A Novel RSCA Scheme for Offline Survivable SDM-EON With Advance Reservation

Halder, Joy; Acharya, Tamaghna; Bhattacharya, Uma

doi:10.1109/tnsm.2022.3142857

Cited by 6 publications

(2 citation statements)

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“…In [35], three algorithms have been developed to solve the RCSA problem in dynamic SDM-EONs. The MILP model and two heuristic algorithms based on the greedy approach and SA for offline survivable SDM-EONs have been proposed in [36] to ensure network survivability against a single link failure. All the above studies performed well but did not consider MFs when solving the RSA and RCSA problems.…”

Section: Related Workmentioning

confidence: 99%

“…EONs RSA RMSA ILP: [19,20,40,41,[43][44][45]] Intelligent Optimization Algorithms: [21][22][23][24][25]42] Heuristic Algorithms: [26,27,37,41] Machine Learning: [29,30] SDM-EONs RCSA RMCSA ILP: [32,36], Intelligent Optimization Algorithms: [35,36,46,47] Heuristic Algorithms: [31,33,39,46,47] Machine Learning: [38] SCNs RSWA RSCSA Heuristic Algorithms: [48] ILP and Heuristic Algorithms: [49] These aforementioned studies provide us with ideas to solve the network resource allocation problem in SCNs. We defined the network resource allocation problem in static SCNs as the routing, modulation format, spatial lane, and spectrum block assignment (RMSSA) problem.…”

Section: Network Resource Allocation Problem Solutionsmentioning

confidence: 99%

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Routing, Modulation Format, Spatial Lane, and Spectrum Block Assignment in Static Spatial Channel Networks

2023

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Spatial channel networks (SCNs) and related key technologies have been proposed to increase the capacity and flexibility of optical networks. We define the network resource allocation problem in a static SCN as the routing, modulation format (MF), spatial lane, and spectrum block assignment (RMSSA) problem and try to solve it. In this paper, we derive the relationship between the traffic bit rate, the transmission distance of optical channels, and MFs in SCNs, and obtain the adoption method of MFs. In addition, we introduce conversion nodes (CNs) into SCNs to perform a modulation format conversion (MFC) for more efficient use of network resources. Moreover, the RMSSA problem in static SCNs is modeled, and heuristic spatial lane and spectrum block minimization based on simulated annealing (LBMSA) algorithm is proposed to solve the RMSSA problem. Simulation results show that when the throughput of SCNs is small, the LBMSA algorithm can carry traffic requests with the least amount of network resources and maximize the network resource utilization. When the network throughput is high, the LBMSA algorithm is more inclined to carry all requests rather than efficient transmission. We also show that network resource utilization can be improved with the LBMSA algorithm by setting CNs to perform the MFC.

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Section: Related Workmentioning

confidence: 99%