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    3.1

    Chapter 3

    Data and Signals

    Copyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display.

    Part 2

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    3.2

    3

    -

    3 DIGITAL SIGNALS

    I n

    addition

    to

    being

    represented

    by

    an

    analog

    signal,

    information

    can

    also

    be

    represented

    by

    a

    digital

    signal

    .For

    example,

    a

    1

    can

    be

    encoded

    as

    a

    positive

    voltage

    and

    a

    0

    as

    zero

    voltage

    .

    A

    digital

    signal

    can

    have

    more

    than

    two

    levels

    .

    I n

    this

    case,

    we

    can

    send

    more

    than

    1

    bit

    for

    each

    level

    .

    Bit Rate

    Bit Length

    Digital Signal as a Composite Analog Signal

    Application Layer

    Topics discussed in this section:

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    3.3

    Figure 3.17 Two digi tal signals: one with two signal levels and the otherwith four signal levels

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    3.4

    A digital signal has eight levels. How many bits are

    needed per level? We calculate the number of bits from

    the formula

    Example 3.16

    Each signal level is represented by 3 bits.

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    3.5

    A digital signal has nine levels. How many bits are

    needed per level? We calculate the number of bits by

    using the formula. Each signal level is represented by

    3.17 bits. H owever, this answer is not realistic. The

    number of bits sent per level needs to be an integer as

    well as a power of 2. For this example, 4 bits can

    represent one level.

    Example 3.17

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    3.6

    Assume we need to download text documents at the rate

    of 100 pages per minute. What is the required bit rate of

    the channel?

    Solution

    A page is an average of 24 lines with 80 characters in

    each line. I f we assume that one character requi res 8

    bits, the bit rate is

    Example 3.18

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    A digitized voice channel, as we wil l see in Chapter 4, ismade by digitizing a 4-kHz bandwidth analog voice

    signal. We need to sample the signal at twice the highest

    frequency (two samples per hertz). We assume that each

    sample requi res 8 bits. What is the requi red bit rate?

    Solution

    The bit rate can be calculated as

    Example 3.19

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    What is the bit rate for high-defini tion TV (HDTV)?

    Solution

    HDTV uses digital signals to broadcast high quality

    video signals. The HDTV screen is normally a ratio of16 : 9. There are 1920 by 1080 pixels per screen, and the

    screen is renewed 30 times per second. Twenty-four bits

    represents one color pixel.

    Example 3.20

    The TV stations reduce this rate to 20 to 40 Mbps

    through compression.

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    Figure 3.18 The time and frequency domains of per iodic and nonper iodicdigital signals

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    A digital signal is a composite analogsignal with an infinite bandwidth.

    Note

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    Figure 3.19 Baseband transmission

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    Figure 3.20 Bandwidths of two low-pass channels

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    Figure 3.21 Baseband transmission using a dedicated medium

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    Baseband transmission of a digital

    signal that preserves the shape of thedigital signal is possible only if we have

    a low-pass channel with an infinite or

    very wide bandwidth.

    Note

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    An example of a dedicated channel where the entirebandwidth of the medium is used as one single channel

    is a LAN. Almost every wired LAN today uses a

    dedicated channel for two stations communicating with

    each other. In a bus topology LAN with multipoint

    connections, only two stations can communicate with

    each other at each moment in time (timesharing); the

    other stations need to refrain f rom sending data. I n a

    star topology LAN, the entire channel between each

    station and the hub is used for communication between

    these two enti ties.

    Example 3.21

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    Figure 3.22 Rough approximation of a digital signal using the f ir st harmonic(fundamental) for worst case

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    Figure 3.23 Simulating a digital signal wi th f irst three harmonics

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    In baseband transmission, the required bandwidth is

    proportional to the bit rate;

    if we need to send bits faster, we need more bandwidth.

    Note

    In baseband transmission, the required

    bandwidth is proportional to the bit rate;if we need to send bits faster, we need

    more bandwidth.

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    Table 3.2 Bandwidth requirements

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    3.20

    What is the requi red bandwidth of a low-pass channel ifwe need to send 1 Mbps by using baseband transmission?

    Solution

    The answer depends on the accuracy desired.a.The minimum bandwidth, is B = bit rate /2, or 500 kHz.

    b.A better solution is to use the first and the third

    harmonics with B = 3 500 kHz = 1.5 MHz.

    c.Sti l l a better solution is to use the first, thi rd, and fi f th

    harmonics with B = 5 500 kHz = 2.5 MHz.

    Example 3.22

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    3.21

    We have a low-pass channel with bandwidth 100 kHz.What is themaximum bit rate of this

    channel?

    SolutionThe maximum bit rate can be achieved if we use the first

    harmonic. The bit rate is 2 times the available bandwidth,

    or 200 kbps.

    Example 3.22

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    3.22

    Figure 3.24 Bandwidth of a bandpass channel

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    3.23

    If the available channel is a bandpass

    channel, we cannot send the digital

    signal directly to the channel;

    we need to convert the digital signal to

    an analog signal before transmission.

    Note

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    3.24

    Figure 3.25 Modulation of a digital signal for transmission on a bandpasschannel

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    3.25

    An example of broadband transmission usingmodulation is the sending of computer data through a

    telephone subscriber l ine, the line connecting a resident

    to the central telephone off ice. These lines are designed

    to carry voice with a limited bandwidth. The channel isconsidered a bandpass channel. We convert the digital

    signal f rom the computer to an analog signal, and send

    the analog signal. We can install two converters to

    change the digital signal to analog and vice versa at the

    receiving end. The converter, in this case, is called a

    modemwhich we discuss in detail in Chapter 5.

    Example 3.24

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    3.26

    A second example is the digital cel lular telephone. Forbetter reception, digital cellular phones convert the

    analog voice signal to a digital signal (see Chapter 16).

    Al though the bandwidth allocated to a company

    providing digital cellular phone service is very wide, we

    sti l l cannot send the digital signal without conversion.

    The reason is that we only have a bandpass channel

    available between caller and callee. We need to convertthe digitized voice to a composite analog signal before

    sending.

    Example 3.25

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    3.27

    3-4 TRANSMISSION IMPAIRMENT

    Signalstravelthroughtransmissionmedia,whicharenotperfect.Theimperfectioncausessignalimpairment.This

    meansthatthesignalatthebeginningofthemediumis

    notthesameasthesignalattheendofthemedium.

    Whatissentisnotwhatisreceived.Threecausesofimpairmentareattenuation,distortion,andnoise.

    Attenuation

    Distortion

    Noise

    Topics discussed in this section:

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    3.28

    Figure 3.26 Causes of impairment

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    3.29

    Figure 3.27 Attenuation

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    3.30

    Suppose a signal travels through a transmission mediumand i ts power is reduced to one-half . This means that P2is (1/2)P1. In this case, the attenuation (loss of power)

    can be calculated as

    Example 3.26

    A loss of 3 dB (3 dB) is equivalent to losing one-half

    the power.

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    3.31

    A signal travels through an amplif ier, and its power isincreased 10 times. This means that P2= 10P1. I n this

    case, the amplif ication (gain of power) can be calculated

    as

    Example 3.27

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    3.32

    One reason that engineers use the decibel to measure thechanges in the strength of a signal is that decibel

    numbers can be added (or subtracted) when we are

    measur ing several points (cascading) instead of just two.

    I n F igure 3.27 a signal travels from point 1 to point 4. I nthis case, the decibel value can be calculated as

    Example 3.28

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    3.33

    Figure 3.28 Decibels for Example 3.28

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    3.34

    Sometimes the decibel is used to measure signal powerin mil l iwatts. In this case, it is referred to asdBmand is

    calculated as dBm= 10 log10 Pm, where Pmis the power

    in mi l l iwatts. Calculate the power of a signal wi th dBm=

    30.

    Solution

    We can calculate the power in the signal as

    Example 3.29

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    3.35

    The loss in a cable is usually def ined in decibels per

    ki lometer (dB/km). I f the signal at the beginning of a

    cable with0.3 dB/km has a power of 2 mW, what is the

    power of the signal at 5 km?

    SolutionThe loss in the cable in decibels is 5 (0.3) =1.5 dB.

    We can calculate the power as

    Example 3.30

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    3.36

    Figure 3.29 Distortion

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    3.37

    Figure 3.30 Noise

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    3.38

    The power of a signal is 10 mW and the power of thenoise is 1W; what are the values of SNR and SNRdB?

    Solution

    The values of SNR and SNRdBcan be calculated as

    follows:

    Example 3.31

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    3.39

    The values of SNR and SNRdBfor a noiseless channelare

    Example 3.32

    We can never achieve this ratio in real li fe; i t is an ideal.

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    3.40

    Figure 3.31 Two cases of SNR: a high SNR and a low SNR

    3

    5 DATA RATE LIMITS

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    3.41

    3-5 DATA RATE LIMITS

    Averyimportantconsiderationindatacommunications

    ishowfastwecansenddata,inbitspersecond,overachannel.Dataratedependsonthreefactors:

    1.Thebandwidthavailable

    2.Thelevelofthesignalsweuse

    3.Thequali tyofthechannel(thelevelofnoise)

    Noiseless Channel: Nyquist Bit Rate

    Noisy Channel: Shannon Capacity

    Using Both Limits

    Topics discussed in this section:

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    3.42

    Increasing the levels of a signal mayreduce the reliability of the system.

    Note

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    3.43

    Does theNyquist theorembit rate agree with theintui tive bit rate descr ibed in baseband transmission?

    Solution

    They match when we have only two levels. We said, in

    baseband transmission, the bit rate is 2 times the

    bandwidth if we use only the first harmonic in the worst

    case. However, the Nyquist formula is more general thanwhat we der ived intuitively; it can be applied to baseband

    transmission and modulation. Also, it can be applied

    when we have two or more levels of signals.

    Example 3.33

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    3.44

    Consider a noiseless channel wi th a bandwidth of 3000Hz transmitting a signal with two signal levels. The

    maximum bit rate can be calculated as

    Example 3.34

    E l 3 35

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    3.45

    Consider the same noiseless channel transmitting asignal wi th four signal levels (for each level, we send 2

    bits). The maximum bit rate can be calculated as

    Example 3.35

    E l 3 36

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    3.46

    We need to send 265 kbps over a noiseless channel witha bandwidth of 20 kHz. How many signal levels do we

    need?

    Solution

    We can use the Nyquist formula as shown:

    Example 3.36

    Since this result is not a power of 2, we need to eitherincrease the number of levels or reduce the bit rate. I f we

    have 128 levels, the bit rate is 280 kbps. I f we have 64

    levels, the bit rate is 240 kbps.

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    E l 3 39

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    3.49

    The signal-to-noise ratio is often given in decibels.

    Assume that SNRdB= 36 and the channel bandwidth is 2

    MHz. The theoretical channel capacity can be calculated

    as

    Example 3.39

    E l 3 40

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    3.50

    For practical purposes, when the SNR is very high, wecan assume that SNR + 1 is almost the same as SNR. I n

    these cases, the theoretical channel capacity can be

    simpli f ied to

    Example 3.40

    For example, we can calculate the theoretical capacity of

    the previous example as

    E l 3 41

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    3.51

    We have a channel with a 1-MHz bandwidth. The SNR

    for this channel is 63. What are the appropr iate bit rate

    and signal level?

    Solution

    F irst, we use the Shannon formula to find the upper

    limit.

    Example 3.41

    E l 3 41 ( ti d)

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    3.52

    The Shannon formula gives us 6 Mbps, the upper l imit.

    For better performance we choose something lower, 4

    Mbps, for example. Then we use the Nyquist formula to

    f ind the number of signal levels.

    Example 3.41 (continued)

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    3.53

    The Shannon capacity gives us the

    upper limit; the Nyquist formula tells ushow many signal levels we need.

    Note

    3

    -

    6 PERFORMANCE

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    3.54

    3 6 PERFORMANCE

    Oneimportantissueinnetworkingistheperformanceof

    thenetworkhowgoodisi t?Wediscussquali tyofservice,anoverallmeasurementofnetworkperformance,

    in greaterdetailin Chapter24. In thissection, we

    introducetermsthatweneedforfuturechapters.

    Bandwidth

    Throughput

    Latency (Delay)

    Bandwidth-Delay Product

    Topics discussed in this section:

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    3.55

    In network ing , we use the term

    bandwidth in two con texts .

    The first, bandwidth in hertz, refers tothe range of frequencies in acomposite signal or the range of

    frequencies that a channel can pass.

    The second, bandwidth in bits per second, refers to the speed of bit

    transmission in a channel or link.

    Note

    Example 3 42

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    3.56

    The bandwidth of a subscriber line is 4 kHz for voice ordata. The bandwidth of thi s l ine for data transmission

    can be up to 56,000 bps using a sophisticated modem to

    change the digital signal to analog.

    Example 3.42

    Example 3 43

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    3.57

    I f the telephone company improves the quality of the lineand increases the bandwidth to 8 kHz, we can send

    112,000 bps by using the same technology as mentioned

    in Example 3.42.

    Example 3.43

    Example 3 44

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    3.58

    A network wi th bandwidth of 10 Mbps can pass only anaverage of 12,000 frames per minute with each frame

    carrying an average of 10,000 bits. What is the

    throughput of this network?

    Solution

    We can calculate the throughput as

    Example 3.44

    The throughput is almost one-f i f th of the bandwidth in

    this case.

    Example 3 45

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    3.59

    What is the propagation time if the distance between thetwo points is 12,000 km? Assume the propagation speed

    to be 2.4 108 m/s in cable.

    SolutionWe can calculate the propagation time as

    Example 3.45

    The example shows that a bit can go over the Atlantic

    Ocean in only 50 ms if there is a direct cable between the

    source and the destination.

    Example 3 46

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    3.60

    What are the propagation time and the transmissiontime for a 2.5-kbyte message (an e-mail ) if the

    bandwidth of the network is 1 Gbps? Assume that the

    distance between the sender and the receiver is 12,000

    km and that l ight travels at 2.4 108 m/s.

    Solution

    We can calculate the propagation and transmission time

    as shown on the next sl ide:

    Example 3.46

    Example 3 46 (continued)

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    3.61

    Note that in this case, because the message is short and

    the bandwidth is high, the dominant factor is the

    propagation time, not the transmission time. Thetransmission time can be ignored.

    Example 3.46 (continued)

    Example 3 47

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    3.62

    What are the propagation time and the transmissiontime for a 5-M byte message (an image) if the bandwidth

    of the network is 1 Mbps? Assume that the distance

    between the sender and the receiver is 12,000 km and

    that light travels at 2.4 108m/s.

    Solution

    We can calculate the propagation and transmission

    times as shown on the next sl ide.

    Example 3.47

    Example 3 47 (continued)

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    3.63

    Note that in this case, because the message is very long

    and the bandwidth is not very high, the dominant factor

    is the transmission time, not the propagation time. Thepropagation time can be ignored.

    Example 3.47 (continued)

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    3.64

    Figure 3.32 F il li ng the link with bits for case 1

    Example 3 48

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    3.65

    We can think about the link between two points as apipe. The cross section of the pipe represents the

    bandwidth, and the length of the pipe represents the

    delay. We can say the volume of the pipe def ines the

    bandwidth-delay product, as shown in F igure 3.33.

    Example 3.48

    Fi 3 33

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    3.66

    Figure 3.33 F il li ng the link with bits in case 2

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    3.67

    The bandwidth-delay product defines

    the number of bits that can fill the link.

    Note

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    3.68

    Figure 3.33 Concept of bandwidth-delay product

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    Tw=1 msec, 1/Tw =1kHz, Tp=2 msec, 1/Tp=5kH z

    Envelope zeros @ mul tiple integers of 2/Tw, peaks @ multiple integers of 1/Tw

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    periodic

    discrete spectral components

    Peri od = 5 msec (peaks)

    Width = 2.5 msec (zeros except at zero Hz)

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