Network Planning Policies for Joint Switching in Spectrally-Spatially Flexible Optical Networks

The spectrally and spatially flexible optical networks (SS-FON) are the promising solution for future optical transport networks. The joint switching (J-Sw) paradigm is one of the possible switching schemes for SS-FON that brings optical component integration alongside with acceptable networking per...

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Main Authors: Mohsen Yaghubi-Namaad, Akbar Ghaffarpour Rahbar, Behrooz Alizadeh
Format: Article
Language:English
Published: Iran Telecom Research Center 2018-12-01
Series:International Journal of Information and Communication Technology Research
Subjects:
Online Access:http://ijict.itrc.ac.ir/article-1-407-en.html
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author Mohsen Yaghubi-Namaad
Akbar Ghaffarpour Rahbar
Behrooz Alizadeh
author_facet Mohsen Yaghubi-Namaad
Akbar Ghaffarpour Rahbar
Behrooz Alizadeh
author_sort Mohsen Yaghubi-Namaad
collection DOAJ
description The spectrally and spatially flexible optical networks (SS-FON) are the promising solution for future optical transport networks. The joint switching (J-Sw) paradigm is one of the possible switching schemes for SS-FON that brings optical component integration alongside with acceptable networking performance. The network planning of J-Sw is investigated in this paper. The formulation of resource allocation for J-Sw is introduced as in integer linear programming to find the optimal solution. To find the near-optimal solution, the heuristic algorithms are initiated with sorted connection demands. The way connection demands are sorted to initiate the heuristic algorithms affects the accuracy of algorithms. Therefore, six different sorting policies are introduced for J-Sw. Moreover, the heuristic algorithm called joint switching resource allocation (JSRA) algorithm is introduced, especially for J-Sw. The heuristic algorithm performance initiated with different sorting policies is investigated through simulation for a small-size network. The optimality gap is the most important indicator that shows the effect of each sorting policy on the near-optimal solution. The new sorting policy of connection demands called descending frequency width (DFW) policy achieved the least optimality gap. Also, the JSRA performance initiated with these sorting policies is investigated for a real network topology. The obtained results indicate that DFW shows better performance than other sorting policies in realistic networks, too.
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spelling doaj.art-a3113b5bd7a34edebdbc803972572f2f2023-02-08T07:57:16ZengIran Telecom Research CenterInternational Journal of Information and Communication Technology Research2251-61072783-44252018-12-011042231Network Planning Policies for Joint Switching in Spectrally-Spatially Flexible Optical NetworksMohsen Yaghubi-Namaad0Akbar Ghaffarpour Rahbar1Behrooz Alizadeh2 Faculty of Electrical Engineering Sahand University of Technology Tabriz, Iran Faculty of Electrical Engineering Sahand University of Technology Tabriz, Iran Faculty of Applied Mathematics Sahand University of Technology Tabriz, Iran The spectrally and spatially flexible optical networks (SS-FON) are the promising solution for future optical transport networks. The joint switching (J-Sw) paradigm is one of the possible switching schemes for SS-FON that brings optical component integration alongside with acceptable networking performance. The network planning of J-Sw is investigated in this paper. The formulation of resource allocation for J-Sw is introduced as in integer linear programming to find the optimal solution. To find the near-optimal solution, the heuristic algorithms are initiated with sorted connection demands. The way connection demands are sorted to initiate the heuristic algorithms affects the accuracy of algorithms. Therefore, six different sorting policies are introduced for J-Sw. Moreover, the heuristic algorithm called joint switching resource allocation (JSRA) algorithm is introduced, especially for J-Sw. The heuristic algorithm performance initiated with different sorting policies is investigated through simulation for a small-size network. The optimality gap is the most important indicator that shows the effect of each sorting policy on the near-optimal solution. The new sorting policy of connection demands called descending frequency width (DFW) policy achieved the least optimality gap. Also, the JSRA performance initiated with these sorting policies is investigated for a real network topology. The obtained results indicate that DFW shows better performance than other sorting policies in realistic networks, too.http://ijict.itrc.ac.ir/article-1-407-en.htmloptical transport networksss-fonspace division multiplexingjoint switchingnetwork planningstatic trafficresource allocationrmlssasorting policies.
spellingShingle Mohsen Yaghubi-Namaad
Akbar Ghaffarpour Rahbar
Behrooz Alizadeh
Network Planning Policies for Joint Switching in Spectrally-Spatially Flexible Optical Networks
International Journal of Information and Communication Technology Research
optical transport networks
ss-fon
space division multiplexing
joint switching
network planning
static traffic
resource allocation
rmlssa
sorting policies.
title Network Planning Policies for Joint Switching in Spectrally-Spatially Flexible Optical Networks
title_full Network Planning Policies for Joint Switching in Spectrally-Spatially Flexible Optical Networks
title_fullStr Network Planning Policies for Joint Switching in Spectrally-Spatially Flexible Optical Networks
title_full_unstemmed Network Planning Policies for Joint Switching in Spectrally-Spatially Flexible Optical Networks
title_short Network Planning Policies for Joint Switching in Spectrally-Spatially Flexible Optical Networks
title_sort network planning policies for joint switching in spectrally spatially flexible optical networks
topic optical transport networks
ss-fon
space division multiplexing
joint switching
network planning
static traffic
resource allocation
rmlssa
sorting policies.
url http://ijict.itrc.ac.ir/article-1-407-en.html
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AT behroozalizadeh networkplanningpoliciesforjointswitchinginspectrallyspatiallyflexibleopticalnetworks