A techno-economic network planning tool for PON deployment including protection strategies

Arévalo, Germán V.; Gaudino, Roberto

doi:10.1109/icton.2017.8025122

Cited by 9 publications

(10 citation statements)

References 5 publications

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“…Another heuristic approach was recently introduced in [13]. The approach is based on clustering and a Tabu search and has been enhanced with mechanisms handling resiliency issues as presented in [14]. The approach we use in this paper, originally presented in [15], is based on beam search [16].…”

Section: A Literature Regarding Ftth Planningmentioning

confidence: 99%

Strategic Planning towards Automation of Fiber To The Home (FTTH) Considering Optic Access Network (OAN) Model

Naeem¹,

Shafique²,

Wadud³

et al. 2019

IJACSA

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With the intention to meet the increasing demand of future higher bandwidth applications, fiber based Gigabit Passive Optical Network (GPON) access is considered best resolution to deliver triple play services (voice, data, video). Hence, it becomes obligatory to migrate from traditional copperbased network to fiber-based. Due to rapid technological evolution, tough competition and budget limitation the service providers are struggling to provide a cost effective solution to minimize their operational cost with extra ordinary customer satisfaction. One of the factors that increase the cost of overall Fiber To The Home (FTTH) network is the unplanned deployment resulting in utilization of extra components and resources. Hence, it is imperative to determine a suitable technique, which helps to reduce planning process, required time and deployment cost through optimization. Automation based planning is one of the possible ways to automate the network design at probable lowest cost. In this research, a planning technique for migration from copper to fiber access network with a manageable and optimized Passive Optic Network (PON-FTTx) infrastructure is presented identifying a cost-effective strategy for developing countries.

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Section: A Literature Regarding Ftth Planningmentioning

confidence: 99%

Strategic Planning towards Automation of Fiber To The Home (FTTH) Considering Optic Access Network (OAN) Model

Naeem¹,

Shafique²,

Wadud³

et al. 2019

IJACSA

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show abstract

“…Constants ζ H and ζ D denote the cost of a single fibre in, respectively, C O-D P and D P-AP relations; to facilitate further analysis, values ζ H = 40 and ζ D = 30 are arbitrarily assumed. 2 Eventually, optimal compatible configurations of each range (the optimal costs are written in parentheses) obtained w.r.t. cost function (1) are shown in Table 3.…”

Section: Example Casementioning

confidence: 99%

“…Recently a number of heuristics have been introduced in the field. An approach presented in [3] is based on clustering, uses Tabu search, and has been enhanced with resiliency in [2]. On the other hand, approach presented in [35] is based on beam search [5], has been enhanced with uncertainty issues in [32], and upgraded with the MIP polishing in [23].…”

Section: Introductionmentioning

confidence: 99%

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

Mycek

Żotkiewicz

2018

Telecommun Syst

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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. Keywords FTTx • FTTH • Optical access network • Multi-period optimization Centre, Poland, under Grant 2014/15/D/ST7/05320 "Open problems in large-scale optical access network design".

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“…Second, because Internet networks are unable to serve new customers due to technological limitations [7,8], approach their physical limitations [9,10]. More than two distinct challenges, the opposite direction between declining network capacity and growing Internet demand [11] signals that the scenario ahead calls for an urgent solution: expanding (current or new) Internet networks. Considering that network planning is part of this solution, network planners play a relevant role in this context [2,7,[12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…For the most part, the network planning literature is related to applying optimization methods [3,11,12,[15][16][17][18][19][20][21] to minimize investments in cables and equipment [5]. However, by focusing exclusively on investments, these studies disregard the growth in Internet demand over time that directly influences network designs.…”

Section: Introductionmentioning

confidence: 99%

Expand or Oversize? Planning Internet Access Network in a Demand Growth Scenario

et al. 2020

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Internet network design specialists are looking for technologies and strategies to deliver network service under increased demand conditions. The choice of strategies is based on applying optimization and decision-making methods to select the most appropriate cable network design considering criteria established by the problem definition. However, this definition is itself a decision problem that has not received analysis in the literature. In particular, one of the most important questions is the necessity to define an expansion strategy. The first alternative (expansion) is to design a network to serve consumers with Internet demand equal to or greater than the predefined one to expand the network annually to serve consumers that reach the predefined Internet speed. The second alternative (oversizing) is to design a network to serve consumers with future Internet demand (after 5 years) at or above that the predefined one. Considering this, the objective of this research is to define the most advantageous strategy of expansion planning to attend a 5 years forecasted Internet demand, considering: (1) the possibility of utilizing a Gigabit-capable Passive Optical Network technology; (2) the application of the minimal Steiner tree and Dijkstra algorithms in planning procedures; (3) the influence of economic and technological factors on the demand forecast; (4) the aggressive, moderate, and conservative scenarios in decision-making. The results show that the over-dimensioning strategy reduces network investment by between 30 and 41%, but that this reduction does not always lead to a market investment ratio higher than that observed in the expansion strategy.

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A techno-economic network planning tool for PON deployment including protection strategies

Cited by 9 publications

References 5 publications

Strategic Planning towards Automation of Fiber To The Home (FTTH) Considering Optic Access Network (OAN) Model

Strategic Planning towards Automation of Fiber To The Home (FTTH) Considering Optic Access Network (OAN) Model

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

Expand or Oversize? Planning Internet Access Network in a Demand Growth Scenario

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