Autonomous Optical Networks that fully exploit System Margins

当前的密集波分复用系统通常使用c波段（191.15-196.10太赫兹）载波频率的信道，信道带宽为50ghz，以及静态的均匀信道计划。提出的研究是针对新兴的光纤传输系统的动态，异构信道计划支持多种符号速率，调制格式和信道带宽。主要的挑战是确定光学性能监测和传输工程技术可以结合的程度，以使传输链路的灵活和动态重构能够满足流量需求。对相关系统属性和性能指标的自主估计将决定在实际网络中推动这种动态的程度，同时提供可靠的传输，并考虑到可预见的使能技术的进步，尊重实施的可行性。提出的研究的关键方面包括：(i)开发可靠和准确的技术来估计系统属性和性能指标；（ii）确定基于编码和概率/几何星座塑造的自主速率适应方案，利用估计的信息动态优化核心网的频谱效率和可实现的传输距离；（iii）设计低延迟代码和新型收发器架构，利用估计的信息满足边缘网络中各种各样的传输要求，同时降低能耗和空间要求。这些活动的一个重要特征是在与工业直接相关的环境中追求目标，特别是项目合作伙伴Ciena：即跨越各种系统配置，这些配置代表了在实践中看到的那些，并且就系统边际而言，这对于负责在确保可靠传输的同时最小化它们的艰巨任务的系统设计师来说最终是至关重要的。

Current dense wavelength division multiplexed systems typically use channels with carrier frequencies in the C-band (191.15-196.10 THz), channel bandwidths of 50 GHz, and static, homogeneous channel plans. The proposed research is aimed at emerging optical fiber transmission systems with dynamic, heterogeneous channel plans supporting multiple symbol rates, modulation formats, and channel bandwidths. The primary challenge is to determine the extent to which optical performance monitoring and transmission engineering techniques can be combined to enable the flexible and dynamic reconfiguration of transmission links to meet traffic requirements. The autonomous estimation of relevant system attributes and performance metrics will determine the degree to which this dynamism can be pushed in practical networks while providing reliable transmission and respecting implementation feasibility given foreseeable advances in enabling technologies.Key aspects of the proposed research include (i) developing reliable and accurate techniques to estimate system attributes and performance metrics, (ii) determining autonomous rate adaptation schemes based on, for example, coding and probabilistic/geometric constellation shaping, that exploit the estimated information to dynamically optimize the spectral efficiency and achievable transmission distance of core networks, and (iii) devising low latency codes and novel transceiver architectures that exploit the estimated information to meet the wide variety of transmission requirements found in edge networks, while offering reductions in energy consumption and space requirements. An important distinguishing feature of the activities is the pursuit of the objectives in an context directly relevant to industry, and in particular the project partner Ciena: namely across a variety of system configurations that are representative of those seen in practice, and in terms of system margins, which are ultimately of paramount importance to system designers charged with the arduous quest of minimizing them while ensuring reliable transmission.