标题： 下一代多频带EONs中协同超加速功率优化与基于波长的QoT感知跨层设计 显示英文标题

标题： Synergizing Hyper-accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs

摘要： 弹性光网络（EON）向多频段传输（MB-EON）的扩展显示出提高频谱效率、吞吐量和长期成本效益的潜力，这对电信运营商来说前景广阔。然而，设计MB-EON网络引入了复杂的挑战，特别是物理参数（如光功率和传输质量QoT）的优化。光纤的频率相关特性（如损耗、色散和非线性效应），以及通道间受激拉曼散射，在扩展到超过L+C（LC）波段至超过100纳米的连续频谱时构成了显著障碍。在这项研究中，我们提出了一种逐跨段的最优功率分配方法，并引入了两种超加速功率优化（HPO）策略：平坦发射功率（FLP）和平坦接收功率（FRP）。这些方法在保持运行服务稳定的同时，显著加快了网络功率优化的速度。我们的FLP和FRP模型对比分析表明，虽然FRP对容量的影响较小（对于100公里的L+C+S（LCS）系统增加不到10 Tbps），但它在S波段提升了平坦度和GSNR/OSNR指标分别约2/0 dB和2.5/6 dB。各种拓扑结构下的全网分析显示，FRP技术提高了最小GSNR，从而在1%带宽阻塞率的情况下，根据网络规模，吞吐量增加了12%到75%。最后，我们在MB-EON中应用HPO进行局部和全局功率优化的研究表明，尽管这两种方法性能相当，但全局优化对于大规模网络而言更为简单且更具成本效益。 显示英文摘要

摘要： The extension of elastic optical networks (EON) to multi-band transmission (MB-EON) shows promise in enhancing spectral efficiency, throughput, and long-term cost-effectiveness for telecom operators. However, designing MB-EON networks introduces complex challenges, notably the optimization of physical parameters like optical power and quality of transmission (QoT). Frequency-dependent characteristics of fiber, such as loss, dispersion, and nonlinear effects, alongside inter-channel stimulated Raman scattering, pose significant hurdles when extending beyond the L+C (LC) band to a continuous spectrum over 100 nm. In this study, we propose a span-by-span methodology for optimal power allocation, introducing two hyper-accelerated power optimization (HPO) strategies: flat launch power (FLP) and flat received power (FRP). These approaches significantly expedite network power optimization while preserving the stability of running services. Our comparative analysis of FLP and FRP models reveals that while FRP has a minimal effect on capacity (increasing less than 10 Tbps for an L+C+S (LCS) system over 100 km), it improves flatness and GSNR/OSNR metrics in the S-band by approximately 2/0 dB and 2.5/6 dB, respectively. A network-wide analysis across various topologies shows that the FRP technique enhances minimum GSNR, contributing to a throughput increase of 12% to 75%, depending on network scale, at a 1% bandwidth blocking rate. Lastly, our application of HPO in MB-EON for both local and global power optimization demonstrates that while both approaches offer comparable performance, global optimization is simpler and more cost-effective for large-scale networks.