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Introduction to Wireless
Communication
CS5440 Wireless Access Networks
Dilum Bandara
Dilum.Bandara@uom.lk
Outlines
 Elements of a wireless system
 Transmitter
 Frequency spectrum
 Modulation
 Antenna
 Medium
 Propagation
 Attenuation
 Receiver
 Antenna
 Demodulation
 Issues & constraints
2
Wireless Communication
 Transfer of data between 2+ points that aren’t
connected by an electrical conductor
 Typically use electromagnetic waves
 Why wireless?
 Running cables not always possible
 Low footprint
 Rapid (re)configuration
 Low cost
3
Wireless History
 Ancient systems – Smoke Signals, Carrier Pigeons, etc.
 Radio invented in 1880s by Marconi
 Many sophisticated military radio systems developed
during & after WW2
 Exponential growth in Cellular systems since 1988
 Ignited wireless revolution
 Voice, data, & multimedia ubiquitous
 6.8 billion subscribers worldwide as of Feb. 2013 (source ITU)
 Use in 3rd-world countries growing rapidly
 3.5 billion subscribers in Asia Pacific in 2013
 Wi-Fi enjoying tremendous success & growth
 Wide area networks (e.g., WiMax) & short-range systems other
than Bluetooth (e.g., UWB) less successful 4
5
Future Wireless Networks
Next-generation Cellular
Wireless Internet Access
Wireless Multimedia
Sensor Networks
Smart Homes/Spaces
Automated Highways
In-Body Networks
IoT
Ubiquitous communication
among People & Devices
Source: Andrea Goldsmith, “Cross
Layer Design in Wireless
Networks”, Stanford University
6
Wireless Services
 Telemetry control & traffic control systems
 Infrared & ultrasonic remote control devices
 Professional LMR (Land Mobile Radio) & SMR (Specialized
Mobile Radio)
 Used by business, industrial & public safety entities
 Consumer 2-way radio
 Airband & radio navigation equipment
 Amateur Radio Service (Ham radio)
 Cellular telephones & pagers
 Global Positioning System (GPS)
 Cordless computer peripherals
 Cordless phones
 Satellite television 7
Source: www.access.kth.se
Medium
Elements of a Wireless System
8
Transmitter
Receiver 1
Receiver 2
Receiver n
Source: www.mikroe.com/old/books/rrbook/chapter2/chapter2.htm
Transmitter
 Elements depend on transmission technology
 Frequency & wavelength, c = f λ
 Modulation
 Antenna
9
AM Transmitter
Exercise
 Wavelength of an electromagnetic wave travelling
in space is 60 cm. What is its frequency?
 Assume speed of light is 3×108 m/s
a) 500 MHz
b) 3 GHz
c) 5 GHz
d) 15 GHz
10
Frequency Spectrum
 Range of available frequencies
 To avoid interference, various wireless
technologies use distinct frequency bands
 Signal power is well controlled
 Assigned by regulatory agencies
 e.g., FCC, ITU, TRC
11
Source: www.cosmosportal.org
12
Government license not
required
Industrial, Scientific, &
Medical (ISM) band
VLF – very low frequency
LF – low frequency
MF – medium frequency
HF – high frequency
VHF – very high frequency
UHF – ultra-high frequency
SHF – super-high frequency
EHF – extremely high frequency
Source: P. Zheng et al., Wireless Networking Complete
Key Frequency Bands
 AM – 520 - 1650.5 KHz
 FM – 87.5 - 108 MHz
 Direct broadcast satellite – 10.9 - 12.75 GHz
 Global System for Mobile (GSM)
 890 - 960 MHz & 1710 - 1880 MHz
 Referred as 900 & 1800 bands
 Code Division Multiple Access (CDMA)
 900 & 1800 bands
 3G wideband CDMA (UMTS)
 1900 - 1980, 2020 - 2025, & 2110 - 2190 MHz bands
 Wireless LAN (IEEE 802.11)
 902 - 928 MHz, 2400 - 2483 MHz, 5.15 - 5.725 GHz
 ISM band – 2.4 GHz in US
13
Key Frequency Bands (Cont.)
 Bluetooth – 2.402 - 2.480 GHz in US
 WiMax – 2 - 11 GHz (includes both licensed &
unlicensed)
 Ultra-wideband (UWB) – 1.1 - 10.6 GHz
 Radio-frequency IDentification (RFID)
 LF (120 – 140 KHz), HF (13.56 MHz), UHF (868 – 956 MHz), &
Microwave (2.4 GHz)
 IrDA – 100 GHz
 Wireless sensors
 300 - 1000 MHz & 2.4 GHz ISM band
 Global Positioning System (GPS)
 1575.42 MHz (referred to as L1) & 1227.60 MHz (L2)
14
Antenna
15
 Converts signal to electromagnetic waves
 Size must be consistent with wavelength
 Types
 Directional
 Satellite communication
 Omnidirectional
 Cell phones, car radios
 MIMO
 Wireless routers
Source: www.flann.com
Antenna Gain
 How well an antenna converts input power into
radio waves headed in a specified direction
 Depends on antenna's directivity & electrical
efficiency
 Gain
 Ratio of power produced by antenna to power
produced by a hypothetical lossless isotropic antenna
 Unitless
 Usually expressed in decibels (dB)
 Directional  high gain
 Omnidirectional  low gain
16
Attenuation
 Reduction in signal strength with distance,
propagation medium, & atmospheric conditions
 Typically high for high frequencies
 Friis free-space equation
 PR, PT – Power at receiver (in Watts or Milliwatts)
 GT, GR – gain of antenna
 λ – wavelength (in meters)
 d – distance (in meters) 17
22
2
)4(
=)(
d
GGP
dP RTT
R


Example
 Transmission frequency is 881.52 MHz & antenna gains
are 8 dB & 0 dB for base station & mobile station
 What is the signal attenuation at a distance of 1,500 m?
 c = 299 792 458 m/s
 Solution
 c = f λ  λ = 299 792 458/881.52×106 = 0.34 m
 8 dB = 100.8 = 6.3
 0 dB = 100 = 1
 Loss = PT – PR
 Loss = 86.89 dB
18
8
9-
22
2
22
2
22
2
22
2
10×8788.4=
)(
10×0497.2=
)(
1500)4(
34.0×1×3.6
=
)(
1500)4(
34.0×1×3.6
=
)(
)4(
=
)(
)4(
=)(
dP
P
P
dP
P
dP
P
dP
d
GG
P
dP
d
GGP
dP
R
T
T
R
T
R
T
R
RT
T
R
RTT
R






Attenuation (Cont.)
 Based on empirical evidence, more reasonable to
model PR as a log-distance path-loss model
 np – path loss exponent
 Xσ – zero-mean Gaussian random variable with STD σ
 All power values are in dBm
19
 )/log(10)()( 000 ddndPdP pR
Source: S. Rao, “Estimating the ZigBee
transmission-range ISM band,” EDN, May 2007.
Complex Attenuation
 When signal encounters obstacles
 High-frequency signals experience
1. Absorption
2. Shadowing
 When object >> λ
3. Reflection
 When object >> λ
4. Refraction
5. Diffraction
6. Scattering
 When object ≤ λ
20
Complex Attenuation (Cont.)
21
Source: http://computer-help-
tips.blogspot.com/2011/04/radio-frequency-
behaviors.html
Absorption
Source: http://elmag.org/en/propagation-modeling-
of-shadowing-by-vegetation-for-mobile-satcom-%26-
satnav-systems
Shadowing
Complex Attenuation (Cont.)
22
Reflection
Source: http://wireless.navigator.co.uk/radio_link.htm
Refraction
Source: http://computer-help-
tips.blogspot.com/2011/04/radio-frequency-
behaviors.html
Complex Attenuation (Cont.)
23Scattering
Diffraction
Source: http://newhorizons.bg/blog/2010/12/wireless-
101-terminology-part-2-implementing-cisco-unified-
wireless-networking-essentials-iuwne/
Source: http://www.astrosurf.com/luxorion/qsl-
propa.htm
Example – Attenuation Experienced by
Mobile Phones
24
Source: www.intechopen.com/books/matlab-a-fundamental-tool-for-scientific-computing-and-engineering-
applications-volume-2/mobile-radio-propagation-prediction-for-two-different-districts-in-mosul-city
Exercise
 Reflection of wireless signals occurs when
a) wavelength is constant
b) object size << wavelength
c) object size ≈ wavelength
d) object size >> wavelength
25
Noise
 Disturbances introduced to wireless signals
26Source:
www.cisco.com/en/US/prod/collateral/video/ps8806/ps5684/ps2209/prod_white_paper0900aecd805738f5.html
Noise (Cont.)
 Sources
 Thermal (white) noise
 From electronic circuit
 PThermal = KTB
 K – Boltzmann constant, T - Ambient temperature, B - receiver BW
 Intermodulation noise
 When 2 frequencies of signals are transmitted over same medium
27
2 signals at 270 & 275 MHz
Source:
http://en.wikipedia.org/wiki/Inter
modulation
Noise (Cont.)
 Crosstalk between channels
 Impulse noise
 Due to instantaneous electromagnetic changes
28
Source: http://volpefirm.com/impact-of-
impulse-noise-on-adaptive-pre-equalization-
part-ii/impulse-noise/
Source: www.chalmers.se/en/departments/s2/research/
Pages/Hardware-constrained-communication.aspx
Signal-to-Noise Ratio
 To cope with noise, transmitted signal > noise
 High Signal-to-Noise Ratio (SNR)
 Or use spread spectrum technology
 Embed signal over wide range of frequencies with low power
29
Example
 PT = 10 W, free space loss 117 dB, antenna gains 8 dB
& 0 dB, total system losses 8 dB, receiver antenna
temperature 290 K, & receiver bandwidth 1.25 MHz
 Find PR
 Find thermal noise, K = 1.38×10-23 W/Kelvin-Hz
 Find SNR at receiver
 Solution
 PR = -107 dBW
 PThermal = KTB = 1.38×10-23 × 290 × 1.25×106 = -143 dBW
 SNR = -107 + 143 = 36 dB
30
Multipath Propagation
 Receive same signal through different paths
 Different arrival times
 Inter Symbol Interference (ISI)
 Different levels of attenuation
 Different levels of distortion
31
Source: http://www.ni.com/white-paper/6427/en/
Signal Propagation
 Amplitude domain
 Amplitude change with
time
 Frequency domain
 Frequency change
with time
 Phase domain
 Phase change with
time
 Frequency & phase
modulation require high-
frequency carriers 32
Source: www.ni.com/white-paper/4805/en
AM & FM
33
Amplitude Modulation
Frequency Modulation
Phase Modulation
34
Phase Modulation (Cont.)
 Amplitude-Shift Keying (ASK)
 Binary ASK
 1 – By presence of a signal
 0 – No signal
 Pros
 Bandwidth efficient
 Simple to implement
 Cons
 Low power efficiency
 Susceptible to noise & multipath propagation
 Unclear absence of a signal vs. binary 0
35
Phase Modulation (Cont.)
 Frequency-Shift Keying (FSK)
 Binary FSK
 1 – High frequency
 0 – Low frequency
 Pros
 Better SNR
 Simple decoding
 Long distance
 Cons
 Slightly less bandwidth efficient than ASK & PSK
 More complicated circuitry than ASK
36
Phase Modulation (Cont.)
 Phase-Shift Keying (PSK)
 Encode based on phase of carrier wave
 Binary PSK
 1 – 180o
 0 – 0o
 Quadrature PSK
 0o, 90o, 180o, 270o
 Pros
 Power efficient
 Cons
 Low-bandwidth efficiency
 More complicated circuitry than FSK
37
Phase Modulation (Cont.)
 Quadrature Amplitude Modulation (QAM)
 Combines ASK & PSK
 Widely used
38
Source:
www.physics.udel.edu/~watson/scen103/projec
ts/96s/thosguys/qam.html
Source:
www.scicos.org/ScicosModNum/modnum_web/sr
c/modnum_421/interf/scicos/help/eng/htm/MODQ
AM_f.htm
Multiplexing
 Transmitting multiple signals simultaneously
 Maximize capacity
 Time Division Multiplexing (TDM)
 Multiple channels occupy same frequency in
alternating slices
 Frequency Division Multiplexing (FDM)
 Use different carrier frequencies
 Code Division Multiplexing (CDM)
 Same frequency & same time but different codes
 Code – like Tx & Rx speak different languages
39
Multiplexing (Cont.)
40Source: http://m.ztopics.com/Time%20division%20multiple%20access/
CDMA
41
Source: http://electronicdesign.com/communications/fundamentals-communications-access-technologies-
fdma-tdma-cdma-ofdma-and-sdma
Source:
www.umtsworld.com/technology/cdmabasics.htm
Exercise
 Which of the following multiplexing technique
allow signals to use different frequencies at the
same time?
a) Amplitude Division Multiplexing
b) Frequency Division Multiplexing
c) Code Division Multiplexing
d) Time Division Multiplexing
42
Narrowband Transmission
 Pros
 Efficient use of frequency
 Cons
 Require regulation
 Easier to intercept & jam
43
Source: www.tapr.org
Spread Spectrum
 Spread signal over a large range of frequencies
 Low power density (power per frequency)
 Signal appear as background noise 44
www.intercomsonline.com/Spread-Spectrum-Technology_a/162.htm
Spread Spectrum (Cont.)
 Only receivers that know the spreading scheme
can reconstruct original signal
 Spreading scheme defined by a code
 Only designated receiver knows the code
 Pros
 Improved channel capacity
 Resistance against interference
 Security against tapping & jamming
 Cons
 Complex circuits
45
Signal With & Without Noise
46
Source: www.sciencedirect.com/science/article/pii/S0888327009003756
Types of Spread Spectrum Systems
1. Direct Sequence Spread Spectrum (DSSS)
2. Frequency-Hopping Spread Spectrum (FHSS)
3. Orthogonal Frequency-Division Multiplexing
(OFDM)
47
Direct Sequence Spread Spectrum (DSSS)
 Spread signal over
broader frequency
band
 Chipping technique to
spread signal
 Transmitter & receiver
needs to be
synchronized
 Used in WiFi
48
Source: www.maximintegrated.com/app-notes/index.mvp/id/1890
Frequency-Hopping Spread Spectrum
(FHSS)
 Hoping sequence of
frequencies
 Only subset of the available
frequencies are used to hop
 Transmitter & receiver needs
to be synchronized
 Relatively simple to implement
than DSSS
 Relatively easier to recover Tx
signal than DSSS
 Relatively less robust to signal
distortion & multipath effects
 Used in Bluetooth 49
Source: www.maximintegrated.com/app-
notes/index.mvp/id/1890
Orthogonal Frequency-Division
Multiplexing (OFDM)
 Utilize orthogonal multiple subcarriers in parallel
 Much higher data rates
 Low multipath interference
 Used in IEEE 802.11 a/g
50
Source: http://wiki.hsc.com//Main/OFDM
Challenges
 Wireless channels are a difficult & capacity-
limited communications medium
 Typically less efficient
 Traffic patterns, user locations, & network
conditions are constantly changing
 Applications are heterogeneous with hard
constraints that must be met by networks
51
More Challenges
 Network challenges
 Scarce spectrum
 Demanding/diverse applications
 Reliability
 Ubiquitous coverage
 Seamless indoor/outdoor operation
 Device challenges
 Size, power, cost
 Multiple antennas in Silicon
 Multi-radio Integration
 Coexistance
Cellular
Apps
Processor
BT
Media
Processor
GPS
WLAN
Wimax
DVB-H
FM/XM
52
Growth in mobile data, massive spectrum deficit & stagnant revenues
require technical & political breakthroughs for ongoing success of cellular
Careful what you wish for…
53
Source: Unstrung Pyramid Research 2010Source: FCC
Software-Defined (SD) Radio
 Wideband antennas & A/Ds span BW of desired signals
 DSP programmed to process desired signal: no specialized
HW
Cellular
Apps
Processor
BT
Media
Processor
GPS
WLAN
Wimax
DVB-H
FM/XM A/D
A/D
DSP
A/D
A/D
Is this the solution to the device challenges?
Today, this isn’t cost, size, or power efficient
54
Summary
 Bandwidth & QoS is in demand
 Many applications & services
 Spectrum is scare
 Many elements & solutions
 Still not enough
 It’s only going to be even more interesting...
55

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Introduction to Wireless Communication

  • 1. Introduction to Wireless Communication CS5440 Wireless Access Networks Dilum Bandara Dilum.Bandara@uom.lk
  • 2. Outlines  Elements of a wireless system  Transmitter  Frequency spectrum  Modulation  Antenna  Medium  Propagation  Attenuation  Receiver  Antenna  Demodulation  Issues & constraints 2
  • 3. Wireless Communication  Transfer of data between 2+ points that aren’t connected by an electrical conductor  Typically use electromagnetic waves  Why wireless?  Running cables not always possible  Low footprint  Rapid (re)configuration  Low cost 3
  • 4. Wireless History  Ancient systems – Smoke Signals, Carrier Pigeons, etc.  Radio invented in 1880s by Marconi  Many sophisticated military radio systems developed during & after WW2  Exponential growth in Cellular systems since 1988  Ignited wireless revolution  Voice, data, & multimedia ubiquitous  6.8 billion subscribers worldwide as of Feb. 2013 (source ITU)  Use in 3rd-world countries growing rapidly  3.5 billion subscribers in Asia Pacific in 2013  Wi-Fi enjoying tremendous success & growth  Wide area networks (e.g., WiMax) & short-range systems other than Bluetooth (e.g., UWB) less successful 4
  • 5. 5
  • 6. Future Wireless Networks Next-generation Cellular Wireless Internet Access Wireless Multimedia Sensor Networks Smart Homes/Spaces Automated Highways In-Body Networks IoT Ubiquitous communication among People & Devices Source: Andrea Goldsmith, “Cross Layer Design in Wireless Networks”, Stanford University 6
  • 7. Wireless Services  Telemetry control & traffic control systems  Infrared & ultrasonic remote control devices  Professional LMR (Land Mobile Radio) & SMR (Specialized Mobile Radio)  Used by business, industrial & public safety entities  Consumer 2-way radio  Airband & radio navigation equipment  Amateur Radio Service (Ham radio)  Cellular telephones & pagers  Global Positioning System (GPS)  Cordless computer peripherals  Cordless phones  Satellite television 7 Source: www.access.kth.se
  • 8. Medium Elements of a Wireless System 8 Transmitter Receiver 1 Receiver 2 Receiver n Source: www.mikroe.com/old/books/rrbook/chapter2/chapter2.htm
  • 9. Transmitter  Elements depend on transmission technology  Frequency & wavelength, c = f λ  Modulation  Antenna 9 AM Transmitter
  • 10. Exercise  Wavelength of an electromagnetic wave travelling in space is 60 cm. What is its frequency?  Assume speed of light is 3×108 m/s a) 500 MHz b) 3 GHz c) 5 GHz d) 15 GHz 10
  • 11. Frequency Spectrum  Range of available frequencies  To avoid interference, various wireless technologies use distinct frequency bands  Signal power is well controlled  Assigned by regulatory agencies  e.g., FCC, ITU, TRC 11 Source: www.cosmosportal.org
  • 12. 12 Government license not required Industrial, Scientific, & Medical (ISM) band VLF – very low frequency LF – low frequency MF – medium frequency HF – high frequency VHF – very high frequency UHF – ultra-high frequency SHF – super-high frequency EHF – extremely high frequency Source: P. Zheng et al., Wireless Networking Complete
  • 13. Key Frequency Bands  AM – 520 - 1650.5 KHz  FM – 87.5 - 108 MHz  Direct broadcast satellite – 10.9 - 12.75 GHz  Global System for Mobile (GSM)  890 - 960 MHz & 1710 - 1880 MHz  Referred as 900 & 1800 bands  Code Division Multiple Access (CDMA)  900 & 1800 bands  3G wideband CDMA (UMTS)  1900 - 1980, 2020 - 2025, & 2110 - 2190 MHz bands  Wireless LAN (IEEE 802.11)  902 - 928 MHz, 2400 - 2483 MHz, 5.15 - 5.725 GHz  ISM band – 2.4 GHz in US 13
  • 14. Key Frequency Bands (Cont.)  Bluetooth – 2.402 - 2.480 GHz in US  WiMax – 2 - 11 GHz (includes both licensed & unlicensed)  Ultra-wideband (UWB) – 1.1 - 10.6 GHz  Radio-frequency IDentification (RFID)  LF (120 – 140 KHz), HF (13.56 MHz), UHF (868 – 956 MHz), & Microwave (2.4 GHz)  IrDA – 100 GHz  Wireless sensors  300 - 1000 MHz & 2.4 GHz ISM band  Global Positioning System (GPS)  1575.42 MHz (referred to as L1) & 1227.60 MHz (L2) 14
  • 15. Antenna 15  Converts signal to electromagnetic waves  Size must be consistent with wavelength  Types  Directional  Satellite communication  Omnidirectional  Cell phones, car radios  MIMO  Wireless routers Source: www.flann.com
  • 16. Antenna Gain  How well an antenna converts input power into radio waves headed in a specified direction  Depends on antenna's directivity & electrical efficiency  Gain  Ratio of power produced by antenna to power produced by a hypothetical lossless isotropic antenna  Unitless  Usually expressed in decibels (dB)  Directional  high gain  Omnidirectional  low gain 16
  • 17. Attenuation  Reduction in signal strength with distance, propagation medium, & atmospheric conditions  Typically high for high frequencies  Friis free-space equation  PR, PT – Power at receiver (in Watts or Milliwatts)  GT, GR – gain of antenna  λ – wavelength (in meters)  d – distance (in meters) 17 22 2 )4( =)( d GGP dP RTT R  
  • 18. Example  Transmission frequency is 881.52 MHz & antenna gains are 8 dB & 0 dB for base station & mobile station  What is the signal attenuation at a distance of 1,500 m?  c = 299 792 458 m/s  Solution  c = f λ  λ = 299 792 458/881.52×106 = 0.34 m  8 dB = 100.8 = 6.3  0 dB = 100 = 1  Loss = PT – PR  Loss = 86.89 dB 18 8 9- 22 2 22 2 22 2 22 2 10×8788.4= )( 10×0497.2= )( 1500)4( 34.0×1×3.6 = )( 1500)4( 34.0×1×3.6 = )( )4( = )( )4( =)( dP P P dP P dP P dP d GG P dP d GGP dP R T T R T R T R RT T R RTT R      
  • 19. Attenuation (Cont.)  Based on empirical evidence, more reasonable to model PR as a log-distance path-loss model  np – path loss exponent  Xσ – zero-mean Gaussian random variable with STD σ  All power values are in dBm 19  )/log(10)()( 000 ddndPdP pR Source: S. Rao, “Estimating the ZigBee transmission-range ISM band,” EDN, May 2007.
  • 20. Complex Attenuation  When signal encounters obstacles  High-frequency signals experience 1. Absorption 2. Shadowing  When object >> λ 3. Reflection  When object >> λ 4. Refraction 5. Diffraction 6. Scattering  When object ≤ λ 20
  • 21. Complex Attenuation (Cont.) 21 Source: http://computer-help- tips.blogspot.com/2011/04/radio-frequency- behaviors.html Absorption Source: http://elmag.org/en/propagation-modeling- of-shadowing-by-vegetation-for-mobile-satcom-%26- satnav-systems Shadowing
  • 22. Complex Attenuation (Cont.) 22 Reflection Source: http://wireless.navigator.co.uk/radio_link.htm Refraction Source: http://computer-help- tips.blogspot.com/2011/04/radio-frequency- behaviors.html
  • 23. Complex Attenuation (Cont.) 23Scattering Diffraction Source: http://newhorizons.bg/blog/2010/12/wireless- 101-terminology-part-2-implementing-cisco-unified- wireless-networking-essentials-iuwne/ Source: http://www.astrosurf.com/luxorion/qsl- propa.htm
  • 24. Example – Attenuation Experienced by Mobile Phones 24 Source: www.intechopen.com/books/matlab-a-fundamental-tool-for-scientific-computing-and-engineering- applications-volume-2/mobile-radio-propagation-prediction-for-two-different-districts-in-mosul-city
  • 25. Exercise  Reflection of wireless signals occurs when a) wavelength is constant b) object size << wavelength c) object size ≈ wavelength d) object size >> wavelength 25
  • 26. Noise  Disturbances introduced to wireless signals 26Source: www.cisco.com/en/US/prod/collateral/video/ps8806/ps5684/ps2209/prod_white_paper0900aecd805738f5.html
  • 27. Noise (Cont.)  Sources  Thermal (white) noise  From electronic circuit  PThermal = KTB  K – Boltzmann constant, T - Ambient temperature, B - receiver BW  Intermodulation noise  When 2 frequencies of signals are transmitted over same medium 27 2 signals at 270 & 275 MHz Source: http://en.wikipedia.org/wiki/Inter modulation
  • 28. Noise (Cont.)  Crosstalk between channels  Impulse noise  Due to instantaneous electromagnetic changes 28 Source: http://volpefirm.com/impact-of- impulse-noise-on-adaptive-pre-equalization- part-ii/impulse-noise/ Source: www.chalmers.se/en/departments/s2/research/ Pages/Hardware-constrained-communication.aspx
  • 29. Signal-to-Noise Ratio  To cope with noise, transmitted signal > noise  High Signal-to-Noise Ratio (SNR)  Or use spread spectrum technology  Embed signal over wide range of frequencies with low power 29
  • 30. Example  PT = 10 W, free space loss 117 dB, antenna gains 8 dB & 0 dB, total system losses 8 dB, receiver antenna temperature 290 K, & receiver bandwidth 1.25 MHz  Find PR  Find thermal noise, K = 1.38×10-23 W/Kelvin-Hz  Find SNR at receiver  Solution  PR = -107 dBW  PThermal = KTB = 1.38×10-23 × 290 × 1.25×106 = -143 dBW  SNR = -107 + 143 = 36 dB 30
  • 31. Multipath Propagation  Receive same signal through different paths  Different arrival times  Inter Symbol Interference (ISI)  Different levels of attenuation  Different levels of distortion 31 Source: http://www.ni.com/white-paper/6427/en/
  • 32. Signal Propagation  Amplitude domain  Amplitude change with time  Frequency domain  Frequency change with time  Phase domain  Phase change with time  Frequency & phase modulation require high- frequency carriers 32 Source: www.ni.com/white-paper/4805/en
  • 33. AM & FM 33 Amplitude Modulation Frequency Modulation
  • 35. Phase Modulation (Cont.)  Amplitude-Shift Keying (ASK)  Binary ASK  1 – By presence of a signal  0 – No signal  Pros  Bandwidth efficient  Simple to implement  Cons  Low power efficiency  Susceptible to noise & multipath propagation  Unclear absence of a signal vs. binary 0 35
  • 36. Phase Modulation (Cont.)  Frequency-Shift Keying (FSK)  Binary FSK  1 – High frequency  0 – Low frequency  Pros  Better SNR  Simple decoding  Long distance  Cons  Slightly less bandwidth efficient than ASK & PSK  More complicated circuitry than ASK 36
  • 37. Phase Modulation (Cont.)  Phase-Shift Keying (PSK)  Encode based on phase of carrier wave  Binary PSK  1 – 180o  0 – 0o  Quadrature PSK  0o, 90o, 180o, 270o  Pros  Power efficient  Cons  Low-bandwidth efficiency  More complicated circuitry than FSK 37
  • 38. Phase Modulation (Cont.)  Quadrature Amplitude Modulation (QAM)  Combines ASK & PSK  Widely used 38 Source: www.physics.udel.edu/~watson/scen103/projec ts/96s/thosguys/qam.html Source: www.scicos.org/ScicosModNum/modnum_web/sr c/modnum_421/interf/scicos/help/eng/htm/MODQ AM_f.htm
  • 39. Multiplexing  Transmitting multiple signals simultaneously  Maximize capacity  Time Division Multiplexing (TDM)  Multiple channels occupy same frequency in alternating slices  Frequency Division Multiplexing (FDM)  Use different carrier frequencies  Code Division Multiplexing (CDM)  Same frequency & same time but different codes  Code – like Tx & Rx speak different languages 39
  • 42. Exercise  Which of the following multiplexing technique allow signals to use different frequencies at the same time? a) Amplitude Division Multiplexing b) Frequency Division Multiplexing c) Code Division Multiplexing d) Time Division Multiplexing 42
  • 43. Narrowband Transmission  Pros  Efficient use of frequency  Cons  Require regulation  Easier to intercept & jam 43 Source: www.tapr.org
  • 44. Spread Spectrum  Spread signal over a large range of frequencies  Low power density (power per frequency)  Signal appear as background noise 44 www.intercomsonline.com/Spread-Spectrum-Technology_a/162.htm
  • 45. Spread Spectrum (Cont.)  Only receivers that know the spreading scheme can reconstruct original signal  Spreading scheme defined by a code  Only designated receiver knows the code  Pros  Improved channel capacity  Resistance against interference  Security against tapping & jamming  Cons  Complex circuits 45
  • 46. Signal With & Without Noise 46 Source: www.sciencedirect.com/science/article/pii/S0888327009003756
  • 47. Types of Spread Spectrum Systems 1. Direct Sequence Spread Spectrum (DSSS) 2. Frequency-Hopping Spread Spectrum (FHSS) 3. Orthogonal Frequency-Division Multiplexing (OFDM) 47
  • 48. Direct Sequence Spread Spectrum (DSSS)  Spread signal over broader frequency band  Chipping technique to spread signal  Transmitter & receiver needs to be synchronized  Used in WiFi 48 Source: www.maximintegrated.com/app-notes/index.mvp/id/1890
  • 49. Frequency-Hopping Spread Spectrum (FHSS)  Hoping sequence of frequencies  Only subset of the available frequencies are used to hop  Transmitter & receiver needs to be synchronized  Relatively simple to implement than DSSS  Relatively easier to recover Tx signal than DSSS  Relatively less robust to signal distortion & multipath effects  Used in Bluetooth 49 Source: www.maximintegrated.com/app- notes/index.mvp/id/1890
  • 50. Orthogonal Frequency-Division Multiplexing (OFDM)  Utilize orthogonal multiple subcarriers in parallel  Much higher data rates  Low multipath interference  Used in IEEE 802.11 a/g 50 Source: http://wiki.hsc.com//Main/OFDM
  • 51. Challenges  Wireless channels are a difficult & capacity- limited communications medium  Typically less efficient  Traffic patterns, user locations, & network conditions are constantly changing  Applications are heterogeneous with hard constraints that must be met by networks 51
  • 52. More Challenges  Network challenges  Scarce spectrum  Demanding/diverse applications  Reliability  Ubiquitous coverage  Seamless indoor/outdoor operation  Device challenges  Size, power, cost  Multiple antennas in Silicon  Multi-radio Integration  Coexistance Cellular Apps Processor BT Media Processor GPS WLAN Wimax DVB-H FM/XM 52
  • 53. Growth in mobile data, massive spectrum deficit & stagnant revenues require technical & political breakthroughs for ongoing success of cellular Careful what you wish for… 53 Source: Unstrung Pyramid Research 2010Source: FCC
  • 54. Software-Defined (SD) Radio  Wideband antennas & A/Ds span BW of desired signals  DSP programmed to process desired signal: no specialized HW Cellular Apps Processor BT Media Processor GPS WLAN Wimax DVB-H FM/XM A/D A/D DSP A/D A/D Is this the solution to the device challenges? Today, this isn’t cost, size, or power efficient 54
  • 55. Summary  Bandwidth & QoS is in demand  Many applications & services  Spectrum is scare  Many elements & solutions  Still not enough  It’s only going to be even more interesting... 55