Autonomous Optical Networks that fully exploit System Margins******

当前的密集波分复用系统通常使用载波频率在C波段（191.15-196.10 THz）、信道带宽为50 GHz以及静态均匀信道计划的信道。拟议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率，调制格式和信道带宽。主要的挑战是确定在何种程度上可以结合光性能监测和传输工程技术，使传输链路的灵活和动态的重新配置，以满足交通的要求。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进步的实施可行性。所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度量，（ii）基于例如编码和概率/几何星座成形来确定自主速率自适应方案，其利用所估计的信息来动态地优化核心网络的频谱效率和可实现的传输距离，以及（iii）设计低等待时间码和新颖的收发器架构，其利用所估计的信息来满足在边缘网络中发现的各种各样的传输要求，同时提供能量消耗和空间要求的减少。这些活动的一个重要特点是在与工业直接相关的背景下追求目标，特别是项目合作伙伴Ciena：即在各种系统配置中，这些配置代表了实践中所见的系统配置，并且在系统裕度方面，这些裕度对于系统设计人员来说至关重要，他们负责在确保可靠传输的同时最大限度地减少它们。

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.