profile”, “Spaced-
Frequency Spaced-Time Correlation Function”
and “Scattering Function”
36. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
The Function 𝑆 𝜏; 𝑉 is called the “Scattering Function”
of the channel,
Consider the transmission of a single tone 𝑓′
.
Then the Resulting Filter output is:
Where;
𝑠0~ 𝑡 is The Complex Envelope of The Resulting Filter
Output.
𝑓′
is Single Tone of Frequency (Relative to the Carrier).
𝐻~
𝑓′
; 𝑡 is Time Varying Transfer Function.
𝒔 𝟎~ 𝒕 = 𝒆𝒙𝒑 𝒋𝟐𝝅𝒇′ 𝒕 𝑯~ 𝒇′; 𝒕 (8.52)
37. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
The Autocorrelation Function of 𝑠0~ 𝑡 is;
Where;
𝐸 is Statistical Expectation Operator.
𝑠0~ 𝑡 is The Complex Envelope of The Resulting Filter
Output.
𝑠0~∗ 𝑡 is the Complex Conjugation of The Complex
Envelope of The Resulting Filter Output.
∆𝑡 is Difference between the observation times 𝑡1 𝑎𝑛𝑑 𝑡2 .
𝑓′ is Single Tone of Frequency (Relative to the Carrier).
𝐻~
𝑓′
; 𝑡 + ∆𝑡 is Time Varying Transfer Function.
𝐻~∗ 𝑓′; 𝑡 is the Complex Conjugation of Time Varying
Transfer Function.
𝑟 𝐻~ 0; ∆𝑡 is Spaced Frequency Spaced Time Correlation
Function of the Channel.
𝑬 𝒔 𝟎~∗ 𝒕 𝒔 𝟎~ 𝒕 + ∆𝒕 = 𝒆𝒙𝒑 𝒋𝟐𝝅𝒇′
∆𝒕 𝑬 𝑯~∗
𝒇′
; 𝒕 𝑯~
𝒇′
; 𝒕 + ∆𝒕
= 𝒆𝒙𝒑 𝒋𝟐𝝅𝒇′
∆𝒕 𝒓 𝑯~ 𝟎; ∆𝒕
(8.53)
38. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
Putting ∆𝑓 = 0 in Equation (8.48);
Then using Equation (8.50) we may write;
Where;
𝑟 𝐻~ 0; ∆𝑡 is Spaced Frequency Spaced Time Correlation Function of the
Channel.
∆𝑡 is Difference between the observation times 𝑡1 𝑎𝑛𝑑 𝑡2 .
𝜏 is time variable delay.
𝑟ℎ~ 𝜏; ∆𝑡 is Multipath Autocorrelation Profile.
𝑆 𝜏; 𝑉 is Scattering Function.
−∞
∞
𝑆 𝜏; 𝑉 𝑑𝜏 is the Power Spectral Density of the Channel Output (Expressed
as a Function of Time Delay 𝜏 and Doppler Shift 𝑉 .
We can say that “Scattering Function” provides a Statistical Measure of the
𝒓 𝑯~ 𝟎; ∆𝒕 =
−∞
∞
𝒓 𝒉~ 𝝉; ∆𝒕 𝒅𝝉
= −∞
∞
−∞
∞
𝑺 𝝉; 𝑽 𝒅𝝉 𝒆𝒙𝒑 𝒋𝟐𝝅𝑽 ∆𝒕 𝒅𝑽
(8.54)
39. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
8.6.1- Delay Spread and Doppler Spread.
Putting ∆𝑡 = 0 in Equation (8.43),
We may write;
Where;
𝑃ℎ~ 𝜏 is “The Delay Power
Spectrum or The Multipath Intensity
Profile of The Channel”.
𝑟ℎ~ 𝜏; 0 is “The Multipath
Autocorrelation Profile of the
Channel”.
𝐸 is Statistical Expectation
Operator.
ℎ~
𝜏; 𝑡 is “The Complex Impulse
Response of the Channel” and is
called “The Input Delay Spread
Function of the Channel”.
𝑷 𝒉~ 𝝉 = 𝒓 𝒉~ 𝝉; 𝟎 = 𝑬 𝒉~
𝝉; 𝒕 𝟐
(8.55)
40. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
8.6.1- Delay Spread and Doppler
Spread.
Putting ∆𝑡 = 0 in Equation (8.50),
Then using the 1st line of Equation (8.55),
We may write;
𝑷 𝒉~ 𝝉 =
−∞
∞
𝑺 𝝉; 𝑽 𝒅𝑽 (8.56)
Where:
𝑃ℎ~ 𝜏 is “The Delay Power Spectrum or
The Multipath Intensity Profile of The
Channel”.
𝑆 𝜏; 𝑉 is Scattering Function.
𝜏 is time variable delay.
𝑉 Doppler Shift.
Equation (8.56) means that;
The Delay Power Spectrum may be
defined in terms of The Scattering
Function,
41. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
8.6.1- Delay Spread and Doppler Spread.
Fig 8.42 depicts a typical plot,
Of the Power Spectral Density,
Versus Excess Delay.
The Excess Delay is measured
(w.r.t) The Time Delay for the
shortest echo path.
The Power is Measured in dBm.
The “Threshold Level” is shown in
Fig 8.41 ,
Defines The Power Level below
which,
the Receiver Fails to operate
Satisfactory. Fig 8.42 Example of a Power Delay
Profile for a Mobile Radio Channel.
42. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
8.6.1- Delay Spread and Doppler Spread.
The Average Delay is defined as,
The 1st Central Moment,
(The Mean of) 𝑷 𝒉~ 𝝉 as shown by:
𝝉 𝒂𝒗 = 𝟎
∞
𝝉 𝑷 𝒉~ 𝝉 𝒅𝝉
𝟎
∞
𝑷 𝒉~ 𝝉 𝒅𝝉
(8.57)
Where;
𝜏 𝑎𝑣 is “The Average Delay”.
𝜏 is “Time variable delay”.
𝑃ℎ~ 𝜏 is “The Delay Power
Spectrum or The Multipath
Intensity Profile of The
Channel”.
43. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
8.6.1- Delay Spread and Doppler Spread.
The Delay Spread is defined as follows;
𝝈 𝝉 = 𝟎
∞
𝝉 − 𝝉 𝒂𝒗
𝟐 𝑷 𝒉~ 𝝉 𝒅𝝉
𝟎
∞
𝑷 𝒉~ 𝝉 𝒅𝝉
𝟏
𝟐
(8.58)
Where:
𝜎𝜏 is “The Delay Spread”.
𝜏 is “Time variable delay”.
𝜏 𝑎𝑣 is “The Average Delay”.
𝑃ℎ~ 𝜏 is “The Delay Power Spectrum
or The Multipath Intensity Profile of The
Channel”.
Note;
𝐵𝑐 =
1
𝜎 𝜏
𝐵𝑐 is “Coherence Bandwidth of the
Channel”.
Fig 8.43 Delay Spread Concept [28].
As shown at Fig 8.43, Due to Multipath,
each symbol transmitted is received
multiple times at Receiver, creates
“echo” that its duration is “Delay
44. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
8.6.1- Delay Spread and Doppler Spread.
We first set ∆𝑓 = 0 ,
Which corresponds to transmission
of single tone over the channel.
Then we get 𝑟 𝐻~ 0; ∆𝑡 .
Hence, the Fourier Transform of
𝑟 𝐻~ 0; ∆𝑡 as follows;
𝑺 𝑯~ 𝑽 =
−∞
∞
𝒓 𝑯~ 𝟎; ∆𝒕 𝒆𝒙𝒑 −𝒋𝟐𝝅𝑽 ∆𝒕 𝒅 ∆𝒕 (8.59)
Where;
𝑆 𝐻~ 𝑉 is The “Doppler Spectrum of the
Channel”.
𝑟 𝐻~ 0; ∆𝑡 is “Spaced Frequency
Spaced Time Correlation Function of the
Channel”
𝑉 is “Doppler Shift”.
NOTE:
𝑆 𝐻~ 𝑉 defines The
Power Spectrum of the
Channel output,
Expressed as a Function of
the Doppler Shift 𝑉 as
shown in Fig 8.44.
Fig 8.44 Doppler Spectrum of a
Channel Example [29]
45. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
8.6.1- Delay Spread and Doppler Spread.
Doppler Spectrum may also be
defined,
In terms of the Scattering Function,
As follows;
𝑺 𝑯~ 𝑽 =
−∞
∞
𝑺 𝝉; 𝑽 𝒅𝝉 (8.60)
Where;
𝑆 𝐻~ 𝑉 is The “Doppler Spectrum
of the Channel”.
𝑆 𝜏; 𝑉 is “Scattering Function”.
𝑉 is “Doppler Shift”.
𝜏 is “Time variable delay”.
46. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
8.6.1- Delay Spread and Doppler Spread.
The Doppler Spread of the
Channel,
May be defined as follows;
𝝈 𝑽 = −∞
∞
𝑽 𝟐
𝑺 𝑯~ 𝑽 𝒅𝑽
−∞
∞
𝑺 𝑯~ 𝑽 𝒅𝑽
𝟏
𝟐
(8.61)
Where;
𝜎 𝑉 is “Doppler Spread of the
Channel”.
𝑆 𝐻~ 𝑉 is The “Doppler Spectrum of
the Channel”.
𝑉 is “Doppler Shift”.
𝜏 𝑐 is “The Coherence Time of the
Channel”
𝜏 𝑐 is Reciprocal of the Doppler
Spread.
Fig 8.45 Doppler Spread in Multipath
[30]. As shown in Fig 8.45, Due to Multipath, a
single sinusoid by base station is
received as summation of 3 sinusoids
𝑓𝑐 + 𝑓𝑑1 , 𝑓𝑐 + 𝑓𝑑2 𝑎𝑛𝑑 𝑓𝑐 + 𝑓𝑑
47. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
8.6.1- Delay Spread and Doppler Spread.
The Average Fade Rate
is,
Related to Doppler
Spread,
As follows;𝒇 𝒆 = 𝟏. 𝟒𝟕𝟓 𝝈 𝑽 𝑪𝒓𝒐𝒔𝒔𝒊𝒏𝒈𝒔 𝑷𝒆𝒓 𝑺𝒆𝒄𝒐𝒏𝒅 (8.62)
Where:
𝑓𝑒 is “The Fade Rate of The Channel”.
𝜎 𝑉 is “Doppler Spread of the Channel”.
NOTE:
The Fade Rate provides a Measure of the
Rapidity of Fading of the Channel.
Some typical values in a mobile
environment as follows;
𝜎𝜏 = 20𝜇𝑠 .
𝜎 𝑉 = 40 − 80 𝐻𝑧 .
48. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
8.6.2- Classification of Multipath Channels.
The particular form of fading experienced
by,
A Multipath channel depends on whether,
The channel is viewed in,
Frequency Domain or Time Domain
If the channel is viewed in Frequency
Domain,
Then “The Channel’s Coherence
Bandwidth” 𝑩 𝒄 is concerned.
𝑩 𝒄 is a measure of The Transmission
Bandwidth for which Signal Distortion
across the channel becomes noticeable.
Frequency Flat Fading;
Occurs when 𝑩 𝒄 is large compared to the
message bandwidth.
Frequency Flat may be said Frequency
nonselective.
49. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
8.6.2- Classification of Multipath Channels.
Frequency Selective Multipath
Channel,
When 𝑩 𝒄 is small compared to the
bandwidth of the transmitted signal.
If the channel is viewed in Time
Domain,
Then “The Channel’s Coherence Time”
𝝈 𝝉 is concerned.
𝝈 𝝉 is a measure of the Transmitted
Signal Duration for which Signal
Distortion across the channel
becomes noticeable.
Time Selective Fading;
Occurs when 𝝈 𝝉 is small compared
to the Duration of the Received
Signal.
Time Flat Fading;
Occurs when 𝝈 𝝉 is large compared
50. 8.6- STATISTICAL CHARACTERIZATION OF
MULTIPATH CHANNELS
8.6.2- Classification of Multipath Channels.
Figure 8.46 shows The Classification
of Multipath Channels as follows;
1) Flat-Flat Channel;
Means no significant variation in both
Frequency and Time.
2) Frequency Flat Channel;
Means no significant variation in
Frequency only.
3) Time-Flat Channel;
Means no significant variation in Time
only.
4) Non-Flat Channel;
Means there is significant variation in
both Frequency and Time.
The forbidden area shaded in Fig
8.46,
Follows from the inverse between
Bandwidth and Time Duration.
Fig 8.46 The Four Classes of Multipath
Channels.