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A-01:
Quick Introduction to
Communication System
Author
10/3/2013 1
Communication System
• Source encoder converts message into message signal or
bits.
• Transmitter converts message signal or bits into format
appropriate for channel transmission (analog/digital signal).
• Channel introduces distortion, noise, and interference.
• Receiver decodes received signal back to message signal.
• Source decoder decodes message signal back into original
message.
Analog vs. Digital System
• Analog Signals
– Value varies continuously
• Digital Signals
– Value limited to a finite set
– Digital systems more robust
• Binary Signals
– Has at most 2 values
– Used to represent bit values
– Bit time T needed to send 1 bit
– Data rate R=1/T bps
Performance Metric
• Analog communication systems
– Metric is fidelity (the ability of the receiver to
reproduce all the modulating frequency equally).
• Digital communication systems
– Metrics are data rate and of bit error rates (BER).
– Without noise, never make bit errors.
– With noise, BER depends on signal and noise
ration (SNR), data rate, and channel
characteristics.
Digital Modulation
• Most information today is in bits.
• Baseband modulation converts bits into
analog signals.
• Rectangular pulse don’t have good BW
properties.
• Nyquist pulse allow tradeoff
of bandwidth characteristic
to timing errors
Digital Modulation
BPSK, QPSK, QAM
Harmonic Signals in Nyquist-Pulse
• Good BW performance, poor harmonic
interference.
• Harmonic signals create interference (e.g.
Inter-Symbol Interference).
Solution to Nyquist Inter Symbol Interference
What is OFDM?
Difference between OFDM and OFDMA
LTE Downlink OFDMA

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A 01-quick-introduction-to-digital-communication-system

  • 1. A-01: Quick Introduction to Communication System Author 10/3/2013 1
  • 2. Communication System • Source encoder converts message into message signal or bits. • Transmitter converts message signal or bits into format appropriate for channel transmission (analog/digital signal). • Channel introduces distortion, noise, and interference. • Receiver decodes received signal back to message signal. • Source decoder decodes message signal back into original message.
  • 3. Analog vs. Digital System • Analog Signals – Value varies continuously • Digital Signals – Value limited to a finite set – Digital systems more robust • Binary Signals – Has at most 2 values – Used to represent bit values – Bit time T needed to send 1 bit – Data rate R=1/T bps
  • 4. Performance Metric • Analog communication systems – Metric is fidelity (the ability of the receiver to reproduce all the modulating frequency equally). • Digital communication systems – Metrics are data rate and of bit error rates (BER). – Without noise, never make bit errors. – With noise, BER depends on signal and noise ration (SNR), data rate, and channel characteristics.
  • 5. Digital Modulation • Most information today is in bits. • Baseband modulation converts bits into analog signals. • Rectangular pulse don’t have good BW properties. • Nyquist pulse allow tradeoff of bandwidth characteristic to timing errors
  • 8. Harmonic Signals in Nyquist-Pulse • Good BW performance, poor harmonic interference. • Harmonic signals create interference (e.g. Inter-Symbol Interference).
  • 9. Solution to Nyquist Inter Symbol Interference