In-service measurement of the OSNR in ROADM-based networks

Moench, W.; Larikova, Julia

doi:10.1049/ic:20070046

Cited by 1 publication

(1 citation statement)

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“…The WaveAnalyzer (WA) frequency resolution is set to 150MHz, 500MHz, 1GHz, 2GHz to explore the accuracy of the monitoring performance. Outof-band OSNR computation is used to obtain the benchmark which is used to assess the monitoring performance [28]. As shown in Fig.…”

Section: B Monitoring Performancementioning

confidence: 99%

Self-Learning Monitoring On-Demand Strategy for Optical Networks

Meng¹,

Mavromatis²,

Bi³

et al. 2018

J. Opt. Commun. Netw.

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In current dynamic optical networks with cascaded filters and amplifiers, optical signal-to-noise ratio (OSNR) can vary significantly from channel to channel. Under such uncertainty, OSNR prediction for unestablished channels becomes indispensable but remains a big challenge. For protective network planning purposes such as margin threshold setting or wavelength assignment, it is desirable to evaluate the worst OSNR performance of each network link. Such exploration will unavoidably employ active monitoring probes which may cause interruptions to the network. An efficient active monitoring strategy that optimizes the choice of probes or monitoring trials is needed. We propose a "self-learning" monitoring strategy integrated at intermediate nodes. Our method can intelligently select the channel to be monitored in order to search for the target global maxima of OSNR degradation for a specific link. Our monitoring scheme detects intermediate node OSNR in the linear regime. It is shown that our method can predict the target OSNR value with only 0.5dB error while reducing the required monitoring data by up to 91% compared with conventional methods.

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Section: B Monitoring Performancementioning

confidence: 99%