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Physical Layer

Physical Layer. Analog vs. Digital. Analog: continuous values over time Digital: discrete values with sharp change over time. Analog vs. Digital. Can be used in three contexts: information, signal, transmission. Digital. Analog. Information. Signal. Transmission.

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Physical Layer

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  1. Physical Layer

  2. Analog vs. Digital • Analog: continuous values over time • Digital: discrete values with sharp change over time

  3. Analog vs. Digital • Can be used in three contexts: information, signal, transmission Digital Analog Information Signal Transmission

  4. All Information Encoded Digital • All information can be encoded in digital data format and become a binary string • Digitizing analog data: sampling and quantization • We are focusing on digital data (binary strings) for the purpose of this class • Benefits of everything going digital • Digital processing, storage, transmission • Zero distortion possible with digital storage & transmission (see later)

  5. Signal Decomposition • All signals can be decomposed into harmonic sine waves = + 1.3 X + 0.56 X + 1.15 X

  6. Analog Signal vs. Digital Signal • Digital signal has a wide frequency spectrum • Subject to strong attenuation and distortion • Not good for long distance transmission • Used for short distance transmission such as Ethernet • Analog signal is used for long distance transmission • Need modulation technique (more later)

  7. Analog vs. Digital Transmission • Transmission: Communication of data by propagation and processing of signals • Issue: signal distorted and attenuated over distance • Analog Transmission • Use amplifiers to boost signal • Amplify both signal and distortion • Digital Transmission • Use repeaters to boost signal • receives signal • extracts bit pattern • Retransmits • Benefits of digital transmission?

  8. Digital Signal

  9. Digital Signal • Digital signal • Discrete voltage levels • Transmission is synchronous, i.e., a clock is used to sample the signal. • In general, the duration of one bit is equal to one or two clock ticks • Receiver’s clock must be synchronized with the sender’s clock • Encoding can be done one bit at a time or in blocks of, e.g., 4 or 8 bits.

  10. Encoding Example 1 : Non-Return to Zero (NRZ) • 1 -> high signal; 0 -> low signal • Long sequences of 1’s or 0’s can cause problems: • Sensitive to clock skew, i.e. hard to recover clock • Difficult to interpret 0’s and 1’s 0 0 0 1 1 0 1 0 1 .85 V 0 -.85

  11. Encoding Example 2:Non-Return to Zero Inverted (NRZI) • 1 -> make transition; 0 -> signal stays the same • Solves the problem for long sequences of 1’s, but not for 0’s. 0 0 0 1 1 0 1 0 1 .85 V 0 -.85

  12. Encoding Example 3:Ethernet Manchester Encoding • Positive transition for 0, negative for 1 • Transition every cycle communicates clock (but need 2 transition times per bit) • DC balance has good electrical properties 0 1 1 0 .85 V 0 -.85 .1s

  13. Analog Signal and Modulation

  14. Concepts with Sine Wave • Peak Amplitude (A) • maximum strength of signal • Frequency (f) and Period (T) • Hertz (Hz) or cycles per second • T = 1/f • Phase () • Relative position in time • Wavelength () •  = vT

  15. Amplitude Shift Keying (ASK)

  16. Frequency Shift Keying (FSK)

  17. Phase Shift Keying (PSK)

  18. Quadrature Amplitude Modulation (QAM)

  19. Medium

  20. Physical Media • Guided (twisted pair, fiber) vs. unguided (air, water, vacuum) • Simplex, half duplex, full duplex • Characteristics • Bit Error Rate • Data Rate (what is the difference between data rate & bandwidth?) • Degradation with distance

  21. Transmission Channel Considerations Good Bad • Every medium supports transmission in a certain frequency range. • Outside this range, effects such as attenuation, .. degrade the signal too much • Transmission and receive hardware will try to maximize the useful bandwidth in this frequency band. • Tradeoffs between cost, distance, bit rate • As technology improves, these parameters change, even for the same wire. • Thanks to our EE friends Frequency Signal

  22. Capacity Limit • Nyquist Theorem: for a noiseless channel of width H, the maximum capacity 2 x H baud rate. • Shannon’s theorem: for a noisy channel of and bandwidth H and signal to noise ratio of S/N, the maximum capability (bps) is H x log(1 + S/N)

  23. Copper Wire • Unshielded twisted pair • Two copper wires twisted - avoid antenna effect • Grouped into cables: multiple pairs with common sheath • Category 3 (voice grade) versus category 5 • 100 Mbit/s up to 100 m, 1 Mbit/s up to a few km • Cost: ~ 10cents/foot • Coax cables. • One connector is placed inside the other connector • Holds the signal in place and keeps out noise • Gigabit up to a km • Signaling processing research pushes the capabilities of a specific technology. • E.g. modems, use of cat 5

  24. Light Transmission in Fiber 1.0 LEDs Lasers tens of THz loss (dB/km) 0.5 1.3 1.55 0.0 1000 1500 nm (~200 Thz) wavelength (nm)

  25. Fiber Types • Multimode fiber. • 62.5 or 50 micron core carries multiple “modes” • used at 1.3 microns, usually LED source • subject to mode dispersion: different propagation modes travel at different speeds • typical limit: 1 Gbps at 100m • Single mode • 8 micron core carries a single mode • used at 1.3 or 1.55 microns, usually laser diode source • typical limit: 1 Gbps at 10 km or more • still subject to chromatic dispersion

  26. Wireless Technologies • Great technology: no wires to install, convenient mobility, .. • High attenuation limits distances. • Wave propagates out as a sphere • Signal strength reduces quickly (1/distance)3 • High noise due to interference from other transmitters. • Use MAC and other rules to limit interference • Aggressive encoding techniques to make signal less sensitive to noise • Other effects: multipath fading, security, .. • Ether has limited bandwidth • Try to maximize its use • Government oversight to control use

  27. The Frequency Spectrum is crowded…

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