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频段(191.15-196.10太赫兹)、信道带宽为50 GHz的信道，以及静态、均匀的信道计划。建议的研究针对的是具有支持多种符号速率、调制格式和信道带宽的动态、不同种类的信道计划的新兴光纤传输系统。主要的挑战是确定可以在多大程度上结合光纤性能监测和传输工程技术，以实现传输链路的灵活和动态重新配置，以满足业务需求。对相关系统属性和性能度量的自主估计将确定在实际网络中能够在提供可靠传输的同时尊重实现可行性的程度。**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/几何星座整形来确定自主速率适配方案，其利用所估计的信息来动态优化核心网的频谱效率和可实现的传输距离，以及(Iii)设计低延迟代码和新颖的收发信机架构，其利用估计的信息来满足EDGE网络中发现的各种传输需求，同时提供能量消耗和空间需求的减少。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，特别是与项目合作伙伴Ciena有关的目标：即跨越各种系统配置，这些配置代表了实践中看到的那些配置，以及系统利润率，这对负责在确保可靠传输的同时最大限度地减少这些目标的系统设计者来说，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.