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Network Modeling and Performance Evaluation for G.fast

Statovci, Driton ; Odling, Per LU ; Zhang, Chao LU orcid and Mecklenbrauker, Christoph (2021) In IEEE Access 9. p.164026-164036
Abstract

G.fast is a gap-bridging broadband technology on the way to a fully optical access network. G.fast is deployed in hybrid fiber-copper access networks and aiming to offer ubiquitous low-cost and high-speed broadband. For network operators, it is crucial to determine the location from where to deploy G.fast, the expected network coverage, and the expected bit rates. In this paper, we perform network modeling and statistically assess the performance of G.fast based on actual network data in four geotype classes: urban, suburban, dense rural, and sparse rural. For each class, we have collected the network data in the field with a substantial number of twisted-pair lines in Austria. Statistical analysis of loop lengths indicates that to... (More)

G.fast is a gap-bridging broadband technology on the way to a fully optical access network. G.fast is deployed in hybrid fiber-copper access networks and aiming to offer ubiquitous low-cost and high-speed broadband. For network operators, it is crucial to determine the location from where to deploy G.fast, the expected network coverage, and the expected bit rates. In this paper, we perform network modeling and statistically assess the performance of G.fast based on actual network data in four geotype classes: urban, suburban, dense rural, and sparse rural. For each class, we have collected the network data in the field with a substantial number of twisted-pair lines in Austria. Statistical analysis of loop lengths indicates that to improve the network coverage, the G.fast should be deployed in urban and suburban areas from the so-called remote node, whereas in rural areas from the last distribution point. Under such a deployment rule, the analysis by means of empirical complementary cumulative distribution functions shows a good network coverage for all network classes. Furthermore, the simulation results indicate a significant influence of cable types. Consequently, for the benefit of the cable community, we share measurements of 695 twisted-pairs of cable types relevant for G.fast deployment commonly found in the Austrian network.

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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
broadband communication, Costs, DSL, G.fast, Hybrid fiber coaxial cables, network modeling, Optical fiber cables, Optical fiber networks, Optical fiber subscriber loops, performance analysis, Power cables, Subscriber loops
in
IEEE Access
volume
9
pages
164026 - 164036
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85120065947
ISSN
2169-3536
DOI
10.1109/ACCESS.2021.3130373
language
English
LU publication?
yes
id
d4e557a7-7069-415b-9976-4e12d9028061
date added to LUP
2021-12-14 13:46:47
date last changed
2022-04-27 06:38:45
@article{d4e557a7-7069-415b-9976-4e12d9028061,
  abstract     = {{<p>G.fast is a gap-bridging broadband technology on the way to a fully optical access network. G.fast is deployed in hybrid fiber-copper access networks and aiming to offer ubiquitous low-cost and high-speed broadband. For network operators, it is crucial to determine the location from where to deploy G.fast, the expected network coverage, and the expected bit rates. In this paper, we perform network modeling and statistically assess the performance of G.fast based on actual network data in four geotype classes: urban, suburban, dense rural, and sparse rural. For each class, we have collected the network data in the field with a substantial number of twisted-pair lines in Austria. Statistical analysis of loop lengths indicates that to improve the network coverage, the G.fast should be deployed in urban and suburban areas from the so-called remote node, whereas in rural areas from the last distribution point. Under such a deployment rule, the analysis by means of empirical complementary cumulative distribution functions shows a good network coverage for all network classes. Furthermore, the simulation results indicate a significant influence of cable types. Consequently, for the benefit of the cable community, we share measurements of 695 twisted-pairs of cable types relevant for G.fast deployment commonly found in the Austrian network.</p>}},
  author       = {{Statovci, Driton and Odling, Per and Zhang, Chao and Mecklenbrauker, Christoph}},
  issn         = {{2169-3536}},
  keywords     = {{broadband communication; Costs; DSL; G.fast; Hybrid fiber coaxial cables; network modeling; Optical fiber cables; Optical fiber networks; Optical fiber subscriber loops; performance analysis; Power cables; Subscriber loops}},
  language     = {{eng}},
  pages        = {{164026--164036}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Access}},
  title        = {{Network Modeling and Performance Evaluation for G.fast}},
  url          = {{http://dx.doi.org/10.1109/ACCESS.2021.3130373}},
  doi          = {{10.1109/ACCESS.2021.3130373}},
  volume       = {{9}},
  year         = {{2021}},
}