Access services availability and traffic forecast in PON deployment

Segarra, Josep; Sales, Vicent; Prat, Josep

doi:10.1109/icton.2011.5970909

Cited by 16 publications

(12 citation statements)

References 5 publications

(7 reference statements)

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“…Capacity planning based on oversubscription works because of the empirical observation that only a small portion of subscribers are simultaneously active at a given random instant [8,9]. Network designers leverage this fact to provide access to a large number of users at a moderate expense of resources.…”

Section: Gpon Xg-pon and Twdm-pon With Oversubscriptionmentioning

confidence: 99%

Provisioning 1 Gb/s symmetrical services with next-generation passive optical network technologies

et al. 2016

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Section: Gpon Xg-pon and Twdm-pon With Oversubscriptionmentioning

confidence: 99%

Provisioning 1 Gb/s symmetrical services with next-generation passive optical network technologies

et al. 2016

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“…In our Internet service model, a maximum target bandwidth, namely B target , is offered to each customer with a minimum percentage of time of availability, namely p avail,min . We adopt the user behavior model from Segarra et al [19], where each user has the same probability p act to be active and users are independent. 5 In our simulations, p act is fixed at 10% [20].…”

Section: User Demand Model For Triple Play Servicesmentioning

confidence: 99%

“…However, when there are too many active users, B max may be smaller than B target , so the offered bandwidth may be lower than the requested bandwidth. The probability p avail that B target is available (B max ≥ B target ), equals the probability that the number of active users k is smaller than or equal to k max , given by the cumulative binomial probability [19] …”

Section: Quality Of Service (Qos) Restrictionsmentioning

confidence: 99%

Energy efficiency analysis of high speed triple-play services in next-generation PON deployments

et al. 2015

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In this paper, the energy consumption of high speed access services up to 1 Gb/s per customer is estimated for different passive optical network (PON) technologies. While other studies on PON power consumption typically assume a fixed split ratio, we also consider a greenfield approach, where the split ratio can be optimized for each technology, taking full advantage of its capacity and reach. The split ratio optimization takes into account Quality of Service (QoS) in terms of bandwidth availability and packet loss for triple-play services (voice, television and Internet). This paper includes an in-depth discussion of our split ratio dimensioning approach and our power consumption model for an optical access network in a major city. The obtained results show that statistical gain provided by dynamic bandwidth allocation as well as power splitting ratio optimization in PONs are key factors for achieving energy efficiency. For access rates up to 900 Mb/s, XG-PON1 turns out to be the most energy efficient option. For higher access rates up to 1 Gb/s, the optimal technology depends on split ratio restrictions. If an existing optical distribution network (ODN) with split ratio 1:64 is used, XG-PON1 remains the most energy efficient technology. If higher split ratios up to 1:256 can be achieved, TWDM PON becomes the most energy efficient solution for access rates up to 1 Gb/s.

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“…We only model downstream bandwidth, assuming the upstream bandwidth scales with downstream bandwidth following the technology-dependent PON symmetry ratio (100%, 50% or 25%, see DS/US bandwidth/PON in Table 1). We adopt the user behavior model from [7], where each user has the same probability p act to be active. We extend this model by assuming that users request a fixed target bandwidth B target when they are active.…”

Section: Service Model User Demand Model and Dynamic Bandwidth Allocmentioning

confidence: 99%

Energy efficiency analysis of next-generation passive optical network (NG-PON) technologies in a major city network

Lambert

Montalvo

Torrijos

et al. 2013

2013 15th International Conference on Transparent Optical Networks (ICTON)

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Ever-increasing bandwidth demands associated with mobile backhaul, content-rich services and the convergence of residential and business access will drive the need for next-generation passive optical networks (NG-PONs) in the long term. At the same time, there is a growing interest in reducing the energy consumption and the associated cost of the access network. In this paper, we consider a deployment scenario in a major city to assess the energy efficiency of various PON solutions from a telecom operator's perspective. We compare five nextgeneration technologies to a baseline GPON deployment offering similar bandwidths and Quality of Service (QoS) for best-effort high speed connectivity services. We follow two approaches: first, we consider a fixed split ratio (1:64) in an existing Optical Distribution Network (ODN); next, we consider an upgraded ODN with an optimized split ratio for the specific bandwidth and QoS values.For medium bandwidth demands, our results show that legacy PONs can be upgraded to 10G PON without any ODN modification. For future applications that may require access rates up to 1 Gb/s, NG-PON2 technologies with higher split ratios and increased reach become more interesting systems, offering the potential for both increased energy efficiency and node consolidation. Keywords: energy consumption, next-generation passive optical networks, split ratio INTRODUCTIONFiber-based gigabit passive optical networks (G/E PONs) are currently being deployed by operators in several countries, offering much higher bandwidths than traditional copper-based access networks. Deployments of 10 Gb/s capable PONs (XG-PON1) are expected in the next couple of years. In the long term, exponential bandwidth demand growth due to the rise of new video services (such as ultra High Definition and 3D formats) in all flavors (VoD, Peer to Peer) and the potential convergence of wireless and wireline access will necessitate the deployment of even faster next-generation PONs beyond 10 Gb/s, referred to as NG-PON2s [1]. Due to rising energy prices and the growing awareness of climate change, energy efficiency will be an important factor to take into consideration when analyzing the operational expenditures and carbon footprint of the different NG-PON2 technologies [1]. In this paper, we assess the energy efficiency of G/E PON, 10G PON and four NG-PON2 candidates. Our analysis focuses on the power consumption at the Central Offices (COs) of the network provider. For a general analysis of power saving strategies in home networks and in a PON Optical Network Unit (ONU), we refer to [2], where energy efficiency improvement options in hardware design and virtualization are discussed.In this work, we analyze how energy efficiency at the CO is affected by the chosen network deployment and by user demand. We consider a deployment scenario in a major European city to get a more realistic estimation than a purely component-based analysis, taking into account the implications of technology-dependent physical reach over a target ar...

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Access services availability and traffic forecast in PON deployment

Cited by 16 publications

References 5 publications

Provisioning 1 Gb/s symmetrical services with next-generation passive optical network technologies

Provisioning 1 Gb/s symmetrical services with next-generation passive optical network technologies

Energy efficiency analysis of high speed triple-play services in next-generation PON deployments

Energy efficiency analysis of next-generation passive optical network (NG-PON) technologies in a major city network

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