On optimal trajectory for the multi-period evolution of FTTx networks

Mariusz Mycek , Mateusz Żotkiewicz


We propose a business/cost model for long-period changes of customer demands in FTTx networks. We show how to exploit this model in the formulation of a MIP optimization problem that, for a given sequence of customer demand vectors provides (when solved to the optimality) the absolute benchmark. The model is relatively complicated and cannot be directly applied to the optimization of real-world networks without a number of algorithmic tricks that are discussed in this paper. The presented approach has been implemented and tested against an example network instance. Test results are given and discussed in the paper.
Author Mariusz Mycek (FEIT / IT)
Mariusz Mycek,,
- The Institute of Telecommunications
, Mateusz Żotkiewicz (FEIT / IT)
Mateusz Żotkiewicz,,
- The Institute of Telecommunications
Journal seriesTelecommunication Systems, ISSN 1018-4864, [1572-9451 (electronic version)]
Issue year2019
Publication size in sheets1.15
Keywords in EnglishFTTx, FTTH, Optical access network, Multi-period optimization
ASJC Classification2208 Electrical and Electronic Engineering
URL https://link.springer.com/content/pdf/10.1007%2Fs11235-018-0503-8.pdf
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, end date 21-12-2018, IT/2015/badawczy/44, Completed
WEiTI Projects financed by NSC [Projekty finansowane przez NCN]
Languageen angielski
LicenseJournal (articles only); author's original; Uznanie Autorstwa (CC-BY); after publication
2018 Mycek Żotkiewicz On optimal trajectory for the multi-period evolution of FTTx networks.pdf 1.39 MB
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 22-06-2020, ArticleFromJournal
Publication indicators WoS Citations = 0; Scopus Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.982; WoS Impact Factor: 2018 = 1.707 (2) - 2018=1.34 (5)
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