Evaluation of Device Cost, Power Consumption, and Network Performance in Spatially and Spectrally Flexible SDM Optical Networks

Yang, Mingcong; Wu, Qian; Guo, Kai; Zhang, Yongbing

doi:10.1109/jlt.2019.2931143

Cited by 20 publications

(4 citation statements)

References 62 publications

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“…Resource-allocation problems in optical networks, such as RWA in WSON, RSA in EONs, and RSSA in SDM-EONs, can be divided into static (e.g., [5,) and dynamic scenarios (e.g., [21,[30][31][32][33][34][35]). In static scenarios, all connection requests are known in advance, and the objectives are usually to determine the network design required to accommodate all known connection requests or to minimize the amount of resources required for various sets of known connection requests.…”

Section: Related Workmentioning

confidence: 99%

“…In dynamic scenarios, the consideration of SLC can lead to a 7% to 14% improvement of network throughput, which was evaluated in Refs. [34,35]. In static scenarios, the savings in spectrum resources that SLC can bring (0.1% to 3.1%) are negligible compared to its equipment cost, which was addressed in Ref.…”

Section: Related Workmentioning

confidence: 99%

“…There are three switching paradigms, independent switching (In-Sw), fractional joint switching (FrJ-Sw) and joint switching (J-Sw), corresponding to the Spe SpCh, Spa SpCh, and Spe and Spa SpCh, respectively. In-Sw and FrJ-Sw can each be subdivided into two types based on whether or not they support SLC [35].…”

Section: Switching Paradigms For Different Super Channelsmentioning

confidence: 99%

See 2 more Smart Citations

Solving the Static Resource-Allocation Problem in SDM-EONs via a Node-Type ILP Model

Wang

Chen

et al. 2022

Sensors

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Space division multiplexing elastic optical networks (SDM-EONs) are one of the most promising network architectures that satisfy the rapidly growing traffic of the internet. However, different from traditional wavelength division multiplexing (WDM)-based networks, the problems of resource allocation become more complicated because SDM-EONs have smaller spectrum granularity and have to consider several novel network resources, such as modulation formats and spatial dimensions. In this work, we propose an integer linear programming (ILP) model without space lane change (SLC) that provides theoretically exact solutions for the problem of routing, modulation format, space, and spectrum assignment (RMSSA). Moreover, to more efficiently solve our model which is difficult to solve directly, we propose three exact algorithms based on model decomposition and evaluate their performance via simulation experiments, and we find that two of our exact algorithms can solve the model effectively in small-scale instances.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Switching Paradigms For Different Super Channelsmentioning

confidence: 99%

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Solving the Static Resource-Allocation Problem in SDM-EONs via a Node-Type ILP Model

Wang

Chen

et al. 2022

Sensors

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“…Of course, any suitable hybrid combination of the two types of superchannels above, a so-called spectral and spatial superchannel, as shown in Fig. 1, is also feasible for use in SDM-OTNs [20].…”

Section: Spatial Channel Networkmentioning

confidence: 99%

Multilayer Routing and Resource Assignment in Spatial Channel Networks (SCNs): Oriented Toward the Massive SDM Era

Yang,

Wu,

Shigeno

2020

Preprint

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In the past few decades, optical transport networks (OTNs) have undergone significant evolution, from the earliest wavelength-division multiplexing (WDM) OTNs to elastic optical networks (EONs) and later to space-division multiplexing (SDM) OTNs, to address the continuous growth of Internet traffic. By 2024, Pbps-level OTNs are expected, far exceeding the capacity limit of single-mode fibers. The massive SDM era is on the horizon. In this context, newly designed OTNs called spatial channel networks (SCNs), which achieve high cost efficiency by means of practical hierarchical optical cross-connects, have recently been proposed. However, the evolution of OTNs will simultaneously present challenges related to resource allocation in networking. For instance, with the evolution from WDM-OTNs to EONs, the resource allocation problem was transformed from the routing and wavelength assignment (RWA) problem to the routing and spectrum assignment (RSA) problem due to the additionally introduced constraint of spectrum contiguity. Similarly, specially designed algorithms are also expected to be essential for addressing the resource allocation problem in SCNs. In this paper, we define this new problem as the routing, spatial channel, and spectrum assignment (RSCSA) problem. We propose an integer linear programming (ILP) model and a heuristic algorithm to solve the RSCSA problem. We examine the performance of the proposed approaches via simulation experiments. The results show that both proposed approaches are effective in finding the optimal solutions or solutions close to the lower bounds. To the best of our knowledge, this is the first work to focus on the problem of resource allocation in SCNs.

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Application-aware QoS routing in SDNs using machine learning techniques

Zheng

Yang

Zhang

et al. 2021

Peer-to-Peer Netw. Appl.

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Evaluation of Device Cost, Power Consumption, and Network Performance in Spatially and Spectrally Flexible SDM Optical Networks

Cited by 20 publications

References 62 publications

Solving the Static Resource-Allocation Problem in SDM-EONs via a Node-Type ILP Model

Solving the Static Resource-Allocation Problem in SDM-EONs via a Node-Type ILP Model

Multilayer Routing and Resource Assignment in Spatial Channel Networks (SCNs): Oriented Toward the Massive SDM Era

Application-aware QoS routing in SDNs using machine learning techniques

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