H2020Individual fellowship2016–2018

CENTURION · Signal proCEssing in optical communication NeTworks Using ReservoIr cOmputiNg

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2016-07-01 → 2018-06-30
EU contribution
€170,122
Participants
1
Scheme
MSCA-IF-EF-ST

Lines connect the coordinator with its partners.

Results in brief

Signal proCEssing in optical communication NeTworks Using ReservoIr cOmputiNg

The technological advances in optical communications aim at the highest data throughput over the longest distances with energy efficient and low complexity designs. However, transmission impairments put strict limitations on communication speed and distance in fiber-optic communication systems. On the receiver side, high-speed digital signal processing (DSP) algorithms have improved signal recovery by mitigating linear and nonlinear signal distortions, but they are also facing challenges for future trends. They are efficient as long as nonlinear signal distortions do not become too complicated. Lately, machine learning algorithms have been in the spotlight of the optical communications community. They are being considered for optical network monitoring and optimization, optical header recognition and mitigation of transmission effects. Still, the drawback of applying these tools in ultrafast systems is that they are computationally expensive and still far from reaching real-time processing at telecom data rates. In the CENTURION project, a straightforward objective was defined: “To train the experienced researcher (ER) in the concepts of reservoir computing and FPGA programming, in order to append intelligence to the decision making processes in optical communication networks and to offer sophisticated solutions for routing and switching in telecom applications and to reduce storing requirements in sensing applications.” The accomplishment of this objective was in direct dependence of the individual tasks distributed in three (3) technical WPs that covered the 24-month project period: • WP1: to train the ER in numerical simulations methodologies, FPGA hardware and FPGA programming, and to familiarize with the equipment and facilities of IFISC. • WP2: to design and implement theoretical investigations and numerical recipes of the advanced concepts of reservoir computing (RC) and to apply them into crucial problems such as the fast optical header recognition in optical telecom networks and data reduction in the readout/storing process of sensing networks. • WP3: to build and exploit experimental implementations through FPGA-based or photonic RCs that deal with the above applications.

Data: CORDIS, © European Union

Project objective

Optical fiber communication technologies substantially support high-speed, long-distance or/and terabit capacity networks all around the globe. Contemporary applications oblige the network operation to respond efficiently and rapidly to any user request. To achieve such demands, optical label switching (OLS) techniques have been developed to support data traffic in fiber networks. The reliable and fast processing of data headers is highly critical for trustworthy transmission flow. All-optical header recognition has been investigated lately through diverse physical implementations that offer competitive advantages; however, these configurations have been proposed as basic processing units with practically small or non-existing intelligence. Reservoir computing (RC) as a method of applying intelligence to physical systems has been lately proposed to exploit the inherent nonlinearities of photonic devices and components that are commercially available towards proficient processing of light. Lately, field programmable gate arrays (FPGA) modules have been engaged to exploit nonlinearities through the fast implementation of algorithms that work towards this direction. CENTURION project aims at joining several multidisciplinary research aspects that belong to the fields of non-linear dynamics, optical communications, FPGA programming and informatics and establish FPGA-assisted and photonic RC as intelligent high-speed methodologies in data traffic management of broadband optical signals. The objective is to train the experienced researcher in FPGA programming and the concepts of reservoir computing, in order to append intelligence to the decision making processes in optical communication networks and to offer sophisticated solutions for routing and switching in telecom applications and to reduce storing requirements in sensing applications.

Original text from CORDIS.

Participants

  • UNIVERSITAT DE LES ILLES BALEARS · PALMA DE MALLORCACoordinatorSpain

Links

Data: CORDIS, © European Union