Monitoring and all-optical signal processing techniques for transparent networks

Optical networks are under constant evolution. The
growing demand for dynamism require devices that can
accommodate different types of traffic. Thus the study
of transparent optical networks arises. This approach
makes optical networks more "elegant" , due to a more
efficient use of network resources. In this thesis, the
author proposes devices that intend to form alternative
approaches both in the state of art of these same technologies
both in the fitting of this technologies in transparent
optical networks. Given that full transparency is
difficult to achieve with current technology (perhaps with
more developed optical computing this is possible), the
author proposes techniques with different levels of transparency.
On the topic of performance of optical networks,
the author proposes two techniques for monitoring chromatic
dispersion with different levels of transparency.
In Chapter 3 the proposed technique seems to make
more sense for long-haul optical transmission links and
high transmission rates, not only due to its moderate
complexity but also to its potential moderate/high cost.
However it is proposed to several modulation formats,
particularly those that have a protruding clock component.
In Chapter 4 the transparency level was not tested for
various modulation formats, however some transparency
is achieved by not adding any electrical device after the
receiver (other than an analog-digital converter). This allows
that this technique can operate at high transmission
rates in excess of 100 Gbit / s, if electro-optical asynchronous
sampling is used before the optical receiver.
Thus a low cost and low bandwidth photo-detector can
be used.
In chapter 5 is demonstrated a technique for simultaneously
monitoring multiple impairments of the optical
network by generating novel performance analysis diagrams
and by use of artificial neural networks.
In chapter 6 the author demonstrates an all-optical technique
for controlling the optical state of polarization and
an example of how all-optical signal processing can fully
cooperate with optical performance monitoring.