Digital modulation and RF bandwidth

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SUMMARY

The discussion focuses on the limitations of inventing custom digital modulation schemes that require less RF bandwidth than existing methods such as ASK, PSK, MSK, and OOK. Key factors include the trade-off between information rate, channel bandwidth, and noise, as established by Shannon's capacity formula. Achieving reliable operation near channel capacity is impractical due to excessive coding complexity. Reducing bandwidth necessitates increased transmit power, but the logarithmic relationship complicates this adjustment.

PREREQUISITES
  • Understanding of Shannon's channel capacity and its implications
  • Familiarity with digital modulation schemes like ASK, PSK, MSK, and OOK
  • Knowledge of RF bandwidth concepts and noise characteristics
  • Basic grasp of information theory and its terminology
NEXT STEPS
  • Research Shannon's capacity formula and its applications in communication systems
  • Explore advanced digital modulation techniques and their bandwidth efficiency
  • Investigate methods for reducing noise in RF communications
  • Study the trade-offs between information rate and bandwidth in practical scenarios
USEFUL FOR

Engineers, communication system designers, and researchers interested in digital modulation, RF bandwidth optimization, and information theory applications.

dnyberg2
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Why isn't it possible to invent a custom digital modulation scheme that would use much less RF bandwidth than all the schemes available? What are the limiting factors that do not allow for high data rates to be coded so that the occupied bandwidth is much less than all the others like ASK, PSK, MSK OOK etc...
 
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Look up "channel capacity" on the Internet.
Roughly summarizing you are trading between three things:
1 - information rate
2 - channel bandwidth
3 - noise

You can reduce channel bandwidth if you reduce noise, accept lower information rate, or both.
Note that "information rate" is not the same as bit rate.
There are also practical considerations. It is rarely possible to actually achieve reliable operation right at the channel capacity because it would require too much coding complexity.
 
Shannon showed that the capacity of a band-limited communication channel with AWGN is
[tex]C=Wlog_2(1+\frac{P}{N_0W})[/tex]
where W is the channel bandwidth, P is the signal power and N0 is noise power spectral density. Reducing the bandwidth requires increasing transmit power to keep capacity the same, but the logarithmic function makes it very painful to do this.
 

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