1. 1 Physical Layer

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

3. 3 Analog vs. Digital  Can be used in three contexts: information, signal, transmission Text, integers, binary strings Voice, video Square wavesSine waves Use repeater to boost signal Use amplifier to boost signal DigitalAnalog Information Signal Transmission

4. 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. 5 Signal Decomposition  All signals can be decomposed into harmonic sine waves = + 1.3 X + 0.56 X + 1.15 X

6. 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. 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. 8 Digital Signal

9. 9  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. 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 V0.85 -.85 0001 1010 1

11. 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. V0.85 -.85 0001 1010 1

12. 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 V0.85 -.85 0110.1  s

13. 13 Analog Signal and Modulation

14. 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. 15 Amplitude Shift Keying (ASK)

16. 16 Frequency Shift Keying (FSK)

17. 17 Phase Shift Keying (PSK)

18. 18 Quadrature Amplitude Modulation (QAM)

19. 19 Medium

20. 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. 21 Transmission Channel Considerations  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 GoodBad Signal

22. 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. 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. 24 Light Transmission in Fiber 1000 wavelength (nm) loss (dB/km) 1500 nm (~200 Thz) 0.0 0.5 1.0 tens of THz 1.3  1.55  LEDsLasers

25. 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. 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. 27 The Frequency Spectrum is crowded…