Branch-and-cut-and-price algorithm for the constrained-routing and spectrum assignment problem

The Constrained-Routing and Spectrum Assignment (C-RSA) problem arises in the design of 5 G telecommunication optical networks. Given an undirected, loopless, and connected graph G , an optical spectrum of available contiguous frequency slots S , and a set of traffic demands K , the C-RSA consists o...

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Published inJournal of combinatorial optimization Vol. 47; no. 4; p. 56
Main Authors Diarrassouba, Ibrahima, Hadhbi, Youssouf, Mahjoub, A. Ridha
Format Journal Article
LanguageEnglish
Published New York Springer US 01.05.2024
Springer Nature B.V
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ISSN1382-6905
1573-2886
DOI10.1007/s10878-024-01125-x

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Abstract The Constrained-Routing and Spectrum Assignment (C-RSA) problem arises in the design of 5 G telecommunication optical networks. Given an undirected, loopless, and connected graph G , an optical spectrum of available contiguous frequency slots S , and a set of traffic demands K , the C-RSA consists of assigning, to each traffic demand k ∈ K , a path in G between its origin and destination, and a subset of contiguous frequency slots in S subject to certain technological constraints while optimizing some linear objective function. In this paper, we devise an exact algorithm to solve the C-RSA. We first introduce an extended integer programming formulation for the problem. Then we investigate the associated polytope and introduce several classes of valid inequalities. Based on these results, we devise a Branch-and-Cut-and-Price algorithm for the problem and present an extensive computational study. This is also be compared with a Branch-and-Cut algorithm of the state-of-the-art.
AbstractList The Constrained-Routing and Spectrum Assignment (C-RSA) problem arises in the design of 5G telecommunication optical networks. Given an undirected, loopless, and connected graph G, an optical spectrum of available contiguous frequency slots S, and a set of traffic demands K, the C-RSA consists of assigning, to each traffic demand k∈K, a path in G between its origin and destination, and a subset of contiguous frequency slots in S subject to certain technological constraints while optimizing some linear objective function. In this paper, we devise an exact algorithm to solve the C-RSA. We first introduce an extended integer programming formulation for the problem. Then we investigate the associated polytope and introduce several classes of valid inequalities. Based on these results, we devise a Branch-and-Cut-and-Price algorithm for the problem and present an extensive computational study. This is also be compared with a Branch-and-Cut algorithm of the state-of-the-art.
The Constrained-Routing and Spectrum Assignment (C-RSA) problem arises in the design of 5 G telecommunication optical networks. Given an undirected, loopless, and connected graph G , an optical spectrum of available contiguous frequency slots S , and a set of traffic demands K , the C-RSA consists of assigning, to each traffic demand k ∈ K , a path in G between its origin and destination, and a subset of contiguous frequency slots in S subject to certain technological constraints while optimizing some linear objective function. In this paper, we devise an exact algorithm to solve the C-RSA. We first introduce an extended integer programming formulation for the problem. Then we investigate the associated polytope and introduce several classes of valid inequalities. Based on these results, we devise a Branch-and-Cut-and-Price algorithm for the problem and present an extensive computational study. This is also be compared with a Branch-and-Cut algorithm of the state-of-the-art.
ArticleNumber 56
Author Diarrassouba, Ibrahima
Hadhbi, Youssouf
Mahjoub, A. Ridha
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Snippet The Constrained-Routing and Spectrum Assignment (C-RSA) problem arises in the design of 5 G telecommunication optical networks. Given an undirected, loopless,...
The Constrained-Routing and Spectrum Assignment (C-RSA) problem arises in the design of 5G telecommunication optical networks. Given an undirected, loopless,...
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SubjectTerms Algorithms
Artificial intelligence
Combinatorics
Constraints
Convex and Discrete Geometry
Heuristic
Integer programming
Linear programming
Mathematical Modeling and Industrial Mathematics
Mathematics
Mathematics and Statistics
Operations Research/Decision Theory
Optimization
S.I. : New Challenges in Combinatorial Optimization
Theory of Computation
Wave division multiplexing
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Title Branch-and-cut-and-price algorithm for the constrained-routing and spectrum assignment problem
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