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Factors in Digital Modulation
efficiency: low BER at low SNR channel: multipath & fading conditions minimize bandwidth required cost-effective & easy implementation Performance Measures for Modulation Schemes (i) p = power efficiency (ii)B = bandwidth efficiency
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Goals in designing a DCS
Maximizing the transmission bit rate Minimizing probability of bit error Minimizing the required power Minimizing required system bandwidth Maximizing system utilization Minimize system complexity
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Limitations in designing a DCS
The Nyquist theoretical minimum bandwidth requirement The Shannon-Hartley capacity theorem (and the Shannon limit) Government regulations Technological limitations Other system requirements (e.g satellite orbits)
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Nyquist minimum bandwidth requirement
The theoretical minimum bandwidth needed for baseband transmission of Rs symbols per second is Rs/2 hertz ?
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Shannon limit Channel capacity: The maximum data rate at which the error-free communication over the channel is performed. Channel capacity on AWGV channel (Shannon-Hartley capacity theorem):
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Shannon limit … Shannon theorem puts a limit on transmission data rate, not on error probability: Theoretically possible to transmit information at any rate Rb , where Rb C with an arbitrary small error probability by using a sufficiently complicated coding scheme. For an information rate Rb > C , it is not possible to find a code that can achieve an arbitrary small error probability.
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Shannon limit … Unattainable region C/W [bits/s/Hz] Practical region
SNR [dB] Practical region Unattainable region
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Shannon limit … Shannon limit There exists a limiting value of below which there can be no error-free communication at any information rate. By increasing the bandwidth alone, the capacity cannot be increased to any desired value.
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Shannon limit … Practical region W/C [Hz/bits/s] -1.6 [dB]
Unattainable region -1.6 [dB]
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Bandwidth efficiency plane
R>C Unattainable region M=256 M=64 R=C M=16 M=8 M=4 Bandwidth limited R/W [bits/s/Hz] M=2 M=4 M=2 R<C Practical region M=8 M=16 Shannon limit MPSK MQAM MFSK Power limited
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Error probability plane (example for coherent MPSK and MFSK)
bandwidth-efficient power-efficient k=5 k=4 k=1 k=2 Bit error probability k=4 k=3 k=5 k=1,2
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Power and bandwidth limited systems
Two major communication resources: Transmit power and channel bandwidth In many communication systems, one of these resources is more precious than the other. Hence, systems can be classified as: Power-limited systems: save power at the expense of bandwidth (for example by using coding schemes) Bandwidth-limited systems: save bandwidth at the expense of power (for example by using spectrally efficient modulation schemes)
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M-ary signaling Bandwidth efficiency:
Assuming Nyquist (ideal rectangular) filtering at baseband, the required passband bandwidth is: M-PSK and M-QAM (bandwidth-limited systems) Bandwidth efficiency increases as M increases. MFSK (power-limited systems) Bandwidth efficiency decreases as M increases.
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