On the Benefits of Probabilistic Constellation Shaping in Flex-Grid/MCF Dynamic Optical Backbone Networks

Perelló, Jordi; Gené, Joan M.; Spadaro, Salvatore

doi:10.23919/ondm51796.2021.9492477

Cited by 1 publication

(10 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We carefully analyze all obtained results to refine and expand the conclusions already extracted in [17].…”

mentioning

confidence: 71%

“…The present paper builds upon and expands the contributions in [17]. There, a worst-case methodology was proposed to estimate the attainable SE along end-to-end paths in a Flex-Grid/MCF optical network, which was employed to shed light into the potential benefits of using PCS versus traditional MFs.…”

Section: Introductionmentioning

confidence: 99%

“…1. We extend and refine the proposed methodology in [17] to not only account for Bypass losses at SDM-ROADMs, but also for those occurring at their Add/Drop modules.…”

Section: Introductionmentioning

confidence: 99%

“…2. We introduce an additional fragmentation-aware route, modulation format, core and spectrum assignment (FA-RMCSA) heuristic, which was not considered in [17].…”

Section: Introductionmentioning

confidence: 99%

“…We conduct new sets of simulations to quantify PCS benefits versus traditional MFs under 1% bandwidth blocking probability (BBP) for each one of the identified SNR TX values in each network. In the conducted simulations, we employ the same RMCSA heuristic as in [17], as well as the fragmentation-aware one newly introduced in this paper.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Evaluation of probabilistic constellation shaping performance in Flex Grid over multicore fiber dynamic optical backbone networks [Invited]

Perelló

Gené

Spadaro

2022

J. Opt. Commun. Netw.

Self Cite

View full text Add to dashboard Cite

In this paper, we present a worst-case methodology for estimating the attainable spectral efficiency over end-to-end paths across a Flex Grid over multicore fiber (MCF) optical network. This methodology accounts for physical link noise, as well as for the signal-to-noise ratio in the Add module ( S N R T X ) of spatial-division-multiplexing-enabled reconfigurable optical add and drop multiplexers (SDM-ROADMs), introducing a dominant noise contribution over that of their Bypass and Drop modules. The proposed methodology is subsequently used to quantify the benefits that probabilistic constellation shaping (PCS) can bring to Flex-Grid/MCF dynamic optical backbone networks, compared to using traditional polarization-multiplexed modulation formats. In a first step, insight is provided into the spectral efficiency attainable along the precomputed end-to-end paths in two reference backbone networks, either using PCS or traditional modulation formats. Moreover, in each one of these networks, two S N R T X values are identified: the S N R T X yielding the maximum average paths’ spectral efficiency, as well as an S N R T X that, although slightly degrading the average paths’ spectral efficiency (by 10%), would yet enable a cost-effective SDM-ROADM Add module implementation. Extensive simulations are conducted to analyze PCS offered load gains under 1% bandwidth blocking probability. Furthermore, the study lastly focuses on finding out whether lower fragmentation levels in Flex-Grid/MCF dynamic optical backbone networks can push PCS benefits even further.

show abstract

“…We carefully analyze all obtained results to refine and expand the conclusions already extracted in [17].…”

mentioning

confidence: 71%

Section: Introductionmentioning

confidence: 99%

“…1. We extend and refine the proposed methodology in [17] to not only account for Bypass losses at SDM-ROADMs, but also for those occurring at their Add/Drop modules.…”

Section: Introductionmentioning

confidence: 99%

“…2. We introduce an additional fragmentation-aware route, modulation format, core and spectrum assignment (FA-RMCSA) heuristic, which was not considered in [17].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations