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Transcript of 1 Data and Computer Communications Lecture 3 Data Transmission yDecibels yDigital Data yAnaologue...
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Data and Computer Communications
Lecture 3Data Transmission
DecibelsDigital DataAnaologue DataTransmission Losses
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Decibels & Signal Strength As a signal propagates along a transmission media,
there will be loss or attenuation of signal strength.
Alexander Graham Bell discovered that the human ear responded logarithmically to power difference and invented a unit called the Bel. The most common form is the decibel which is 1/10 of a Bel.
The decibel is a measure of the ratio between the power of two signal levels.
Ndb=10 log10 P2/P1
Ndb = Number of decibels P1 = Input power P2 = Output power level
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dB’sDecibel values refer to relative
magnitudes or changes in relative magnitude, not to an absolute level.
A loss from 1000mW to 500mW is a loss of 3dB. A loss of 3 dB halves the power level A gain of 3 dB doubles the power
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Data Rate and Bandwidth The greater the bandwidth, the higher the information-
carrying capacity Any transmission system has a limited band of
frequencies This limits the data rate that can be carried 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 HOWEVER, limiting the bandwidth creates distortions
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Finding the BandwidthA square wave represents a a binary
stream 1010101The duration of each pulse is 1/fDate rate is 2f bits per second (bps)Bandwidth of signal:
Upper freq – fundamental frequency
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Analog and Digital Data TransmissionData
Entities that convey meaning
Signals Electric or electromagnetic representations of
data
Transmission Communication of data by propagation and
processing of signals
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DataAnalog
Continuous values within some interval e.g. sound, video
Digital Discrete values e.g. text, integers
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Acoustic Spectrum (Analog)
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SignalsMeans by which data are propagatedAnalog
Continuously variable Various media
wire, fiber optic, space
Speech bandwidth 100Hz to 7kHz Telephone bandwidth 300Hz to 3400Hz Video bandwidth 4MHz
Digital Use two DC components
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Data and SignalsUsually use digital signals for digital data
and analog signals for analog dataCan use analog signal to carry digital data
Modem
Can use digital signal to carry analog data Compact Disc audio
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Analog Signals Carrying Analog and Digital Data
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Digital Signals Carrying Analog and Digital Data
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Analog TransmissionAnalog signal transmitted without regard
to contentMay be analog or digital dataAttenuated over distance Use amplifiers to boost signalAmplifiers also amplifies noise (SNR)
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Digital TransmissionConcerned with contentIntegrity endangered by noise,
attenuation etc.Repeaters used
Repeater receives signal Extracts bit pattern Retransmits
Attenuation is overcomeNoise is not amplified
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Advantages of Digital Transmission Digital technology
Low cost LSI/VLSI technology Data integrity
Longer distances over lower quality lines Uses repeaters as opposed to amplifiers
Capacity utilization High bandwidth links now economical High degree of multiplexing easier with digital techniques
Security & Privacy Encryption can be readily applied
Integration By digitising analog data, analog and digital data can be
treated similarly
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Transmission ImpairmentsSignal received may differ from signal
transmitted. Why?Analog - degradation of signal qualityDigital - bit errorsCaused by
Attenuation and attenuation distortion Delay distortion Noise
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Attenuation Signal strength falls off with distance Reduction tends to be logarithmic and is
expressed in dB’s per unit distance Depends on medium Received signal strength:
1. must be strong enough to be detected2. must be sufficiently higher than noise to be
received without error3. Attenuation is an increasing function of
frequency
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Attenuation SolutionsProblems 1 & 2 can be solved by ensuring
the signal strength is maintained using amplifiers.
Problem 3 requires one of two solutions Equalization of attenuation across a band of
frequencies ( Coils used in telephone circuits) Variation in amplification of signal at different
frequencies
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Delay DistortionOnly in guided mediaPropagation velocity varies with frequencyLight passing through a prism caused the
separation of white lightVelocity will tend to be faster at center of
bandwidthIntersymbol interference is where
component frequencies of one bit position overlap with the next bit position
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NoiseAdditional signals inserted between
transmitter and receiverMay be divided into four categories
Thermal Intermodulation Crosstalk Impulse noise
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Thermal Noise Due to thermal agitation of electronsUniformly distributedWhite noiseNo = kT (W/Hz)
No Noise power density per 1 Hz K Boltzmann’s constant 1.3803 x 10-23J/oK T Temperature in degrees Kelvin
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Intermodulation NoiseWhen signals of different frequecies share
the same medium, intermodulation noise may occur
Intermodulation noise are signals that are the sum and difference of original frequencies sharing the medium
Intermodulation occurs when there is some form of nonlinearality occurs in the transmitter, medium or receiver.
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Crosstalk Crosstalk
A signal from one line is picked up by another Electrical coupling from adjacent twisted pair Same order of magnitude as thermal noise
All noise so far is reasonabley predictable and of a constant amplitude. This allows for some form of compensation circuit / layout
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Impulse NoiseNoncontinuos noise consisting of irregular
pulses or spikese.g. External electromagnetic interference
Short durationHigh amplitudeThere are a variety of causes
Electrical switchgear Lightning Circuit faults
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Channel CapacityChannel capacity is the maximum rate at which
data can be transmitted over a certain communication path.
Data rate In bits per second (bps) Rate at which data can be communicated
Bandwidth In cycles per second of Hertz As constrained by transmitter and medium
Noise Average level of noise over the communications path
Error rate Rate at which errors occur
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Nyquist Bandwidth
For binary signals (two voltage levels) C = 2B
C = capacityB = Bandwidth
A bandwidth of 3100hz gives a capacity of 6200 bps
We would like to make the most efficient use of available bandwidth.
For digital data we would like the highest data rate possible at a particular error rate for a given bandwidth.
Nyquist formulated this limation as follows:
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Multilevel SignallingWith multilevel signaling, each level representing
more than one bitNyquists formula becomes
C = 2B log2 MM = number of discrete signal or voltage levelsC = Capacity
Assuming M = 8, this gives a capacity of 18600 bps for the previous example.
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Signal-to-Noise Ratio Ratio of the power in a signal to the power contained in the
noise that’s 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, low number of required intermediate repeaters
SNR sets upper bound on achievable data rate
power noise
power signallog10)( 10dB SNR
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Shannon Capacity FormulaEquation:
Represents theoretical maximum that can be achieved In practice, only much lower rates achieved
Formula assumes white noise (thermal noise) Impulse noise is not accounted for Attenuation distortion or delay distortion not accounted for
SNR1log2 BC
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Example of Nyquist and Shannon FormulationsSpectrum of a channel between 3 MHz and 4 MHz ;
SNRdB = 24 dB
Using Shannon’s formula
251SNR
SNRlog10dB 24SNR
MHz 1MHz 3MHz 4
10dB
B
Mbps88102511log10 62
6 C
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Example of Nyquist and Shannon FormulationsHow many signaling levels are required?
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log4
log102108
log2
2
266
2
M
M
M
MBC
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Required ReadingStallings chapter 3