Journal of Optical Communications and Networking最新文献_第7页

Long-haul dissemination of the Swiss national time-scale UTC(CH) in a telecommunication fiber network via White Rabbit 瑞士国家时间尺度UTC（CH）通过白兔在电信光纤网络中的长距离传播

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-06-25 DOI: 10.1364/JOCN.560593

A. Jallageas;D. Husmann;J. Morel;F. Mauchle;R. Mathis;L. Nagy;A. Jaquier

{"title":"Long-haul dissemination of the Swiss national time-scale UTC(CH) in a telecommunication fiber network via White Rabbit","authors":"A. Jallageas;D. Husmann;J. Morel;F. Mauchle;R. Mathis;L. Nagy;A. Jaquier","doi":"10.1364/JOCN.560593","DOIUrl":"https://doi.org/10.1364/JOCN.560593","url":null,"abstract":"White Rabbit has emerged as a promising technology for time-scale dissemination, providing resilience to satellite techniques. To achieve state-of-the-art synchronicity at the sub-nanosecond level in a White Rabbit network, a complete characterization of physical effects, components, and the reference time scale is required in order to remove systematic offsets not compensated by the White Rabbit protocol. Due to this complexity, only a few long-range White Rabbit networks can claim synchronicity to a national time scale on a sub-nanosecond level. We present here such a network with the vocation to disseminate the Swiss official time-scale UTC(CH). To that end, the White Rabbit network layer is multiplexed into two dark channels in the L-band of a deployed telecommunication fiber network covering nearly 500 km of fiber. We characterize its performance in terms of stability and accuracy and find an uncertainty of 289–415 ps. This validates its potential to disseminate UTC(CH) at the sub-nanosecond accuracy and precision level. The results confirm that White Rabbit provides the necessary performance to distribute and compare the national time-scale UTC(CH) over optical fiber networks at the national and eventually at international levels.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 7","pages":"631-637"},"PeriodicalIF":4.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multicast-native DU–CU deployment and x-haul scheduling for 5G-Advanced optical-wireless converged networks 5G-Advanced光无线融合网络的多播本地DU-CU部署和x-haul调度

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-06-25 DOI: 10.1364/JOCN.553717

Yuming Xiao;Pengfei Zhu;Haiqiao Wu;Xinping Gao;Chen Zhang

{"title":"Multicast-native DU–CU deployment and x-haul scheduling for 5G-Advanced optical-wireless converged networks","authors":"Yuming Xiao;Pengfei Zhu;Haiqiao Wu;Xinping Gao;Chen Zhang","doi":"10.1364/JOCN.553717","DOIUrl":"https://doi.org/10.1364/JOCN.553717","url":null,"abstract":"Real-time immersive media has sparked a wave of application innovations (e.g., live streaming), fueling the rapid prosperity of multicast services supported in 5G-Advanced radio access networks (5G-A RANs). However, multicast will involve transmitting multiple copies of service data within the RAN, resulting in resource overprovisioning for both baseband processing and optical x-haul transmission. This challenge will increase the expenditure for RAN infrastructure, necessitating considerable concern from telecom operators. Despite its significance, this issue has not been thoroughly explored in existing literature. To address this issue, this paper proposes a mixed-resource-sharing (MRS) scheme, enabling identical multicast requests from the same or different active antenna units to share common processing and transmission resources. By building upon this scheme, we propose a mixed-integer linear programming model to optimize baseband-function deployment and x-haul scheduling, with the aim of minimizing the number of activated processing pools, consumed processing and bandwidth resources, as well as utilized wavelengths. We then develop an MRS-enabled heuristic to further adapt this scheme to large-scale network paradigms. For validation, we compare our proposals with the traditional solution in the existing literature, which simply emulates multicast as multiple independent unicasts. Simulations are conducted in both small-scale and large-scale networks across different cases. Numerical results demonstrate that our proposals outperform the existing solution, particularly in terms of processing resource saving, with improvements exceeding 12%.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 7","pages":"564-579"},"PeriodicalIF":4.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optical fiber anomaly detection through SRS-induced spectral tilt in C+L-band transmission systems C+ l波段传输系统中srs诱导光谱倾斜的光纤异常检测

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-06-24 DOI: 10.1364/JOCN.566245

Zihao Cui;Yuchen Song;Xiao Luo;Shengnan Li;Jiele Li;Meixia Fu;Cheng Ju;Jin Li;Min Zhang;Danshi Wang

{"title":"Optical fiber anomaly detection through SRS-induced spectral tilt in C+L-band transmission systems","authors":"Zihao Cui;Yuchen Song;Xiao Luo;Shengnan Li;Jiele Li;Meixia Fu;Cheng Ju;Jin Li;Min Zhang;Danshi Wang","doi":"10.1364/JOCN.566245","DOIUrl":"https://doi.org/10.1364/JOCN.566245","url":null,"abstract":"Fiber-optic communication systems serve as the backbone of modern data communication networks, with increasing demands on their reliability and robustness in various emerging applications. A key challenge in ensuring reliable fiber-optic transmission lies in addressing fiber anomalies, which can cause signal degradation, service disruptions, and even system failures. However, the current anomaly detection method is too complex to be implemented in deployed networks or consumes too much time during detection. This paper proposes a simple and effective fiber anomaly detection method for C+L-band fiber-optic communication systems, leveraging the spectral tilt induced by the stimulated Raman scattering (SRS) effect. The method reconstructs the spectral tilt along an anomalous fiber link by analyzing the input and output power profile, easily obtainable from optical channel monitors (OCMs), enabling anomaly localization and loss quantification through forward and backward spectral tilt comparison. The performance and robustness of the proposed method are studied and discussed in actual scenarios such as erbium-doped fiber amplifier gain fluctuations, OCM measurement errors, parameter inaccuracies, and modeling inaccuracies. In addition to being able to detect a single anomaly, the process of using the proposed method to achieve multiple anomaly detection links is also discussed according to the chronological order of anomalies. Experimental validation on a multi-span C+L-band transmission system achieves a maximum localization error of 2.06 km and a maximum loss estimation error of 0.14 dB within 2 s. This work underscores the potential of exploiting inherent physical phenomena like SRS for fast anomaly detection in deployed optical networks.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 7","pages":"616-630"},"PeriodicalIF":4.0,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ToPro+: a topology projector considering port assignment and waveguide routing for wavelength-routed optical networks-on-chip ToPro+：考虑端口分配和波导路由的拓扑投影仪，用于波长路由的片上光网络

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-06-18 DOI: 10.1364/JOCN.559568

Zhidan Zheng;Mengchu Li;Tsun-Ming Tseng;Ulf Schlichtmann

{"title":"ToPro+: a topology projector considering port assignment and waveguide routing for wavelength-routed optical networks-on-chip","authors":"Zhidan Zheng;Mengchu Li;Tsun-Ming Tseng;Ulf Schlichtmann","doi":"10.1364/JOCN.559568","DOIUrl":"https://doi.org/10.1364/JOCN.559568","url":null,"abstract":"For supporting high-bandwidth communication with low power and latency, wavelength-routed optical networks-on-chip (WRONoCs) are widely considered an appealing option for high-performance computing systems. Moreover, current physical-design-friendly topologies, where the interconnect is optimized to match physical constraints, have attracted increasing attention. Despite the layout-aware interconnect, current physical design methods overlook the physical information and synthesize layouts from scratch. As a result, the implementation of the physical-design-friendly topologies faces two major concerns: (a) significant computational complexity caused by performing physical design from scratch and (b) high power consumption due to much insertion loss generated by extra crossings or detours of waveguides in the layout results. To overcome them, we propose a novel, to our knowledge, design methodology, ToPro+, to implement physical-design-friendly topologies. Instead of abandoning the layout-aware interconnect of those topologies, we make full use of them by projecting the topologies directly onto a layout plane. In this way, the interconnect is entirely reserved and directly serves as a set of physical connections, which reduces the computational complexity. To avoid extra crossings and detours of waveguides, we optimize the assignment from the input/output ports of a topology to the sending/receiving terminals of nodes and the waveguide routing between them. The experimental results demonstrate the efficiency of ToPro+. For a 16-node network, compared to the two latest WRONoC design methods, ToPro+ synthesizes it within a few seconds and reduces the total optical power consumption by about 30%.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 7","pages":"601-615"},"PeriodicalIF":4.0,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Field demonstration of commercial PONs for edge-cloud-based industrial scenarios: requirements, use cases, and proofs of concept 基于边缘云的工业场景的商业pon的现场演示：需求、用例和概念证明

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-06-16 DOI: 10.1364/JOCN.559569

Massimiliano Sica;Behnam Shariati;Hagen Hosl;David Przewozny;Sonke C. Niemann;Moritz Chemnitz;Paul Chojecki;Johannes K. Fischer;Ronald Freund

{"title":"Field demonstration of commercial PONs for edge-cloud-based industrial scenarios: requirements, use cases, and proofs of concept","authors":"Massimiliano Sica;Behnam Shariati;Hagen Hosl;David Przewozny;Sonke C. Niemann;Moritz Chemnitz;Paul Chojecki;Johannes K. Fischer;Ronald Freund","doi":"10.1364/JOCN.559569","DOIUrl":"https://doi.org/10.1364/JOCN.559569","url":null,"abstract":"Industrial networks and edge-cloud integration in manufacturing processes have gained significant attention due to the evolving requirements of Industry 4.0. Key demands include data-driven network management, multi-service support, and low-latency, high-bandwidth communications, all essential for the industry’s future. Standardization groups like the European Telecommunications and Standardization Institute (ETSI) and several other research groups are working to quantify the requirements that industrial networks must meet to support Industry 4.0 applications. This study implements two ETSI use cases: Edge-Cloud-based Visual Inspection for Automatic Quality Assessment in Production and Edge-Cloud-based Control of Automated Guided Vehicles. We experimentally validate the performance of the use cases by employing a physical testbed for edge-cloud-enabled manufacturing based on ETSI recommendations. We present a passive optical network testbed that connects multiple manufacturing floors to an edge-cloud for management, orchestration, and control. Our implementation features nanosecond-scale synchronization using precision time protocol, real-time network and energy monitoring for ubiquitous visibility, and multi-service capabilities through network slicing.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 7","pages":"590-600"},"PeriodicalIF":4.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Longitudinal power profile monitoring telemetry enabling self-healing optical networks 纵向功率分布监测遥测实现自修复光网络

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-06-13 DOI: 10.1364/JOCN.555840

Alessandro Pacini;Fabien Boitier;Alix May;Vinod Bajaj;Andrea Sgambelluri;Alessio Giorgetti;Luca Valcarenghi;Patricia Layec

{"title":"Longitudinal power profile monitoring telemetry enabling self-healing optical networks","authors":"Alessandro Pacini;Fabien Boitier;Alix May;Vinod Bajaj;Andrea Sgambelluri;Alessio Giorgetti;Luca Valcarenghi;Patricia Layec","doi":"10.1364/JOCN.555840","DOIUrl":"https://doi.org/10.1364/JOCN.555840","url":null,"abstract":"Soft failures in optical networks pose a significant challenge, as their detection and localization are notoriously difficult. This often leads to suboptimal mitigation strategies being implemented before the root cause is identified. To address this, the longitudinal power monitoring (LPM) technique has gained significant attention in recent years. LPM leverages information from the coherent receiver to compute the power evolution along the optical path. This paper presents an architecture that integrates the power profile information retrieved from the receiver with the SDN controller. The result is a self-healing optical network capable of locating soft failures in its lightpaths and providing finely tuned reconfigurations to solve them. By developing an OpenConfig-compliant YANG model, we implemented a gNMI streaming mechanism to transmit power profile metrics every 1.5 s from the receiver to the SDN controller. This process utilizes two SDN applications that combine the received data at the controller to finalize the power profile computation and pinpoint the location of soft failures. The architecture’s effectiveness is demonstrated through two scenarios. In the first scenario, the SDN controller accurately identifies and resolves attenuation caused by VOAs strategically placed along a span. In the second scenario, the controller jointly examines the power profiles of two lightpaths to locate a faulty WSS that is causing attenuation in only one of them.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 7","pages":"580-589"},"PeriodicalIF":4.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Toward low-complexity neural networks for failure management in optical networks 面向光网络故障管理的低复杂度神经网络研究

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-06-09 DOI: 10.1364/JOCN.550933

Lareb Zar Khan;Joao Pedro;Omran Ayoub;Nelson Costa;Andrea Sgambelluri;Lorenzo De Marinis;Antonio Napoli;Nicola Sambo

{"title":"Toward low-complexity neural networks for failure management in optical networks","authors":"Lareb Zar Khan;Joao Pedro;Omran Ayoub;Nelson Costa;Andrea Sgambelluri;Lorenzo De Marinis;Antonio Napoli;Nicola Sambo","doi":"10.1364/JOCN.550933","DOIUrl":"https://doi.org/10.1364/JOCN.550933","url":null,"abstract":"Machine learning (ML) continues to show its potential and efficacy in automating network management tasks, such as failure management. However, as ML deployment considerations broaden, aspects that go beyond predictive performance, such as a model’s computational complexity (CC), start to gain significance, as higher CC incurs higher costs and energy consumption. Balancing high predictive performance with reduced CC is an important aspect, and therefore, it needs more investigation, especially in the context of optical networks. In this work, we focus on the problem of reducing the CC of ML models, specifically neural networks (NNs), for the use case of failure identification in optical networks. We propose an approach that exploits the relative activity of neurons in NNs to reduce their size (and hence, their CC). Our proposed approach, referred to as iterative neural removal (INR), iteratively computes neurons’ activity and removes neurons with no activity until reaching a predefined stopping condition. We also propose another approach, referred to as guided knowledge distillation (GKD), that combines INR with knowledge distillation (KD), a known technique for compression of NNs. GKD inherently determines the size of the compressed NN without requiring any manual suboptimal selection or other time-consuming optimization strategies, as in traditional KD. To quantify the effectiveness of INR and GKD, we evaluate their performance against pruning (i.e., a well-known NN compression technique) in terms of impact on predictive performance and reduction in CC and memory footprint. For the considered scenario, experimental results on testbed data show that INR and GKD are more effective than pruning in reducing CC and memory footprint.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 7","pages":"555-563"},"PeriodicalIF":4.0,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Self-configuring metro-access network with OpenXR Pluggables and filter-less OADMs 自配置城域接入网与OpenXR Pluggables和无过滤器oadm

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-06-02 DOI: 10.1364/JOCN.553757

A. Rafel;P. Wright;K. Farrow;R. Kapuscinski;A. Napoli;C. Castro;N. Sugden;A. Stavdas;I. Cooper;E. Kosmatos;P. Pavon-Marino;E. Fernandez;S. Xia;N. Calabretta;R. Casellas

引用次数: 0

Holographic viewpoint rotation prediction-based resource-efficient holographic-type communication service provision in an EON-enabled NG-RAN 在EON-enabled NG-RAN中基于全息视点旋转预测的资源高效全息型通信服务提供

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-04-29 DOI: 10.1364/JOCN.553675

Xin Wang;Chengyuan Zhang;Yafei Wang;Ruikun Wang;Qiaolun Zhang

{"title":"Holographic viewpoint rotation prediction-based resource-efficient holographic-type communication service provision in an EON-enabled NG-RAN","authors":"Xin Wang;Chengyuan Zhang;Yafei Wang;Ruikun Wang;Qiaolun Zhang","doi":"10.1364/JOCN.553675","DOIUrl":"https://doi.org/10.1364/JOCN.553675","url":null,"abstract":"Holographic-type communication (HTC) services, driven by six degrees of freedom (6DoF)-enabled holographic viewpoints and multisensory media (e.g., visual, auditory, and olfactory) data, offer ultra-immersive realism but introduce significant challenges. Frequent and proactive user interactions in HTC exacerbate dynamic bandwidth demands and lead to redundant hologram transmissions, as users engage with only a small portion of the hologram at any time. Additionally, ultra-low latency and precise synchronization requirements across concurrent data flows carrying HTC services further complicate the resource-efficient multisensory data distribution. This paper investigates resource-efficient HTC service provision over an elastic optical network (EON)-enabled next-generation radio access network (NG-RAN), focusing on DU-CU deployment, holographic routing, and spectrum allocation for the transmission of holograms and multisensory media data. To address these issues, we propose a mixed-integer linear programming (MILP) model and a holographic viewpoint rotation prediction-based graph neural network with an edge-node switch convolution-enhanced deep reinforcement learning (VRP-GENSC-DRL) algorithm. The proposed algorithm integrates viewpoint rotation prediction (VRP) using long short-term memory (LSTM) to convert dynamic bandwidth demands into static requirements, a graph neural network (GNN) with edge-node switch convolution for precise feature extraction, and deep reinforcement learning (DRL) for optimized baseband function deployment and holographic RSA. Simulation results indicate that VRP-GENSC-DRL reduces the total number of active processing nodes and consumption of spectrum bandwidth by approximately 50% compared to benchmarks without VRP, effectively addressing the challenges of HTC service delivery.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 5","pages":"425-438"},"PeriodicalIF":4.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characterizing the ODN for a PON using longitudinal power monitoring and simplified coherent receivers 利用纵向功率监测和简化相干接收器表征PON的ODN

IF 4 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-04-29 DOI: 10.1364/JOCN.550082

Chenxi Tan;Istvan Bence Kovacs;Seb J. Savory

{"title":"Characterizing the ODN for a PON using longitudinal power monitoring and simplified coherent receivers","authors":"Chenxi Tan;Istvan Bence Kovacs;Seb J. Savory","doi":"10.1364/JOCN.550082","DOIUrl":"https://doi.org/10.1364/JOCN.550082","url":null,"abstract":"As passive optical networks (PONs) evolve to meet rising demands in bandwidth and quality of service, accurately monitoring power profiles and thus characterizing the optical distribution network (ODN) has become critically important. This paper first demonstrates the longitudinal power monitoring model for simplified coherent PONs using the regularized linear least squares method with piecewise linear fitting to monitor the power evolution and detect losses along the fiber link. The well-selected regularization was verified to be effective in solving the PON-specific ill-posed problem and mitigating the effects of noise to give a stable solution for longitudinal power monitoring. The proposed model was first verified for single-loss events in the simulation and experiment. Simulation results indicate a maximum quantification error of 0.04 dB and a localization error of 0.10 km under various single-loss insertion scenarios. In the experiment, the single-loss insertion was identified without prior knowledge of the number of losses, achieving maximum quantification and localization errors of 0.14 dB and 0.25 km, respectively, thus demonstrating high loss detection accuracy. The proposed model was also extended to multiple-loss detection, and the simulation results indicate its potential applicability in characterizing the ODN for simplified coherent PONs in practical deployments.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 8","pages":"C93-C104"},"PeriodicalIF":4.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0