journal article·2024-05-31Open access

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

Yunxuan Liu, Nan Feng, Lingfei Shen, Jingjing Lv, Dan Yan, Jijun Zhao

Applied Sciences· Volume 14· Issue 11

Abstract

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Optical Network Technologies · Optical Network Technologies · Advanced Photonic Communication Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Information and Electrical Engineering, Hebei University of Engineering, Handan 056038, China

Hebei Key Laboratory of Security and Protection Information Sensing and Processing, Handan 056038, China

Hebei Key Laboratory of Photonic Information Technology and Application, The 54th Research Institute of CETC, Shijiazhuang 050081, China

References (34)

Show source-provided references
1. IoT and Cloud computing issues, challenges and opportunities: A review10.48161/qaj.v1n2a36 ↗
2. Routing and spectrum allocation in elastic optical networks: A tutorial10.1109/COMST.2015.2431731 ↗
3. Assessment on the achievable throughput of multi-band ITU-T G.652.D fiber transmission systems10.1109/JLT.2020.2989620 ↗
4. Fragmentation problems and management approaches in elastic optical networks: A survey10.1109/COMST.2017.2769102 ↗
5. SDFA: A service-driven fragmentation-aware resource allocation in elastic optical networks10.1109/TNSM.2021.3116757 ↗
6. Spectrum allocation using multiparameter optimization in elastic optical networks10.1016/j.comnet.2022.109478 ↗
7. Multi-band elastic optical networks: Inter-channel stimulated Raman scattering-aware routing, modulation level and spectrum assignment10.1109/JLT.2021.3065297 ↗
8. Failure recovery in the MANTRA architecture with an IPoWDM SONiC node and 400ZR/ZR+ pluggables10.1364/JOCN.514179 ↗
9. An evolutionary algorithm approach for dedicated path protection problem in elastic optical networks10.1080/01969722.2013.803885 ↗
10. Survivable elastic optical networks: Survey and perspective10.1007/s11107-015-0532-0 ↗
11. On the interplay of nonlinear interference generation with stimulated Raman scattering for QoT estimation10.1109/JLT.2018.2814840 ↗
12. The Gaussian noise model in the presence of inter-channel stimulated Raman scattering10.1109/JLT.2018.2830973 ↗
13. QoT-aware tree selection, routing, modulation, and spectrum assignment for filterless EONs over the C+ L-band10.1364/JOCN.501624 ↗
14. Scalable and disaggregated ggn approximation applied to a C+ L+ S optical network10.1109/JLT.2022.3162134 ↗
15. Semrau, D., Galdino, L., Sillekens, E., Lavery, D., Killey, R.I., and Bayvel, P. (2019, January 22–26). Modulation format dependent, closed-form formula for estimating nonlinear interference in S+ C+ L band systems. Proceedings of the 45th European Conference on Optical Communication (ECOC 2019), Dublin, Ireland.10.1049/cp.2019.0892 ↗
16. Lasagni, C., Serena, P., and Bononi, A. (2019, January 22–26). A Raman-aware enhanced GN-model to estimate the modulation format dependence of the SNR tilt in C+ L band. Proceedings of the 45th European Conference on Optical Communication (ECOC 2019), Dublin, Ireland.10.1049/cp.2019.0893 ↗
17. Venda, P., Rebol, J., and Cancela, L. (2022, January 20–22). Impact of traffic load and spectral occupancy on Gaussian noise models performance for multiband networks. Proceedings of the 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Porto, Portugal.10.1109/CSNDSP54353.2022.9907947 ↗
18. A generalized Raman scattering model for real-time SNR estimation of multi-band systems10.1109/JLT.2023.3250751 ↗
19. ISRS impact-reduced routing, modulation, band, and spectrum allocation algorithm in C+ L-bands elastic optical networks10.1016/j.yofte.2023.103640 ↗
20. Survivable routing, spectrum, core and band assignment in multi-band space division multiplexing elastic optical networks10.1109/JLT.2022.3161502 ↗
21. Impairment-and fragmentation-aware dynamic routing, modulation and spectrum allocation in C+ L band elastic optical networks using Q-learning10.1016/j.osn.2022.100717 ↗
22. Machine learning-assisted nonlinear-impairment-aware proactive defragmentation for C+L band elastic optical networks10.1364/JOCN.440214 ↗
23. Defragmentation based on route partitioning in 1+ 1 protected elastic optical networks10.1016/j.comnet.2020.107317 ↗
24. A survivable multipath resource allocation strategy based on fragmentation-sensitive fragmentation-aware in space division multiplexing elastic optical networks10.1016/j.comcom.2023.03.025 ↗
25. Robust RMSA design for shared backup path protection based EON against nonlinear impairments10.1364/JOCN.462919 ↗
26. Liu, Y., Feng, N., Shen, L., Lv, J., Hu, J., and Zhao, J. (2023, January 4–7). QoT Assured RBMSA Design for Shared Path Protection based C+ L Bands EONs. Proceedings of the 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM), Wuhan, China.10.1109/ACP/POEM59049.2023.10369108 ↗
27. A spectrum allocation scheme based on first–last-exact fit policy for elastic optical networks10.1016/j.jnca.2016.02.020 ↗
28. Transductive transfer learning-based spectrum optimization for resource reservation in seven-core elastic optical networks10.1109/JLT.2019.2902454 ↗
29. Minimizing inter–core crosstalk jointly in spatial, frequency, and time domains for scheduled lightpath demands in multi–core fiber–based elastic optical network10.1109/JLT.2020.3004138 ↗
30. Impairment- and splitting-aware cloud-ready multicast provisioning in elastic optical networks10.1109/TNET.2016.2615942 ↗
31. Lorb: Link-oriented resource balancing scheme for hybrid C/C+L band elastic optical networks10.1016/j.yofte.2022.103071 ↗
32. Study and analysis of routing and spectrum allocation (RSA) and routing, modulation and spectrum allocation (RMSA) algorithms in elastic optical networks (EONs)10.1016/j.osn.2016.08.003 ↗
33. SNR re-verification-based routing, band, modulation, and spectrum assignment in hybrid C-C+ L optical networks10.1109/JLT.2022.3170332 ↗
34. Fragmentation-avoiding spectrum assignment algorithm based on time-spectrum partition for elastic optical networks10.1016/j.yofte.2019.102020 ↗