Power allocation scheme for mitigation of fiber temperature fluctuations in OCDMA networks based on firefly algorithm

Cavali, Thiago; Durand, Fábio Renan; Scalassara, Paulo Rogério; Abrão, Taufik

doi:10.1016/j.osn.2018.05.002

Cited by 3 publications

(6 citation statements)

References 28 publications

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“…where the equilibrium points of the network correspond to the values of v(t) that minimise the energy function of the network; W is the weight matrix; ι b is the input vector associated with the power function of the network (9). From (9), we obtain the expression for its temporal drift, i.e.…”

Section: Hopfield Neural Network (H-nn)mentioning

confidence: 99%

“…Herein, the analytical solutions are explored through continuous optimization methods, namely sequential quadratic programming (SQP) and augmented Lagrangian method (ALM). It is worth noting that in the literature, the optimization approach commonly applied to solve power assignment problems in optical networks has been heuristic methods, for instance [27], [40].…”

Section: Introductionmentioning

confidence: 99%

“…Works such as [7,8] for the CDMA network and [9] for the OCDMA network use an analytical and interactive approach, namely the Verhuslt population model to obtain a new distributed power control (PC) algorithm. The Verhuslt model has demonstrated the high speed of convergence, quality of solutions (proximity of optimal value after convergence), robustness to estimation errors, among others such as positive aspects for implementation.…”

Section: Introductionmentioning

confidence: 99%

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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: Hopfield Neural Network (H-nn)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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“…They create time skew and dispersion in multiwavelength pulses and, in turn, destroy the integrities of autocorrection and cross-correlation functions seen at FO-CDMA receivers. Software and hardware approaches have been proposed to mitigate this kind of physical (temperature-induced) impairments [10]- [14].…”

Section: Introductionmentioning

confidence: 99%

“…In the software approach, the mitigation is performed in the data-link layer with power allocation schemes based on computational optimization algorithms [13], [14]. The power-allocation protocols were shown to be efficient and provide good performance-complexity trade-offs.…”

Section: Introductionmentioning

confidence: 99%

On The Performance of The Effects of Temperature Variation in Ultrafast Incoherent Fiber-Optic CDMA Systems With SOA-Based Tunable Dispersion Compensator

et al. 2019

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Recent studies show that temperature variation in ultrafast incoherent fiberoptic code-division multiple-access (FO-CDMA) systems using picosecond multiwavelength codes is a realistic problem even though dispersion-compensating fiber is utilized. The phenomenon creates distortions in auto-and cross-correlation functions and then worsens system performance. A physical-layer mitigation approach has been reported by using a recently demonstrated semiconductor-optical-amplifier-based tunable dispersion compensator to fully recover the auto-correlation peaks. Applying the concept of "chip granularity" to account for the effects of temperature variation to the cross-correlation functions, this paper formulates a new performance-analytical model for such FO-CDMA systems. The model also supports adjustable quality-of-services through code weight control.

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Lotka-Volterra distributed power control model for OCDMA systems

Martinez

Abrão

2021

AEU - International Journal of Electronics and Communications

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Power allocation scheme for mitigation of fiber temperature fluctuations in OCDMA networks based on firefly algorithm

Cited by 3 publications

References 28 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

On The Performance of The Effects of Temperature Variation in Ultrafast Incoherent Fiber-Optic CDMA Systems With SOA-Based Tunable Dispersion Compensator

Lotka-Volterra distributed power control model for OCDMA systems

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