Routing and Spectrum Assignment in Elastic Filterless Optical Networks

Archambault, Émile; Alloune, Nabih; Furdek, Marija; Xu, Zhenyu; Tremblay, Christine; Muhammad, Ajmal; Chen, Jiajia; Wosinska, Lena; Littlewood, Paul; Bélanger, Michel

doi:10.1109/tnet.2016.2528242

Cited by 56 publications

(41 citation statements)

References 22 publications

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“…Some of the proposed solutions consider the optical fiber as an ideal channel and do not consider the QoS requirements in their optimization analysis [4]- [6]. This is an oversimplification of the real world issues and does not yield optimized practical results.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation for Elastic Optical Networks Using Geometric Optimization

Hadi

Pakravan

2017

J. Opt. Commun. Netw.

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Abstract-Resource allocation with quality of service constraints is one of the most challenging problems in elastic optical networks which is normally formulated as a mixed-integer nonlinear optimization program. In this paper, we focus on novel properties of geometric optimization and provide a heuristic approach for resource allocation which is very faster than its mixed-integer nonlinear counterpart. Our heuristic consists of two main parts for routing/traffic ordering and power/spectrum assignment. It aims at minimization of transmitted optical power and spectrum usage constrained to quality of service and physical requirements. We consider three routing/traffic ordering procedures and compare them in terms of total transmitted optical power, total received noise power and total nonlinear interference including self-and cross-channel interferences. We propose a posynomial expression for optical signal to noise ratio in which fiber nonlinearities and spontaneous emission noise have been addressed. We also propose posynomial expressions that relate modulation spectral efficiency to its corresponding minimum required optical signal to noise ratio. We then use the posynomial expressions to develop six geometric formulations for power/spectrum assignment part of the heuristic which are different in run time, complexity and accuracy. Simulation results demonstrate that the proposed solution has a very good accuracy and much lower computational complexity in comparison with mixed-integer nonlinear formulation. As example for European Cost239 optical network with 46 transmit transponders, the geometric formulations can be more than 59 times faster than its mixed-integer nonlinear counterpart. Numerical results also reveal that in long-haul elastic optical networks, considering the product of the number of common fiber spans and the transmission bit rate is a better goal function for routing/traffic ordering sub-problem.

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Section: Introductionmentioning

confidence: 99%

Resource Allocation for Elastic Optical Networks Using Geometric Optimization

Hadi

Pakravan

2017

J. Opt. Commun. Netw.

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“…The random traffic matrix comprises randomly generated traffic demands of up to 400 Gbit/s per node pair. The ILP formulation used to obtain solutions for the passive filterless network, and the detailed results can be found in [14]. Results for the conventional ROADM-based network were obtained by modifying the ILP formulation presented in Section IV.B so as to drop the signal broadcast and drop-and-continue transmission.…”

Section: Numerical Resultsmentioning

confidence: 99%

Section: Numerical Resultsmentioning

confidence: 99%

“…3 b) and a realistic traffic matrix from [14] with a total traffic load of 5.4 Tbit/s. Due to scalability issues, the results for the passive filterless architecture were obtained using an evolutionary heuristic from [14]. The maximum FSU used in the white box-based filterless case is 26, while for the passive filterless and conventional ROADM case it takes the values of 50 and 20, respectively, indicating a 48% savings in spectrum usage compared to the passive solution.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…The RSA problem with the objective of minimizing spectrum usage in passive filterless networks (unprotected design) was further studied in [14]. Therein, ILP-based and heuristic approaches were proposed for larger network instances, obtaining between 35% and 56% lower spectrum usage than when fixed grid is deployed.…”

Section: State Of the Art A Passive Filterless Networkingmentioning

confidence: 99%

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