Energy and spectral efficiency trade-off in OCDMA-PON assisted by non-linear programming methods
Two important metrics for performance evaluation in optical code division multiple access networks (OCDMA) are energy efficiency (EE) and spectral efficiency (SE). Both metrics are investigated in this work through the bi-objective optimization approach by analyzing the trade-off between SE and EE....
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| Veröffentlicht in: | Computer networks (Amsterdam, Netherlands : 1999) Jg. 189; S. 107920 |
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| Sprache: | Englisch |
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Amsterdam
Elsevier B.V
22.04.2021
Elsevier Sequoia S.A |
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| ISSN: | 1389-1286, 1872-7069 |
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| Abstract | Two important metrics for performance evaluation in optical code division multiple access networks (OCDMA) are energy efficiency (EE) and spectral efficiency (SE). Both metrics are investigated in this work through the bi-objective optimization approach by analyzing the trade-off between SE and EE. We first formulate the SE–EE optimization as a bi-objective optimization (BOO) problem with minimum rate requirement constraints. Then, considering the non-convexity of the BOO problem, it is converted into a single-objective optimization (SOO) problem by utilizing weighted sum method. Nonlinear programming methods as sequential quadratic programming method (SQP) and majoration–minimization (MaMi) are applied to solve the BOO problem, with QoS guarantees for the OCDMA networks. Resource efficiency (RE) is able to explore the trade-off between EE and SE in OCDMA networks. The optimization methods were applied and their performance-complexity trade-offs are compared with the exhaustive search (ES) method. Numerical results were performed considering practical and realistic scenarios, including a wide range of nodes, while the solutions obtained by the methods are represented in the Pareto front. |
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| AbstractList | Two important metrics for performance evaluation in optical code division multiple access networks (OCDMA) are energy efficiency (EE) and spectral efficiency (SE). Both metrics are investigated in this work through the bi-objective optimization approach by analyzing the trade-off between SE and EE. We first formulate the SE–EE optimization as a bi-objective optimization (BOO) problem with minimum rate requirement constraints. Then, considering the non-convexity of the BOO problem, it is converted into a single-objective optimization (SOO) problem by utilizing weighted sum method. Nonlinear programming methods as sequential quadratic programming method (SQP) and majoration–minimization (MaMi) are applied to solve the BOO problem, with QoS guarantees for the OCDMA networks. Resource efficiency (RE) is able to explore the trade-off between EE and SE in OCDMA networks. The optimization methods were applied and their performance-complexity trade-offs are compared with the exhaustive search (ES) method. Numerical results were performed considering practical and realistic scenarios, including a wide range of nodes, while the solutions obtained by the methods are represented in the Pareto front. |
| ArticleNumber | 107920 |
| Author | Pendeza Martinez, Cristiane A. Abrão, Taufik Martinez, André Luís Machado |
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| Keywords | Weighted sum method (WS) Sequential quadratic programming (SQP) Spectral efficiency (SE) Resource efficiency (RE) OCDMA networks Majoration–minimization (maMi) Exhaustive search (ES) Bi-objective optimization (BOO) |
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| SubjectTerms | Bi-objective optimization (BOO) Code Division Multiple Access Convexity Efficiency Energy Energy conversion efficiency Energy efficiency Exhaustive search (ES) Linear programming Majoration–minimization (maMi) Minimization Networks Nonlinear programming Objectives OCDMA networks Optimization Performance evaluation Quadratic programming Quality of service architectures Resource efficiency (RE) Sequential quadratic programming (SQP) Spectral efficiency (SE) Tradeoffs Weighted sum method (WS) |
| Title | Energy and spectral efficiency trade-off in OCDMA-PON assisted by non-linear programming methods |
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