协同超加速功率优化和波长相关量子点感知跨层设计的新一代多波段eon

Farhad Arpanaei;Mahdi Ranjbar Zefreh;Yanchao Jiang;Pierluigi Poggiolini;Kimia Ghodsifar;Hamzeh Beyranvand;Carlos Natalino;Paolo Monti;Antonio Napoli;José M. Rivas-Moscoso;Óscar González de Dios;Juan Pedro Fernández-Palacios;Octavia A. Dobre;José Alberto Hernández;David Larrabeiti
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引用次数: 0

摘要

弹性光网络(EON)技术向多频段传输(MB-EON)的扩展有望提高频谱效率,提高吞吐量,并为电信运营商带来长期的成本效益。然而,设计这样的网络面临挑战,特别是在优化物理参数,如光功率和传输质量(QoT)在不同的频带。本文介绍了一种利用扁平发射功率(FLP)和扁平接收功率(FRP)两种超加速功率优化(HPO)模式进行跨跨功率优化分配的方法。该方法在保证网络参数变化、老化导致的QoT退化、网络重新优化或升级等场景下的业务稳定性的同时,显著加快了网络功率优化的速度。通过综合比较,我们发现FRP显著改善了信号平坦度和GSNR/OSNR,特别是在s波段,有助于将整个网络的吞吐量提高12%至75%。此外,我们证明了HPO应用于全局功率优化比应用于大规模网络的局部方法更简单,更具成本效益。
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Synergizing Hyper-Accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs
The extension of elastic optical network (EON) technologies to multi-band transmission (MB-EON) promises enhanced spectral efficiency, greater throughput, and long-term cost benefits for telecom operators. However, designing such networks presents challenges, particularly in optimizing physical parameters like optical power and quality of transmission (QoT) across different frequency bands. This paper introduces a methodology for optimal span-by-span power allocation using two hyper-accelerated power optimization (HPO) modes: flat launch power (FLP) and flat received power (FRP). This methodology significantly accelerate network power optimization while ensuring service stability in scenarios such as changes in network parameters, QoT degradation due to aging, and network re-optimization or upgrading. Through a comprehensive comparison, we find that FRP notably improves signal flatness and GSNR/OSNR, particularly in the S-band, contributing to a network-wide throughput increase in the order of 12% to 75%. Additionally, we demonstrate that HPO applied to global power optimization is simpler and more cost-effective than when applied to local methods for large-scale networks.
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