SDM
University
SDM 201
QAM OFDM SDM
A Relative Performance Comparison
1) Sample Rates for Given Bandwidth
a) QAM, OFDM
i) Each generates a spectrum centered
about 0Hz; this sets the maximum frequency of interest for sampling
purposes at half the final (RF) bandwidth. Nyquist requires
that the sampling rate be at least twice the maximum frequency of
interest.

ii) Centering about 0Hz also eliminates the
negative image of the up-/down-converted signal; the IF filtering
need only eliminate the sampling image. This requires that the
maximum frequency of interest be raised by at least half the transition
band of an IF filter.

iii) Both QAM and OFDM use I and Q
sampling, therefore two sample streams are generated, and the
number of Samples processed per unit time would be:

b) SDM
i) SDM Wavelets use a pure real spectrum, with
no negative components; this sets the maximum frequency of interest
for sampling purposes at the final (RF) bandwidth. Nyquist requires
that the sampling rate be at least twice the maximum frequency of
interest.

ii) With the pure real spectrum of wavelets,
the IF filtering needs to eliminate both the negative image and the
sampling image of the up-/down-converted signal. This requires
that the pure real spectrum start above 0Hz by at least half the transition
band of the IF filter, and that the resulting maximum frequency of
interest be raised by at least half the transition band.

c) The Net Result of the above is:

This expresses the concept that, at similar bandwidths,
the SDM Wavelet Engine processes the same data per symbol as competing
modulations.
2) Symbol Spacing (of consecutive symbols, also known
as baud rate)
a) OFDM
i) OFDM's orthogonal carriers are susceptible
to distortion by the frequency response of the transmission medium
(essentially smearing one symbol into the next, creating Inter-Symbol
Interference (ISI). In order to combat this, a
cyclic prefix is generally pre-pended to the actual symbol data to
allow this transient response to settle out before the data is processed.
Depending on the transmission medium response, this cyclic prefix
is 3-25% of the symbol data.
b) QAM
i) QAM's single-carrier transition encoding
are also susceptible to ISI effects, but the nature of the single
carrier lends itself somewhat better to equalization to eliminate
the effects. No cyclic prefix is used.
c) SDM
i) SDM wavelets use wide, overlapping,
symbols; the baud rate would be the same as for the equivalent
band OFDM symbols, but without the requirement of a cyclic
prefix. This increase in useful baud rate comes at the expense
of a novel but relatively simple process at the front-end of the modulator/
demodulator, which reduces further processing to the same order-of-magnitude
complexity of other modulations.
d) The Net Result of the above:
Wavelets are able to send more symbols
per unit time for a similar bandwidth compared to OFDM; this specific
advantage does not apply to QAM, but note the next comparison.
3) Occupied Bandwidth/Bandwidth efficiency
Any modulation is bounded not only by the bandwidth
it is limited to, but also by the requirement that there be no signal
energy at the edges of the occupied spectrum to avoid interference
with frequency-adjacent signals. The need to reduce this energy results
in a required increase in the occupied spectrum above the modulated
spectrum. This increase is referred to as Alpha.
This can be expressed as either:
The Occupied Bandwidth must be increased from
the Modulation Bandwidth by Alpha.
…or…
The Modulation Bandwidth must be decreased
from the Occupied Bandwidth by Alpha.
a) QAM
i) The single-carrier nature of QAM requires
a reasonably flat response across its occupied spectrum. An external
(to the modulation) filter is required to accomplish this, the combination
of flat response a relatively low tolerance for in-band distortion
results in an Alpha of (1.15).
b) OFDM
i) The multi-carrier nature of OFDM allows
for the band response to be somewhat relaxed relative to QAM; this
results in an effective Alpha of (1.05).
c) SDM
i) The nature of SDM wavelets allows for inherently
steep band edges; no external filter is required to meet the edge
requirements. However, the edge bands need to be left unoccupied,
and the width of these bands relative to the total bandwidth then
determine Alpha. At the expense of increased gate-count, Alpha
can be almost arbitrarily small; practical designs have a range of
(1.02) to (1.05).
d) The Net Result of the above:
Both OFDM and SDM are more efficient at using
available spectrum. This result, combined with the previous, gives
SDM an advantage over both QAM and OFDM.
4) Acquisition/Pilot Tones
a) QAM
i) The single carrier nature of QAM makes detection
and acquisition of the signal inherent in the design of the demodulator.
b) OFDM
i) OFDM uses an FFT to demodulate the data
carriers; this requires receiver synchronization with the symbol boundaries
of the transmitter. To assist this, most OFDM systems dedicate
at least some of the carriers to very simply modulated, non-data signals.
These typically use 1-2% of the carriers, which results in reduced
data throughput.
c) SDM
i) Novel acquisition techniques
remove the need to dedicate bands for acquisition. Current design
decisions result in a 0.1% cost in data throughput.
d) The Net Result of the above:
SDM has a 1 – 2% Data Capacity advantage
over OFDM relative to acquisition requirements.
5) Equalization
a) QAM
i) Equalization of QAM signals, due to their
single-carrier nature, is straightforward, requiring no loss of capacity.
However, when extended over a wide bandwidth (high baud-rate), the
complexity of flattening the spectrum can be quite severe.
b) OFDM
i) Typically, OFDM systems use a periodic
Pilot/Reference signal to equalize each carrier. These signals are
staggered amongst all of the non-pilot carriers, resulting in a 2-8%
loss of data carrying capacity.
c) SDM
i) The single-axis modulation of SDM sub-bands
allows for the data-modulated signals to be used for equalization,
such that no capacity is sacrificed.
d) The Net Result of the above:
SDM has a 2 8% Data Capacity advantage
over OFDM due to Equalization, and a clear complexity advantage at
wide bandwidths over QAM.
6) Spectral Shaping & Fitting
a) QAM
i) QAM systems are not able to send or receive
less than their design bandwidth.
b) OFDM
i) OFDM systems are not able to send less
than their design bandwidth.
c) SDM
i) The extremely steep edges and deep out-of-band
rejection of the sub-bands allow an SDM Wavelet Engine to shape its
signals and response to the available spectrum, even to the extremely
of being able to send a single band purely under software control.
In Upstream cable applications, this allows am SDMWavelet Engine to
shape its spectrum to whatever narrow-band interferers and gaps are
present.
d) The Net Result of the above:
SDM has a unique advantage over both QAM and OFDM
in using sparse and/or narrow available bandwidth; such
conditions are typical in Cable Upstream applications.
7) Narrow Band interference
a) QAM
i) QAM systems are relatively susceptible
to Narrow band signals, without the ability to reject them easily.
b) OFDM
i) OFDM systems susceptibility depends
on the number of carriers used, and on the width of the interferer;
however, very large (4K+) FFTs are needed to reduce the effect below
1%. In addition, the effect of the interference is greater than the
relative width of the interferer; i.e. interference in 1% of the bandwidth
effects at least 3% of the carriers
c) SDM
i) The extremely steep edges and deep out-of-band
rejection of the sub-bands allow an SDM Wavelet Engine to reject narrow-band
interferers from all but the directly co-located band. Similarly to
OFDM, the narrowness of the band (conversely, the number
of bands) is a design decision; generally a number on the scale of
100 is used, making one band a 1% effect. Unlike OFDM, increasing
the width of the interferer up to 1% of the bandwidth does not increase
the errors.
d) The Net Result of the above:
SDM localizes narrowband interference more effectively
than either QAM or OFDM.
Comparison Table

* This comparison is for Overall
Core processing, only; Front End processing for
time domain equalizers for OFDM and QAM are not included
End of Wavelet
201