Abstract
In wavelength-division-multiplexed (WDM) systems, performance is affected
by the bit patterns on the various channels and, in order to account for this
pattern dependence, one should perform a large number of simulations, each
by using different patterns of suitable length in all channels and then average
all results. However, since the number of patterns to be considered for averaging
could be considerable, this approach would be very demanding from a computational
point of view, even using multicanonical
Monte Carlo (MMC) simulations. In single-channel systems, pattern dependence
can be accounted for through the pattern perturbation method, a computationally
efficient way for performing a random walk over an extended state space, which
includes, in addition to noise components, also the transmitted bit pattern.
In this way, not only the most relevant noise configurations but also the
most relevant bit patterns (those having a major impact on the error events)
are sampled more frequently by the MMC simulation, leading to enhanced efficiency
in estimating the error probability. Here, the pattern perturbation method
is extended to the WDM case, and simulations results are reported to show
the effectiveness of the proposed approach.
© 2010 IEEE
PDF Article
More Like This
Cited By
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription