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Physical Layer

Physical Layer. Cont. Outline. Digital Signal Digital versus Analog Data Rate Limits Transmission Impairment More about signals. Digital Signals. Bit Rate and Bit Interval. Bit Interval: the time required to send one single bit

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Physical Layer

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  1. Physical Layer Cont.

  2. Outline • Digital Signal • Digital versus Analog • Data Rate Limits • Transmission Impairment • More about signals

  3. Digital Signals

  4. Bit Rate and Bit Interval • Bit Interval: the time required to send one single bit • Bit rate: the number of bit interval per second, bits per second (bps)

  5. Example • Question: A digital signal has a bit rate of 2000 bps. What is the duration of each bit (bit interval) • Solution: The bit interval is the inverse of the bit rate. Bit interval = 1/ 2000 s = 0.000500 s = 500 μs

  6. Digital Signals as a composite Analog Signals • A Digital Signal is a composite signal with an infinite bandwidth • Digital Signal Through a Wide-BW medium • A dedicated medium such as a coaxial cable to send digital data through LAN • Digital Signal Through a Band-Limited Medium • What is the minimum required bandwidth B in hertz if we want to send n bps?

  7. Digital versus Analog • Using only One Harmonic • B = n/2 • Using More Harmonics • B>=n/2 or n<=2B

  8. Digital versus Analog

  9. Bandwidth Requirement • The bit rate and the bandwidth are proportional to each other

  10. Digital versus Analog Bandwidth • The analog bandwidth of a medium is expressed in hertz, the digital bandwidth, in bits per second • Higher bit rate : modulation technique

  11. Analog Versus Digital • Low pass channel: bandwidth frequencies between 0 and f • Band pass channel: bandwidth frequencies between f1 and f2 • Digital transmission needs a low pass channel • Analog transmission can use a band pass channel

  12. Low pass & Band pass

  13. Data Rate Limits • Noiseless Channel: Nyquist Bit Rate • Bit rate = 2* Bandwidth * log2L • L = numbers of signal level • Noisy Channel: Shannon Capacity • Capacity = Bandwidth * log2 (1+SNR) • SNR = signal-to-noise ratio

  14. Example • Question: Consider a noiseless channel with a bandwidth of 3000 Hz transmitting a signal with two signal levels. The maximum bit rate can be calculated as • Solution: BitRate = 2  3000  log2 2 = 6000 bps

  15. Example • Question: Consider the same noiseless channel, transmitting a signal with four signal levels (for each level, we send two bits). The maximum bit rate can be calculated as: • Solution: Bit Rate = 2 x 3000 x log2 4 = 12,000 bps

  16. Example • Question: We have a channel with a 1 MHz bandwidth. The SNR for this channel is 63; what is the appropriate bit rate and signal level? • Solution: First, we use the Shannon formula to find our upper limit. • Then we use the Nyquist formula to find the number of signal levels C = B log2 (1 + SNR) = 106 log2 (1 + 63) = 106 log2 (64) = 6 Mbps 4 Mbps = 2  1 MHz  log2L L = 4

  17. Transmission Impairment • Attenuation: • Loss of energy • need amplifier • Distortion: • Change of form or shape • Noise • Thermal noise, induced noise, cross talk, etc.

  18. Attenuation

  19. Decibel • Showing that a signal has lost or gained strength • dB = 10 log10(P2/P1)

  20. Example • Question: Imagine a signal travels through a transmission medium and its power is reduced to half. • Solution: This means that P2 = 1/2 P1. In this case, the attenuation (loss of power) can be calculated as 10 log10 (P2/P1) = 10 log10 (0.5P1/P1) = 10 log10 (0.5) = 10(–0.3) = –3 dB

  21. Example • Question: Imagine a signal travels through an amplifier and its power is increased ten times. • Solution: This means that P2 = 10 * P1. In this case, the amplification (gain of power) can be calculated as 10 log10 (P2/P1) = 10 log10 (10P1/P1) = 10 log10 (10) = 10 (1) = 10 dB

  22. Example In the following figure, a signal travels a long distance from point 1 to point 4. The signal is attenuated by the time it reaches point 2. Between points 2 and 3, the signal is amplified. Again, between points 3 and 4, the signal is attenuated. We can find the resultant decibel for the signal just by adding the decibel measurements between each set of points.

  23. Example dB = –3 + 7 – 3 = +1

  24. Distortion

  25. Noise

  26. More about the signal • Throughput • The measurement of how fast the data can pass through an entity (n per second) • Propagation Speed • The measurement of the distance a bit can travel through a medium in one second • Propagation Time • The measurement of time required for a bit to travel from one point to another point of the medium • Propagation time = Distance/Propagation speed • Wavelength • Wave length = Propagation speed * period

  27. Throughput

  28. Propagation Time

  29. Wavelength

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