ISRS impact-reduced routing, modulation, band, and spectrum allocation algorithm in C + L-bands elastic optical networks

Shen, Lingfei; Feng, Nan; Liu, Yunxuan; Yan, Dan; Lv, Jingjing; Hu, Jinhua; Ren, Danping; Zhao, Jijun

doi:10.1016/j.yofte.2023.103640

Cited by 3 publications

(2 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The findings reveal that OSNR can serve as a primary QoT parameter for accurate assessment. Then, Shen et al [19] address the physical layer impairment issue in multi-band elastic optical networks from the perspectives of routing selection and spectrum allocation, proposing a resource allocation algorithm for impairment reduction. The results demonstrate that, compared to other studies, this work effectively alleviates the impact of physical layer impairments on signal transmission quality.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Fragmentation and ISRS-Aware Survivable Routing, Band, Modulation, and Spectrum Allocation Algorithm in Multi-Band Elastic Optical Networks

Liu,

Feng,

Shen

et al. 2024

Applied Sciences

Self Cite

View full text Add to dashboard Cite

The C+L band elastic optical networks (C+L-EONs) increase the network capacity significantly. However, the introduction of an L band enhances the inter-channel stimulated Raman scattering effect (ISRS), consequently deteriorating the quality of transmission (QoT) of the signal. Furthermore, spectrum allocation leads to spectrum fragmentation inevitably, which escalates the bandwidth blocking rate. In addition, in C+L-EONs, a single fiber carries more services, and once one of the links fails, a huge number of requests will be interrupted, resulting in huge economic losses. Therefore, this paper proposes a survivability routing, band, modulation, and spectrum allocation (RBMSA) algorithm that effectively guarantees service survivability and reduces the impact of ISRS and spectrum fragmentation. The algorithm employs shared backup path protection and a band partitioning method, whereby the spectrum resource of the primary path is assigned in the L band and the backup path is assigned in the C band in order to minimize the impact of ISRS on the QoT of the request while ensuring the survivability of the network. Furthermore, a fragmentation metric accounting for both the free and shared spectrum resource is proposed to mitigate both free and shared spectrum fragmentation. The simulation results reveal that the proposed RBMSA algorithm reduces the bandwidth blocking probability (BBP) and the fragmentation rate (FR) by 47.7% and 21.3%, respectively, and improves the optical signal-to-noise ratio (OSNR) by 4.17 dB in NSFNET. In COST239, the BBP, FR, and OSNR are 22.1%, 21.5%, and 4.71 dB, respectively.

show abstract

Section: Related Workmentioning

confidence: 99%

“…Gb denotes the guarded bandwidth between the neighbor lightpaths. The correlation between modulation format and transmission distance are summarized in paper [19].…”

Section: Modulation Format Selectionmentioning

confidence: 99%

Fragmentation and ISRS-Aware Survivable Routing, Band, Modulation, and Spectrum Allocation Algorithm in Multi-Band Elastic Optical Networks

Liu,

Feng,

Shen

et al. 2024

Applied Sciences

Self Cite

View full text Add to dashboard Cite

show abstract

Analysis of the impact of different node and link architectures on the performance of multiband elastic optical networks

do Nascimento Arcanjo,

Sarmento,

Pereira

2024

Optical Fiber Technology

View full text Add to dashboard Cite

Terahertz sensing through the lens of the Kalman filter: a bibliometric exploration

Obaideen,

AlShabi,

Bonny

2024

Sensing for Agriculture and Food Quality and Safety XVI

View full text Add to dashboard Cite

The Terahertz (THz) spectrum, situated between microwave and infrared frequencies, is utilized for applications such as imaging and chemical analysis. This project aims to combine THz sensing with the Kalman Filter estimator, a recursive algorithm typically utilized for estimating data with high levels of noise. Upon a thorough effort, we investigate the prospects and challenges in THz sensing using the Kalman filter for assistance. Upon examining this area, we found an increasing pattern in combining THz wavelength technologies that boosts the precision and effectiveness of Kalman Filter applications in THz sensing. The topic being talked about is the significance of this technology in improving the dependability of detecting and measuring data in difficult conditions. Moreover, this document outlines essential advancements and trends in the field of THz sensing, as well as the progress in various disciplines that contribute to the development of THz sensing. This paper presents details about the current planning and disadvantages of utilizing Kalman Filters in THz sensing. It has served as a broad guide for both scientists and professionals, laying the groundwork for future advancements in this field. Incorporating these directivity methods not only enhances detection capabilities but also produces novel contributions to the field of THz sensing that also facilitate knowledge sharing.

show abstract

ISRS impact-reduced routing, modulation, band, and spectrum allocation algorithm in C + L-bands elastic optical networks

Cited by 3 publications

References 38 publications

Fragmentation and ISRS-Aware Survivable Routing, Band, Modulation, and Spectrum Allocation Algorithm in Multi-Band Elastic Optical Networks

Fragmentation and ISRS-Aware Survivable Routing, Band, Modulation, and Spectrum Allocation Algorithm in Multi-Band Elastic Optical Networks

Analysis of the impact of different node and link architectures on the performance of multiband elastic optical networks

Terahertz sensing through the lens of the Kalman filter: a bibliometric exploration

Contact Info

Product

Resources

About