2020
DOI: 10.1109/jlt.2020.2991374
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Minimum-Cost Optical Amplifier Placement in Metro Networks

Abstract: Emerging 5G services are revolutionizing the way operators manage and optimize their optical metro networks, and the metro network design process must be rethought accordingly. In particular, minimizing network cost is crucial to curb operators' investment. Taking advantage of relatively-short distances in metro networks, operators have the opportunity to optimize the placement of optical amplifiers (OAs) with the goal of minimizing amplifiers' cost (and hence decrease network cost) without significantly affec… Show more

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Cited by 15 publications
(8 citation statements)
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“…minCostGA vs Baseline: Results show significant savings in total OA cost achieved by GA in comparison to the baseline approach 5 . Specifically, the savings range between 45% and 60% for the 6-node topology and between 45% and 59% for the 11-node topology for the filterless horseshoe scenario (minCostGA-FON vs Baseline).…”
Section: B Numerical Results and Discussionmentioning
confidence: 99%
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“…minCostGA vs Baseline: Results show significant savings in total OA cost achieved by GA in comparison to the baseline approach 5 . Specifically, the savings range between 45% and 60% for the 6-node topology and between 45% and 59% for the 11-node topology for the filterless horseshoe scenario (minCostGA-FON vs Baseline).…”
Section: B Numerical Results and Discussionmentioning
confidence: 99%
“…A lighthpath i is feasible if it meets the QoT requirements, i.e., the total OSNR (which also comprises the non-linear noise from the GN-model [8]) and received power (P rec ) constraints (OSN R i > threshold and P rec,i > threshold, as defined in Eq. 5and (6) in [5]). A solution is feasible if all lightpaths meet QoT requirements (thus f = 1), whereas a solution is unfeasible if there is at least one lightpath in set I which does not meet the OSNR and/or P rec constraint (f < 1).…”
Section: B Genetic Algorithm For Oa Placementmentioning
confidence: 99%
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“…The path computation derives optimal transmission parameters and a route for each optical path, for example, using GNPy. At this stage, the optimal values of the gain of the cascaded optical amplifiers should be carefully recalculated so that addition or deletion of optical paths and changes in output power from transmitters do not affect the transmission quality of other existing optical paths [15][16][17][18]. In the second method, an SDN controller generates optical paths in a real or physical domain according to the results of the path computation.…”
Section: Related Workmentioning
confidence: 99%
“…Characteristics of EDFAs are taken from [4], and their gains are set to compensate propagation losses as in [7]. Received optical power (computed as in [7]) must be above -18 dBm, putting a constraint on OA placement.…”
Section: B Physical Modelmentioning
confidence: 99%