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ITC242 – Introduction to Data Communications Week 9 Topic 14 Data Transmission Topic 15 Data Communication Fundamentals Reading 3.

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Presentation on theme: "ITC242 – Introduction to Data Communications Week 9 Topic 14 Data Transmission Topic 15 Data Communication Fundamentals Reading 3."— Presentation transcript:

1 ITC242 – Introduction to Data Communications Week 9 Topic 14 Data Transmission Topic 15 Data Communication Fundamentals Reading 3

2 Last Week Reading 2 – Wide Area and Large-Scale Networks
Describe the basic concepts associated with wide area networks Identify the uses, benefits, and drawbacks of WAN technologies such as ATM, FDDI, SONET, SMDS

3 Topic 14 – Data Transmission
Learning Objectives Describe the difference between analogue and digital signals Discuss the various transmission impairments that affect signal quality and transfer rate Use Shannon’s formula to calculate the capacity of a channel

4 Electromagnetic Signals
Analog Signal signal intensity varies in a smooth fashion over time. In other words, there are 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

5 Analog Sine Wave

6 Digital Square Wave

7 Signal Characteristics
Peak Amplitude (A) Maximum signal value, measured in volts Frequency (f) Repetition rate Measured in cycles per second or Hertz (Hz) Period (T) Amount of time it takes for one repetition, T=1/f Phase () Relative position in time, measured in degrees

8 Frequency Domain Concepts
Spectrum of a signal is the range of frequencies that it contains Absolute bandwidth of a signal is the width of the spectrum Effective bandwidth contained in a relatively narrow band of frequencies, where most of signal’s energy is found The greater the bandwidth, the higher the information-carrying capacity of the signal

9 Bandwidth Width of the spectrum of frequencies that can be transmitted
if spectrum=300 to 3400Hz, bandwidth=3100Hz Greater bandwidth leads to greater costs Limited bandwidth leads to distortion

10 Voice/Audio Analog Signals
Easily converted from sound frequencies (measured in loudness/db) to electromagnetic frequencies, measured in voltage Human voice has frequency components ranging from 20Hz to 20kHz For practical purposes, the telephone system has a narrower bandwidth than human voice, from 300 to 3400Hz Actual bandwidth used is 4kHz to isolate audio signal from adjacent bandwidths.

11 Voice Bandwidth

12 Digital Text Signals Transmission of electronic pulses representing the binary digits 1 and 0 How do we represent letters, numbers, characters in binary form? Earliest example: Morse code (dots and dashes) Most common current forms: ASCII, UTF

13 e.g. ASCII Character Set Control Characters
Binary Oct Dec Hex Abbr PR[1] CS[2] CEC[3] Description 000 00 NUL Null character 001 1 01 SOH ^A Start of Header 002 2 02 STX ^B Start of Text 003 3 03 ETX ^C End of Text 004 4 04 EOT ^D End of Transmission 005 5 05 ENQ ^E Enquiry 006 6 06 ACK ^F Acknowledgment 007 7 07 BEL ^G \a Bell 010 8 08 BS ^H \b Backspace[4][8] 011 9 09 HT ^I \t Horizontal Tab 012 10 0A LF ^J \n Line feed 013 11 0B VT ^K Vertical Tab 014 12 0C FF ^L \f Form feed 015 13 0D CR ^M \r Carriage return[7]

14 e.g. ASCII Character Set Printable Characters
Binary Dec Hex Glyph 96 60 ` 97 61 a 98 62 b 99 63 c 100 64 d 101 65 e 102 66 f Binary Dec Hex Glyph 64 40 @ 65 41 A 66 42 B 67 43 C 68 44 D 69 45 E 70 46 F

15 Transmission Media Physical path between transmitter and receiver (“channel”) Design factors affecting data rate bandwidth physical environment number of receivers impairments

16 Impairments and Capacity
Impairments exist in all forms of data transmission Analog signal impairments result in random modifications that impair signal quality Digital signal impairments result in bit errors (1s and 0s transposed)

17 Transmission Impairments: Guided Media
Attenuation loss of signal strength over distance Attenuation Distortion different losses at different frequencies Delay Distortion different speeds for different frequencies Noise distortions of signal caused by interference 6

18 Transmission Impairments: Unguided (Wireless) Media
Free-Space Loss Signals disperse with distance Atmospheric Absorption Water vapor and oxygen contribute to signal loss Multipath Obstacles reflect signal creating multiple copies Refraction Thermal Noise

19 Types of Noise Thermal (aka “white noise”) Intermodulation Crosstalk
Uniformly distributed, cannot be eliminated Intermodulation When different frequencies collide (creating “harmonics”) Crosstalk Overlap of signals Impulse noise Irregular spikes, less predictable

20 Channel Capacity The rate at which data can be transmitted over a given path, under given conditions Four concepts Data rate Bandwidth Noise Error rate

21 Shannon’s Equation The signal to noise ratio (SNR) sets the upper bound on the achievable data rate. Shannon’s equation provides a theoretical maximum channel capacity given SNR. C = B log2 (1 + SNR) B = Bandwidth of channel in Hertz C= Channel capacity in bps SNR = Signal-to-noise ratio

22 Shannon’s Equation What is the capacity of a signal operating at 5kHz with a SNR of 3? C = B log2 (1 + SNR) C = 5000 Hz x log2(1+3) C = 5000 Hz x log24 C = 5000 Hz x 2 C = bps

23 Review Describe the difference between analogue and digital signals
Transmission impairments – attenuation and noise affect signal quality Shannon’s formula provides a theoretical estimate of maximum channel capacity

24 Topic 15 – Data Communication Fundamentals
Learning Objectives Explain the difference between analogue and digital transmission Describe digital and analogue encoding techniques for the transmission of data Explain the difference between asynchronous and synchronous transmission and when each technique is used Describe the process of error detection

25 Data Communication Components
Analog: Continuous value data (sound, light, temperature) Digital: Discrete value (text, integers, symbols) Signal Analog: Continuously varying electromagnetic wave Digital: Series of voltage pulses (square wave) Transmission Analog: Works the same for analog or digital signals Digital: Used only with digital signals

26 Analog DataSignal Options
Analog data to analog signal Inexpensive, easy conversion (eg telephone) Data may be shifted to a different part of the available spectrum (multiplexing) Used in traditional analog telephony Analog data to digital signal Requires a codec (encoder/decoder) Provides benefits of digital transmission (e.g Audio CD)

27 Digital DataSignal Options
Digital data to analog signal Requires modem (modulator/demodulator) Allows use of PSTN to send data Necessary when analog transmission is used Digital data to digital signal Requires CSU/DSU (channel service unit/data service unit) Less expensive when large amounts of data are involved More reliable because no conversion is involved

28 Transmission Choices Analog transmission Digital transmission
only transmits analog signals, without regard to data content attenuation overcome with amplifiers signal is not evaluated or regenerated Digital transmission transmits analog or digital signals uses repeaters rather than amplifiers switching equipment evaluates and regenerates signal

29 Advantages of Digital Transmission
The signal is exact Signals can be checked for errors Noise/interference are easily filtered out A variety of services can be offered over one line Higher bandwidth is possible with data compression

30 Why Use Analog Transmission?
Already in place Significantly less expensive Lower attenuation rates Sufficient for transmission of voice signals

31 Analog Encoding of Digital Data
Data encoding and decoding technique to represent data using the properties of analog waves Modulation: the conversion of digital signals to analog form Demodulation: the conversion of analog data signals back to digital form

32 Methods of Modulation Amplitude modulation (AM) or amplitude shift keying (ASK) Frequency modulation (FM) or frequency shift keying (FSK) Phase modulation or phase shift keying (PSK)

33 Amplitude Shift Keying (ASK)
In radio transmission, known as amplitude modulation (AM) The amplitude (or height) of the sine wave varies to transmit the ones and zeros Major disadvantage is that telephone lines are very susceptible to variations in transmission quality that can affect amplitude

34 ASK Illustration 1 1

35 Frequency Shift Keying (FSK)
In radio transmission, known as frequency modulation (FM) Frequency of the carrier wave varies in accordance with the signal to be sent Signal transmitted at constant amplitude More resistant to noise than ASK Less attractive because it requires more analog bandwidth than ASK

36 FSK Illustration 1 1 1

37

38 Phase Shift Keying (PSK)
Also known as phase modulation (PM) Frequency and amplitude of the carrier signal are kept constant The carrier signal is shifted in phase according to the input data stream Each phase can have a constant value, or value can be based on whether or not phase changes (differential keying)

39 PSK Illustration 1 1

40

41 Modulation Example Asymmetric Digital Subscriber Line (ADSL)
Telephone exchange can provide support for a number of ISPs, At the exchange a combined data/voice signal is transmitted over a subscriber line At subscriber’s site, twisted pair is split and routed to both a PC and a telephone At the PC, an ADSL modem demodulates the data signal for the PC. At the telephone, a microfilter passes the 4-kHz voice signal. The data and voice signals are combined on the twisted pair line using frequency-division-multiplexing techniques

42 DSL Modem Layout

43 Digital Encoding of Analog Data
Evolution of telecommunications networks to digital transmission and switching requires voice data in digital form Best-known technique for voice digitization is pulse-code modulation (PCM) The 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 Good-quality voice transmission can be achieved with a data rate of 8 kbps Some videoconference products support data rates as low as 64 kbps

44 Converting Samples to Bits
Quantizing Similar concept to pixelization Breaks wave into pieces, assigns a value in a particular range 8-bit range allows for 256 possible sample levels More bits means greater detail, fewer bits means less detail

45 Converting Samples to Bits

46 Codec Coder/Decoder Converts analog signals into a digital form and converts it back to analog signals Where do we find codecs? Sound cards Scanners Voice mail Video capture/conferencing

47 Digital Encoding of Digital Data
Most common, easiest method is different voltage levels for the two binary digits Typically, negative=1 and positive=0 Known as NRZ-L, or nonreturn-to-zero level, because signal never returns to zero, and the value during a bit time is a level voltage

48 Differential NRZ Differential version is NRZI (NRZ, invert on ones)
A bit time: a constant-voltage pulse A signal transition at the beginning of the bit time: Change=1, no change=0 Advantage of differential encoding is that it is more reliable to detect a change in polarity than it is to accurately detect a specific level

49 Problems With NRZ Difficult to determine where one bit ends and the next begins In NRZ-L, long strings of ones and zeroes would appear as constant voltage pulses Timing is critical, because any drift results in lack of synchronization and incorrect bit values being transmitted

50 Biphase Alternatives to NRZ
Require at least one transition per bit time, and may even have two Modulation rate is greater, so bandwidth requirements are higher Advantages Synchronization due to predictable transitions Error detection based on absence of a transition

51 Manchester Code Transition in the middle of each bit period
Transition provides clocking and data Low-to-high=1 , high-to-low=0 Used in Ethernet

52 Differential Manchester
Midbit transition is only for clocking Transition at beginning of bit period=0 Transition absent at beginning=1 Has added advantage of differential encoding Used in token-ring LANs

53 Digital Encoding Illustration

54 Analog Encoding of Analog Information
Voice-generated sound wave can be represented by an electromagnetic signal with the same frequency components, and transmitted on a voice-grade telephone line. Modulation can produce a new analog signal that conveys the same information but occupies a different frequency band A higher frequency may be needed for effective transmission Analog-to-analog modulation permits frequency-division multiplexing (Chapter 17)

55 Asynchronous and Synchronous Transmission
For receiver to sample incoming bits properly, it must know arrival time and duration of each bit that it receives

56 Asynchronous Transmission
uses start and stop bits to signify the beginning ait ASCII character Data transmitted one character at a time, where each character is 5 to 8 bits in length. Timing or synchronization must only be maintained within each character; the receiver has the opportunity to resynchronize at the beginning of each new character. Simple and cheap but requires an overhead of 2 to 3 bits per character

57 Synchronous Transmission
Block of bits transmitted in a steady stream without start and stop codes. Clocks of transmitter and receiver must somehow be synchronized Provide a separate clock line between transmitter and receiver; works well over short distances, Embed the clocking information in the data signal. Each block begins with a preamble bit pattern and generally ends with a postamble bit pattern The data plus preamble, postamble, and control information are called a frame

58 Review The difference between analogue and digital transmission
Digital and analogue encoding techniques: ASK, FSK, PSK NRZ-L, NRZI, Manchester, Differential Manchester Asynchronous transmission Synchronous transmission


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