Journal of Optical Communications and Networking最新文献_第10页

Domain discrepancy feedback optimization method for few-sample QoT estimation in optical networks 光网络中小样本QoT估计的域差异反馈优化方法

IF 4.3 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-11-27 DOI: 10.1364/JOCN.572972

Xiaobo Zuo;Zhiqun Gu;Shihao Fan;Danping Ren;Zhongcheng Wei;Nan Feng;Jijun Zhao

{"title":"Domain discrepancy feedback optimization method for few-sample QoT estimation in optical networks","authors":"Xiaobo Zuo;Zhiqun Gu;Shihao Fan;Danping Ren;Zhongcheng Wei;Nan Feng;Jijun Zhao","doi":"10.1364/JOCN.572972","DOIUrl":"https://doi.org/10.1364/JOCN.572972","url":null,"abstract":"Accurate quality of transmission (QoT) estimation is crucial for optimizing optical network planning and operation. Machine learning has attracted attention as a promising scheme for QoT estimation. Usually, it is difficult to obtain a large amount of optical path data due to environmental and cost constraints. The data collection difficulties can be mitigated by transfer learning (TL) that leverages knowledge across domains. However, the QoT estimation model’s performance will degrade when the data distribution between the source and target domains is significantly different. Therefore, this paper proposes a domain discrepancy feedback optimization (DDFO) method to improve the QoT estimation accuracy under few-sample conditions. Within the proposed method, first, a dual-branch neural network with shared weights is constructed to learn from both the source and target domains jointly. Subsequently, an adaptive alignment layer is introduced to measure the feature distribution discrepancy between domains. Finally, the discrepancy loss is incorporated into the overall loss function to guide model training through the feedback mechanism. Simulation results show that the performance of the DDFO method demonstrates an improvement ranging from 26.38% to 42.65% compared with traditional artificial neural networks, TL, and sample-distribution-matching-based transfer learning in diverse network topology scenarios. DDFO demonstrates strong generalization and superior performance in few-sample QoT estimation, making it a promising solution for practical optical network optimization.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 12","pages":"1161-1175"},"PeriodicalIF":4.3,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145612054","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

Zero-shot forecasting of optical network telemetry using large language models 基于大语言模型的光网络遥测零射击预测

IF 4.3 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-11-26 DOI: 10.1364/JOCN.575791

Khouloud Abdelli

{"title":"Zero-shot forecasting of optical network telemetry using large language models","authors":"Khouloud Abdelli","doi":"10.1364/JOCN.575791","DOIUrl":"https://doi.org/10.1364/JOCN.575791","url":null,"abstract":"Accurate forecasting of optical network telemetry is critical for enabling predictive maintenance and proactive network management. However, conventional forecasting approaches often rely on task-specific architectures, extensive labeled datasets, and manual feature engineering—factors that limit their adaptability and scalability across heterogeneous deployment scenarios. In this work, we introduce a zero-shot forecasting framework that leverages pretrained large language models (LLMs) to perform prompt-based inference directly on telemetry data without requiring fine tuning, retraining, or supervision. Time series signals are tokenized at the digit level and reformulated as structured language sequences, enabling LLMs to perform forecasting, anomaly detection, and missing data imputation using natural language prompts. We evaluate our approach on real-world measurements from an aerial WDM system—comprising PM and SOP data under live traffic and varying environmental conditions—as well as on other out-of-distribution datasets. LLM demonstrates good forecasting accuracy and robustness to noise, missing inputs, and domain shifts, achieving performance that is competitive with classical and deep learning baselines across a range of metrics and conditions. Crucially, the model generalizes across multivariate and multimodal telemetry streams without architectural modification, enabling accurate forecasting from exogenous signals such as environmental variables. These results position instruction-tuned LLMs as lightweight, interpretable, and scalable building blocks for next-generation telemetry analytics—offering a unified, prompt-driven alternative to fragmented and model-centric forecasting pipelines.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 12","pages":"1148-1160"},"PeriodicalIF":4.3,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145612050","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

Hybrid quantum-classical computing mechanism for QoT-aware dynamic routing, modulation, and spectrum allocation in a multi-band flexible optical network 多频带柔性光网络中qot感知动态路由、调制和频谱分配的混合量子经典计算机制

IF 4.3 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-11-25 DOI: 10.1364/JOCN.572283

Miao Zhu;Rentao Gu;Jiangshan Dong;Lin Bai;Hui Li;Yuefeng Ji

{"title":"Hybrid quantum-classical computing mechanism for QoT-aware dynamic routing, modulation, and spectrum allocation in a multi-band flexible optical network","authors":"Miao Zhu;Rentao Gu;Jiangshan Dong;Lin Bai;Hui Li;Yuefeng Ji","doi":"10.1364/JOCN.572283","DOIUrl":"https://doi.org/10.1364/JOCN.572283","url":null,"abstract":"The exponential growth of global network traffic has made the expansion of network capacity increasingly urgent. Multi-band and flexible grid technologies have emerged as promising solutions to enhance network transmission capacity. Fast routing is an important measure to ensure the survivability of a multi-band flexible optical network (MB-FON) that carries massive services. However, the extensive network resources and the inter-channel stimulated Raman scattering (ISRS) effect between different bands pose a challenge to the efficient solution of classical routing, modulation, and spectrum allocation (RMSA) methods. This paper leverages the parallel computing advantage of quantum computing and proposes a hybrid quantum-classical computing mechanism for quality of transmission (QoT)-aware dynamic RMSA in MB-FON. In this mechanism, a decouple-then-integrate strategy is proposed to formulate the QoT-aware RMSA problem as a quadratic unconstrained binary optimization model. The augmented Lagrangian method is introduced to deal with the inequality constraint in an ISRS-aware formulation, and a path fragmentation metric is proposed to design the optimization objective. In addition, a coherent Ising machine is used to solve the problem by adjusting the parameters and precision in combination with classical computing methods. Experiments were conducted on network topologies of different sizes. The experimental results show that the solution time can be reduced from nearly 6 s to 537 µs compared with the auxiliary graph-based heuristic algorithm in a 142-node network. It also demonstrates that the proposed mechanism outperforms classical heuristic algorithms in terms of blocking probability and spectrum utilization.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"18 1","pages":"A60-A74"},"PeriodicalIF":4.3,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145612156","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

Centralized bidirectional heterogeneous fiber-FSO-mmWave-converged networks for 6G dense cellular network deployments 用于6G密集蜂窝网络部署的集中式双向异构光纤- fso -毫米波融合网络

IF 4.3 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-11-24 DOI: 10.1364/JOCN.571969

Luis Vallejo;Jose Mora;Wei Jin;Jaime Romero-Huedo;Lin Chen;Jianming Tang;Beatriz Ortega

{"title":"Centralized bidirectional heterogeneous fiber-FSO-mmWave-converged networks for 6G dense cellular network deployments","authors":"Luis Vallejo;Jose Mora;Wei Jin;Jaime Romero-Huedo;Lin Chen;Jianming Tang;Beatriz Ortega","doi":"10.1364/JOCN.571969","DOIUrl":"https://doi.org/10.1364/JOCN.571969","url":null,"abstract":"To address the unprecedented technical challenges arising from ultra-dense cellular network deployment for applications in densely populated urban areas envisioned for 6G, this paper proposes and experimentally demonstrates a novel, to our knowledge, centralized bidirectional heterogeneous access network with advanced baseband unit (BBU) pooling and cost-effective remote radio head (RRH) designs free from both lasers and digital signal processing (DSP). The network supports flexible deployments of fiber, free space optical (FSO), and millimeter wave (mmWave) segments, thus ensuring ubiquitous network connectivity. More importantly, it also seamlessly converges various network segments (fiber, FSO, and mmWave) and enables their uplink (UL) and downlink (DL) signals to concurrently and continuously flow between the BBU and user equipment (UE) without requiring optical-electrical/electrical-optical conversions and/or DSPs at any intermediate nodes. In the proposed network, DL mmWave signals are generated and detected using a free-running laser and a passive envelope detection. For the UL case, conventional electrical local oscillators and mixers are used for mmWave up-conversion and down-conversion. The performances of the proposed networks, including UL/DL channel interferences and achievable throughputs, are experimentally evaluated over a fiber-FSO-mmWave setup with 10 km fiber, 1.8 m FSO, and 3 m mmWave links (39 GHz/0.4 Gbit/s for DL, 36.5 GHz/0.2 Gbit/s for UL). The experimental results show robust bidirectional transmissions with negligible UL/DL interferences and minimal impacts from Rayleigh and Brillouin backscattering.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 12","pages":"1136-1147"},"PeriodicalIF":4.3,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145612043","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

Routing and wavelength assignment problems in optical networks—comparing formulations for solution by quantum annealing 光网络中的路由和波长分配问题——量子退火解决方案的比较

IF 4.3 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-11-21 DOI: 10.1364/JOCN.553657

Ethan Davies;Darren Banfield;Ben Weaver;Catherine White;Nigel Walker

引用次数: 0

TrustOPT: a trusted online optimization strategy for reliable autonomous optical networks with field-trial demonstration TrustOPT：一种可靠自主光网络的可信在线优化策略

IF 4.3 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-11-20 DOI: 10.1364/JOCN.572249

Qizhi Qiu;Xiaomin Liu;Yihao Zhang;Lilin Yi;Weisheng Hu;Qunbi Zhuge

{"title":"TrustOPT: a trusted online optimization strategy for reliable autonomous optical networks with field-trial demonstration","authors":"Qizhi Qiu;Xiaomin Liu;Yihao Zhang;Lilin Yi;Weisheng Hu;Qunbi Zhuge","doi":"10.1364/JOCN.572249","DOIUrl":"https://doi.org/10.1364/JOCN.572249","url":null,"abstract":"Optical power optimization is essential for improving the quality of transmission (QoT) in autonomous optical networks (AONs). However, online optical power optimization is challenging due to the potential performance degradation and even service disruption caused by exploratory adjustments. In this paper, we propose TrustOPT, a trusted online optimization strategy for reliable optical power optimization in AONs. By leveraging the Lipschitz constant (L-constant), TrustOPT defines an evolving trusted configuration space, ensuring that the QoT can remain above the required threshold even under worst-case degradation after each adjustment. Within the trusted space, advanced optimization algorithms are employed to efficiently optimize optical amplifier (OA) configurations for improved QoT. TrustOPT is validated on a field-deployed testbed with live services. Field-trial results demonstrate that TrustOPT achieves optimal optical power while maintaining a 4 dB Q-factor margin, even in a challenging scenario with only a 0.15 dB initial Q-factor margin. Compared with established optimization strategies, TrustOPT achieves superior performance in both optimization results and processes. Specifically, in terms of worst-case Q-factor during optimization, TrustOPT outperforms Bayesian optimization by over 4.73 dB, significantly enhancing the optimization reliability. Moreover, a strong agreement between the estimated and field-measured L-constants is observed, further verifying the reliability and practical effectiveness of the proposed approach. TrustOPT thus provides a robust and practical solution for achieving reliable online optical power optimization in future AONs.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"18 1","pages":"A44-A53"},"PeriodicalIF":4.3,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145560753","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

Channel power pre-equalization method in heterogeneous multi-band transmission networks [Invited] 异构多频带传输网络中的信道功率预均衡方法[特邀]

IF 4.3 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-11-20 DOI: 10.1364/JOCN.572028

Takeshi Seki;Haruka Minami;Rie Hayashi;Takeshi Kuwahara

引用次数: 0

Single-photon time-of-flight measurements for benchmarking time transfer in quantum networks 量子网络中基准时间传递的单光子飞行时间测量

IF 4.3 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-11-17 DOI: 10.1364/JOCN.577755

Dongxing He;Paulina S. Kuo;Ya-Shian Li-Baboud;Anouar Rahmouni;Matthew D. Shaw;Boris A. Korzh;Thomas Gerrits

引用次数: 0

Enhancing the reliability of multipath QKD over multi-band systems 提高多波段系统中多径QKD的可靠性

IF 4.3 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-11-14 DOI: 10.1364/JOCN.569098

Morteza Ahmadian;Farhad Arpanaei;Juan Carlos Hernandez-Hernandez;Rui Lin;Paolo Monti

{"title":"Enhancing the reliability of multipath QKD over multi-band systems","authors":"Morteza Ahmadian;Farhad Arpanaei;Juan Carlos Hernandez-Hernandez;Rui Lin;Paolo Monti","doi":"10.1364/JOCN.569098","DOIUrl":"https://doi.org/10.1364/JOCN.569098","url":null,"abstract":"Quantum key distribution (QKD) networks offer scalable secure communication, while efficient integration with existing optical infrastructure requires careful consideration. This paper investigates enhancing the security of multipath QKD over multi-band systems by exploring the trade-offs between multi-band separation and multipath techniques. A novel, to our knowledge, framework, incorporating blocking ratio analysis for a single and multipath QKD, is proposed, comparing bitwise product and concatenated key generation methods. Our model considers propagation delays and key pool synchronization’s impact on the secret key rate (SKR). Our simulations using a U.S. long-haul network model demonstrate significant benefits of implementing QKD in alternative spectral bands. The results show substantial improvements in SKR at various span lengths in single-path scenarios. Additionally, increasing the number of quantum channels led to noticeable reductions in network blocking rates, enabling higher classical traffic loads throughout the network infrastructure. We introduce, to our knowledge, new KPIs: the blocking rate (<tex>${B_{text{CQ}}}$</tex>) and a comprehensive security rate (<tex>$C$</tex>), assessing the final key’s overall secrecy. For multipath schemes, simulations reveal that concatenated multipath QKD, while exhibiting a superior blocking rate, showed 12% less compromised secrecy at 4000 km (32% to 20%), compared to less than 10% for bitwise product multipath QKD under the same conditions. These findings provide valuable insights into designing efficient and secure quantum-enhanced optical networks, highlighting the complex interplay between security and efficiency in multipath QKD architectures.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 12","pages":"1105-1116"},"PeriodicalIF":4.3,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11247925","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145510222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optical-wireless cooperative control with optical path switching for traffic steering in Open RAN Open RAN中基于光路交换的光无线协同控制

IF 4.3 2区计算机科学

Journal of Optical Communications and Networking Pub Date : 2025-11-14 DOI: 10.1364/JOCN.561224

Kenji Miyamoto;Takumi Harada;Hirotaka Ujikawa;Tatsuya Shimada;Tomoaki Yoshida

引用次数: 0