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Reliable and efficient RAR-based distributed model training in computing power network J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-04-22 Ling Chen, Yajie Li, Carlos Natalino, Yongcheng Li, Boxin Zhang, Yingbo Fan, Wei Wang, Yongli Zhao, and Jie Zhang
The computing power network (CPN) is a novel network technology that integrates computing power from the cloud, edge, and terminals using IP/optical cross-layer networks for distributed computing. CPNs can provide an effective solution for distributed model training (DMT). As a bandwidth optimization architecture based on data parallelism, ring all-reduce (RAR) is widely used in DMT. However, any node
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ML approaches for OTDR diagnoses in passive optical networks—event detection and classification: ways for ODN branch assignment J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-04-12 Michael Straub, Johannes Reber, Tarek Saier, Robert Borkowski, Shi Li, Dmitry Khomchenko, André Richter, Michael Färber, Tobias Käfer, and René Bonk
An ML-supported diagnostics concept is introduced and demonstrated to detect and classify events on OTDR traces for application on a PON optical distribution network. We can also associate events with ODN branches by using deployment data of the PON. We analyze an ensemble classifier and neural networks, the usage of synthetic OTDR-like traces, and measured data for training. In our proof-of-concept
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Introduction to the ONDM 2023 special issue J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-04-12 Teresa Gomes, David Larrabeiti-López, Carmen Mas-Machuca, and Luca Valcarenghi
This JOCN special issue contains extended versions of selected papers presented at the 27th International Conference on Optical Network Design and Modeling (ONDM 2023), which took place on 8–11 May 2023 at the University of Coimbra, Coimbra, Portugal. The articles in this special issue contain several current topics of optical networking research: quality of transmission (QoT) estimation and its importance
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Upgrading strategies for long-haul quantum key distribution networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-04-12 Mario Wenning, Maria Samonaki, Sai Kireet Patri, Tobias Fehenberger, Helmut Griesser, and Carmen Mas-Machuca
Quantum key distribution (QKD) has become a promising option for transmitting sensitive data due to the increased maturity of QKD devices and the threat scalable quantum computers imposes on asymmetric public-key cryptosystems. By utilizing existing infrastructure, e.g., amplifier huts and dark fibers, the cost and complexity of deploying QKD networks (QKDNs) can be reduced. In this study, we develop
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Physical-layer-aware multi-band optical network planning framework for rate-adaptive transceivers J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-04-09 Jasper Müller, Gabriele Di Rosa, Ognjen Jovanovic, Mario Wenning, Achim Autenrieth, Jörg-Peter Elbers, and Carmen Mas-Machuca
Flexible-grid elastic optical networks (EONs) have recently been widely deployed to support the growing demand for bandwidth-intensive applications. For cost-efficient scaling of the network capacity, multi-band systems are a promising solution. Optimized utilization of EONs is required to delay cost-extensive network upgrades and to lower cost and power consumption. Next-generation bandwidth-variable
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Local and global optimization methods for optical line control based on quality of transmission J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-04-08 Giacomo Borraccini, Stefano Straullu, Andrea D’Amico, Francesco Aquilino, Stefano Piciaccia, Alberto Tanzi, Gabriele Galimberti, and Vittorio Curri
The ever-increasing demand for data traffic in recent decades has pushed network operators to give importance to the aspect of infrastructure control to facilitate its scalability and maximize its capacity. A generic lightpath (LP) is deployed starting from a traffic request between a given pair of nodes in a network. LPs are operated in the network based on an estimate of the quality of transmission
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Scheme of carrier cooperation with coordinated scheduling for faster and lower-cost failure/disaster recovery J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-04-05 Sugang Xu, Subhadeep Sahoo, Sifat Ferdousi, Noboru Yoshikane, Masaki Shiraiwa, Yusuke Hirota, Massimo Tornatore, Takehiro Tsuritani, Yoshinari Awaji, and Biswanath Mukherjee
Large-scale carrier networks are fundamental ICT infrastructures that support future 5G/6G services, and their resilience is a primary societal concern. Differently from single-carrier networks (in which one carrier owns multiple networks), in multi-carrier network ecosystems (in which the networks in the fields are operated by different carriers), cooperation among such different carriers is crucial
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Beyond 100G three-dimensional flexible coherent PON with time, frequency, and power resource-allocation capabilities J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-04-05 Wangwei Shen, Guoqiang Li, Sizhe Xing, Zhongya Li, An Yan, Jiaye Wang, Nan Chi, and Junwen Zhang
Emerging services such as 8K/16K high-quality video streaming, virtual reality/augmented reality, beyond-5G mobile Internet, and edge computing are driving the need for even higher speed, capacity, and flexibility in optical access networks. Coherent passive optical networks (CPONs) have garnered significant attention in recent years due to their superior receiver sensitivity and high flexibility for
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On the detection, modeling, and mitigation of anomalous QoT fluctuations in optical networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-04-04 Camille Delezoide, Hassan Akbari, Petros Ramantanis, Fabien Boitier, and Patricia Layec
Monitoring data from deployed backbone networks shows that many lightpaths present large fluctuations of their quality of transmission (QoT), beyond 1 dB in range. In this paper, we investigate the hypothesis that the evidenced fluctuations stem from anomalies in polarization-dependent loss (PDL), equivalent to one large PDL element. We eventually propose and experimentally test a closed-loop automation
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Intent-based AI system in packet-optical networks towards 6G [Invited] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-04-03 Paola Iovanna, Marzio Puleri, Giulio Bottari, and Fabio Cavaliere
This paper presents an intelligent dynamic network optimization system for packet-optical transport networks as the industry moves towards 6G. Such a system leverages specific artificial intelligence techniques to dynamically manage the transport network, optimize resource allocation, and guarantee quality of services. A predictive and adaptive Markov decision process is defined by exploiting an ad
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Optimizing satellite and core networks for a global quantum network J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-03-29 Vasileios Karavias, Catherine White, Andrew Lord, and Michael C. Payne
Quantum key distribution (QKD) promises information theoretic security. However, the exponential decay of the secure key in optical fibers leads to limitations in long distance QKD distribution across fibers, which is necessary for global quantum networks (QNs). Satellite QKD can be used to generate keys over long distances bypassing fiber limitations and is thus a promising approach for global QNs
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Mapping-varied modulation with labeling optimization for secure transmission in mode-division-multiplexed fiber-optic systems J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-03-27 Yi Lei, Qi Lu, Bin Chen, and Zhongyi Guo
To improve the physical-layer security of mode-division multiplexing (MDM) systems, a simple security scheme named mapping-varied modulation (MVM) is proposed in this paper by combining cryptographic and information-theoretic security. Specifically, on top of the information-theoretic security provided by the less-conditioned wiretap channel due to the larger mode-dependent loss induced by fiber-bend
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Digital-twin-assisted meta learning for soft-failure localization in ROADM-based optical networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-03-20 Ruikun Wang, Jiawei Zhang, Zhiqun Gu, Memedhe Ibrahimi, Bojun Zhang, Francesco Musumeci, Massimo Tornatore, and Yuefeng Ji
Reconfigurable optical add/drop multiplexer (ROADM) nodes are evolving towards high-degree architectures to support growing traffic and enable flexible network connectivity. Due to the complex composition of high-degree ROADMs, soft failures may occur between both inter- and intra-node components, like wavelength selective switches and fiber spans. The intricate ROADM structure significantly contributes
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Flexible waveband routing node architecture for spatial-division and multi-band optical networks [Invited] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-03-21 Hiroshi Hasegawa
We propose a network architecture named flexible waveband routing (FWR) that adopts flexible path bundling and bundled path routing. This two-stage routing scheme can be implemented by a combination of small degree wavelength selective switches (WSSs) and optical matrix switches. As the optical-cross-connect (OXC) scale depends on just that of the matrix switches adopted, large-scale OXC nodes are
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Failure recovery in the MANTRA architecture with an IPoWDM SONiC node and 400ZR/ZR+ pluggables J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-03-19 Andrea Sgambelluri, Davide Scano, Roberto Morro, Filippo Cugini, Jordi Ortiz, José Manuel Martinez, Emilio Riccardi, Piero Castoldi, Pablo Pavon, and Alessio Giorgetti
The utilization of IP over wavelength division multiplexing (IPoWDM) boxes in optical networks introduces coordination issues at the control plane level between the optical and packet domains. Indeed, IPoWDM boxes are technically packet devices, but the configuration of coherent optical pluggables requires knowledge of optical network state information (e.g., wavelength availability). MANTRA (metaverse
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Simplified coherent optical network units for very-high-speed passive optical networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-03-19 Istvan Bence Kovacs, Md. Saifuddin Faruk, Pablo Torres-Ferrera, and Seb J. Savory
Future passive optical networks (PONs) for 200Gb/s/λ , and beyond, pose a significant technological challenge. The use of coherent technology in access networks provides a great solution based on concepts from mature technologies to achieve the speeds needed for very-high-speed PON (VHSP). In this paper, we provide an overview of the currently demonstrated technologies and propose a possible simplified
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Machine-learning-based technique to establish ASE or Kerr impairment dominance in optical transmission J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-03-18 Isaia Andrenacci, Matteo Lonardi, Petros Ramantanis, Élie Awwad, Ekhiñe Irurozki, Stephan Clémençon, and Sylvain Almonacil
Data extraction from optical networks has increased substantially with the evolution of monitoring and telemetry methods. Using data analysis and machine learning, this paper aims to derive insights from this data, contributing to the development of self-optimized optical networks. More particularly, it focuses on predicting the Kerr and amplified spontaneous emission dominance by examining the fluctuations
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Power-aware high-capacity elastic optical networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-03-15 Margita Radovic, Andrea Sgambelluri, Filippo Cugini, and Nicola Sambo
The power consumption of telecommunication equipment has been identified as a relevant contributor to global energy consumption. In fact, new-generation optical transponders employ power-intensive electronic application-specific integrated circuits (ASICs) for digital signal processing (DSP). DSP design has traditionally prioritized meeting transmission requirements over power consumption optimization
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Enabling seamless migration of optical metro-urban networks to the multi-band: unveiling a cutting-edge 6D planning tool for the 6G era J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-03-14 Farhad Arpanaei, José Manuel Rivas-Moscoso, Ivan De Francesca, José Alberto Hernández, Alfonso Sánchez-Macián, Mahdi Ranjbar Zefreh, David Larrabeiti, and Juan Pedro Fernández-Palacios
The relentless demand for high-bandwidth services and applications in the beyond-5G/6G era necessitates optical networks to provide ample spectral resources to accommodate the increasing traffic loads. This requirement is especially pronounced in metro and regional segments, where a projected traffic compound annual growth rate (CAGR) of over 40%, driven by content delivery network (CDN) traffic concentrated
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Large-scale quantum key distribution network simulator J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-03-12 Emir Dervisevic, Miroslav Voznak, and Miralem Mehic
The wide range of supported services in modern telecommunication networks has increased the demand for highly secure means of communication. Common security frameworks based on the computational security model are expected to become insecure due to significant advances in quantum computing. Quantum key distribution (QKD), a new secret key agreement primitive, enables long-anticipated practical inf
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Evolutionary neuron-level transfer learning for QoT estimation in optical networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-03-07 Yuhang Zhou, Zhiqun Gu, Jiawei Zhang, and Yuefeng Ji
To ensure the reliability and efficiency of lightpath transmission in optical networks, it is essential to predict the quality of transmission (QoT) of the candidate lightpaths before their deployment. An artificial neural network (ANN) becomes a promising solution for QoT estimation of lightpaths, owing to its powerful data fitting capability and scalability. As a supervised learning model, an ANN
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FrFT-based estimation of linear and nonlinear impairments using Vision Transformer J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-03-01 Ting Jiang, Zheng Gao, Yizhao Chen, Zihe Hu, and Ming Tang
To comprehensively assess the conditions of an optical fiber communication system, it is essential to implement joint estimation of the following four critical impairments: nonlinear signal-to-noise ratio (SNRNL ), optical signal-to-noise ratio (OSNR), chromatic dispersion (CD), and differential group delay (DGD). However, current studies only achieve identifying a limited number of impairments within
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Comparison and optimization of different routing methods for meshed QKD networks using trusted nodes J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-27 Tim Johann, Mario Wenning, Daniel Giemsa, Annika Dochhan, Matthias Gunkel, Tobias Fehenberger, and Stephan Pachnicke
Quantum key distribution (QKD) appears as a promising technique for encrypted communication, preserving security even in the presence of a future powerful quantum computer. At the same time, communication infrastructure becomes increasingly complex, and the exponentially increasing traffic volume makes the application of QKD a challenging task. In addition, current hardware for QKD modules is still
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PoT quantization and rotational update mechanism for optimizing equalization in passive optical networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-28 Bohan Sang, Yikai Wang, Jiaxuan Liu, Long Zhang, Kaihui Wang, Luhan Jiang, Jingtao Ge, Li Zhao, Wen Zhou, and Jianjun Yu
We propose a low-complexity real-time equalization scheme for passive optical networks (PONs), which provides equalization with similar performance and ultra-low digital signal processing (DSP) resource usage compared to traditional schemes in experimental verification. With the help of the proposed scheme, FIR equalizers with multiple taps can be equivalent to equalizers with only two active taps
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Switching in quantum networks: an optimization investigation J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-29 Vasileios Karavias, Andrew Lord, and Michael C. Payne
Quantum key distribution (QKD) promises information theoretic security. However, the distances over which complete security can be achieved are fundamentally limited in the absence of quantum repeaters. Thus, a key question is how to build a quantum network (QN) given this restriction. One paradigm that has been considered is trusted node (TN) quantum networks where intermediate trusted nodes are used
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Model and data-centric machine learning algorithms to address data scarcity for failure identification J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-26 Lareb Zar Khan, João Pedro, Nelson Costa, Andrea Sgambelluri, Antonio Napoli, and Nicola Sambo
The uneven occurrence of certain types of failures in optical networks results in a scarcity of data for less frequent failures, leading to imbalanced datasets for training machine learning (ML) models. This poses a significant bottleneck in terms of reliability and practical implementation of ML for failure management. Existing research works often overlook this aspect while demonstrating high accuracies
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Data-driven decision-making framework for optical fronthaul slice resizing in 6G networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-23 Nilton F. S. Seixas, Sabidur Rahman, and Gustavo B. Figueiredo
The third-generation partnership introduced three main types of slices: enhanced mobile broadband, massive machine-type communication, and ultrareliable low-latency communication. To accommodate these services, the next generation of mobile networks will require architecture with distinct requirements and network slices. To implement these services on an optical fronthaul, the slices will be hosted
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Fast and scalable all-optical network architecture for distributed deep learning J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-22 Wenzhe Li, Guojun Yuan, Zhan Wang, Guangming Tan, Peiheng Zhang, and George N. Rouskas
With the ever-increasing size of training models and datasets, network communication has emerged as a major bottleneck in distributed deep learning training. To address this challenge, we propose an optical distributed deep learning (ODDL) architecture. ODDL utilizes a fast yet scalable all-optical network architecture to accelerate distributed training. One of the key features of the architecture
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Design model of a twisted and folded Clos network with multi-step grouped intermediate switches guaranteeing admissible blocking probability J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-21 Haruto Taka, Takeru Inoue, and Eiji Oki
A future data center network is expected to be constructed by a Clos network consisting of optical-circuit switches to deal with traffic growth. A previous model addressed a Clos-network design problem that divides the set of intermediate switches by each role for request routing to guarantee an admissible blocking probability to maximize the switching capacity. However, the previous model divides
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Controlled node dialogue in IoT networks based on nonlocal orthogonal product states J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-20 Bichen Che, Shuntian Zheng, Zhao Dou, Xiubo Chen, Lixiang Li, Jian Li, and Yixian Yang
The rapid expansion of the Internet of Things (IoT) and advancements in quantum computing pose security challenges for IoT systems, encompassing classical attacks and quantum attacks. In this work, we concentrate on secure information exchange in the quantum IoT, mainly addressing the problem of establishing direct and secure quantum dialogue between two authorized IoT nodes located at a distance.
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Availability estimation of optical network links using a Bayesian model J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-15 Filippos Christou
Common daily activities rely on information exchange and processing. Optical fiber links are the predominant way for transmitting vast amounts of data, thus enabling processing in remote data centers. As critical use cases like autonomous driving and biomedical procedures start relying on such infrastructure, the system’s availability becomes even more relevant. Assessing the availability of an optical
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WR-enhanced TDM-PON with nanosecond clock and data recovery and picosecond time synchronization J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-16 Yisong Zhao, Xuwei Xue, Bingli Guo, Changsheng Yang, Ran Wen, Shikui Shen, Buzheng Wei, Daohang Dang, Yuanzhi Guo, Xiongfei Ren, Bin Chen, and Shanguo Huang
Access networks require higher bandwidth and throughput to handle rapidly increasing traffic. However, in the time-division multiplexing passive optical network (TDM-PON) system, improving system throughput in such a time-slotted network faces two technical challenges. First, because optical network units transmit packets with individual clock frequency, receivers at the optical line terminal side
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Photonic Gateway accommodating all types of wavelength paths for digital-coherent and IM-DD user terminals in all-photonic metro-access converged networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-16 Shin Kaneko, Manabu Yoshino, Naotaka Shibata, Ryo Igarashi, Jun-ichi Kani, and Tomoaki Yoshida
In access and metro networks, there is increasing demand for guaranteed wide-bandwidth and stringent/deterministic end-to-end latency characteristics. Converging these networks by expanding dense wavelength-division-multiplexed metro networks to access areas is a promising approach to satisfy this demand. An All-Photonics Metro-Access Converged Network (APN) dynamically and flexibly provides a wavelength
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Blockchain for the digital twin-driven autonomous optical network J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-15 Yue Pang, Min Zhang, Lifang Zhang, Jin Li, Wenbin Chen, Yidi Wang, and Danshi Wang
In recent years, optical networks have become increasingly large-scale and complex, resulting in mounting pressures on operation and maintenance management. The techniques of the artificial intelligence (AI)-driven digital twin (DT) have been applied to optical networks to pave the way for creating the self-optimizing and self-controlling autonomous optical network (AON). However, the AON is confronted
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100G FSO field trial with transmitter power adaptability using a LoRa feedback channel J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-14 Bruno T. Brandão, Marco A. Fernandes, Gil M. Fernandes, Nourdin Kaai, Alina Tomeeva, Bas van Der Wielen, John Reid, Daniele Raiteri, Fernando P. Guiomar, and Paulo P. Monteiro
The popularity of free-space optics (FSO) communications is rising as a key enabler for widespread communications since it can provide fiber-like connectivity to regions where fiber deployment is not feasible and radio-frequency (RF) technologies cannot comply with the bandwidth requirements. However, the reliability of FSO links is severely affected by fluctuations in the received optical power caused
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Parameter-free fiber coupling method for inter-satellite laser communications based on Gaussian approximation J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-09 Ziqiang Li, Ziting Pan, Yuting Li, Xu Yang, Feng Li, Chao Geng, and Xinyang Li
Satellite constellation networks play a pivotal role in making Beyond 5G services universally accessible to people worldwide. Inter-satellite laser communication is a crucial component of satellite communication networks. To utilize fiber amplifiers, it is imperative to couple the free-space optical beam into a single-mode fiber. However, vibrations and non-coaxial errors significantly impact coupling
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Resource allocation performance analysis and idle resource reallocation for FOV-limited indoor VLC networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-08 Yiming Zhou, Nuo Huang, and Zhengyuan Xu
Visible light communication (VLC) networks based on multiple access points (APs) have gained significant attention in enhancing indoor communication coverage and transmission capacity. Since interference can significantly impact the quality of VLC links, this paper investigates and compares the performance of three resource allocation (RA) schemes based on the user equipment (UE) location to avoid
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Deterministic passive optical networking J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-29 Kostas Christodoulopoulos, Sarvesh Bidkar, Wolfram Lautenschlaeger, Thomas Pfeiffer, and Rene Bonk
A time-division-multiplexed (TDM) passive optical network (PON) that behaves like multiple point-to-point (P2P) links can support applications with stringent timing requirements while also maintaining the cost benefits of the point-to-multipoint (P2MP) topology. This requires the TDM-PON to provide deterministic performance: lossless transmission and low and constant (with low variations/jitter) latency
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DRL-enabled cooperative free-space optical communication system with an elastic optical splitter J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-30 Yejun Liu, Xi Wang, Shasha Liao, Qiming Sun, Shuhua Feng, and Lei Guo
Cooperative communication has been widely studied as an effective technique for free-space optical (FSO) systems to combat the effects of atmospheric conditions and beam misalignment. Related works on cooperative FSO communication mostly used a fixed splitter to uniformly distribute optical power for broadcast transmission, which tends to cause the insufficient utilization of optical power when the
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B-ROS re-balanced learning method for PS-A-RoF FWA communication J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-31 Qihang Wang, Wen Zhou, Sicong Xu, Bohan Sang, Yuxuan Tan, and Tangyao Xie
The enhanced remote area communication (eRAC) scenario is an important growth point in the communication market. In some remote areas where optical fiber access cannot be realized or the laying cost is too high, fixed wireless access (FWA) is an appropriate supplementary solution for eRAC. Adopting analog radio over fiber (A-RoF) technology to implement FWA can overcome the bandwidth limitation of
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Applications of the OCATA time domain digital twin: from QoT estimation to failure management J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-01 M. Devigili, M. Ruiz, N. Costa, C. Castro, A. Napoli, J. Pedro, and L. Velasco
Optical in-phase and quadrature (IQ) constellations enclose valuable information regarding the optical elements traversed by the optical signal. Such information can be extracted and exploited by algorithms and models within an optical layer digital twin. In this paper, we investigate the feasibility of extracting information from IQ constellations and its use for both accurate quality of transmission
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Fast WDM provisioning with minimal probing: the first field experiments for DC exchanges J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-02-01 Hideki Nishizawa, Toru Mano, Thomas Ferreira de Lima, Yue-Kai Huang, Zehao Wang, Wataru Ishida, Masahisa Kawashima, Ezra Ip, Andrea D’Amico, Seiji Okamoto, Takeru Inoue, Kazuya Anazawa, Vittorio Curri, Gil Zussman, Daniel Kilper, Tingjun Chen, Ting Wang, Koji Asahi, and Koichi Takasugi
There are increasing requirements for data center interconnection (DCI) services, which use fiber to connect any DC distributed in a metro area and quickly establish high-capacity optical paths between cloud services and mobile edge computing and the users. In such networks, coherent transceivers with various optical frequency ranges, modulators, and modulation formats installed at each connection
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Demonstration of real-time jitter-buffered architecture that collects network information for deterministic optical communication J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-26 Yushi Koyasako, Takahiro Suzuki, Tomoya Hatano, Tatsuya Shimada, and Tomoaki Yoshida
Demand has been increasing for accurate remote motion control of IoT devices, but jitter can negatively impact control performance. Jitter buffering has been studied as a solution, but it is necessary to obtain delay values in real-time. In this study, we propose an architecture that collects end-to-end delay values in real-time, implements jitter buffering based on the obtained values, and implements
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Prediction-model-assisted reinforcement learning algorithm for handover decision-making in hybrid LiFi and WiFi networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-25 Dayrene Frometa Fonseca, Borja Genoves Guzman, Giovanni Luca Martena, Rui Bian, Harald Haas, and Domenico Giustiniano
The handover process in hybrid light fidelity (LiFi) and wireless fidelity (WiFi) networks (HLWNets) is very challenging due to the short area covered by LiFi access points and the coverage overlap between LiFi and WiFi networks, which introduce frequent horizontal and vertical handovers, respectively. Different handover schemes have been proposed to reduce the handover rate in HLWNets, among which
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Low-latency partial resource offloading in cloud-edge elastic optical networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-24 Bowen Chen, Ling Liu, Yuexuan Fan, Weidong Shao, Mingyi Gao, Hong Chen, Weiguo Ju, Pin-Han Ho, Jason P. Jue, and Gangxiang Shen
In the context of the rapid deployment of IoT, 5G, and cloud computing, numerous emerging applications demand efficient networked computing capacity for task offloading from mobile and IoT users. This paper focuses on the optimization of network resource allocation and reduction of end-to-end (E2E) latency through the strategic decision of whether and where to offload user requests in a cloud-edge
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QoT-aware tree selection, routing, modulation, and spectrum assignment for filterless EONs over the C + L-band J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-24 Mohammad Sadegh Ghasrizadeh, Farhad Arpanaei, and Hamzeh Beyranvand
Filterless optical networks (FONs) as an economical solution use passive couplers/splitters rather than expensive active filter devices. In this way, after intermediate and destination nodes, lightpaths are dropped and continued, which generates leakage signals in other links and wastes spectrum. Thus, designing efficient resource allocation in FONs by considering the leakage signals and their interfering
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Dynamic slicing of multidimensional resources in DCI-EON with penalty-aware deep reinforcement learning J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-23 Meng Lian, Yongli Zhao, Yajie Li, Avishek Nag, and Jie Zhang
With the increasing demand for dynamic cloud computing services, data center interconnections based on elastic optical networks (DCI-EON) require efficient allocation methods for spectrum, access IP bandwidth, and compute resources. Dynamic slicing of multidimensional resources in DCI-EON has emerged as a promising solution. However, improper reallocation of resources can diminish the benefits of slice
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Physical-layer impairment estimation for random bandwidth traffic J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-19 Yuxin Xu, Erik Agrell, and Maite Brandt-Pearce
Traffic demands in future elastic optical networks are expected to be heterogeneous with time-varying bandwidth. Estimating the physical-layer impairments (PLIs) for random bandwidth demands is important for cross-layer network resource provisioning. State-of-the-art PLI estimation techniques yield conservative PLI estimates using the maximum bandwidth, which leads to significant over-provisioning
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Experimental investigation of machine-learning-based soft-failure management using the optical spectrum J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-18 Lars E. Kruse, Sebastian Kühl, Annika Dochhan, and Stephan Pachnicke
The demand for high-speed data is exponentially growing. To conquer this, optical networks have undergone significant changes, getting more complex and versatile. The increasing complexity necessitates that the fault management be more adaptive to enhance network assurance. In this paper, we experimentally compare the performance of soft-failure management of different machine learning algorithms.
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Cost analysis of ultrawideband transmission in optical networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-17 André Souza, Bruno Correia, Antonio Napoli, Vittorio Curri, Nelson Costa, João Pedro, and João Pires
We examine the cost associated with increasing traffic on a reference transport network for both single- and multiband systems, with a total transmission bandwidth ranging from 4.8 to 20 THz (S2 + S1 + C + L-band, where S2 and S1 are the two halves of the S-band). The number and cost of amplifiers, transceivers, and fibers are considered. To ensure stable transmission power and simplified network management
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Hybrid radio-over-fiber transport system to support heterogeneous indoor mobile network environments J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-16 Sang-Rok Moon, Minkyu Sung, Eonsang Kim, Joon Ki Lee, Seung-Hyun Cho, and Joonyoung Kim
The recent advances in mobile network technologies are based on pioneering higher radio frequency ranges such as millimeter wave and (sub-)terahertz bands. Most likely, the simultaneous use of multiple bands of such high frequency as well as mid/low frequency ranges should be considered to implement heterogeneous mobile environments where diverse conventional and emerging applications can coexist.
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AI/ML-as-a-Service for optical network automation: use cases and challenges [Invited] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-12 Carlos Natalino, Ashkan Panahi, Nasser Mohammadiha, and Paolo Monti
In recent years, artificial intelligence/machine learning (AI/ML) has played a significant role in automating optical networks. Despite this, the methods for creating, deploying, and monitoring AI/ML models still rely heavily on human intervention and trial-and-error. AI/ML-as-a-Service aims at automating the processes associated with AI/ML models, reducing the need for human intervention and thus
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Flexible silicon photonic architecture for accelerating distributed deep learning J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-09 Zhenguo Wu, Liang Yuan Dai, Yuyang Wang, Songli Wang, and Keren Bergman
The increasing size and complexity of deep learning (DL) models have led to the wide adoption of distributed training methods in datacenters (DCs) and high-performance computing (HPC) systems. However, communication among distributed computing units (CUs) has emerged as a major bottleneck in the training process. In this study, we propose Flex-SiPAC, a flexible silicon photonic accelerated compute
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Exploring the benefits of using co-packaged optics in data center and AI supercomputer networks: a simulation-based analysis [Invited] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-08 Pavlos Maniotis and Daniel M. Kuchta
We investigate the advantages of using co-packaged optics in next-generation data center and AI supercomputer networks. The increased escape bandwidth offered by co-packaged optics provides multiple possibilities for building 50T switches and beyond, expanding the opportunities in both the data center and supercomputing domains. This provides network architects with the opportunity to expand their
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Efficient transport of enhanced CPRI fronthaul over PON [Invited] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-05 Jochen Maes, Sarvesh Bidkar, Michael Straub, Thomas Pfeiffer, and Rene Bonk
Passive optical networks (PONs) facilitate small-cell deployments. Back- and midhaul over PON is being deployed today. As opposed to point-to-point optics, PON extends the aggregation gain into the access domain. We explain the steps taken in the mobile and PON industries to enable efficient eCPRI fronthaul over PON. We explain how fronthaul has evolved into a bandwidth-efficient eCPRI and what mechanisms
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Optical access networks for fixed and mobile applications [Invited Tutorial] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-04 Yixiao Zhu and Weisheng Hu
Optical access networks are playing a more critical role in providing diverse emerging applications for human- and machine-type communications. With the ever-growing demand for higher capacity, higher fidelity, and massive connections, numerous innovative transmission schemes and digital signal processing algorithms have been proposed in a cost-effective way. Here, we focus on two main scenarios, namely
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Resilience enhancement in open network–cloud ecosystems through disaggregation and cooperation [Invited] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-03 Sugang Xu, Kiyo Ishii, Noboru Yoshikane, Subhadeep Sahoo, Sifat Ferdousi, Masaki Shiraiwa, Yusuke Hirota, Takehiro Tsuritani, Massimo Tornatore, Yoshinari Awaji, Shu Namiki, and Biswanath Mukherjee
To accommodate the growing demand for cloud services, telecom carriers’ networks and datacenter (DC) facilities form large network–cloud ecosystems (ecosystems for short) physically supporting these services. These large-scale ecosystems are continuously evolving and must be highly resilient to support critical services. Open and disaggregated optical-networking technologies promise to enhance the
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Higher-speed PONs based on data center technology and optics [Invited] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2024-01-02 Vincent Houtsma and Dora van Veen
Data center interconnects are currently the fastest growing market for optical interconnect technology and innovations. Data centers must upgrade their infrastructure regularly to keep up with increasing bandwidth demand from digital services. Successive Ethernet generations based on intensity-modulated direct-detection progressed to 50 GBd per lane and will reach 100 GBd per lane before the end of
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Introduction to the OFC 2023 Special Issue J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-20 Andrew Lord
Each year JOCN has the privilege of inviting the best optical networking papers presented at the Optical Fiber Communication Conference (OFC) for an extended write-up. The January and February issues of the journal include a Special Edition covering OFC 2023, and there are 15 excellent papers to explore between the two issues.
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Introducing a letter paper with open source data: editorial J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-19 Andrew Lord
The Editor-in-Chief introduces a new letter paper that includes open source optical network data.