样式: 排序: IF: - GO 导出 标记为已读
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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.
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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.
-
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
-
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.
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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.
-
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.
-
Coexistence in future optical access networks from an operator’s perspective [Invited] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-18 Fabienne Saliou, Gaël Simon, Stéphane Le Huérou, Philippe Chanclou, Jérémy Potet, Georges Gaillard, Ugo Percevault, Dylan Chevalier, Joseph Zandueta, Bo Yang, Christos Vagionas, Marios Gatzianas, Georgios Kalfas, Theodoros Moschos, Amalia Miliou, and Nikos Pleros
In this paper, we address the challenges related to the simultaneous operation of legacy and future network technologies in passive optical networks (PONs) and point-to-point topologies. We explore the coexistence issues for various user categories, including residential, enterprise, factories, and mobile users. The future access networks will need to accommodate multiple technologies concurrently
-
Clock synchronizing radio access networks to picosecond precision using optical clock distribution and clock phase caching J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-19 Kari A. Clark, Zichuan Zhou, and Zhixin Liu
Performing positioning of future mobile devices using trilateration through radio access networks would provide a robust alternative to currently used global navigation satellite systems. However, the positioning accuracy is strongly dependent on the time synchronization accuracy of the antennas used as location reference points. Consequently, achieving sub-30 cm positioning accuracies requires the
-
Open-source data for QoT estimation in optical networks from Alibaba J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-19 Zhiqun Zhai, Liang Dou, Yan He, Alan Pak Tao Lau, and Chongjin Xie
There has been a lot of effort in our industry to develop analytical and numerical models for accurate estimation of quality of transmission (QoT), which is essential to efficiently design and operate optical transport networks. However, most researchers do not have access to real optical network data to validate and improve their models. We provide data from our production optical transport network
-
Non-integer-oversampling digital signal processing for coherent passive optical networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-20 Haide Wang, Ji Zhou, Jinyang Yang, Jianrui Zeng, Weiping Liu, Changyuan Yu, Fan Li, and Zhaohui Li
Beyond 100G passive optical networks (PONs) will be required to meet the ever-increasing traffic demand in the future. Coherent optical technologies are the competitive solutions for the future beyond 100G PON but also face challenges such as the high computational complexity of digital signal processing (DSP). A high oversampling rate in coherent optical technologies results in the high computational
-
Improving the accuracy of QoT estimation with insertion loss distribution evaluation for C + L band transmission systems J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-20 Jing Zhou, Jianing Lu, and Changyuan Yu
The accuracy of quality of transmission (QoT) estimation is crucial for software-defined optical networks (SDONs), where network planning and system management of the centralized controller depend on reliable performance evaluation. The insertion loss (IL) commonly exists along the light path between the transmitter side (Tx) and the receiver side (Rx) in fiber optical transmission systems, and the
-
Designing high-speed GEO-to-Moon optical wireless communication links J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-21 E. Ciaramella, V. Spirito, and G. Cossu
Moon exploration and colonization will strongly rely upon high-speed optical wireless communications over a huge distance (around 400,000 km). Here, we introduce a holistic model, including the propagation issues as well as the realistic communication limitations and the expected practical limitations. We focus on the communication issues in a link connecting a GEO satellite to a fixed Moon optical
-
Noise-aware resource allocation with integrated key generation and consumption for CV-QKD over WDM networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-21 Shifeng Ding, Gangxiang Shen, Fengxian Tang, and Calvin Chun-Kit Chan
Continuous-variable quantum key distribution (CV-QKD) has been regarded as a promising approach to secure optical communications over wavelength division multiplexing (WDM) networks. Conventionally, the key generation and the key consumption were considered separately, thus potentially leading to a possible mismatch between them and significantly degrading the network efficiency. A few studies considered
-
Joint fiber and MEC deployment for sparsely populated areas J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-22 Camilo Anzola-Rojas, Ignacio de Miguel, Juan Carlos Aguado, Noemí Merayo, Patricia Fernández, and Ramón J. Durán Barroso
The deployment of multi-access edge computing (MEC) networks gives rise to the MEC placement problem, which deals with finding the right server locations to reduce the cost and guarantee network performance. Multiple papers have been presented to solve this problem, but they are usually oriented to urban areas where short distances and high-quality network infrastructure are assumed. When this problem
-
End-to-end deep learning for a flexible coherent PON with user-specific constellation optimization J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-22 Sizhe Xing, Zhongya Li, Changle Huang, Guoqiang Li, Aolong Sun, An Yan, Wangwei Shen, Jianyang Shi, Ziwei Li, Chao Shen, Nan Chi, and Junwen Zhang
A flexible coherent passive optical network (FLCS-CPON) is a promising solution for the future access network. By offering increased speed, sensitivity, and flexibility, it enables more efficient utilization of network resources and allows for serving a larger number of users. However, the past studies often overlook the flexibility of channel equalization. In the FLCS-CPON, customized rate optimization
-
Reinforcement-learning-based path planning in multilayer elastic optical networks [Invited] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-15 Takafumi Tanaka
This paper reports our study on the multilayer path (MLP) planning method in multilayer networks to achieve the flexible accommodation of large-capacity and diversified traffic. In addition to traffic grooming of sub-lambda paths, MLP design requires optimal selection of the operational mode. In this paper, we discuss MLP design methods that use reinforcement learning and auxiliary graphs to achieve
-
Optical satellite network architecture [Invited Tutorial] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-14 Vincent W. S. Chan
This paper addresses the architecture of optical satellite networks from the physical to the transport and application layers. New frontiers exist for much more research before an efficient architecture can be constructed. Optical wireless networks have the potential to serve space–space, space–terrestrial/aircraft, and aircraft–aircraft data centers and metropolitan area networks. Though the technology
-
Modoru: Clos nanosecond optical switching for distributed deep training [Invited] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-13 Cen Wang, Noboru Yoshikane, Daniel Elson, Yuta Wakayama, Daiki Soma, Shohei Beppu, and Takehiro Tsuritani
Distributed deep training has become a significant consumer of bandwidth across datacenter-scale networks. The diverse parallel strategies employed in deep training require different communication patterns, necessitating the periodic adaptation of dynamic topologies. Since electrical switching approaches its capacity limit due to high bandwidths and has difficulties in regard to topology adaptation
-
ZR 400 Gbit/s and 800 Gbit/s use cases, trials, deployments, and future prospects [Invited] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-07 R. P. Davey, M. A. Iqbal, and P. D. Wright
As bandwidth grows operators are moving from 100 Gbit/s to 400 Gbit/s ports on core routers with wavelengths on underlying transmission also increasing to 400 Gbit/s and higher. Developments in pluggable coherent optical transceivers such as ZR optics present different optical layer architectures: pluggable coherent transceivers inserted into the router versus external transponders and “hop-by-hop”
-
High-speed reach-extended IM-DD system with low-complexity DSP for 6G fronthaul [Invited] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-06 Paikun Zhu, Yuki Yoshida, Kouichi Akahane, and Ken-ichi Kitayama
With the rising traffic demand from the metaverse, holographic communications, and so on, in beyond-5G (B5G)/6G cloud radio access networks (C-RANs), fronthaul (FH) networks that transport radio information between antennas and distributed/central units will become increasingly demanding. Optical technologies are indispensable in supporting 6G FH deployment, which needs to be high-speed and power/cost-effective
-
Optical switching will innovate intra data center networks [Invited Tutorial] J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-04 Ken-ichi Sato
Reflecting the recent slow-down in Moore’s law and the proliferation of artificial intelligence/machine learning workloads, the performance and energy consumption of networks are becoming barriers in high-performance computing (HPC) and data centers. Optical switches are expected to break these barriers, and indeed their introduction has recently commenced in data centers. This paper discusses how
-
Load-balancing routing algorithms for service congestion avoidance in LEO optical satellite networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-12-01 Yunxiao Ning, Longteng Yi, Yongli Zhao, Kaiqiang Qi, Hua Wang, Sabidur Rahman, and Jie Zhang
The low-Earth-orbit optical satellite network (LOSN) is an attractive solution to realize the end-to-end service quality of large-scale services, and it is the basis of establishing the 6G mobile network with high throughput and high reliability. However, the current LOSN is practically unable to achieve such high throughput for global service access. First, the centralized deployment of ground gateways
-
Pre- and post-processing techniques for reinforcement-learning-based routing and spectrum assignment in elastic optical networks J. Opt. Commun. Netw. (IF 5.0) Pub Date : 2023-11-30 Takafumi Tanaka and Masayuki Shimoda
Research on the routing and spectrum assignment (RSA) problem has long been conducted with the aim of efficiently utilizing the frequency resources of optical networks. Given the recent progress in machine learning (ML) technology, it has been reported that the application of ML in various areas of optical network design, operation, and management has the potential to bring about new innovations such