Coordinating Multiple Light-Trails in Multicast Elastic Optical Networks With Adaptive Modulation

Optical multicasting has been considered resource efficient for multicast services. Light-tree and light-trail are two technologies that support optical multicasting while the former requires many splitters and thus experiences significant power loss. In this paper, we consider using the light-trail...

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Main Authors: Anliang Cai, Yongcheng Li, Jian Chen, Jianhua Shen
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Photonics Journal
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10011575/
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author Anliang Cai
Yongcheng Li
Jian Chen
Jianhua Shen
author_facet Anliang Cai
Yongcheng Li
Jian Chen
Jianhua Shen
author_sort Anliang Cai
collection DOAJ
description Optical multicasting has been considered resource efficient for multicast services. Light-tree and light-trail are two technologies that support optical multicasting while the former requires many splitters and thus experiences significant power loss. In this paper, we consider using the light-trail technology for the accommodation of multicast requests in elastic optical networks with adaptive modulation. For better spectrum efficiency, we consider accommodating each multicast by multiple light-trails. We formulate the problem by Mixed Integer Linear Programming (MILP) and propose efficient heuristic algorithms. For the impact of accommodation sequence on the algorithm performance, apart from the traditional sequence among different requests, we consider an additional sequence among the destinations of a multicast. For efficient multicast accommodation, we propose several strategies and compare their performances through a range of cases. To avoid a destination occupying excessive resources in certain cases of joining multiple light-trails, we propose an efficient algorithm to delete some duplicated destinations. Numerical results show that the proposed heuristic algorithms significantly outperform a benchmark algorithm and one performs close to the optimal MILP. Also, the algorithm for deleting certain destination replicas largely reduces the spectrum and transmitter usages, up to 41% and 20% for the cases considered, respectively.
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spelling doaj.art-d8d9a8a7cede4960bf865c5ab1ca26cb2023-03-13T23:00:11ZengIEEEIEEE Photonics Journal1943-06552023-01-0115111510.1109/JPHOT.2022.323330410011575Coordinating Multiple Light-Trails in Multicast Elastic Optical Networks With Adaptive ModulationAnliang Cai0https://orcid.org/0000-0001-6715-9647Yongcheng Li1Jian Chen2https://orcid.org/0000-0001-5685-2139Jianhua Shen3School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, ChinaSchool of Electronic and Information Engineering, Soochow University, Suzhou, ChinaSchool of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, ChinaSchool of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, ChinaOptical multicasting has been considered resource efficient for multicast services. Light-tree and light-trail are two technologies that support optical multicasting while the former requires many splitters and thus experiences significant power loss. In this paper, we consider using the light-trail technology for the accommodation of multicast requests in elastic optical networks with adaptive modulation. For better spectrum efficiency, we consider accommodating each multicast by multiple light-trails. We formulate the problem by Mixed Integer Linear Programming (MILP) and propose efficient heuristic algorithms. For the impact of accommodation sequence on the algorithm performance, apart from the traditional sequence among different requests, we consider an additional sequence among the destinations of a multicast. For efficient multicast accommodation, we propose several strategies and compare their performances through a range of cases. To avoid a destination occupying excessive resources in certain cases of joining multiple light-trails, we propose an efficient algorithm to delete some duplicated destinations. Numerical results show that the proposed heuristic algorithms significantly outperform a benchmark algorithm and one performs close to the optimal MILP. Also, the algorithm for deleting certain destination replicas largely reduces the spectrum and transmitter usages, up to 41% and 20% for the cases considered, respectively.https://ieeexplore.ieee.org/document/10011575/Adaptive modulationelastic optical networklight-trailmulticastrouting and spectrum assignment
spellingShingle Anliang Cai
Yongcheng Li
Jian Chen
Jianhua Shen
Coordinating Multiple Light-Trails in Multicast Elastic Optical Networks With Adaptive Modulation
IEEE Photonics Journal
Adaptive modulation
elastic optical network
light-trail
multicast
routing and spectrum assignment
title Coordinating Multiple Light-Trails in Multicast Elastic Optical Networks With Adaptive Modulation
title_full Coordinating Multiple Light-Trails in Multicast Elastic Optical Networks With Adaptive Modulation
title_fullStr Coordinating Multiple Light-Trails in Multicast Elastic Optical Networks With Adaptive Modulation
title_full_unstemmed Coordinating Multiple Light-Trails in Multicast Elastic Optical Networks With Adaptive Modulation
title_short Coordinating Multiple Light-Trails in Multicast Elastic Optical Networks With Adaptive Modulation
title_sort coordinating multiple light trails in multicast elastic optical networks with adaptive modulation
topic Adaptive modulation
elastic optical network
light-trail
multicast
routing and spectrum assignment
url https://ieeexplore.ieee.org/document/10011575/
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