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
Hauptverfasser: Pendeza Martinez, Cristiane A., Abrão, Taufik, Martinez, André Luís Machado
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier B.V 22.04.2021
Elsevier Sequoia S.A
Schlagworte:
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)
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)
ISSN:1389-1286, 1872-7069
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
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ISSN:1389-1286
1872-7069
DOI:10.1016/j.comnet.2021.107920