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Radio Propagation
Spring 07
CS 527 – Lecture 3
Overview
 Motivation
 Block diagram of a radio
 Signal Propagation
 Large scale path loss
 Small scale fading
 Interesting link measurement observations
 Implications of protocol design
Motivation for Wireless propagation
 Wireless channel is vastly different from wired counterpart
 Different access mechanisms
 Common channel but …
 State of channel at each node can vary drastically
 E.g.: Sender thinks that channel is free but receiver senses a busy
channel – Packet drop?
 Unreliable channel
 Highly sensitive to environment (surroundings) and weather
 Modest bandwidth
 Effects of Propagation has a high impact on higher layer
protocols
 E.g.: Are the assumptions made by TCP protocol valid under
wireless channel?
Radio Block Diagram
 In today's class:
 How does the signal propagate? What are the
prominent effects?
Coding Modulation Antenna
Demodulation
Decoding Antenna
Signal Propagation Effects
 Large scale Path loss
 Large distances (w.r.t. to wavelength of the wave) between
transmitter and receiver
 Small scale Fading
 Fluctuation in received signal strengths due to variations
over short distances (w.r.t. to wavelength of the wave)
 Consider the wavelength of radio signals for 802.11
 802.11 a: Frequency = 5.2 GHz Wavelength = 5.8 cm
 802.11 b/g: Frequency = 2.4 GHz Wavelength = 12.5 cm
Large scale Path loss
 General Observation:
 As distance increases, the signal strength at
receiver decreases
 Free-space Propagation model:
 Line-of-Sight (LoS) based
 E.g.: Satellite Communication, Microwave LoS
Radio Links
 Signal strength observed at receiver is inversely
proportional to square of distance
Is it so simple?
 But in realistic settings, lot of factors act on the wave
 Three major reasons:
 Reflection:
From objects very
large (wrt to wavelength
of the wave).
 Diffraction:
From objects that have
sharp irregularities.
 Scattering
 From objects that are small (when compared to the
wavelength)
 E.g.: Rough surfaces
Figures borrowed from [1]
Accounting for Ground Reflection
 Two-ray (Ground reflection) model
 Considers LoS path + Ground reflected wave path
θi θo
ELOS
Ei
Eg
ETOT = ELOS +
Eg
Transmitter
Receiver
Figures partially borrowed from [Rappaport]
Empirical models
 Above models are very simplistic in realistic settings
 E.g: Points 4 and 5 in the above figure
 Alternative Approach:
 Use empirical data to construct propagation models
 But, can measurements at few places generalize to all scenarios?
 Different environments?
 Different frequencies?
 Recognize "patterns" in the empirical data and use statistical
techniques for approximating.
Figures borrowed from [1]
Empirical Models
 Log-distance Path loss model
 Uses the idea that both theoretical and empirical evidence
suggests that average received signal strength decreases
logarithmically with distance
 Measure received signal strength near to transmitter and
approximate to different distances based on above
“reference” observation
 Log-normal shadowing
 Observes that the environment can be vastly different at
two points with the same distance of separation.
 Empirical data suggests that the power observed at a location
is random and distributed log-normally about the “mean”
power
Small scale fading
 Rapid fluctuations of the signal
over short period of time
 Invalidates Large-scale path loss
 Occurs due to multi-path waves
 Two or more waves (e.g:
reflected/diffracted/scattered waves)
 Such waves differ in amplitude and
phase
 Can combine constructively or
destructively resulting in rapid signal
strength fluctuation over small
distances
Example of Multipath
Phase difference between
original and reflected wave
Figures borrowed from [http://www.iec.org/online/tutorials/smart_ant/topic05.html]
Factors affecting fading
 Multipath propagation
 Speed of mobile/surrounding objects
 The frequency of the signal varies if relative
motion between transmitter and receiver
 E.g: The difference of sound heard when train
is moving towards you or away from you
 Transmission bandwidth
 Discussion related to Lecture-2:
 Does mobility increase/decrease the throughput while thinking
about mobile computing?
 Large scale/ Small scale?
Figures borrowed from [http://www.glenbrook.k12.il.us/GBSSCI/PHYS/CLASS/waves/u10l3d3.gif]
Link measurement observations
 Is propagation disk shaped?
 Directionality due to environment?
 Does it observe Free-space Propagation model?
Figure 1 borrowed from [Aguayo – Link level measurements in 802.11b mesh network]
Figure 2 borrowed from [Deepak Ganesan -- Complex]
Figure 2: Contour of probability
of packet reception wrt distance
Figure 1: SNR values v/s distance
 Distance v/s observed signal strength
Link measurement observations
 Shows packet reception rates of 4 different links
 Temporal variations over a long time period (96 hours) is significant
 Note: This is not the signal strength, but packet reception rate (broadcast packet)
Figure borrowed from [Cerpa – Temporal]
 Temporal variations
Impact of protocol design
 MAC protocol
 Constant retransmissions needed
 Neighborhood discovery
 More problems when we consider asymmetry of links
 Source can talk to receiver but not vice-versa
 ACKs?
 Routing protocol
 Multi-hop reliability is low after 4 to 5 hops
 Consider 5 links each with packet-throughput 95%. Overall throughput (assuming
no ACK) is 95%. Overall throughput (assuming no ACK) is ~77%.
 Transport protocol
 Effect of unpredictable packet losses on TCP?
 And other effects like packet delivery success based on relative motion
between transmitter and receiver
 Multipath effects?

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Radio propagation

  • 1. Radio Propagation Spring 07 CS 527 – Lecture 3
  • 2. Overview  Motivation  Block diagram of a radio  Signal Propagation  Large scale path loss  Small scale fading  Interesting link measurement observations  Implications of protocol design
  • 3. Motivation for Wireless propagation  Wireless channel is vastly different from wired counterpart  Different access mechanisms  Common channel but …  State of channel at each node can vary drastically  E.g.: Sender thinks that channel is free but receiver senses a busy channel – Packet drop?  Unreliable channel  Highly sensitive to environment (surroundings) and weather  Modest bandwidth  Effects of Propagation has a high impact on higher layer protocols  E.g.: Are the assumptions made by TCP protocol valid under wireless channel?
  • 4. Radio Block Diagram  In today's class:  How does the signal propagate? What are the prominent effects? Coding Modulation Antenna Demodulation Decoding Antenna
  • 5. Signal Propagation Effects  Large scale Path loss  Large distances (w.r.t. to wavelength of the wave) between transmitter and receiver  Small scale Fading  Fluctuation in received signal strengths due to variations over short distances (w.r.t. to wavelength of the wave)  Consider the wavelength of radio signals for 802.11  802.11 a: Frequency = 5.2 GHz Wavelength = 5.8 cm  802.11 b/g: Frequency = 2.4 GHz Wavelength = 12.5 cm
  • 6. Large scale Path loss  General Observation:  As distance increases, the signal strength at receiver decreases  Free-space Propagation model:  Line-of-Sight (LoS) based  E.g.: Satellite Communication, Microwave LoS Radio Links  Signal strength observed at receiver is inversely proportional to square of distance
  • 7. Is it so simple?  But in realistic settings, lot of factors act on the wave  Three major reasons:  Reflection: From objects very large (wrt to wavelength of the wave).  Diffraction: From objects that have sharp irregularities.  Scattering  From objects that are small (when compared to the wavelength)  E.g.: Rough surfaces Figures borrowed from [1]
  • 8. Accounting for Ground Reflection  Two-ray (Ground reflection) model  Considers LoS path + Ground reflected wave path θi θo ELOS Ei Eg ETOT = ELOS + Eg Transmitter Receiver Figures partially borrowed from [Rappaport]
  • 9. Empirical models  Above models are very simplistic in realistic settings  E.g: Points 4 and 5 in the above figure  Alternative Approach:  Use empirical data to construct propagation models  But, can measurements at few places generalize to all scenarios?  Different environments?  Different frequencies?  Recognize "patterns" in the empirical data and use statistical techniques for approximating. Figures borrowed from [1]
  • 10. Empirical Models  Log-distance Path loss model  Uses the idea that both theoretical and empirical evidence suggests that average received signal strength decreases logarithmically with distance  Measure received signal strength near to transmitter and approximate to different distances based on above “reference” observation  Log-normal shadowing  Observes that the environment can be vastly different at two points with the same distance of separation.  Empirical data suggests that the power observed at a location is random and distributed log-normally about the “mean” power
  • 11. Small scale fading  Rapid fluctuations of the signal over short period of time  Invalidates Large-scale path loss  Occurs due to multi-path waves  Two or more waves (e.g: reflected/diffracted/scattered waves)  Such waves differ in amplitude and phase  Can combine constructively or destructively resulting in rapid signal strength fluctuation over small distances Example of Multipath Phase difference between original and reflected wave Figures borrowed from [http://www.iec.org/online/tutorials/smart_ant/topic05.html]
  • 12. Factors affecting fading  Multipath propagation  Speed of mobile/surrounding objects  The frequency of the signal varies if relative motion between transmitter and receiver  E.g: The difference of sound heard when train is moving towards you or away from you  Transmission bandwidth  Discussion related to Lecture-2:  Does mobility increase/decrease the throughput while thinking about mobile computing?  Large scale/ Small scale? Figures borrowed from [http://www.glenbrook.k12.il.us/GBSSCI/PHYS/CLASS/waves/u10l3d3.gif]
  • 13. Link measurement observations  Is propagation disk shaped?  Directionality due to environment?  Does it observe Free-space Propagation model? Figure 1 borrowed from [Aguayo – Link level measurements in 802.11b mesh network] Figure 2 borrowed from [Deepak Ganesan -- Complex] Figure 2: Contour of probability of packet reception wrt distance Figure 1: SNR values v/s distance  Distance v/s observed signal strength
  • 14. Link measurement observations  Shows packet reception rates of 4 different links  Temporal variations over a long time period (96 hours) is significant  Note: This is not the signal strength, but packet reception rate (broadcast packet) Figure borrowed from [Cerpa – Temporal]  Temporal variations
  • 15. Impact of protocol design  MAC protocol  Constant retransmissions needed  Neighborhood discovery  More problems when we consider asymmetry of links  Source can talk to receiver but not vice-versa  ACKs?  Routing protocol  Multi-hop reliability is low after 4 to 5 hops  Consider 5 links each with packet-throughput 95%. Overall throughput (assuming no ACK) is 95%. Overall throughput (assuming no ACK) is ~77%.  Transport protocol  Effect of unpredictable packet losses on TCP?  And other effects like packet delivery success based on relative motion between transmitter and receiver  Multipath effects?