On the Benefits of Rate-Adaptive Transceivers: A Network Planning Study (2312.11005v1)
Abstract: Flexible-grid Elastic Optical Networks (EONs) have been widely deployed in recent years to support the growing demand for bandwidth-intensive applications. To address this cost-efficiently, optimized utilization of EONs is required. Next-generation bandwidth-variable transceivers (BVTs) will offer increased adaptivity in symbol rate as well as modulation through probabilistic constellation shaping. In this work, we therefore investigate the impact of increased configuration granularity on various aspects of optical networks. We account for practical implementation considerations of BVT configurations for the estimation of the required signal-to-noise ratio. Additionally, an optimization algorithm is presented that selects the most efficient configuration for each considered data rate and bandwidth combination. Based on the advanced transceiver configurations, we conduct a network planning study using a physical-layer-aware algorithm for flexible-grid EONs, and present results for a national and a continental optical backbone network topology. Our research demonstrates that a rise in modulation rate adaptivity results in substantial savings in resources, decreasing the number of necessary lightpaths by as much as 20% in EONs. In contrast, increased symbol rate granularity only results in minor savings.
- Acacia, “Acacia Unveils Industry’s First Single Carrier 1.2T Multi-Haul Pluggable Module.” https://acacia-inc.com/blog/acacia-unveils-industrys-first-single-carrier-1-2t-multi-haul-pluggable-module/, 2022.
- Acacia, “Network Optimization in the 600G Era.” https://acacia-inc.com/wp-content/uploads/2018/12/Network-Optimization-in-the-600G-Era-WP1218.pdf, 2018.
- J. Cho and P. J. Winzer, “Probabilistic constellation shaping for optical fiber communications,” Journal of Lightwave Technology, vol. 37, no. 6, pp. 1590–1607, 2019.
- D. A. A. Mello, A. N. Barreto, T. C. de Lima, T. F. Portela, L. Beygi, and J. M. Kahn, “Optical Networking With Variable-Code-Rate Transceivers,” J. Lightwave Technol., vol. 32, pp. 257–266, Jan 2014.
- A. Ferrari, M. Cantono, U. Waheed, A. Ahmad, and V. Curri, “Networking Benefits of Advanced DSP Techniques and Hybrid Fiber Amplification,” in 2017 19th International Conference on Transparent Optical Networks (ICTON), pp. 1–4, 2017.
- O. Karandin, F. Musumeci, O. Ayoub, A. Ferrari, Y. Pointurier, and M. Tornatore, “Quantifying Resource Savings from Low-Margin Design in Optical Networks with Probabilistic Constellation Shaping,” in 2021 European Conference on Optical Communication (ECOC), pp. 1–4, 2021.
- J. Perello, J. M. Gene, and S. Spadaro, “Evaluation of Probabilistic Constellation Shaping Performance in Flex Grid over Multicore Fiber Dynamic Optical Backbone Networks [Invited],” Journal of Optical Communications and Networking, vol. 14, no. 5, pp. B1–B10, 2022.
- J. Slovak, W. Schairer, M. Herrmann, K. Pulverer, and E. Torrengo, “Benefits of Performance Awareness in Coherent Dynamic Optical Networks,” in 2018 Optical Fiber Communications Conference and Exposition (OFC), pp. 1–3, 2018.
- S. Yan, F. N. Khan, A. Mavromatis, D. Gkounis, Q. Fan, F. Ntavou, K. Nikolovgenis, F. Meng, E. H. Salas, C. Guo, C. Lu, A. P. T. Lau, R. Nejabati, and D. Simeonidou, “Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database,” in 2017 European Conference on Optical Communication (ECOC), pp. 1–3, 2017.
- F. Shirin Abkenar and A. Ghaffarpour Rahbar, “Study and Analysis of Routing and Spectrum Allocation (RSA) and Routing, Modulation and Spectrum Allocation (RMSA) Algorithms in Elastic Optical Networks (EONs),” Optical Switching and Networking, vol. 23, pp. 5–39, 2017.
- S. K. Patri, A. Autenrieth, J.-P. Elbers, and C. Mas-Machuca, “Multi-Band Transparent Optical Network Planning Strategies for 6G-ready European Networks,” Optical Fiber Technology, vol. 74, p. 103118, 2022.
- J. Pedro, N. Costa, and S. Pato, “Optical Transport Network Design Beyond 100 Gbaud [Invited],” J. Opt. Commun. Netw., vol. 12, no. 2, pp. A123–A134, 2020.
- Zuse Institute Berlin, “SNDlib Problem Instances.” http://sndlib.zib.de/, Accessed: 2023-01-17.
- J. Cho, S. L. I. Olsson, S. Chandrasekhar, and P. Winzer, “Information Rate of Probabilistically Shaped QAM with Non-Ideal Forward Error Correction,” in 2018 European Conference on Optical Communication (ECOC), pp. 1–3, 2018.
- A. Alvarado, E. Agrell, D. Lavery, R. Maher, and P. Bayvel, “Replacing the Soft-Decision FEC Limit Paradigm in the Design of Optical Communication Systems,” Journal of Lightwave Technology, vol. 34, no. 2, pp. 707–721, 2016.
- T. Yoshida, M. Karlsson, and E. Agrell, “Performance Metrics for Systems With Soft-Decision FEC and Probabilistic Shaping,” IEEE Photonics Technology Letters, vol. 29, no. 23, pp. 2111–2114, 2017.
- ADVA, “TeraFlex™.” https://www.adva.com/en/products/open-optical-transport/fsp-3000-open-terminals/teraflex. [Last accessed: January 2023].
- M. Zefreh, F. Forghieri, S. Piciaccia, and P. Poggiolini, “Accurate Closed-Form Real-Time EGN Model Formula Leveraging Machine-Learning over 8500 Thoroughly Randomized Full C-band Systems,” Journal of Lightwave Technology, vol. PP, pp. 1–1, 05 2020.
- J. Müller, S. K. Patri, T. Fehenberger, H. Griesser, J.-P. Elbers, and C. Mas-Machuca, “QoT Estimation using EGN-assisted Machine Learning for Multi-Period Network Planning,” J. Opt. Commun. Netw., vol. 14, pp. 1010–1019, Dec 2022.