Physical topology optimization for highly reliable and efficient wavelength-assignable optical networks

Higashimori, Katsuaki; Inuzuka, Fumikazu; Ohara, T.

doi:10.1364/jocn.432296

Cited by 9 publications

(2 citation statements)

References 29 publications

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“…With the continuous growth of global data communication traffic, optical communication systems, as the bearers of global interconnection, are evolving in the direction of large capacity, low complexity, high flexibility, high reliability, and low cost [1][2][3][4][5][6]. To meet the application needs of optical communication systems in various scenarios, such as ultra-long-distance transmission [7], optical wireless communication [8,9], and data center interconnection (DCI) [10], a large number of cutting-edge technologies have emerged in recent years to ensure that optical transmission systems can provide high-speed, low-latency, large-capacity, and low-noise transmission services for global users.…”

Section: Introductionmentioning

confidence: 99%

Geometrically Shaped Odd-Bit QAM Constellations Suitable for Principal Component-Based Phase Estimation

Wang,

Lv,

Zhang

et al. 2024

Photonics

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For high-speed optical communication systems, laser phase noise (LPN) stands as a pivotal factor influencing the quality of the received signal. Therefore, the employment of a highly accurate carrier phase recovery (CPR) algorithm at the receiving end is indispensable to ensure the reliability of transmission. While a CPR algorithm called principal component-based phase estimation (PCPE) has been proven to be capable of achieving low-complexity and high-performance phase recovery for even-bit quadrature amplitude modulation (QAM) (i.e., square QAM) signals, it is not compatible with traditional cross-shaped odd-bit QAM signals. To circumvent this problem, a signal constellation design scheme based on geometric shaping (GS) is proposed. The pair-wise optimization (PO) algorithm is used to optimize the constellation structure of 32QAM and 128QAM signals in order to obtain results that are compatible with the PCPE algorithm. Monte Carlo simulation results reveal that for odd-bit QAM signals utilizing PCPE for phase recovery, the proposed GS constellations enhance the mutual information (MI) performance across the entire measured signal-to-noise (SNR) range. Moreover, compared with regular 32QAM and 128QAM constellations using the well-known blind phase search (BPS) algorithm, the proposed GS and PCPE scheme can achieve SNR gains of 1.10 dB and 2.59 dB, respectively, when considering the 20% soft-decision forward error correction (SD-FEC) overhead. Verification through commercial simulation software corroborates these findings, demonstrating that the proposed GS constellations are particularly suitable for the PCPE algorithm, especially under conditions of high optical signal-to-noise ratio (OSNR). To the best of our knowledge, this is the first time that the incompatibility between the PCPE algorithm and odd-bit QAM signals has been investigated, and the proposed GS scheme has broadened the application scope of the low-complexity CPR algorithm.

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Section: Introductionmentioning

confidence: 99%

Geometrically Shaped Odd-Bit QAM Constellations Suitable for Principal Component-Based Phase Estimation

Wang,

Lv,

Zhang

et al. 2024

Photonics

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“…In addition, most of the previous topology design methods considered both the network costs and performance by analysing small-scale networks (e.g. 6-node [9], 10-node [7,16], 14-node [8]). However, the size of both core and access optical networks can reach more than 100-nodes (e.g.…”

Section: Introductionmentioning

confidence: 99%

Exploring the relationship among traffic, topology, and throughput: towards a traffic-optimal optical network topology design

Luo¹,

Matzner²,

Ottino³

et al. 2023

J. Opt. Commun. Netw.

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The design of optical networks for maximum throughput under diverse traffic demands is a long-standing NP-hard problem. In this paper, by parameterizing the relationship between the network topology and traffic demand, a polynomial-time objective function, the demand weighted cost (DWC), is introduced and evaluated for different scale networks and diverse traffic scenarios. It is shown that the proposed DWC is highly correlated to network throughput, while speeding up the topology evaluation process by some five to six orders of magnitude. The DWC was then applied as the optimization target with three different topology optimization algorithms (DWC-selection, genetic algorithm, and our hierarchical topology design), achieving 90% and 460% throughput increases, on average, for small-scale (14-node) and large-scale (100-node) topology designs, respectively. The proposed methods have the potential of maximizing throughput in the design of future optical network topologies.

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Design of CapEx and OpEx aware IP-over-WDM network using different types of traffic bypass and grooming techniques

Dey,

Gupta,

Adhya

2023

Optical Fiber Technology

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Physical topology optimization for highly reliable and efficient wavelength-assignable optical networks

Cited by 9 publications

References 29 publications

Geometrically Shaped Odd-Bit QAM Constellations Suitable for Principal Component-Based Phase Estimation

Geometrically Shaped Odd-Bit QAM Constellations Suitable for Principal Component-Based Phase Estimation

Exploring the relationship among traffic, topology, and throughput: towards a traffic-optimal optical network topology design

Design of CapEx and OpEx aware IP-over-WDM network using different types of traffic bypass and grooming techniques

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