该杂志的范围包括光网络科学、技术和工程的最新进展。鼓励理论贡献（包括新技术、概念、分析和经济研究）和实践贡献（包括光网络实验、原型和新应用）。感兴趣的子领域包括光网络的架构和设计、光网络的生存能力和安全性、软件定义的光网络、弹性光网络、数据和控制平面的进步、网络管理相关的创新以及光接入网络。只有当结果显示直接影响光网络而不是简单的点对点网络时，使能技术及其应用才是合适的主题。

The Journal of Optical Communications and Networking covers the latest advancements in the science, technology, and engineering of optical networks. We encourage contributions in both theoretical aspects, including new technologies, concepts, analyses, and economic studies, as well as practical contributions, such as optical network experiments, prototypes, and new applications. Areas of interest include the architecture and design of optical networks, the resilience and security of optical networks, software-defined optical networks, elastic optical networks, advancements in data and control planes, innovations related to network management, and optical access networks. Relevant technologies and their applications are appropriate topics only when the results demonstrate a direct impact on optical networks rather than merely point-to-point networks.

《Journal of Optical Communications and Networking》涵盖光网络科学、技术和工程的最新进展。我们鼓励理论和实践方面的贡献，包括新技术、概念、分析和经济研究，以及光网络实验、原型和新应用。感兴趣的子领域包括光网络的架构与设计、光网络的生存能力与安全性、软件定义的光网络、弹性光网络、数据与控制平面的进展、网络管理相关的创新以及光接入网络。只有当研究结果对光网络产生直接影响，而不仅仅是点对点网络时，相关技术及其应用才是合适的主题。

Journal of Optical Communications and Networking

Time synchronization is a long-standing challenge in distributed systems like indoor/outdoor positioning, coordinated multi-point in 4G/5G mobile communication, etc., which require nanosecond-level high-reliable time sync networks. At present, a widely adopted solution for time sync networks is the precision time protocol specified in IEEE 1588v2, which can provide sub-microsecond sync accuracy. In addition, a novel network time sync method called distributed time synchronization has also been proposed recently, which can achieve 50-ns-level accuracy and stronger survivability in metro, regional, and backbone networks. However, both of the above methods encounter difficulties in achieving nanosecond sync accuracy and network reliability simultaneously. In this paper, by analyzing the main factors influencing the degradation of time sync accuracy, we reveal that the finite clock resolution is a major barrier to achieving nanosecond-level time synchronization. In order to establish a low-cost, high-reliability, and sub-nanosecond-level time sync network, we propose a novel network time sync method called double-frequency distributed time synchronization (DF-DTS). By selecting two specific and distinct frequencies for the sending and receiving clocks of the nodes/devices being synchronized, the time sync errors induced by the finite clock resolution can be reduced by a statistical approach. We set up a theoretical model for the DF-DTS and analyze the time sync accuracy through both mathematical derivations and network simulations. Furthermore, we propose a failure-restoration mechanism to enhance the reliability of DF-DTS networks by improving the time sync accuracy under failures and reducing the failure recovery time. Finally, we conduct both point-to-point and network time sync experiments to validate the proposed DF-DTS method. The results demonstrate that DF-DTS can achieve sub-nanosecond-level sync accuracy that is 1–2 orders of magnitude higher than the clock resolution in a prototype four-node DF-DTS network. Moreover, a network simulation under failure cases is conducted, and the results show that our method has significant advantages in both time sync accuracy and recovery time in the failure-restoration process compared to IEEE 1588v2.

Ruijie Luo

Nan Hua

Xiaoping Zheng

Bingkun Zhou

High-Reliability Sub-Nanosecond Network Time Synchronization Method Enabled by Double-Frequency Distributed Time Synchronization

高可靠性亚纳秒级网络时间同步方法：基于双频分布式时间同步

Ubiquitous communication is an emergent feature of the future sixth generation of mobile communication (6G) networks. One of the main challenges of this upcoming mobile network is providing broadband communication wherever connectivity is necessary, including rural areas. Up to now, all previous generations of mobile networks have not satisfactorily accomplished this task, and the high cost of deploying and maintaining complex communication infrastructure in remote areas is one of the main reasons. The centralized radio access network might play an important role in overcoming it, since it enables all baseband centralization in a central office (CO), simplifying network deployment and reducing operating/maintenance costs. Additionally, in this scenario, the radio over fiber (RoF) system might be used for transporting analog signals from the CO to a simplified remote base station, composed only of an optical detector and radio-frequency front-end. However, the Mach–Zehnder modulator and power amplifier, commonly employed in RoF systems, introduce undesired nonlinear effects that can severely degrade overall system performance and prohibitively increase the out-of-band emission. We investigate the use of machine learning (ML) algorithms applied to the linearization of an electrical-amplified RoF system. Particularly, a memory recurrent neural network (RNN) linearization is proposed and compared with a memoryless multilayer perceptron linearization. The root mean square error vector magnitude, normalized mean square error, and adjacent channel leakage ratio metrics have been calculated to evaluate the performance of our ML-based approach. Numerical results demonstrate promising linearization performance when the RNN memory depth is equal to or higher than the amplified-RoF system memory depth.

Luiz Augusto Melo Pereira

Luciano Leonel Mendes

Carmelo José Albanez Bastos Filho

Arismar Cerqueira Sodré

Amplified radio-over-fiber system linearization using recurrent neural networks

使用递归神经网络的射频光纤系统线性化

Tianhe Liu

Wei Wang

fan ouyang

Yurou Hao

yajie li

Yongli Zhao

jie zhang

Eavesdropping-Aware Survivable Routing in Physical-Layer Secured Optical Networks

物理层安全光网络中的窃听感知弹性路由

Chunyu Zhang

Yu Chen

Min Zhang

Liu Zhuo

Danshi Wang

Explainable hybrid ensemble model for fault diagnosis with imbalanced data in practical optical networks

实际光网络中不平衡数据的故障诊断可解释混合集成模型

Shudan Han

Yongcheng Li

Gangxiang Shen

Biswanath Mukherjee

Scheduled Lightpath Demand Provisioning in Fiber Space Division Multiplexing Optical Networks

光纤空分复用光网络中的预定光路需求配置

Saverio Pellegrini

Leonardo Minelli

Lorenzo Andrenacci

Giuseppe Rizzelli Martella

Dario Pilori

Gabriella Bosco

Luca Della Chiesa

Claudio Crognale

Stefano Piciaccia

Roberto Gaudino

(OFC 2024) Overview on State of Polarization Sensing: Application Scenarios and Anomaly Detection Algorithms

(OFC 2024) 偏振传感技术现状概述：应用场景与异常检测算法

Meihan Wu

Xiaoliang Chen

Francesco Musumeci

Ruoxing Li

Yuxiao Zhang

Qian Lv

Zuqing Zhu

On the Cross-Layer Restoration to Address Packet Layer Failures in P2MP-TRX-based WSONs

基于P2MP-TRX的WSON中处理分组层故障的跨层恢复研究

Abbreviation	J. Opt. Commun. Netw.
Journal Impact	3.86
Quartiles(Global)	TELECOMMUNICATIONS(Q2)

ISSN	1943-0620, 1943-0639
h-index	77

Publication Information	Publisher: Institute of Electrical and Electronics Engineers Inc.，Publishing cycle: Monthly，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 2009，Proportion of original research papers: 98.18%，Self Citation Rate:27.50%， Gold OA Rate: 6.00%
Average review cycle	网友分享经验：平均6.0个月
Average recruitment ratio	网友分享经验：容易

Journal of Optical Communications and Networking

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High-Reliability Sub-Nanosecond Network Time Synchronization Method Enabled by Double-Frequency Distributed Time Synchronization

Amplified radio-over-fiber system linearization using recurrent neural networks

Eavesdropping-Aware Survivable Routing in Physical-Layer Secured Optical Networks

Explainable hybrid ensemble model for fault diagnosis with imbalanced data in practical optical networks

Scheduled Lightpath Demand Provisioning in Fiber Space Division Multiplexing Optical Networks

Eavesdropping-Aware Survivable Routing in Physical-Layer Secured Optical Networks

(OFC 2024) Overview on State of Polarization Sensing: Application Scenarios and Anomaly Detection Algorithms

Scheduled Lightpath Demand Provisioning in Fiber Space Division Multiplexing Optical Networks

On the Cross-Layer Restoration to Address Packet Layer Failures in P2MP-TRX-based WSONs

Explainable hybrid ensemble model for fault diagnosis with imbalanced data in practical optical networks