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Transmission Fundamentals

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Title: Transmission Fundamentals


1
Transmission Fundamentals
  • Chapter 2

2
Electromagnetic Signals
  • Function of time t
  • Can also be expressed as a function of frequency
    2?ft
  • All useful signals consist of components of
    different frequencies

3
Time-Domain Concepts
  • Analog signal - signal intensity varies in a
    smooth fashion over time
  • No breaks or discontinuities in the signal
  • Digital signal - signal intensity maintains a
    constant level for some period of time and then
    changes to another constant level
  • Periodic signal - analog or digital signal
    pattern that repeats over time
  • s(t T ) s(t ) - lt t lt
  • where T is the period of the signal

4
Time-Domain Concepts
  • Aperiodic signal - analog or digital signal
    pattern that doesn't repeat over time
  • Peak amplitude (A) - maximum value or strength of
    the signal over time typically measured in volts
  • Frequency (f )
  • Rate, in cycles per second (cps) or Hertz (Hz) at
    which the signal repeats. cps no longer used.
  • Most units today are proper nouns (capitalized)
    named after pioneers in the field Ohm, Farad,
    Henry, Tesla, Gauss, etc.

5
Time-Domain Concepts
  • Period (T ) - amount of time it takes for one
    repetition of the signal
  • T 1/f
  • Phase (?) - measure of the relative position in
    time within a single period of a signal
  • Wavelength (?) - distance occupied by a single
    cycle of the signal
  • Or, the distance between two points of
    corresponding phase of two consecutive cycles
  • c ? f where f is in MHz, ? is in meters and
    c is the speed of light in a vacuum.

6
Sine Wave Parameters
  • General sine wave
  • s(t ) A sin(2?ft ?)
  • Figure 2.3 shows the effect of varying each of
    the three parameters
  • (a) A 1, f 1 Hz, ? 0 thus T 1s
  • (b) Reduced peak amplitude A0.5
  • (c) Increased frequency f 2, thus T ½
  • (d) Phase shift ? ?/4 radians (45 degrees)
  • note 2? radians 360 1 period

7
Sine Wave Parameters
8
Time vs. Distance
  • When the horizontal axis is time, as in Figure
    2.3, graphs display the value of a signal at a
    given point in space as a function of time
  • The same graphs can apply with the horizontal
    axis in space (change in scale), then the graphs
    display the value of a signal at a given point in
    time as a function of distance
  • At a particular instant of time, the intensity of
    the signal varies as a function of distance from
    the source

9
Frequency-Domain Concepts
  • Fundamental frequency - when all frequency
    components of a signal are integer multiples of
    one frequency, its referred to as the
    fundamental frequency
  • Spectrum - range of frequencies that makeup a
    signal, e.g., the frequency content of the signal
  • Absolute bandwidth - width of the spectrum of a
    signal (good examples Figure 2.4c)
  • Effective bandwidth (or just bandwidth) - narrow
    band of frequencies that most of the signals
    energy is contained within (3 dB down points)

10
Frequency-Domain Concepts
  • Any electromagnetic signal can be shown to
    consist of a collection of periodic analog
    signals (sine waves) at different amplitudes,
    frequencies and phases. See Appendix B on
    Fourier Analysis
  • The period of the total signal is equal to the
    period of the fundamental frequency (the lowest
    frequency).

11
Relationship between Data Rate and Bandwidth
  • The greater the bandwidth, the higher the
    information-carrying capacity (page 20 for
    examples on bandwidth vs signal frequency vs data
    rate)
  • Conclusions
  • Any digital waveform will have infinite bandwidth
  • BUT the transmission system will limit the
    bandwidth that can be transmitted
  • AND, for any given medium, the greater the
    bandwidth transmitted, the greater the cost (use
    of xmit resources)
  • HOWEVER, limiting the bandwidth creates
    distortions and makes detection more difficult
    (ability to distinguish between 0s and 1s)

12
Examples (pages 20 22)
Gibbs Phenomenon bumps in approximated square
wave, see http// www.sosmath.com/fourier/fourier3
/gibbs.html
fundamental
For a waveform based on 3 sinusoidal components
(2?ft, 2?3ft, 2?5ft) f 1 Mhz, Bandwidth
4 MHz (5f 1f ), Data Rate 2 Mbps (bit every
0.5 µS) T 1 µS f 2 Mhz, Bandwidth 8
MHz, Data Rate 4 Mbps (bit every 0.25 µS) T
0.5 µS For a waveform that uses just 2 sinusoidal
components (2?ft, 2?3ft), this results in less
of a square wave (distorted, see Fig 2.4)
than the one above with the higher
frequency component of 2?5ft (10 MHz) vs 2?3ft (6
MHz) when f 2 Mhz f 2 Mhz, Bandwidth 4
MHz, Data Rate 4 Mbps (bit every 0.25 µS) T
0.5 µS However the job of discriminating between
0s and1s is more difficult for the receiver
and there obviously exists a greater potential
for error (BER).
13
Data Communication Terms
  • Data - entities that convey meaning, or
    information
  • Signals - electric or electromagnetic
    representations of data
  • Transmission - communication of data by the
    propagation and processing of signals

14
Examples of Analog and Digital Data
  • Analog (continuous)
  • Video
  • Audio (acoustic based information)
  • Digital (discrete)
  • Text
  • Integers

15
Analog Signals
  • A continuously varying electromagnetic wave that
    may be propagated over a variety of media,
    depending on frequency
  • Examples of media
  • Copper wire media (twisted pair and coaxial
    cable)
  • Fiber optic cable (light)
  • Atmosphere or space propagation (wireless)
  • Analog signals can propagate analog and digital
    data (e.g. via a modem)

16
Audio Spectrum
Peak power
Noise floor
17
Digital Signals
  • A sequence of voltage pulses that may be
    transmitted over a copper wire medium
  • Generally cheaper than analog signaling
  • Less susceptible to noise interference
  • Suffers more from attenuation (higher frequency
    content)
  • Digital signals can propagate analog (by
    digitizing data) and digital data

18
Analog Signaling
19
Digital Signaling
Example - PCM
(Coder-Decoder)
20
Reasons for Choosing Data and Signal Combinations
  • Digital data, digital signal
  • Equipment for encoding is less expensive than
    digital-to-analog equipment
  • Analog data, digital signal
  • Conversion permits use of modern digital
    transmission, computational resources and
    switching equipment
  • Digital data, analog signal
  • Transmission media will only propagate analog
    signals
  • Examples include optical fiber and POTS (3 kHz
    bandwidth limited)
  • Analog data, analog signal
  • Analog data easily converted to an analog signal
    via some form of modulation (AM, FM, etc.)

21
Analog Transmission
  • Transmit analog signals without regard to content
    (dont care if signal is used to represent analog
    data or digital data)
  • Attenuation limits length of transmission link
  • Cascaded amplifiers boost signals energyfor
    longer distances but cause distortion (cumulative
    in an analog path)
  • Analog data can tolerate distortion (less
    fidelity)
  • However distortion introduces errors if analog
    signal is being used to convey digital data

22
Digital Transmission
  • Concerned with the content of the signal
  • Attenuation endangers integrity of data
  • Digital Signal
  • Repeaters used to achieve greater distance
  • Repeaters recover the signal and retransmit.
    Simple decision process, its either a 0 or a 1.
    (Non-cumulative errors)
  • Computers work in the digital domain
  • Analog signal carrying digital data
  • Retransmission device recovers (demodulates) the
    digital data from analog signal
  • Generates new, clean analog signal

23
Channel Capacity
  • Impairments, such as noise, limit the data rate
    that can be achieved
  • For digital data, to what extent do these
    impairments limit the data rate?
  • Channel Capacity the maximum rate at which data
    can be transmitted over a given communication
    path (channel), under given conditions

24
Concepts Related to Channel Capacity
  • Data rate - rate at which data can be
    communicated (bps)
  • Bandwidth (B) - the bandwidth of the transmitted
    signal as constrained by the transmitter and the
    nature of the transmission medium (Hertz)
  • Noise - average level of noise over the
    communications path (non-correlated energy)
  • Error rate - rate at which errors occur
  • Error transmit 1 and receive 0 transmit 0 and
    receive 1

25
Nyquist Bandwidth
  • For binary signals (two voltage levels
    representing 0 and 1) the channel capacity
  • C 2B (noise free medium)
  • B bandwidth in Hz C Channel Capacity in bps
  • The basis of digital sampling
  • With multilevel signaling
  • C 2B log2 M
  • M number of discrete signal or voltage levels
  • B bandwidth in Hz C Channel Capacity in bps
  • Places additional burden on receiver and is
    limited in practice (ability to distinguish, no
    longer a simple on or off decision process).

26
Signal-to-Noise Ratio (SNR)
  • Ratio of the power in a signal to the power
    contained in the noise thats present at a
    particular point in the transmission
  • Typically measured at a receiver
  • Signal-to-noise ratio (SNR or S/N)
  • A high SNR means a high-quality signal, high
    signal energy and/or low noise SNR can be
    negative
  • SNR sets the upper bound on achievable data rate

27
Shannon Capacity Formula
  • Equation
  • Represents the theoretical maximum that can be
    achieved
  • In practice, only much lower rates achieved
  • Formula assumes white noise (thermal noise) thus
    as B is increased, SNR will decrease
  • Factors not accounted for 1. Impulse noise 2.
    Attenuation distortion or delay distortion
    not constant over frequency range of signal

not in dB, a ratio
28
Nyquist and Shannon Formulations
  • Spectrum of a channel between 3 MHz and 4 MHz
    SNRdB 24 dB
  • Using Shannons formula

29
Nyquist and Shannon Formulations
  • How many signaling levels are required?(assuming
    Shannons theoretical limit can be achieved)
  • Using the Nyquist Criterion

30
Relationship of the Nyquist and Shannon Theorems
  • The sampling theorem was implied by the work of
    Harry Nyquist in 1928 ("Certain topics in
    telegraph transmission theory"), in which he
    showed that up to 2B independent pulse samples
    could be sent through a system of bandwidth BHe
    did not explicitly consider the problem of
    sampling and reconstruction of continuous
    signals.
  • The sampling theorem, essentially a dual of
    Nyquist's result, was proved by Claude E. Shannon
    in 1949 ("Communication in the presence of
    noise").
  • NyquistShannon sampling theorem Exact
    reconstruction of a continuous-time baseband
    signal from its samples is possible if the signal
    is bandlimited and the sampling frequency is
    greater than twice the signal bandwidth.
  • The condition for exact reconstructability from
    samples at a uniform sampling rate (in samples
    per unit time) is fs gt 2B or equivalently B lt
    fs / 2 where 2B is called the Nyquist rate and
    is a property of the bandlimited signal, while fs
    is called the Nyquist frequency and is a property
    of the sampling system.
  • The theorem naming nomenclature (why Nyquist?) is
    a historical oddity.

31
Classifications of Transmission Media
  • Transmission Medium
  • Physical path between transmitter and receiver
  • Guided Media
  • Waves are guided along a solid medium, loss
    varies logarithmically with distance
  • e.g., copper twisted pair, heliax (hardline
    coax), fiber
  • Unguided Media
  • Provides means of transmission but does not guide
    electromagnetic signals, loss varies as the
    square of the distance
  • Usually referred to as wireless transmission
  • e.g., atmosphere, vacuum of outer space

32
Unguided Media
  • Transmission and reception are achieved by means
    of an antenna (rcvr xmtr)
  • Configurations for wireless transmission
  • Directional (infers gain)
  • Omnidirectional
  • Polarization (vertical, horizontal, circular)

33
Electromagnetic Spectrum
34
Characteristics of some Frequencies
  • Microwave frequency range
  • 1 GHz to 40 GHz
  • Directional beams possible (small)
  • Suitable for point-to-point transmission
  • Used for satellite communications
  • VHF/UHF Radio frequency range
  • 30 MHz to 1 GHz (no atmospheric propagation,
    LOS)
  • Suitable for omnidirectional applications
  • Infrared frequency range
  • Roughly 3x1011 to 2x1014 Hz
  • Useful in local point-to-point multipoint
    applications within confined areas

35
Terrestrial Microwave
  • Description of common microwave antenna
  • Parabolic "dish", 3 m in diameter
  • Fixed rigidly which focuses a narrow beam
  • Achieves a line-of-sight (LOS) transmission path
    to the receiving antenna
  • Located at substantial heights above ground level
  • Applications
  • Long haul telecommunications service (many
    repeaters)
  • Short point-to-point links between buildings

36
Satellite Microwave
  • Description of communication satellite
  • Microwave relay station
  • Used to link two or more ground-based microwave
    transmitter/receivers
  • Receives transmissions on one frequency band
    (uplink), amplifies or repeats the signal and
    transmits it on another frequency (downlink)
  • Applications
  • Television distribution (e.g., Direct TV)
  • Long-distance telephone transmission
  • Private business networks

37
Broadcast Radio
  • Description of broadcast radio antennas
  • Omnidirectional (HF-vertical polarization,
    VHF/UHF-horizontal polarization)
  • Antennas not required to be dish-shaped
  • Antennas need not be rigidly mounted to a precise
    alignment
  • Applications
  • Broadcast radio
  • VHF and part of the UHF band 30 MHz to 1GHz
  • Covers FM radio and UHF and VHF television
  • Below 30 MHz transmission (AM radio) is subjected
    to propagation effects so not reliable for
    point-to-point communications (MUF or max usable
    freq)

38
Multiplexing
  • Capacity of transmission medium usually exceeds
    capacity required for transmission of a single
    signal
  • Multiplexing - carrying multiple signals on a
    single medium
  • More efficient use of transmission medium

39
Multiplexing
40
Reasons for Widespread Use of Multiplexing
  • Cost per kbps of transmission facility declines
    with an increase in the data rate (economy of
    scale)
  • Effective cost of transmission and receiving
    equipment declines with increased data rate(cost
    per bit)
  • Most individual data communication devices with
    their associated applications require relatively
    modest data rate support

41
Multiplexing Techniques
  • Frequency-division multiplexing (FDM)
  • Takes advantage of the fact that the useful
    bandwidth of the medium exceeds the required
    bandwidth of a given signal
  • Requires guard bands
  • Time-division multiplexing (TDM)
  • Takes advantage of the fact that the achievable
    bit rate of the medium exceeds the required data
    rate of a digital signal
  • Requires accurate clock

42
Frequency-division Multiplexing
43
Time-division Multiplexing
44
Useful Web Sites from Stallings
  • Chapter 2 - Transmission Fundamentals
  • IT World's Wireless Provides a wide range of
    information on wireless technology, mostly from a
    management perspective.
  • Wireless Developer Network News, tutorials, and
    discussions on wireless topics
  • Office of Spectrum Managment responsible for
    managing the Federal Government's use of the
    radio frequency spectrum." There are many
    informative features on this Web site, including
    documents, links, and a frequency allocation
    chart.

45
Suggested Chapter 2 Problems
  • Review Appendix 2A on dB and signal strength
  • Review Questions (look over all of them)
  • Problems 2.4, 2.9, 2.10, 2.13, 2.14, 2.15, 2.16
    and 2.17
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