Uncertainty in FTTH splitter installation

Mateusz Żotkiewicz


In this article, a problem of rational splitter installation in Fiber‐to‐the‐Home (FTTH) networks is considered. The most expensive and time consuming part of the FTTH deployment is trenching and other labor involved in cable installation. When cables are deployed, the operator can start to connect customers to the network. However, the process still requires expenditures for both passive (splitters) and active (ONUs, OLT cards) equipment. First, we define an optimization problem of rational selection of splitters in the process of connecting new customers to a network. Second, we present two methods for handling the problem. The methods are named SpliSeals (Splitter Selection Algorithms). They take into account the actual take‐up rate and customer arrival patters to minimize the total expected cost of installed splitters. The average cost savings the presented algorithms can provide over rational, computer unaided methods exceed 10%, reaching almost 20% in some groups of cases, or even 40% in particular test cases. SpliSeals not only can be used to minimize the deployment cost of FTTH networks but also to assess the impact of uncertainty on network designs returned by automated methods.
Author Mateusz Żotkiewicz (FEIT / IT)
Mateusz Żotkiewicz,,
- The Institute of Telecommunications
Journal seriesNetworks, ISSN 0028-3045 [1097-0037 (online)], (A 25 pkt)
Issue year2018
Publication size in sheets0.6
Keywords in EnglishPON; FTTH; access networks; splitter allocation;uncertainty; dynamic programming; combinatorial optimization
projectOpen issues in the design of large-scale access optical networks. Project leader: Żotkiewicz Mateusz, , Phone: +48 22 234-6189, application date 09-12-2014, start date 22-07-2015, planned end date 21-07-2018, IT/2015/badawczy/44, Implemented
WEiTI Projects financed by NSC [Projekty finansowane przez NCN]
Languageen angielski
2018 Żotkiewicz Uncertainty in FTTH Splitter Installation.pdf 1.93 MB
Score (nominal)25
ScoreMinisterial score = 25.0, 17-05-2018, ArticleFromJournal
Ministerial score (2013-2016) = 25.0, 17-05-2018, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 1.213 (2) - 2016=1.306 (5)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.