{"title":"Quantum computing approach for multi-objective routing and spectrum assignment optimization","authors":"Oumayma Bouchmal;Bruno Cimoli;Ripalta Stabile;Juan Jose Vegas Olmos;Carlos Hernandez-Chulde;Ricardo Martinez;Ramon Casellas;Idelfonso Tafur Monroy","doi":"10.1364/JOCN.552061","DOIUrl":"https://doi.org/10.1364/JOCN.552061","url":null,"abstract":"Optimization problems are fundamental in a wide range of fields, including telecommunications, where efficient resource allocation is critical to ensure good network performance and high scalability. In the context of elastic optical networks (EONs), the multi-objective routing and spectrum assignment (MO-RSA) problem represents a key challenge, as it involves selecting a valid path and assigning frequency slots while fulfilling continuity and contiguity constraints and optimizing multiple conflicting objectives. This paper presents a novel, to the best of our knowledge, quantum-based approach to solving the MO-RSA problem. We first formulate the MO-RSA problem as a quadratic unconstrained binary optimization (QUBO) problem and then solve it using the quantum approximate optimization algorithm (QAOA). Our method accounts for both minimizing the total number of used links (or any non-negative additive metric) and maximizing the optical signal-to-noise ratio. For our simulations, we employed the Qiskit framework and IBM’s sampler-based quantum backend to implement and test the proposed approach. Our results demonstrate that by encoding the MO-RSA problem into a QUBO model and optimizing it with QAOA, we achieved an approximation ratio of 88% and a computational complexity of <tex>$O({n^2})$</tex>, which represents a significant improvement over the exponential complexity of traditional integer linear programming methods.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 6","pages":"B15-B27"},"PeriodicalIF":4.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800763","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}
Renato Cherini;Nehuen Gonzalez-Montoro;Aldana Gonzalez-Montoro;Luis Compagnucci;Jorge M. Finochietto
{"title":"Building operator-centric digital twins for optical transport networks: from data models to real applications","authors":"Renato Cherini;Nehuen Gonzalez-Montoro;Aldana Gonzalez-Montoro;Luis Compagnucci;Jorge M. Finochietto","doi":"10.1364/JOCN.551477","DOIUrl":"https://doi.org/10.1364/JOCN.551477","url":null,"abstract":"The complexity and heterogeneity of modern optical transport networks (OTNs) demand advanced solutions to enhance their operation and maintenance. This paper presents lessons learned from the design and implementation of a digital twin network (DTN) tailored to network operators’ requirements, integrating hybrid models that combine physical representations with data-driven analysis. By leveraging telemetry data, the DTN can facilitate network operators to perform predictive maintenance, resource optimization, and risk analysis. Through a case study on soft failure detection across 454 optical sections, we analyze the value of transforming theoretical concepts coupled with collected data into actionable insights, reducing operational overhead and enhancing network resilience. This work underscores the potential of hybrid modeling in the context of DTN to create operator-centric solutions for optical transport networks.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 6","pages":"B1-B14"},"PeriodicalIF":4.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800769","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}
Takahiro Suzuki;Sang-Yuep Kim;Jun-ichi Kani;Tomoaki Yoshida
{"title":"Full softwarization in optical access networks [Invited]","authors":"Takahiro Suzuki;Sang-Yuep Kim;Jun-ichi Kani;Tomoaki Yoshida","doi":"10.1364/JOCN.549703","DOIUrl":"https://doi.org/10.1364/JOCN.549703","url":null,"abstract":"Optical access systems are needed to meet the ever-increasing range of requirements from legacy services to new services. The application of network function virtualization (NFV) to access systems is promising for flexible function deployment and agile service creation, while the softwarization of upper-layer functions has been progressing for the optical line terminal (OLT). To maximize the flexibility, the softwarization of lower-layer functions, including media access control (MAC), physical-layer (PHY) functions, and digital signal processing (DSP), is also being studied. Although one-port 10 Gb/s systems with softwarized real-time 10G-EPON physical coding sublayer (PCS) have already been demonstrated, systems with higher output speeds have not been demonstrated. This paper builds a softwarized four-port 10G-EPON PCS, including scrambling and forward error correction (FEC), on a general-purpose server and evaluates its real-time throughput, latency, and power consumption. We build a demonstration platform with four-port service node interfaces (SNIs) and four-port passive optical network (PON) interfaces using polling-based data transfer and multi-threading. The results show that our platform achieves approximately <tex>${4} times {10.3125};{rm Gb/s}$</tex> throughput, 0.5 ms round-trip latency, and a 66% reduction in power consumption per port compared to a single-port implementation.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 7","pages":"C62-C69"},"PeriodicalIF":4.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800997","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}
{"title":"Software-defined cloud–optical networks for long-haul geographically distributed machine learning","authors":"Meng Lian;Yongli Zhao;Yike Jiang;Tingting Bao;Yuan Cao;Jie Zhang","doi":"10.1364/JOCN.553555","DOIUrl":"https://doi.org/10.1364/JOCN.553555","url":null,"abstract":"Optical networks enable long-haul geographically distributed machine learning (GDML) by connecting multiple data centers (DCs), offering a solution to overcome limitations of single DC-based training for large models. However, effective coordination is hindered by limited resource sharing among cloud and network entities. In this work, we propose an architecture of a software-defined cloud–optical network (SD-CON). Domain controllers of SD-CON jointly abstract cloud and network resources, while a hyper-domain controller establishes cloud–network service function chains (CN-SFCs) to enhance the cloud–network collaboration. Additionally, we introduce the task scheduling algorithm with a multi-candidate parameter server (MPS) to optimize the CN-SFCs. A 1000 km GDML experiment on the China Environment for Network Innovation demonstrates rapid allocation of cloud and network resources (<tex>${sim}{5.7};{rm s}$</tex> latency) in SD-CON, improving task success rates (over 23.111%) and enhancing resource utilization compared with the baselines.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 5","pages":"363-377"},"PeriodicalIF":4.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801073","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}
{"title":"Resilient single-star and passive double-star fiber links for point-to-multipoint optical networks with switchable path protection","authors":"Takahiro Kodama;Shota Eguchi;Tomoya Nakagawa","doi":"10.1364/JOCN.538664","DOIUrl":"https://doi.org/10.1364/JOCN.538664","url":null,"abstract":"This study focuses on the design of a new, to the best of our knowledge, switchable network with disaster resilience in mind. Specifically, it introduces a redundant link configuration consisting of a single star (SS) type provided to each optical distribution terminal (ODT) as the primary link and a passive double star (PDS) type provided to all ODTs as the secondary link. This configuration allows for a point-to-multipoint (P-to-MP) optical network that can switch between SS and PDS links using an optical switch to achieve rapid recovery and improved reliability during disasters. The study meticulously compares the capital cost and availability of the SS configuration, the PDS configuration, and the SS/PDS switchable configuration with and without variable reflection blocking (VRB). In addition, a bidirectional transmission experiment was conducted using wavelength conversion with two light sources and VRB to address single-link failures. The experimental results unequivocally confirmed that the proposed configuration functions effectively during link failures, ensuring energy-efficient operation and superior capital cost efficiency. Furthermore, it was demonstrated that using VRB at the ODT side allows for bidirectional communication while effectively suppressing reflections, further enhancing the system’s capital and operation cost efficiency. The proposed P-to-MP optical network configuration effectively ensures redundancy and reliability while accommodating the expanded scale of optical fiber deployment in next-generation mobile communication systems.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 4","pages":"324-337"},"PeriodicalIF":4.0,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761450","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}
{"title":"Design model of a three-stage folded Clos network with a decoupled first stage guaranteeing admissible blocking probability","authors":"Eiji Oki;Ryotaro Taniguchi;Kazuya Anazawa;Takeru Inoue","doi":"10.1364/JOCN.550838","DOIUrl":"https://doi.org/10.1364/JOCN.550838","url":null,"abstract":"Some data center networks have implemented optical circuit switching (OCS) to replace electrical packet switching, achieving reduced power consumption, lower latency, and increased capacity. This paper focuses on designing an OCS network to maximize the switching network size, defined as the number of terminals connected under the constraints of a fixed number of identical <tex>$N times N$</tex> switches and a specified maximum admissible blocking probability. An existing design for a three-stage folded Clos network encounters a limitation where the network size ceases to grow as the number of switches increases beyond a certain threshold. To address this, we propose a design model for a three-stage folded Clos network with the decoupled first stage, named 3dF, to maximize the network switching size while guaranteeing an admissible blocking probability. The 3dF model introduces an input–output layer that combines the first- and second-stage switches into a single, large switch and decouples the switching functions originally handled by a single switch at the first stage into two distinct switches. We formulate this model as an optimization problem and employ an exhaustive search-based algorithm to identify the structure with the largest switching network size in non-increasing order while ensuring that specified constraints, such as blocking probability, are satisfied. We derive theoretical results for three-stage folded Clos variants and, through numerical analysis, show that the 3dF design achieves a larger switching network size than other variants under the SNB condition or a blocking probability guarantee.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 4","pages":"309-323"},"PeriodicalIF":4.0,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761451","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}
{"title":"Adaptive windowing-based concept drift detection and adaptation framework for human-to-machine applications over future communication networks","authors":"Xiangyu Yu;Lihua Ruan;Jamie S. Evans;Elaine Wong","doi":"10.1364/JOCN.538964","DOIUrl":"https://doi.org/10.1364/JOCN.538964","url":null,"abstract":"Human-to-machine (H2M) applications in future networks have strict low-latency transmission requirements. Thanks to the assistance of machine learning (ML) in future communication networks, ML-enhanced dynamic bandwidth allocation (DBA) schemes have been proposed to effectively reduce uplink latency in H2M applications. Existing methods generally assume that the H2M application traffic stream is stationary, thereby primarily designing an ML model based on a specific H2M application and fixed traffic load. However, future communication networks are expected to support dynamic and heterogeneous H2M applications. As such, incoming H2M data traffic from networks will change over time as different H2M applications have distinct traffic distributions, causing the concept drift in H2M applications. Meanwhile, another challenge in detecting the concept drift of H2M applications is detecting traffic distribution change in dynamic network environments among similar H2M application scenarios, which leads to an incremental drift of H2M application traffic. To tackle the above challenges, we propose an adaptive windowing-based concept drift detection and adaptation (ADA) framework to support H2M applications in dynamic and heterogeneous networks. Unlike existing solutions that mainly use fixed sliding windows, the proposed ADA dynamically changes the sliding window size based on the drift detection results. Hoeffding’s inequality-based drift detection algorithm is employed in ADA to effectively detect incremental H2M application traffic drift in a dynamic network. Comprehensive simulation investigations show that ADA can enhance DBA performance in terms of uplink latency reduction and rapidly responding and adapting to the concept drift in changing H2M applications and traffic load scenarios of 96.51% drift detection efficiency improvement, and over 50% packet delay reduction in model adaptation compared to frameworks are considered.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 4","pages":"338-351"},"PeriodicalIF":4.0,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761484","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}
{"title":"Exploring the potential of longitudinal power monitoring for detecting physical-layer attacks [Invited]","authors":"Matheus Sena;Abdelrahmane Moawad;Robert Emmerich;Behnam Shariati;Marc Geitz;Ralf-Peter Braun;Johannes Fischer;Ronald Freund","doi":"10.1364/JOCN.554766","DOIUrl":"https://doi.org/10.1364/JOCN.554766","url":null,"abstract":"The recurring cases of suspicious incidents involving optical fiber cables in recent years have exposed the vulnerabilities of modern communication networks. Whether driven by geopolitical tensions, sabotage, or urban vandalism, these disruptions can cause Internet blackouts, compromise user privacy, and, most critically, challenge operators’ reliability in delivering secure connectivity. Moreover, the emergence of such incidents raises key concerns about how effectively network operators can secure thousands of kilometers of deployed fiber without incurring additional costs from expensive monitoring solutions. In this context, the rise of receiver (Rx)-based digital signal processing (DSP) monitoring schemes can serve as a valuable ally. Originally designed for optical performance monitoring—providing insights such as the estimation of the longitudinal power monitoring (LPM) in optical fiber links—these approaches can also play a crucial role in detecting fiber-related attacks, as any attempt to leak or degrade information leaves distinctive optical power signatures that can be revealed by the Rx-DSP. Therefore, this work investigates the effectiveness of LPM in detecting physical-layer attacks. A detailed simulative analysis is conducted for fiber tapping, addressing aspects such as monitoring implementation, security vulnerabilities, and signature recognition. Other attacks, such as quality-of-service degradation and out-of-band jamming via gain competition, are explored qualitatively, offering insights and identifying opportunities for future research.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 7","pages":"C30-C40"},"PeriodicalIF":4.0,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761479","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}
Chenyu Sun;Xin Yang;Gabriel Charlet;Photios A. Stavrou;Yvan Pointurier
{"title":"Digital twin-enabled multi-step strategies for autonomous power equalization in optical networks","authors":"Chenyu Sun;Xin Yang;Gabriel Charlet;Photios A. Stavrou;Yvan Pointurier","doi":"10.1364/JOCN.549934","DOIUrl":"https://doi.org/10.1364/JOCN.549934","url":null,"abstract":"This paper proposes and experimentally evaluates digital twin techniques, incorporating multi-step lookahead and dynamic step-size adjustments for per-channel power equalization in optical networks. Digital twins, which are software replicas of physical systems, are utilized to monitor, analyze, and predict the network behavior, thereby enhancing decision-making processes before implementing any physical adjustments. The study focuses on optimizing the signal-to-noise ratio (SNR) through per-channel launch power equalization, addressing challenges, such as nonlinear inter-channel interference and power transfers across multiple optical multiplex sections. The proposed methodology leverages a digital twin to simulate and predict SNR variations using multi-step lookahead, ensuring the monotonous SNR improvement without service disruptions. Additionally, parallel adjustment and dynamic step-size methods significantly enhance efficiency. Experimental validation on a C-band meshed optical network testbed demonstrates substantial reductions in power errors, improved SNR performance, and decreased commissioning time, highlighting the practical feasibility and efficiency of the approach. The findings underscore the transformative potential of digital twins in advancing autonomous optical network management.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 7","pages":"C41-C50"},"PeriodicalIF":4.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740300","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}
{"title":"Shaping the future of optical networks by integrating SDN, telemetry, and AI [Invited]","authors":"Piero Castoldi;Filippo Cugini;Molka Gharbaoui;Alessio Giorgetti;Francesco Paolucci;Anna Lina Ruscelli;Nicola Sambo;Andrea Sgambelluri;Luca Valcarenghi","doi":"10.1364/JOCN.553843","DOIUrl":"https://doi.org/10.1364/JOCN.553843","url":null,"abstract":"This paper investigates the most prominent lines of optical network control evolution, focusing on software-defined networking (SDN), NETCONF/YANG protocols, telemetry techniques, advancements in packet/optical networking, and the integration of artificial intelligence (AI) within optical networks. We show how the integration of SDN with open modeling frameworks allows to devise hierarchical control models where we trade-off between the segregation of proprietary hardware and the creation of open interfaces like in the OpenSDK scenario. In addition, we depict the convergence of packet and optical layers with advancements in coherent technologies and pervasive telemetry techniques to create new flexible scenarios for controlling optical networks. On top of these approaches, the intent-based networking allows to implement configuration solutions using natural primitives. Finally, key applications of AI, mainly machine learning (ML), including quality-of-transmission estimation, failure prediction, and resource optimization, are analyzed to improve optical network control efficiency alongside their challenges, such as energy efficiency and data scarcity. By addressing advances in the aforementioned areas of research, this work outlines the transformative potential of combining programmability, real-time telemetry, and AI to build resilient, adaptive, and sustainable optical infrastructures for the future.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"17 7","pages":"C51-C61"},"PeriodicalIF":4.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740299","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}