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1
Wireless Networks
Lecture 2
Introduction to Wireless Communication
Dr. Ghalib A. Shah
2
Outlines
 Review of previous lecture #1
 Wireless Transmission
 Encoding/Modulation
 Noises
 Losses/Gain
 Summary of today’s lecture
3
Last Lecture Review
 Objectives of course
 Course syllabus
 Wireless vision
► Driving factors
• Tetherless connectivity
• VLSI technology
• Success of 2G systems
► Wireless Prons/Cons
► EM Signal
• Time domain concept: analog, digital, periodic, aperiodic,
Amplitude, frequency, period, wavelength
• Frequency domain concept: fundamental frequency, spectrum,
absolute bandwidth, effective bandwidth
• Channel capacity: Nyquist formulation, SNR, Shannon formula
► EM Spectrum
4
Transmission in Wireless Domain
 Baseband Signal
► obtained by converting analog or digital data
into analog or digital signal, bandwidth = [0,
fmax)
 Bandpass Signal
► band-limited signal whose minimum frequency is
different from zero, bandwidth = [f1, f2)
5
Wireless Transmission
 virtually impossible to transmit baseband signals in
wireless domain.
 single transmission medium (air) for all users and
applications.
 in wired networks, new wiring can be added to
accommodate new applications/users – one wire for
telephone, one for cable, one for LAN, etc.
 antenna size must correspond to signal’s wavelength
► 1 MHz signal  few 100 m-s high antenna;
► 1 GHz signal  few cm-s high antenna
 characteristics of wireless-signal propagation heavily
depend on signal’s frequency
 low-frequency signals ‘tilt downwards’ and follow the
Earth’s surface
► do not propagate very far
6
Signal Encoding/Modulation
 We are concerned with transmitting digital data.
 Some transmission media will only propagate
analog signals e.g., optical fiber and unguided
media
 Therefore, we will discuss transmitting digital
data using analog signals.
 The most familiar use of this transformation is
transmitting digital data through the public
telephone network.
7
Encoding
 Each pulse in digital signal is a signal element.
 Binary data are transmitted by encoding each data bit into signal
elements.
 There can be one-to-one correspondence between data elements
and signal elements or one-to-multiple/multiple-to-one
 Data rate: the rate in bits/sec that data are transmitted
 Modulation rate: the rate at which signal element is changed and
is expressed in baud i.e. signal elements/second.
1 0 1 0 1 0
8
Encoding
 The duration or length of bit is the amount of
time it takes for the transmitter to emit the bit.
For data rate R, bit time is 1/R.
 At receiver
► the bit time must be known i.e. start and end time of
bit.
► The encoding must be known i.e. high (1) and low
(0)
► These tasks are performed by sampling each bit
position at middle of interval and comparing the
value to threshold.
9
Carrier and Information Signals
 carrier signal: In radio frequency systems an
analog signal is always used as the main
airborne signal
 Information Signal: On top of this signal
another signal, analog or digital, is added that
carries the information
 Modulation: This combination of signals is
called the modulation
9
10
Modulation
 Modulation is how an information signal is
added to a carrier signal
 This is the superimposing of the information
onto the carrier
 In an RF system a modulator generates this
information signal
 Then it is passed to the transmitter and out the
antenna
10
11
Modulation
 Then at the other end the signal is
demodulated
 The way to think of this is like a letter
► The envelope is the carrier and the letter is the
information
► The envelope is only needed during transmission
 Three types
► AM
► FM
► PM
11
12
Modulation
AM FM
PM
13
Types of Encoding
 There are three forms of Encoding
► ASK – Amplitude-Shift Keying
► FSK – Frequency-Shift Keying
► PSK – Phase-Shift Keying
13
14
Amplitude Shift-Keying (ASK)
 ASK changes the height of the sine wave as
time goes by
 The two binary values are represented by two
different amplitudes of the carrier frequency.
 One binary digit represented by presence of carrier, at
constant amplitude
 Other binary digit represented by absence of carrier
14
15
ASK
 Susceptible to sudden gain changes
 Inefficient modulation technique
 On voice-grade lines, used up to 1200 bps
 Used to transmit digital data over optical fiber
16
Binary Frequency Shift-Keying (BFSK)
 FSK changes the frequency of the sine wave as
time goes by, without changing the height
 Two binary digits represented by two different
frequencies near the carrier frequency
16
17
Binary Frequency-Shift Keying (BFSK)
 Less susceptible to error than ASK
 On voice-grade lines, used up to 1200bps
 Used for high-frequency (3 to 30 MHz) radio
transmission
 Can be used at higher frequencies on LANs
that use coaxial cable
18
Multiple Frequency-Shift Keying (MFSK)
 More than two frequencies are used
 More bandwidth efficient and less susceptible to error
 To match data rate of input bit stream, each output
signal element is held for:
Ts=LT seconds
• where T is the bit period (data rate = 1/T)
f i = f c + (2i – 1 – M)f d
• f c = the carrier frequency
• f d = the difference frequency
• M = number of different signal elements = 2 L
• L = number of bits per signal element
19
Multiple Frequency-Shift Keying (MFSK)
20
Phase-Shift Keying (PSK)
 PSK changes the phase of successive sine
waves
 Two-level PSK (BPSK)
► Uses two phases to represent binary digits
20
 






t
s
 
t
f
A c

2
cos
 

 
t
f
A c
2
cos
1
binary
0
binary






 
t
f
A c

2
cos
 
t
f
A c

2
cos

1
binary
0
binary
21
PSK
 In general when you see phase modulation
schemes explained B stands for binary, which
is only 2 points. Q stands for quadrature,
which is 4 points and 16 and 64 represent the
higher number of points in the modulation
schemes
21
22
PSK
 Every time the number of points is increased
the speed is increased, but interference
tolerance is reduced
 This is one of the reasons for automatic speed
reduction in the face of interference
 Going from binary - 2 to 64 requires a really
clean signal
22
23
Noise
 Noise consists of all undesired radio signals,
whether manmade or natural
 Noise makes the reception of useful
information difficult
 The radio signal’s strength is of little use, if the
noise power is greater than the received signal
power
 This is why the signal to noise ratio is important
23
24
Categories of Noise
 Thermal Noise
 Intermodulation noise
 Crosstalk
 Impulse Noise
25
Thermal Noise
 Thermal noise due to agitation of electrons
 Present in all electronic devices and transmission
media
 Cannot be eliminated
 Function of temperature
 Particularly significant for satellite communication
26
Thermal Noise
 Amount of thermal noise to be found in a
bandwidth of 1Hz in any device or conductor
is:
• N0 = noise power density in watts per 1 Hz of
bandwidth
• k = Boltzmann's constant = 1.3803 ´ 10-23 J/K
• T = temperature, in kelvins (absolute temperature)
 
W/Hz
k
0 T
N 
27
Thermal Noise
 Noise is assumed to be independent of frequency
 Thermal noise present in a bandwidth of B Hertz (in
watts):
or, in decibel-watts
TB
N k

B
T
N log
10
log
10
k
log
10 


B
T log
10
log
10
dBW
6
.
228 



28
Noise Terminology
 Intermodulation noise – occurs if signals with
different frequencies share the same medium
► Interference caused by a signal produced at a frequency
that is the sum or difference of original frequencies
 Crosstalk – unwanted coupling between signal
paths
► Nearby twisted pairs, unwanted signals are picked by
antennas
 Impulse noise – irregular pulses or noise spikes
► Short duration and of relatively high amplitude
► Caused by external electromagnetic disturbances, or
faults and flaws in the communications system
29
Manmade Noise
 Manmade noise is part of modern life
 It is generated almost anywhere that there is
electrical activity, such as automobile ignition
systems, power lines, motors, arc welders,
fluorescent lights, and so on
 Each occurrence is small, but there are so
many that together they can completely hide a
weak signal that would be above the natural
noise in a less populated area
29
30
Natural Noise
 Naturally occurring noise has two main sources
► Atmospheric noise, such as thunderstorms, from 0
to 5 MHz
► Galactic noise, such as stars, at all higher
frequencies
 Both of these sources generate sharp pulses of
electromagnetic energy over all frequencies
 The pulses are propagated according to the
same laws as the desirable signals being
generated by the radio frequency equipment
 The receiving systems must accept them along
with the desired signal
30
31
Noise Remedy
 Increasing receiver amplification cannot
improve the signal to noise ratio since both
signal and noise will be amplified equally and
the ratio will remain the same
31
32
Loss
 All components exhibit one of two properties
► Loss
► or
► Gain
 If the signal coming out is smaller than the
signal going in, it is loss that appears as heat
 Attenuators produce loss
32
33
Attenuation
 Causes of loss or attenuation in RF systems
and the environments through which they
transmit include
► Water, regardless of how it appears or where it is
found including inside connections
► When water is encountered in the air as the signal
passes through, the form of the moisture matters
► At frequencies above 10 GHz attenuation from rain
becomes significant
► When the raindrop’s size matches the wavelength
attenuation occurs
33
34
Attenuation
► Examples of the affect outside include
• Rain causes about .08 dB of loss per mile for 2.4 GHz and
5.8 GHz
• Fog causes about .03 dB per mile for 2.4 GHz
• For 5.8 GHz the loss is about .11 dB per mile
• Ice changes the effective design of an antenna, therefore
changing its performance
34
35
Other Impairments
 Atmospheric absorption – water vapor and oxygen
contribute to attenuation
 Multipath – obstacles reflect signals so that multiple
copies with varying delays are received
 Refraction – bending of radio waves as they
propagate through the atmosphere
36
Gain
 If the signal gets larger before it exits the
device, it is gain
 RF amplifiers produce gain
 Gain is an active process in most cases, in
other words it requires a power source
 Gain can also be the combination of signals
from different directions appearing together,
such as the main signal and a reflected signal
 However, the total gain cannot exceed the
original level transmitted from the antenna in
such a case
36
37
Summary
 Wireless Transmission
► Why baseband signal can not be transmitted?
► Need bandpass signals whose minimum frequency is higher
than 0
► Modulator produces bandpass by superomposing basband
signal over higher frequency signals
• AM, FM, PM
 Digital data analog signals
► Some transmission media like optical fibers and unguided
propagate only analog signals
► For example public telephone network
► Requires data encoding
• ASK, FSK, PSK
38
Summary
 Noises
► Thermal/white noise
► Intermodulation noise
► Crosstalk
► Impulse noise
► Natural noise
• Atmospheric noise like thunderstorms
• Galatic noise such as stars
► Manmade noise
• Ignition systems, power lines, motors arc welders,
flourscent lightd etc
 Attenuation and other impairments

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Wireless Networks - CS718 Power Point Slides Lecture 02.ppt

  • 1. 1 Wireless Networks Lecture 2 Introduction to Wireless Communication Dr. Ghalib A. Shah
  • 2. 2 Outlines  Review of previous lecture #1  Wireless Transmission  Encoding/Modulation  Noises  Losses/Gain  Summary of today’s lecture
  • 3. 3 Last Lecture Review  Objectives of course  Course syllabus  Wireless vision ► Driving factors • Tetherless connectivity • VLSI technology • Success of 2G systems ► Wireless Prons/Cons ► EM Signal • Time domain concept: analog, digital, periodic, aperiodic, Amplitude, frequency, period, wavelength • Frequency domain concept: fundamental frequency, spectrum, absolute bandwidth, effective bandwidth • Channel capacity: Nyquist formulation, SNR, Shannon formula ► EM Spectrum
  • 4. 4 Transmission in Wireless Domain  Baseband Signal ► obtained by converting analog or digital data into analog or digital signal, bandwidth = [0, fmax)  Bandpass Signal ► band-limited signal whose minimum frequency is different from zero, bandwidth = [f1, f2)
  • 5. 5 Wireless Transmission  virtually impossible to transmit baseband signals in wireless domain.  single transmission medium (air) for all users and applications.  in wired networks, new wiring can be added to accommodate new applications/users – one wire for telephone, one for cable, one for LAN, etc.  antenna size must correspond to signal’s wavelength ► 1 MHz signal  few 100 m-s high antenna; ► 1 GHz signal  few cm-s high antenna  characteristics of wireless-signal propagation heavily depend on signal’s frequency  low-frequency signals ‘tilt downwards’ and follow the Earth’s surface ► do not propagate very far
  • 6. 6 Signal Encoding/Modulation  We are concerned with transmitting digital data.  Some transmission media will only propagate analog signals e.g., optical fiber and unguided media  Therefore, we will discuss transmitting digital data using analog signals.  The most familiar use of this transformation is transmitting digital data through the public telephone network.
  • 7. 7 Encoding  Each pulse in digital signal is a signal element.  Binary data are transmitted by encoding each data bit into signal elements.  There can be one-to-one correspondence between data elements and signal elements or one-to-multiple/multiple-to-one  Data rate: the rate in bits/sec that data are transmitted  Modulation rate: the rate at which signal element is changed and is expressed in baud i.e. signal elements/second. 1 0 1 0 1 0
  • 8. 8 Encoding  The duration or length of bit is the amount of time it takes for the transmitter to emit the bit. For data rate R, bit time is 1/R.  At receiver ► the bit time must be known i.e. start and end time of bit. ► The encoding must be known i.e. high (1) and low (0) ► These tasks are performed by sampling each bit position at middle of interval and comparing the value to threshold.
  • 9. 9 Carrier and Information Signals  carrier signal: In radio frequency systems an analog signal is always used as the main airborne signal  Information Signal: On top of this signal another signal, analog or digital, is added that carries the information  Modulation: This combination of signals is called the modulation 9
  • 10. 10 Modulation  Modulation is how an information signal is added to a carrier signal  This is the superimposing of the information onto the carrier  In an RF system a modulator generates this information signal  Then it is passed to the transmitter and out the antenna 10
  • 11. 11 Modulation  Then at the other end the signal is demodulated  The way to think of this is like a letter ► The envelope is the carrier and the letter is the information ► The envelope is only needed during transmission  Three types ► AM ► FM ► PM 11
  • 13. 13 Types of Encoding  There are three forms of Encoding ► ASK – Amplitude-Shift Keying ► FSK – Frequency-Shift Keying ► PSK – Phase-Shift Keying 13
  • 14. 14 Amplitude Shift-Keying (ASK)  ASK changes the height of the sine wave as time goes by  The two binary values are represented by two different amplitudes of the carrier frequency.  One binary digit represented by presence of carrier, at constant amplitude  Other binary digit represented by absence of carrier 14
  • 15. 15 ASK  Susceptible to sudden gain changes  Inefficient modulation technique  On voice-grade lines, used up to 1200 bps  Used to transmit digital data over optical fiber
  • 16. 16 Binary Frequency Shift-Keying (BFSK)  FSK changes the frequency of the sine wave as time goes by, without changing the height  Two binary digits represented by two different frequencies near the carrier frequency 16
  • 17. 17 Binary Frequency-Shift Keying (BFSK)  Less susceptible to error than ASK  On voice-grade lines, used up to 1200bps  Used for high-frequency (3 to 30 MHz) radio transmission  Can be used at higher frequencies on LANs that use coaxial cable
  • 18. 18 Multiple Frequency-Shift Keying (MFSK)  More than two frequencies are used  More bandwidth efficient and less susceptible to error  To match data rate of input bit stream, each output signal element is held for: Ts=LT seconds • where T is the bit period (data rate = 1/T) f i = f c + (2i – 1 – M)f d • f c = the carrier frequency • f d = the difference frequency • M = number of different signal elements = 2 L • L = number of bits per signal element
  • 20. 20 Phase-Shift Keying (PSK)  PSK changes the phase of successive sine waves  Two-level PSK (BPSK) ► Uses two phases to represent binary digits 20         t s   t f A c  2 cos      t f A c 2 cos 1 binary 0 binary         t f A c  2 cos   t f A c  2 cos  1 binary 0 binary
  • 21. 21 PSK  In general when you see phase modulation schemes explained B stands for binary, which is only 2 points. Q stands for quadrature, which is 4 points and 16 and 64 represent the higher number of points in the modulation schemes 21
  • 22. 22 PSK  Every time the number of points is increased the speed is increased, but interference tolerance is reduced  This is one of the reasons for automatic speed reduction in the face of interference  Going from binary - 2 to 64 requires a really clean signal 22
  • 23. 23 Noise  Noise consists of all undesired radio signals, whether manmade or natural  Noise makes the reception of useful information difficult  The radio signal’s strength is of little use, if the noise power is greater than the received signal power  This is why the signal to noise ratio is important 23
  • 24. 24 Categories of Noise  Thermal Noise  Intermodulation noise  Crosstalk  Impulse Noise
  • 25. 25 Thermal Noise  Thermal noise due to agitation of electrons  Present in all electronic devices and transmission media  Cannot be eliminated  Function of temperature  Particularly significant for satellite communication
  • 26. 26 Thermal Noise  Amount of thermal noise to be found in a bandwidth of 1Hz in any device or conductor is: • N0 = noise power density in watts per 1 Hz of bandwidth • k = Boltzmann's constant = 1.3803 ´ 10-23 J/K • T = temperature, in kelvins (absolute temperature)   W/Hz k 0 T N 
  • 27. 27 Thermal Noise  Noise is assumed to be independent of frequency  Thermal noise present in a bandwidth of B Hertz (in watts): or, in decibel-watts TB N k  B T N log 10 log 10 k log 10    B T log 10 log 10 dBW 6 . 228    
  • 28. 28 Noise Terminology  Intermodulation noise – occurs if signals with different frequencies share the same medium ► Interference caused by a signal produced at a frequency that is the sum or difference of original frequencies  Crosstalk – unwanted coupling between signal paths ► Nearby twisted pairs, unwanted signals are picked by antennas  Impulse noise – irregular pulses or noise spikes ► Short duration and of relatively high amplitude ► Caused by external electromagnetic disturbances, or faults and flaws in the communications system
  • 29. 29 Manmade Noise  Manmade noise is part of modern life  It is generated almost anywhere that there is electrical activity, such as automobile ignition systems, power lines, motors, arc welders, fluorescent lights, and so on  Each occurrence is small, but there are so many that together they can completely hide a weak signal that would be above the natural noise in a less populated area 29
  • 30. 30 Natural Noise  Naturally occurring noise has two main sources ► Atmospheric noise, such as thunderstorms, from 0 to 5 MHz ► Galactic noise, such as stars, at all higher frequencies  Both of these sources generate sharp pulses of electromagnetic energy over all frequencies  The pulses are propagated according to the same laws as the desirable signals being generated by the radio frequency equipment  The receiving systems must accept them along with the desired signal 30
  • 31. 31 Noise Remedy  Increasing receiver amplification cannot improve the signal to noise ratio since both signal and noise will be amplified equally and the ratio will remain the same 31
  • 32. 32 Loss  All components exhibit one of two properties ► Loss ► or ► Gain  If the signal coming out is smaller than the signal going in, it is loss that appears as heat  Attenuators produce loss 32
  • 33. 33 Attenuation  Causes of loss or attenuation in RF systems and the environments through which they transmit include ► Water, regardless of how it appears or where it is found including inside connections ► When water is encountered in the air as the signal passes through, the form of the moisture matters ► At frequencies above 10 GHz attenuation from rain becomes significant ► When the raindrop’s size matches the wavelength attenuation occurs 33
  • 34. 34 Attenuation ► Examples of the affect outside include • Rain causes about .08 dB of loss per mile for 2.4 GHz and 5.8 GHz • Fog causes about .03 dB per mile for 2.4 GHz • For 5.8 GHz the loss is about .11 dB per mile • Ice changes the effective design of an antenna, therefore changing its performance 34
  • 35. 35 Other Impairments  Atmospheric absorption – water vapor and oxygen contribute to attenuation  Multipath – obstacles reflect signals so that multiple copies with varying delays are received  Refraction – bending of radio waves as they propagate through the atmosphere
  • 36. 36 Gain  If the signal gets larger before it exits the device, it is gain  RF amplifiers produce gain  Gain is an active process in most cases, in other words it requires a power source  Gain can also be the combination of signals from different directions appearing together, such as the main signal and a reflected signal  However, the total gain cannot exceed the original level transmitted from the antenna in such a case 36
  • 37. 37 Summary  Wireless Transmission ► Why baseband signal can not be transmitted? ► Need bandpass signals whose minimum frequency is higher than 0 ► Modulator produces bandpass by superomposing basband signal over higher frequency signals • AM, FM, PM  Digital data analog signals ► Some transmission media like optical fibers and unguided propagate only analog signals ► For example public telephone network ► Requires data encoding • ASK, FSK, PSK
  • 38. 38 Summary  Noises ► Thermal/white noise ► Intermodulation noise ► Crosstalk ► Impulse noise ► Natural noise • Atmospheric noise like thunderstorms • Galatic noise such as stars ► Manmade noise • Ignition systems, power lines, motors arc welders, flourscent lightd etc  Attenuation and other impairments