Toward Terabit Autonomic Optical Networks Based on a Software Defined Adaptive/Cognitive Approach [Invited]

Abstract

Terabit elastic optical networking (EON) is foreseen as a viable solution to extend the lifetime of a network exploiting the available bandwidth in previously deployed optical fibers. EON is based on bandwidth-variable transponders capable of supporting multiple bit rates and/ or modulation formats according to traffic requirements and node architectures that route arbitrary channel bandwidths. Thus, EON increases the heterogeneity of the network, which may create the need for autonomic adaptive and/or cognitive techniques. In this context, the software-defined networking (SDN) paradigm emerges as an opportunity to enable such techniques thanks to the centralized view of the network by decoupling the control plane and the data plane. This paper surveys different activities carried out at the Optical Technologies Division in Centro de Pesquisa e Desenvolvimento em Telecomunicações, Brazil. We review an optical transport SDN controller for virtual optical networks that supports two adaptive algorithms. First, the autonomic flexible transponder reconfigures the transmission modulation format according to a threshold level. Second, the adaptive global spectrum equalization reconfigures the wavelengths' attenuation profiles applied at the optical nodes to improve the signals' optical signal-to-noise ratio (OSNR) at reception. Finally, we report experimental results of an in-band OSNR monitor for advanced modulation formats.

Artificial intelligence (AI) methods in optical networks: A comprehensive survey

“…Cognition-based methods [99]: correct mapping of topologies in considerably low total times. [100]: introduces a transport SDN controller that facilitates optical network virtualization and autonomic operation. [101]: proposes a new inter-networking paradigm based on broker agents with cognitive intelligence.…”

“…Furthermore, Oliveira et al [100] introduce a transport SDN controller that facilitates optical network virtualization and autonomic/cognitive operation by means of two adaptive algo-rithms that allow to reconfigure, on one hand, the transmission modulation format and spectrum utilization according to network conditions and on the other hand, the attenuation applied at the ROADMs to improve the OSNR of the signals at the reception. Yan et al [102] propose and demonstrate in a field trial the planning of an SDN-based optical network utilizing neural network-based methods, which are able to predict link performance in correlation with the OSNR.…”

Software Defined Optical Networks (SDONs): A Comprehensive Survey

“…SDN can provide the framework for implementing these cognitive processes. Two main types of software adaptable components have been considered so far [198], [199], namely control of transceivers and control of wavelength selective switches/amplifiers. For transceiver control, the cognitive control adjusts the transmission parameters.…”

Match Field based Algorithm Selection Approach in Hybrid SDN and PCE Based Optical Networks

“…With SDN controller the PCE can be programmed in real time through the interfaces [6]. The hybrid SDN based PCE can get extra benefits which include global network visibility and dynamic resource optimization with dedicated path computation abilities and so forth.…”