Time-delay and estimation uncertainty impact on the heuristic-based power control of optical networks

Durand, Fábio Renan; Abrão, Taufik

doi:10.1007/s11082-015-0319-7

Cited by 3 publications

(2 citation statements)

References 34 publications

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“…The quality of the solution reached by the power allocation algorithms in an iteration can be measured by the degree of proximity to the optimal solution p * , being quantified through the NMSE when the equilibrium is reached. The quality of the solution achieved by an specific algorithm in solving problem (3) at the nth iteration is simply defined by [32]…”

Section: Normalised Mean Squared Error (Nmse)mentioning

confidence: 99%

Hopfield learning‐based and non‐linear programming methods for resource allocation in OCDMA networks

et al. 2020

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This paper proposes the deployment of the Hopfield's artificial neural network (H-NN) approach to optimally assign power in optical code division multiple access (OCDMA) systems. Figures of merit such as feasibility of solutions and complexity are compared with the classical power allocation methods found in the literature, such as Sequential Quadratic Programming (SQP) and Augmented Lagrangian Method (ALM). The analyzed methods are used to solve constrained nonlinear optimization problems in the context of resource allocation for optical networks, specially to deal with the energy efficiency (EE) in OCDMA networks. The promising performance-complexity tradeoff of the modified H-NN is demonstrated through numerical results performed in comparison with classic methods for general problems in nonlinear programming. The evaluation is carried out considering challenging OCDMA networks in which different levels of QoS were considered for large numbers of optical users.

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Section: Normalised Mean Squared Error (Nmse)mentioning

confidence: 99%

Hopfield learning‐based and non‐linear programming methods for resource allocation in OCDMA networks

et al. 2020

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“…The continuous growth of numerous high-rate various applications, such as internet protocol television, video on demand, cloud computing, require an efficient networking infrastructure (Pajčin et al 2016;Tomkos et al 2012). The recent elastic optical networks can provide the flexible and variable bandwidth allocation to each connection request and get higher spectrum utilization by using the technology of orthogonal frequency division multiplexing (Archambault et al 2016;Ding et al 2014;Durand and Abrão 2015). Orthogonal frequency division multiplexing is a multi-carrier modulation technology.…”

Section: Introductionmentioning

confidence: 99%

New bi-level programming model for routing and spectrum assignment in elastic optical network

Xuan

Wang

et al. 2017

Opt Quant Electron

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The routing and spectrum assignment problems in elastic optical networks are well-known NP-hard problem, and are even more complex and challenging when the energy consumption is taken into account. To tackle this challenging problem, we establish a bi-level programming model with the energy consumption of the optical networks and the maximum index of used frequency slots as the leader's and follower's objectives to be minimized, respectively, which are used to determine the optimal schemes of routing and spectrum assignments. To solve the model effectively, a hybrid genetic algorithm framework integrating a heuristic algorithm into a genetic algorithm is proposed. We use heuristic algorithm to sort the connection requests and design a genetic algorithm with tailor-made crossover, mutation and local search operator to look for an optimal routing and spectrum assignment scheme. Finally, simulation experiments are conducted, and the experimental results indicate the effectiveness of the proposed model and algorithms.

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Usage of task and data parallelism for finding the lower boundary vectors in a stochastic-flow network

Forghani-elahabad

Francesquini

2023

Reliability Engineering & System Safety

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Time-delay and estimation uncertainty impact on the heuristic-based power control of optical networks

Cited by 3 publications

References 34 publications

Hopfield learning‐based and non‐linear programming methods for resource allocation in OCDMA networks

Hopfield learning‐based and non‐linear programming methods for resource allocation in OCDMA networks

New bi-level programming model for routing and spectrum assignment in elastic optical network

Usage of task and data parallelism for finding the lower boundary vectors in a stochastic-flow network

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