Mode conversion-based crosstalk-aware routing, spectrum and mode assignment in space-division multiplexing elastic optical networks

Cao, Yuan; Zhao, Yongli; Yu, Xiaosong; Ou, Qinghai; Li, Zhu; Liao, Xiao; Zhang, Jie

doi:10.1109/icocn.2017.8121478

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…The LC support is defined as the ability to realize spatial conversion that for SMFBs and MCFs implies to switch the channel transmission from one fiber/core to another, respectively. In contrast, for FMFs this capacity requires mode conversion [46], while for FM-MCFs both types of spatial conversion are possible: mode conversion and/or core switching.…”

Section: A Sdm-roadm Architectures For Fm-mcfsmentioning

confidence: 99%

Design and Assessment of FM-MCFs-Suited SDM-ROADMs With Versatile Spatial Group Configurations and Unified QoT Estimator

Rumipamba-Zambrano¹,

Muñoz

Casellas

et al. 2020

J. Lightwave Technol.

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In this paper, we focus on the design of different node architectures suitable for Few-Mode Multi-Core Fibers (FM-MCFs) based networks. Both dimensions, core and mode, open different possible ways to group spatial channels depending on the physical impairments of the Space-Division Multiplexed (SDM) optical fibers. Moreover, the channel switching across a group of cores/modes at once and the end-to-end routing are not only mandatory aspects for certain spatial channels, but also recommendable in order to reduce the node complexity/cost. Thus, we propose various SDM-capable node architectures based on versatile and homogeneous spatial group configurations. Then, a unified physical-layer-aware Quality of Transmission (QoT) estimator is formulated to not only evaluate these node architectures in a simulation tool, but also validate them in a real experimental environment using a stateful Path Computation Element (PCE) as a central controller. The obtained resultsdisclose that the cost-efficient node design parameter, namely, the size of the spatial group , depends on both the network and traffic profile size. Specifically, for a national optical backbone network equipped with a homogeneous and hexagonally arranged 6-weakly-coupled modes and 7-weakly-coupled cores fibers, equals 6, while for a continental backbone network, can raise up to 14. In any case, we demonstrate that the cost-benefit tradeoff in node design must be analyzed in detail in order to meet the huge traffic volumes of the next years.

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Section: A Sdm-roadm Architectures For Fm-mcfsmentioning

confidence: 99%

Design and Assessment of FM-MCFs-Suited SDM-ROADMs With Versatile Spatial Group Configurations and Unified QoT Estimator

Rumipamba-Zambrano¹,

Muñoz

Casellas

et al. 2020

J. Lightwave Technol.

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“…The conversion efficiency (CE) of 99% was realised at 1553 nm wavelength. Inter-modal crosstalk on system capacity performance can be enhanced using dynamic routing, spectrum and mode assignment (MC-CA-RSMA) algorithm over SDM-EONs [24]. Here the converter was not only implemented and positioned at each node for flexibility in the conversion but is capable of converting up to twelve spatial modes.…”

Section: Mode Conversion In Mdm Systemmentioning

confidence: 99%

Recent progress in optical devices for mode division multiplex transmission system

Sabitu¹,

Khan²,

Malekmohammadi³

2019

Opto-Electronics Review

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The idea of adopting the space domain as the next frontier for optical communication has received increasing attention in the last few years. Optical devices are the integral parts of a mode division multiplexing (MDM) transmission. Therefore, conducting an intensive study on the devices is paramount to the successful realization of the overall system. This paper presents a review of the recent advances in the inline components of an MDM system, consisting of mode converters, spatial (de) multiplexers, optical amplifiers, and few-mode fibers (FMFs). Also presented are different mode conversion and multiplexing schemes. Recent techniques of minimizing differential mode gain (DMG) in the optical amplifiers are also reviewed. The review covers other types of amplification schemes and their current standing in the MDM system. These include optical semiconductor amplifiers (OSAs), and the Raman amplifiers (RAs). Finally, the review also highlights the role of FMF, multicore fiber and their relationship with fan-in/fan-out devices.

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“…Crosstalk issues for EON (elastic optical networks) were discussed, and corresponding solutions were proposed in [340]. The crosstalk-aware routing spectrum and core assignment (CA-RSCA) algorithms for space-division multiplexing (SDM-EONs) were presented in [341].…”

mentioning

confidence: 99%

Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey

et al. 2021

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Fifth-generation (5G) technology will play a vital role in future wireless networks. The breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where billions of connected devices, people, and processes will be simultaneously served. The services provided by 5G include several use cases enabled by the enhanced mobile broadband, massive machine-type communications, and ultra-reliable low-latency communication. Fifth-generation networks potentially merge multiple networks on a single platform, providing a landscape for seamless connectivity, particularly for high-mobility devices. With their enhanced speed, 5G networks are prone to various research challenges. In this context, we provide a comprehensive survey on 5G technologies that emphasize machine learning-based solutions to cope with existing and future challenges. First, we discuss 5G network architecture and outline the key performance indicators compared to the previous and upcoming network generations. Second, we discuss next-generation wireless networks and their characteristics, applications, and use cases for fast connectivity to billions of devices. Then, we confer physical layer services, functions, and issues that decrease the signal quality. We also present studies on 5G network technologies, 5G propelling trends, and architectures that help to achieve the goals of 5G. Moreover, we discuss signaling techniques for 5G massive multiple-input and multiple-output and beam-forming techniques to enhance data rates with efficient spectrum sharing. Further, we review security and privacy concerns in 5G and standard bodies’ actionable recommendations for policy makers. Finally, we also discuss emerging challenges and future directions.

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Mode conversion-based crosstalk-aware routing, spectrum and mode assignment in space-division multiplexing elastic optical networks

Cited by 4 publications

References 5 publications

Design and Assessment of FM-MCFs-Suited SDM-ROADMs With Versatile Spatial Group Configurations and Unified QoT Estimator

Design and Assessment of FM-MCFs-Suited SDM-ROADMs With Versatile Spatial Group Configurations and Unified QoT Estimator

Recent progress in optical devices for mode division multiplex transmission system

Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey

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