Optimizing splitter and fiber location in a multilevel optical FTTH network

Chardy, Matthieu; Costa, Marie-Christine; Faye, Alain; Trampont, Mathieu

doi:10.1016/j.ejor.2012.05.024

Cited by 37 publications

(23 citation statements)

References 19 publications

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“…Unfortunately, such models can be utilized for only relatively small use cases, like a 28-node network considered in [15]. One of a few examples of using MIP in industrial circles is a work published by Orange Labs, France [3,7,8]. Their model is practically justified.…”

Section: Related Workmentioning

confidence: 99%

MIP model for efficient dimensioning of real-world FTTH trees

2017

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We propose a mixed-integer programming (MIP) formulation for a problem of optimal dimensioning of equipment of the fiber-to-the-home optical access network (FTTH-OAN). The optimization aims at minimizing capital expenditures (CAPEX) related to deployment of the FTTH-OAN, i.e., the cost of active equipment (OLTs and OLT cards), cost of passive equipment (optical splitters, cables, fibers, fibers terminations, splices, closures), cost of site preparations (building, cabinets), and cost of necessary labor (duct preparation and rollout of cables). The formulation has been implemented and validated. General results based on selected real-world scale numerical experiments are presented.

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Section: Related Workmentioning

confidence: 99%

MIP model for efficient dimensioning of real-world FTTH trees

2017

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“…In addition, in [23], the problem of parallel connections is also not adequately addressed. The closest to our research is the work published by Orange Labs, France [6,14,15]. However, the assumptions taken there result from the special features of the areas considered in their research (densely populated urban areas), i.e., always sufficient underground infrastructure or neglected effective reach of FTTH technologies (which does not exceed 10 km in practice for 1:64 split [31]) simplify their model to an extent that we cannot accept.…”

Section: Related Workmentioning

confidence: 83%

“…For instance, in our research, uncertainty in demand volumes is considered in the pre-optimization phase, and thus, it is not taken into account in the optimization model itself as in [14]. Second, the operations & management (O&M) rules considered in our research are not as tight as in [6]. Moreover, we do not consider reliability as in [7,16,17].…”

Section: Related Workmentioning

confidence: 99%

“…When existing infrastructure is not sufficient, i.e., all trenches have to be dug, it is indicated in [24] that selecting P2P architecture does not significantly impact the total cost of deployment. However, as stated in [6], in the majority of urban areas, underground infrastructure is rather abundant and allows to install the FTTH network without digging new trenches, which justifies using the P2M architecture.…”

Section: Introductionmentioning

confidence: 99%

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Profitable areas in large-scale FTTH network optimization

2015

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We present an optimization platform for Fiberto-the-Home network design. The platform is capable of minimizing the capital expenditures (CAPEX) of network deployment by optimizing locations of optical equipment, signal splitters and cable cabinets, optimizing cable routes and types of cables as well as the number and types of optical cards and splitters. We present the architecture of the platform, the design process it implements, and the algorithms it deploys. The platform is used to indicate the parts of the design process that require complex optimization with dedicated algorithms and those that can be left to appropriately crafted engineering rules. We indicate that while keeping the computation time acceptable, much of the CAPEX savings can be obtained when locations of optical equipment are thoroughly optimized, cable routes are determined with plain engineering rules, and finally, signal splitting patterns are optimized carefully to lower the fiber count and thus the cost of cables.

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“…When compared with the single splitting case, this solution increases the cost associated with splitters (there are more splitters in the network) while decreasing the cost associated with fibers (most of the fibers are shorter since this solution enables the second stage splitters to be located closer to the client locations). Chardy, Costa, Faye, and Trampont (2012) have recently addressed the design of multiple PONs using two splitting stage solutions for each PON where the splitting ratio of each stage is pre-defined. As in our case, they consider densely populated urban scenarios with existing network infrastructures.…”

Section: Problem Descriptionmentioning

confidence: 99%