Comm Ch08 Digmod En

download Comm Ch08 Digmod En

of 80

Transcript of Comm Ch08 Digmod En

  • 8/12/2019 Comm Ch08 Digmod En

    1/80

    2013/2014 Meixia Tao @ SJTU

    Principles of ommunicationsMeixia Tao

    Shanghai Jiao Tong University

    Chapter 8: Digital Modulation TechniquesTextbook: Ch 8.4 8.5, Ch 10.1-10.5

    1

  • 8/12/2019 Comm Ch08 Digmod En

    2/80

    2013/2014 Meixia Tao @ SJTU

    Topics to be Covered

    Binary digital modulation

    M-ary digital modulation

    Tradeoff study

    data basebandDigital

    modulator

    Bandpass

    channel

    Digital

    demodulatorBPFdetector

    Noise

    2

  • 8/12/2019 Comm Ch08 Digmod En

    3/80

    2013/2014 Meixia Tao @ SJTU

    Digital Modulation

    The message signal is transmitted by a sinusoidal carrierwave

    In digital communications, the modulation process

    corresponds to switching orkeying the amplitude, frequency,

    orphase of the carrier in accordance with the incomingdigital data

    Three basic digital modulation techniques Amplitude-shift keying (ASK) - special case of AM

    Frequency-shift keying (FSK) - special case of FM Phase-shift keying (PSK) - special case of PM

    Will use signal space approach in receiver design and

    performance analysis

    3

  • 8/12/2019 Comm Ch08 Digmod En

    4/80

    2013/2014 Meixia Tao @ SJTU

    8.1 Binary Modulation Types

    In binary signaling, the modulator produces one of twodistinct signals in response to 1 bit of source data at atime.

    Binary modulation types

    Binary PSK (BPSK)

    Binary FSK

    Binary ASK

    4

  • 8/12/2019 Comm Ch08 Digmod En

    5/80

    2013/2014 Meixia Tao @ SJTU

    Binary Phase-Shift Keying (BPSK)

    Modulation

    , , bit duration

    : carrier frequency, chosen to be for some fixedinteger or

    : transmitted signal energy per bit, i.e.

    The pair of signals differ only in a relative phase shift of 180degrees

    0 1 1 0 1 0 0 1

    1

    0

    1 /c bf T>>

    5

  • 8/12/2019 Comm Ch08 Digmod En

    6/80

    2013/2014 Meixia Tao @ SJTU

    Clearly, there is one basis function of unit energy

    Then

    A binary PSK system is therefore characterized by having

    a signal space that is one-dimensional (i.e. N=1), and with

    two message points (i.e. M = 2)

    Signal Space Representation for

    BPSK

    s1s20

    6

  • 8/12/2019 Comm Ch08 Digmod En

    7/80

    2013/2014 Meixia Tao @ SJTU

    Decision Rule of BPSK

    Assume that the two signals are equally likely, i.e. P(s1) =P(s2) = 0.5. Then the optimum decision boundary is themidpoint of the line joining these two message points

    Decision rule:

    Guess signal s1(t) (or binary 1) was transmitted if thereceived signal point r falls in region R1

    Guess signal s2(t) (or binary 0) was transmitted otherwise

    s1s2

    Region R1Region R2

    0

    7

  • 8/12/2019 Comm Ch08 Digmod En

    8/80

    2013/2014 Meixia Tao @ SJTU

    Proof of the Decision Rule

    Observation scalar (output of the demodulator) r is

    where n represents the AWGN component, which hasmean zero and variance

    Thus, the likelihood function of r is

    If s1 is transmitted

    If s2 is transmitted

    8

  • 8/12/2019 Comm Ch08 Digmod En

    9/80

    2013/2014 Meixia Tao @ SJTU

    Recall ML decision criterion:

    Thus

    And

    Finally

    Choose s1> r

    2

    When r1< r

    2, r falls inside region R2 and the receiver decides in

    favor of s2

    Message point

    Message

    point

    Decision boundary

    R1

    R2

    17

  • 8/12/2019 Comm Ch08 Digmod En

    18/80

    2013/2014 Meixia Tao @ SJTU

    Probabil ity of Error for Binary FSK

    Given that s1 is transmitted,

    Since the condition r1< r

    2corresponds to the receiver

    making a decision in favor of symbol s2, the conditional

    probability of error given s1 is transmitted is given by

    Define a new random variable

    Since n1 and n2 are i.i.d with

    Thus, n is also Gaussian with

    and

    18

  • 8/12/2019 Comm Ch08 Digmod En

    19/80

    2013/2014 Meixia Tao @ SJTU

    By symmetry

    Since the two signals are equally likely to be

    transmitted, the average probability of errorfor

    coherent binary FSK is

    3 dB worse than BPSK

    i.e. to achieve the same Pe, BFSK needs 3dB more

    transmission power than BPSK

    19

  • 8/12/2019 Comm Ch08 Digmod En

    20/80

    2013/2014 Meixia Tao @ SJTU

    Binary FSK Transmitter

    On-off signalling form

    0

    1

    20

  • 8/12/2019 Comm Ch08 Digmod En

    21/80

    2013/2014 Meixia Tao @ SJTU

    Coherent Binary FSK Receiver

    bT

    dt0

    bT

    dt0

    Decision

    Device+

    Choose 1 if l>0

    Choose 0 otherwise

    +

    -

    21

  • 8/12/2019 Comm Ch08 Digmod En

    22/80

    2013/2014 Meixia Tao @ SJTU

    Binary ASK

    Modulation

    Average energy per bit

    0 1 1 0 1 0 0 1

    (On-off signalling)

    1

    0

    s1s2

    Region R1Region R2

    0

    22

  • 8/12/2019 Comm Ch08 Digmod En

    23/80

    2013/2014 Meixia Tao @ SJTU

    Probability of Error for Binary ASK

    Average probability of error is

    Exercise: Prove Pe

    Identical to that of coherent binary FSK

    23

  • 8/12/2019 Comm Ch08 Digmod En

    24/80

    2013/2014 Meixia Tao @ SJTU

    Probability of Error and the Distance

    Between Signals

    These expressions illustrate the dependence of the error

    probability on the distance between two signal points. Ingeneral,

    BPSK BFSK BASK

    24

  • 8/12/2019 Comm Ch08 Digmod En

    25/80

    2013/2014 Meixia Tao @ SJTU

    0 2 4 6 8 10 12 1410

    -7

    10-6

    10-5

    10-4

    10-3

    10-2

    10-1

    100

    Eb/No in [dB]

    Probability

    ofB

    itError

    PSK

    ASK/FSK

    3dB

    Probability of Error Curve for BPSK and FSK/ASK

    e.g. 25

  • 8/12/2019 Comm Ch08 Digmod En

    26/80

    2013/2014 Meixia Tao @ SJTU

    Example #1

    Binary data are transmitted over a microwave linkat the rate of 106 bits/sec and the PSD of the

    noise at the receiver input is 10-10 watts/Hz.

    a) Find the average carrier powerrequired tomaintain an average probability of error

    for coherent binary FSK.

    b) Repeat the calculation in a) for noncoherent

    binary FSK

    26

  • 8/12/2019 Comm Ch08 Digmod En

    27/80

    2013/2014 Meixia Tao @ SJTU 27

    We have discussed

    Coherent modulation schemes, .e.g.

    BPSK, BFSK, BASK They needs coherent detection,

    assuming that the receiver is able to

    detect and track the carrier waves

    phase

    Update

    We now consider:

    Non-coherent detection on binary FSK

    Differential phase-shift keying (DPSK)

    In many practical situations, strict phase

    synchronization is not possible. In these

    situations, non-coherent reception is required.

    27

  • 8/12/2019 Comm Ch08 Digmod En

    28/80

    2013/2014 Meixia Tao @ SJTU

    8.2: Non-coherent scheme: BFSK

    Consider a binary FSK system, the two signals are

    Where and are unknown random phases with

    uniform distribution

    28

  • 8/12/2019 Comm Ch08 Digmod En

    29/80

    2013/2014 Meixia Tao @ SJTU

    Signal Space Representation

    No matter what the two phases are, the signalscan be expressed as a linear combination of the

    four basis functions

    Signal space representation

    29

  • 8/12/2019 Comm Ch08 Digmod En

    30/80

    2013/2014 Meixia Tao @ SJTU

    Correlating the received signal r(t) with the four basis

    functions produces the vector representation of thereceived signal

    Detector

    30

  • 8/12/2019 Comm Ch08 Digmod En

    31/80

    2013/2014 Meixia Tao @ SJTU

    Decision Rule for Non-coherent FSK

    ML criterion, assume P(s1) = P(s2):

    Conditional pdf

    Similarly,

    Choose s1> envelop detector

    Carrier phase is irrelevant in decision making

    34

  • 8/12/2019 Comm Ch08 Digmod En

    35/80

    2013/2014 Meixia Tao @ SJTU

    Structure of Non-Coherent Receiver for

    Binary FSK

    It can be shown that

    Comparator

    (selectthe

    largest)

    (For detailed proof, see Section 10.4.2 in the textbook )

    35

  • 8/12/2019 Comm Ch08 Digmod En

    36/80

  • 8/12/2019 Comm Ch08 Digmod En

    37/80

    2013/2014 Meixia Tao @ SJTU

    Differential PSK (DPSK)

    DPSK can be viewed as the non-coherent versionof PSK.

    Phase synchronization is eliminated using

    differential encoding Encoding the information in phase difference

    between successive signal transmission

    In effect:

    to send 0, we phase advance the current signal

    waveform by 1800 ;

    to send 1, we leave the phase unchanged

    37

  • 8/12/2019 Comm Ch08 Digmod En

    38/80

    2013/2014 Meixia Tao @ SJTU

    DPSK (contd)

    Provided that the unknown phase contained inthe received wave varies slowly (constant over two

    bit intervals), the phase difference between

    waveforms received in two successive bit interval

    will be independent of

    38

  • 8/12/2019 Comm Ch08 Digmod En

    39/80

    2013/2014 Meixia Tao @ SJTU

    Generation of DPSK signal

    We can generate DPSK signals by combining two basicoperations

    Differential encoding of the information binary bits

    Phase shift keying

    The differential encoding process starts with an arbitraryfirst bit, serving as reference

    Let {mi} be input information binary bit sequence, {di} bethe differentially encoded bit sequence

    If the incoming bit miis 1, leave the symbol d

    iunchanged

    with respect to the previous bit di-1

    If the incoming bit mi is 0, change the symbol di with respectto the previous bit di-1

    39

  • 8/12/2019 Comm Ch08 Digmod En

    40/80

    2013/2014 Meixia Tao @ SJTU

    Illustration

    The reference bit is chosen arbitrary, here taken as 1

    DPSK transmitter diagram

    1 0 0 1 0 0 1 1Binary data

    1 1 0 1 1 0 1 1 1

    0 0 0 0 0 0 0

    Initial bit

    Differentially

    encoded

    binary data

    TransmittedPhase

    mi

    di___________

    1 iii mdd =

    40

  • 8/12/2019 Comm Ch08 Digmod En

    41/80

  • 8/12/2019 Comm Ch08 Digmod En

    42/80

    2013/2014 Meixia Tao @ SJTU

    Error Probability of DPSK

    The differential detector is suboptimal in the senseof error performance

    It can be shown that

    42

  • 8/12/2019 Comm Ch08 Digmod En

    43/80

    2013/2014 Meixia Tao @ SJTU

    Summary of Pe for Different Binary

    Modulations

    Coherent PSK

    Coherent ASK

    Coherent FSK

    Non-Coherent FSK

    DPSK

    43

  • 8/12/2019 Comm Ch08 Digmod En

    44/80

    2013/2014 Meixia Tao @ SJTU

    0 2 4 6 8 10 12 1410

    -7

    10-6

    10-5

    10-4

    10

    -3

    10-2

    10-1

    100

    Eb/No in [dB]

    Probability

    of

    BitError

    BPSK(QPSK)

    ASK/FSK

    NC FSK

    DPSK

    Pe Plots for Different Binary Modulations

    44

  • 8/12/2019 Comm Ch08 Digmod En

    45/80

    2013/2014 Meixia Tao @ SJTU

    We have discussed binary case

    Coherent modulation techniques:

    BPSK, BFSK, BASK

    Noncoherent modulation techniques:

    Non-coherent FSK, DPSK

    Update

    We now consider:

    M-ary modulation techniques

    MPSK

    MQAM

    MFSK

    45

  • 8/12/2019 Comm Ch08 Digmod En

    46/80

    2013/2014 Meixia Tao @ SJTU

    8.3 M-ary Modulation Techniques

    In binary data transmission, send only one of two possiblesignals during each bit interval Tb

    In M-ary data transmission, send one of M possible signalsduring each signaling interval T

    In almost all applications, M = 2

    n

    and T = nTb, where n isan integer

    Each of the M signals is called a symbol

    These signals are generated by changing the amplitude,

    phase or frequency of a carrier in M discrete steps. Thus, we have M-ary ASK, M-ary PSK, and M-ary FSK

    digital modulation schemes

    46

  • 8/12/2019 Comm Ch08 Digmod En

    47/80

    2013/2014 Meixia Tao @ SJTU

    Binary is a special case of M-ary

    Another way of generating M-ary signals is to

    combine different methods of modulation into

    hybrid forms

    For example, we may combine discrete changes

    in both the amplitude and phase of a carrier to

    produce M-ary amplitude phase keying.A specialform of this hybrid modulation is M-ary QAM

    (MQAM)

    47

  • 8/12/2019 Comm Ch08 Digmod En

    48/80

    2013/2014 Meixia Tao @ SJTU

    M-ary Phase-Shift Keying (MPSK)

    The phase of the carrier takes on M possible values:

    Signal set:

    = Energy per symbol

    Basis functions

    1c

    fT

    >>

    48

  • 8/12/2019 Comm Ch08 Digmod En

    49/80

    2013/2014 Meixia Tao @ SJTU

    MPSK (contd)

    Signal space representation

    49

  • 8/12/2019 Comm Ch08 Digmod En

    50/80

    2013/2014 Meixia Tao @ SJTU

    MPSK Signal Constellations

    BPSK QPSK 8PSK 16PSK

    50

  • 8/12/2019 Comm Ch08 Digmod En

    51/80

    2013/2014 Meixia Tao @ SJTU

    The Euclidean distance between any two signal points in the

    constellation is

    The minimum Euclidean distance is

    plays an important role in determining error performance as

    discussed previously (union bound)

    In the case of PSK modulation, the error probability is dominated by

    the erroneous selection of either one of the two signal points adjacent

    to the transmitted signal point. Consequently, an approximation to the symbol error probability is

    2 ( )

    2 1 cosmn m n sm n

    d E M

    = =

    s s

    min

    22 1 cos 2 sin

    s sd E EM M

    = =

    min

    0

    / 22 2 2 sin

    / 2MPSK s

    dP Q Q E

    MN

    =

    51

  • 8/12/2019 Comm Ch08 Digmod En

    52/80

    2013/2014 Meixia Tao @ SJTU

    Exercise

    Consider the M=2, 4, 8 PSK signal constellations.All have the same transmitted signal energy Es.

    Determine the minimum distance between

    adjacent signal points For M=8, determine by how many dB the

    transmitted signal energy Es must be increased to

    achieve the same as M =4.

    mind

    mind

    52

  • 8/12/2019 Comm Ch08 Digmod En

    53/80

    2013/2014 Meixia Tao @ SJTU

    Error Performance of MPSK

    For large M, doubling the

    number of phases requires an

    additional 6dB/bit to achieve

    the same performance

    4dB 5dB 6dB

    53

    M ary Quadrature Amplitude Modulation

  • 8/12/2019 Comm Ch08 Digmod En

    54/80

    2013/2014 Meixia Tao @ SJTU

    M-ary Quadrature Amplitude Modulation

    (MQAM)

    In an M-ary PSK system, in-phase and quadraturecomponents are interrelated in such a way that the

    envelope is constant (circular constellation). If we

    relax this constraint, we get M-ary QAM.

    Signal set:

    E0 is the energy of the signal with the lowest amplitude

    ai, bi are a pair of independent integers

    54

  • 8/12/2019 Comm Ch08 Digmod En

    55/80

    2013/2014 Meixia Tao @ SJTU

    MQAM (contd)

    Basis functions:

    Signal space representation

    55

  • 8/12/2019 Comm Ch08 Digmod En

    56/80

    2013/2014 Meixia Tao @ SJTU

    MQAM Signal Constellation

    Square lattice

    Can be related with two L-ary ASK in in-phase and

    quadrature components, respectively, where M = L2

    1 3 5 7

    56

  • 8/12/2019 Comm Ch08 Digmod En

    57/80

    2013/2014 Meixia Tao @ SJTU

    Error Performance of MQAM

    It can be shown that the symbol error probability ofMQAM is tightly upper bounded as

    Exercise: From the above expression, determine the increasein the average energy per bit Eb required to maintain the same

    error performance if the number of bits per symbol is increased

    from k to k+1, where k is large.

    0

    34

    ( 1)

    b

    e

    kEP Q

    M N

    (for )2kM=

    57

    M ary Frequency Shift Keying (MFSK) or

  • 8/12/2019 Comm Ch08 Digmod En

    58/80

    2013/2014 Meixia Tao @ SJTU

    M-ary Frequency-Shift Keying (MFSK) or

    Multitone Signaling

    Signal set:

    where

    As a measure of similarity between a pair of signal

    waveforms, we define the correlation coefficients

    58

  • 8/12/2019 Comm Ch08 Digmod En

    59/80

    2013/2014 Meixia Tao @ SJTU

    MFSK (contd)

    For orthogonality, minimum frequency separationbetween successive frequencies is 1/(2T)

    The minimum correlation is at

    -0.217

    59

  • 8/12/2019 Comm Ch08 Digmod En

    60/80

    2013/2014 Meixia Tao @ SJTU

    M-ary orthogonal FSK has a geometric presenation as MM-dim orthogonal vectors, given as

    The basis functions are

    ( )0 , 0, 0, , 0sE=s

    ( )1 0, , 0, , 0sE=s

    ( )1 0, 0, , 0,M sE =s

    ( )2

    cos2m c

    f m f tT

    = +

    60

  • 8/12/2019 Comm Ch08 Digmod En

    61/80

  • 8/12/2019 Comm Ch08 Digmod En

    62/80

    2013/2014 Meixia Tao @ SJTU

    Notes on Error Probabil ity Calculations

    Pe is found by integrating conditional probability oferror over the decision region

    Difficult for multi-dimensions

    Can be simplified using union bound (see ch07)

    Pe depends only on the distance profile of signal

    constellation

    62

  • 8/12/2019 Comm Ch08 Digmod En

    63/80

    2013/2014 Meixia Tao @ SJTU

    Example #2

    The 16-QAM signal constellation shown below is aninternational standard for telephone-line modems (called

    V.29).

    a) Determine the optimum decision

    boundaries for the detectorb) Derive the union bound of the

    probability of symbol error

    assuming that the SNR is

    sufficiently high so that errors

    only occur between adjacentpoints

    c) Specify a Gray code for this 16-

    QAM V.29 signal constellation

    63

  • 8/12/2019 Comm Ch08 Digmod En

    64/80

    2013/2014 Meixia Tao @ SJTU

    Symbol Error versus Bit Error

    Symbol errors are different from bit errors When a symbol error occurs, all bits could

    be in error

    In general, we can find BER using

    is the number bits which differ between and

    64

  • 8/12/2019 Comm Ch08 Digmod En

    65/80

  • 8/12/2019 Comm Ch08 Digmod En

    66/80

    2013/2014 Meixia Tao @ SJTU

    Example: Gray Code for QPSK

    0001

    11 10

    66

  • 8/12/2019 Comm Ch08 Digmod En

    67/80

    2013/2014 Meixia Tao @ SJTU

    Bit Error Rate for MPSK and MFSK

    For MPSK with gray coding An error between adjacent symbol will most likely occur

    Thus, bit error probability can be approximated by

    For MFSK When an error occurs anyone of the other symbols may result

    equally likely.

    On average, therefore, half of the bits will be incorrect. That is k/2bits every k bits will on average be in error when there is a symbol

    error Thus, the probability of bit error is approximately half the symbol

    error

    eb PP2

    1

    67

    8 4 Comparison of M-ary Modulation

  • 8/12/2019 Comm Ch08 Digmod En

    68/80

    2013/2014 Meixia Tao @ SJTU

    8.4 Comparison of M ary Modulation

    Techniques

    Channel bandwidth and transmit powerare twoprimary communication resources and have to beused as efficient as possible

    Power utilization efficiency (energy efficiency):

    measured by the required Eb/No to achieve acertain bit error probability

    Spectrum utilization efficiency (bandwidthefficiency): measured by the achievable data rate

    per unit bandwidth Rb/B It is always desired to maximize bandwidth

    efficiency at a minimal required Eb/No

    68

    Example # 3

  • 8/12/2019 Comm Ch08 Digmod En

    69/80

    2013/2014 Meixia Tao @ SJTU

    Example # 3

    Suppose you are a system engineerin Huawei, designing a part of thecommunication systems. You are required to design three systems as follow:

    I. An ultra-wideband system. This system can use a large of amount ofbandwidth to communicate. But the band it uses is overlaying with the othercommunication system. The main purpose of deploying this system is toprovide high data rates.

    II. A wireless remote control system designated for controlling devicesremotely under unlicensed band.

    III. A fixed wireless system. The transmitters and receivers are mounted in afixed position with power supply. This system is to support voice and dataconnections in the rural areas. This system works under licensed band.

    You are only required to design a modulation scheme for each of the abovesystems. You are allowed to use MFSK, MPSK and MQAM only. You alsoneed to state the modulation level. For simplicity, the modulation level shouldbe chosen from M=[Low, Medium, High]. Justify your answers.

    (Hints: Federal Communications Commission (FCC) has a power spectraldensity limit in unlicensed band. It is meant that if your system works underunlicensed band, the power cannot be larger than a limit.)

    69

    Energy Efficiency Comparison

  • 8/12/2019 Comm Ch08 Digmod En

    70/80

    2013/2014 Meixia Tao @ SJTU

    e gy c e cy Co pa so

    MFSK MPSK

    70

  • 8/12/2019 Comm Ch08 Digmod En

    71/80

    2013/2014 Meixia Tao @ SJTU

    Energy Efficiency Comparison (contd)

    MFSK: At fixed Eb/No, increase M can provide an improvement

    on Pb

    At fixed Pb increase M can provide a reduction in theE

    b/N

    orequirement

    MPSK

    BPSK and QPSK have the same energy efficiency

    At fixed Eb/No, increase M degrades Pb

    At fixed Pb, increase M increases the Eb/Norequirement

    MFSK is more energy efficient than MPSK

    71

  • 8/12/2019 Comm Ch08 Digmod En

    72/80

    B d idth Effi i C i ( td)

  • 8/12/2019 Comm Ch08 Digmod En

    73/80

    2013/2014 Meixia Tao @ SJTU

    Bandwidth Efficiency Comparison (contd)

    In general, bandwidth required to pass MPSK/MQAM signalis approximately given by

    But

    Then bandwidth efficiency may be expressed as

    = bit rate

    (bits/sec/Hz)

    73

    B d idth Effi i C i ( t d)

  • 8/12/2019 Comm Ch08 Digmod En

    74/80

    2013/2014 Meixia Tao @ SJTU

    MFSK:

    Bandwidth required to transmit MFSK signal is

    Bandwidth efficiency of MFSK signal

    Bandwidth Efficiency Comparison (contd)

    (Adjacent frequencies need to be separated

    by 1/2T to maintain orthogonality)

    (bits/s/Hz)

    M 2 4 8 16 32 64

    1 1 0.75 0.5 0.3125 0.1875(bits/s/Hz)

    As M increases, bandwidth efficiency of MPSK/MQAM increases, but

    bandwidth efficiency of MFSK decreases.

    74

    Fundamental Tradeoff :

  • 8/12/2019 Comm Ch08 Digmod En

    75/80

    2013/2014 Meixia Tao @ SJTU

    Fundamental Tradeoff :Bandwidth Efficiency and Energy Efficiency

    To see the ultimate power-bandwidth tradeoff, we need touse Shannons channel capacity theorem:

    Channel Capacity is the theoretical upper bound for the maximum

    rate at which information could be transmitted without error

    (Shannon 1948)

    For a bandlimited channel corrupted by AWGN, the maximum rateachievable is given by

    Note that

    Thus

    )1(log)1(log0

    22BN

    PBSNRBCR s+=+=

    R

    BSNR

    BRN

    BP

    RN

    P

    N

    TP

    N

    Esssb

    ====0000

    )12( /

    0

    = BRbR

    B

    N

    E

    75

  • 8/12/2019 Comm Ch08 Digmod En

    76/80

  • 8/12/2019 Comm Ch08 Digmod En

    77/80

    S t D i T d ff

  • 8/12/2019 Comm Ch08 Digmod En

    78/80

    2013/2014 Meixia Tao @ SJTU

    System Design Tradeoff

    Power Limited Systems:Power scarce

    but bandwidth available

    Bandwidth Limited Systems:

    Bandwidth scarce

    Power available

    Which

    Modulation

    to Use?

    78

    Example # 3

  • 8/12/2019 Comm Ch08 Digmod En

    79/80

    2013/2014 Meixia Tao @ SJTU

    p

    Suppose you are a system engineerin Huawei, designing a part of thecommunication systems. You are required to design three systems as follow:

    I. An ultra-wideband system. This system can use a large of amount ofbandwidth to communicate. But the band it uses is overlaying with the othercommunication system. The main purpose of deploying this system is toprovide high data rates.

    II. A wireless remote control system designated for controlling devicesremotely under unlicensed band.

    III. A fixed wireless system. The transmitters and receivers are mounted in a

    fixed position with power supply. This system is to support voice and dataconnections in the rural areas. This system works under licensed band.

    You are only required to design a modulation scheme for each of the abovesystems. You are allowed to use MFSK, MPSK and MQAM only. You alsoneed to state the modulation level. For simplicity, the modulation level shouldbe chosen from M=[Low, Medium, High]. Justify your answers.

    (Hints: Federal Communications Commission (FCC) has a power spectraldensity limit in unlicensed band. It is meant that if your system works underunlicensed band, the power cannot be larger than a limit.)

    79

    Practical Applications

  • 8/12/2019 Comm Ch08 Digmod En

    80/80

    Practical Applications

    BPSK:

    WLAN IEEE802.11b (1 Mbps)

    QPSK:

    WLAN IEEE802.11b (2 Mbps, 5.5 Mbps, 11 Mbps)

    3G WDMA

    DVB-T (with OFDM)

    QAM

    Telephone modem (16QAM)

    Downstream of Cable modem (64QAM, 256QAM)

    WLAN IEEE802.11a/g (16QAM for 24Mbps, 36Mbps; 64QAM for 38Mbps

    and 54 Mbps)

    LTE Cellular Systems

    FSK:

    Cordless telephone

    Paging system