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Wireless Lecture03

Jun 04, 2018

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    Lecture 3

    Wireless Channel Propagation Model

    Prof. Shamik Sengupta

    Office 4210 N

    [email protected]

    http://jjcweb.jjay.cuny.edu/ssengupta/

    Fall 2010

    http://jjcweb.jjay.cuny.edu/ssengupta/http://jjcweb.jjay.cuny.edu/ssengupta/
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    Wireless Communicat ion

    What is wireless communication? Basically the study of how signals travel in the wireless medium

    To understand wireless networking, we first need to understandthe basic characteristics of wireless communications

    How further the signal can travel How strong the signal is

    How much reliable would it be (how frequently the signal strength vary)

    Indoor propagation

    Outdoor propagation and

    Many more

    Wireless communication is significantly different from wiredcommunication

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    Wireless Propagation Character ist ics

    Most wireless radio systems operate inurban area

    No direct line-of-sight (los) betweentransmitter and receiver

    Radio wave propagation attributed to

    Reflection

    Diffraction and

    Scattering

    Waves travel along different paths ofvarying lengths

    Multipath propagation

    Interaction of these waves can beconstructive or destructive

    Reflection (R), diffraction (D) and scattering (S).

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    Wireless Propagation Character ist ics(con td.)

    Strengths of the waves decrease as the distance between Tx and Rxincrease

    We need Propagation models that predict the signal strength at Rxfrom a Tx

    One of the challenging tasks due to randomness and unpredictabilityin the surrounding environment

    PrPt

    d=vt

    v

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    Wireless Propagation Models

    Can be categorized into two types: Large-scale propagation models

    Small-scale propagation models

    Large-scale propagation models

    Propagation models that characterize signal strengths over Tx-Rx separation distance

    Small-scale propagation models

    Characterize received signal strengths varying over short scale Short travel distance of the receiver

    Short time duration

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    Wireless Propagation Models (con td.)

    Large-scale propagation

    Small-scale propagation

    PrPt

    d=vt

    v

    Pr/Pt

    d=vt

    Very slow

    Fast

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    Large-scale propagation model

    Also known as Path loss model There are numerous path loss models

    Free space path loss model

    Simple and good for analysis

    Mostly used for direct line-of-sight

    Not so perfect for non-LOS but can be approximated

    Ray-tracing model

    2-ray propagation model

    Site/terrain specific and can not be generalized easily

    Empirical models

    Modeled over data gathered from experiments

    Extremely specific

    But more accurate in the specific environment

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    Free space Path Loss Model

    What is the general principle? The received power decays as a function of Tx-Rxseparation distance raised to some power

    i.e., power-law function

    Path loss for unobstructed LOS path

    Power falls off :

    Proportional to d2

    2)(

    d

    PdP tr

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    Free space Path Loss Model (con td.)

    LdGGPdP rttr 22

    2

    )4()(

    2

    4,

    eAGwhere

    fcand ,

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    Free space Path Loss (contd .)

    What is the path loss? Represents signal attenuation

    What will be the order of path loss for a FM radio system thattransmits with 100 kW with 50 km range?

    Also calculate: what will be the order of path loss for a Wi-Firadio system that transmits with 0.1 W with 100 m range?

    r

    t

    P

    P

    powerRx

    powerTx

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    Path Loss in dB

    It is difficult to express Path loss using transmit/receivepower

    Can be very large or

    Very small

    Expressed as a positive quantity measured in dB

    dB is a unit expressed using logarithmic scale

    Widely used in wireless

    With unity antenna gain,

    22

    2

    )4(log10log10)(

    d

    GG

    P

    PdBPL rt

    r

    t

    22

    2

    )4(log10log10)(

    dP

    PdBPL

    r

    t

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    dBm and dBW

    dBm and dBW are other two variations of dB dB references two powers (Tx and Rx)

    dBm expresses measured power referenced to one mW

    Particularly applicable for very low received signal strength

    dBW expresses measured power referenced to one watt

    dBm Widely used in wireless

    P in mW

    In a wireless card specification, it is written that typical range forIEEE 802.11 received signal strength is -60 to -80 dBm. What isthe received signal strength range in terms of watt or mW?

    mW

    PdBmx

    1log10

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    Relat ionsh ip between dB and dBm

    What is the relationship between dB and dBm?

    In reality, no such relationship exists

    dB is dimensionless

    dB is 10 log(value/value) and dBm is 10 log (value/1miliwatt)

    However, we can make a quick relationship between dBm anddBW and use the concept wisely!

    Win

    Win

    mWin

    dBmx

    x

    x

    x

    310

    310

    10

    10

    10/10

    10

    dBWinx

    dBWinx

    Win

    x

    30

    )310(10

    103

    10

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    Back to Path Lo ss model

    We saw Path loss expressed in dB

    Note, the above eqn does not hold for d=0

    For this purpose, a close-in distance d0is used as a reference point

    It is assumed that the received signal strength at d0is known

    Received signal strength is then calculated relative to d0

    For a typical Wi-Fi analysis, d0 can be 1 m.

    22

    2

    )4(log10log10)(

    dP

    PdBPL

    r

    t

    0dd

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    Back to Path Loss model (con td.)

    The received power at a distance d is then

    In dBm,

    2

    00)()(

    d

    ddPdP rr

    mW

    d

    ddP

    dBmdPr

    r1

    )(

    log10)()(

    2

    00

    d

    d

    mW

    dPdBmdP rr

    00 log201

    )(log10)()(

    d

    ddBmdPdBmdP rr

    00 log20))(()()(

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    Numerical example

    If a transmitter transmits with 50 W with a 900 MHz carrierfrequency, find the received power in dBm at a free space distanceof 100 m from the transmitter. What is the received power in dBmat a free space distance of 10 km?

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    Path Loss Model General ized

    In reality, direct LOS may not exist in urban areas

    Free space Path Loss model is therefore generalized

    n is called the Path Loss exponent

    Indicates the rate at which the Path Loss increases withdistance d, obstructions in the path, surrounding environment

    The worse the environment is the greater the value of n

    n

    rrd

    ddPdP

    00)()(

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    Path Lo ss Exponents fo r di f ferent environments

    Environment Path Loss Exponent, n

    Free space 2

    Urban area cellular radio 2.73.5

    Urban area cellular (obstructed) 35

    In-building line-of-sight 1.61.8

    Obstructed in-building 46

    Obstructed in-factories 23

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    Path Loss Model General ized (contd.)

    Generalized Path Loss referenced in dB scale

    Received signal strength referenced in dBm scale

    n

    rrd

    ddPdP

    00)()(

    00

    log10)(

    log10)(

    log10d

    dn

    dP

    P

    dP

    P

    r

    t

    r

    t

    0

    0 log10)()(d

    dndPLdPL

    d

    d

    nmW

    dP

    mW

    dP rr 00log101

    )(

    log101

    )(

    log10

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    Path Loss Example

    Consider Wi-Fi signal in this building. Assume power at areference point d0is 100mW. The reference point d0=1m.Calculate your received signal strength at a distance, d=100m.Also calculate the power received in mW. Assume n=4.

    This is a typical Wi-Fi received signal strength.

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    Indoo r Propagat ion Model

    The indoor radio channel differs from the traditional mobile

    radio channel in outdoor

    Distances covered are much smaller

    Variability of the environment is much greater

    Propagation inside buildings strongly influenced by specificfeatures

    Layout and building type

    Construction materials

    Even door open or closed

    Same floor or different floors

    Partition Losses

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    Part i t ion Losses

    Partition Losses

    Same floor

    Between floors

    Characterized by a new factor called Floor Attenuation Factors (FAF)

    Based on building materials

    FAF mostly empirical (computed over numerous tests)

    For example,

    FAF through one floor approx. 13 dB

    Two floors 18.7 dB

    Three floors 25 dB and so on

    ][log10)()(0

    0 dBFAFd

    dndPLdPL SF

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    Cellular Model (sig nal to in terference)

    From the propagation model,

    Lets combine todays concept with last weeks cellular concept

    Lets find out signal to interference

    In a cellular radio system with 7-cell reuse pattern anda 6 co-channel interferers, what is the signal tointerference in dB? Assume Path loss exponent = 4.

    n

    rr

    d

    ddPdP

    00)()(

    m

    i

    iI

    S

    I

    S

    1

    m co-channel

    interferer

    Cell radius R

    Co-channel

    interferer distance Di

    m

    i

    n

    i

    n

    D

    R

    1

    m

    RD n

    )/(

    Q: co-channel

    Reuse ratio

    mN

    n

    )3(

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    Numerical examp le (sig nal to interference)

    In a cellular radio system, the required signal tointerference must be at least 15 dB. What should bethe cluster size (N) if Path loss exponent = 3. Assume6 co-channel interferers.

    Soln hint: Lets assume N =7

    I

    S

    m

    N n)3(

    04.16

    6

    )7*3( 3

    To convert it to dB,

    do 10log(16.04) = 12.05 dB

    This is still less than reqd 15 dB.

    So we need to use a larger N. Try for next feasible N.

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    Mobile Radio Propagation : Small scale fading

    What is small-scale fading?

    In contrast to large-scale propagation we studied so far

    Small-scale fading describe rapid fluctuation of the signal over

    short period of time and/or

    short travel distance

    PrPt

    d=vt

    v

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    Facto rs inf luencing sm all-scale fading

    Multipath propagation

    Interference between two or more versions of the transmitted signal

    Arrive at the receiver at slightly different times

    Speed of the Mobile

    Relative motion between Base Station and the mobile Signals travel varying distances

    Speed of the surrounding objects

    Typically this can be ignored if the obstacles are fixed

    May not be so in a busy urban area