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检索条件"任意字段=International Conference on Optical Network Design and Modeling"

共 29278 条记录，以下是41-50 订阅

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Anlu NP: The Abstract Level modeling of network Processor for Agile Hardware design 5

Anlu NP: The Abstract Level Modeling of Network Processor fo...

引用

5th international conference on Computer Engineering and Application (ICCEA)

作者： Yue, Shipeng Liang, Honghao Tsinghua Univ Data & Informat Res Inst Beijing Peoples R China Sun Yat Sen Univ Sch Elect & Informat Technol Guangzhou Peoples R China

ISBN: (纸本)9798350386783;9798350386776

As chip architectures become more and more complex, traditional system-level and function-level simulation brings problems such as difficulty in debugging and slow speed in execution. In this paper, we propose an abstract-level simulation model for a network processor, which ignores most hardware and functional details. It only focuses on the components that are decisive for network system performance. As a result, we significantly reduced the modeling complexity of network processors and accelerated simulations by 5 to 8 times. This provides an efficient approach for agile hardware design and architecture exploration of network processors.

关键词： network processors system-level design simulation model agile hardware design router

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Next-Gen Green networking: Fusing Power-over-Fiber and Solar Harvesting in 6G C-RAN scenarios

Next-Gen Green Networking: Fusing Power-over-Fiber and Solar...

引用

international conference on optical network design and modeling (ONDM)

作者： Moreno Muro, Francisco Javier Otero Perez, Gabriel Fernandez Sanchez, Enrique Larrabeiti Lopez, David Fernandez-Palacios Gimenez, Juan Pedro Pavon Marino, Pablo Vazquez Garcia, Carmen E Lighthouse Network Solut Cartagena Spain Univ Carlos III Madrid Madrid Spain Tel I D Madrid Spain Univ Politecn Cartagena Cartagena Spain

ISBN: (纸本)9783903176621;9798350351132

This paper presents a groundbreaking approach to energy management in 6G Cloud Radio Access networks (C-RAN) by integrating Power-over-Fiber (PoF) and solar harvesting technologies to power-feed femtocells. We explore how these innovations can significantly enhance energy efficiency, performance, and sustainability in 6G networks. Our work introduces a smart green-energy management methodology, focusing on fusing PoF and solar harvesting sources, and evaluates their impact on network performance in terms of throughput and energy usage optimization. Through simulations, we demonstrate the potential of the usage of solar energy in reducing the carbon footprint of 6G C-RAN scenarios, while maintaining high levels of network reliability, availability, and performance under different weather conditions. Furthermore, simulation results show that the combination of femtocell feed-in of PoF and solar harvesting technologies serves up to 11,6% additional traffic throughput compared to no solar harvesting, harnessing up to 6.7% additional green energy in the femtocells. This research paves the way for more sustainable and efficient 6G wireless networks.

关键词： Power-over-Fiber C-RAN solar harvesting green energy management

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Digital-Twin of Physical-Layer as Enabler for Open and Disaggregated optical networks

Digital-Twin of Physical-Layer as Enabler for Open and Disag...

引用

27th international conference on optical network design and modeling (ONDM)

作者： Curri, Vittorio Politecn Torino Dept Elect & Telecommun DET Corso Duca degli Abruzzi 24 I-10129 Turin Italy

ISBN: (纸本)9783903176546

The physical layer in optical networks is a set of transparent optical circuits - light-paths (LP)s - that has been extensively shown as reliably approximated by additive white and Gaussian noise channels. Noise sources setting the LP generalized SNR (GSNR) are the ASE noise from amplifiers, the nonlinear interference (NLI) from the Kerr effect and crosstalk from ROADMs. Coherent transceivers can be effectively modeled by the back-to-back characterization by defining the GSNR thresholds. We will describe the physics behind such approximation including the statistical impairments due the PMD, PDL and filtering penalties, and other uncertainties. Then, we will show how the physical layer digital twin (PHY-DT) that integrates the transmission impairment models can be exploited to reliably evaluate the QoT, latency and energy consumption on the topology. Finally, we will comment on the possible use of the PHY-DT as vendor neutral planning tool for disaggregated infrastructure and as on-line service within the multi-layer hierarchical controller. The optical devices controller can be separated from the optical circuit deployment, so enabling multi-vendor networks. We will also comment on the synergistic use of AI&ML techniques assisting the PHY-DT.

关键词： Transmission modeling Open optical network design and Control Digital Twin SDN

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Wideband Transmission in Low Core-Count Multi-Core Fibers

Wideband Transmission in Low Core-Count Multi-Core Fibers

引用

27th international conference on optical network design and modeling (ONDM)

作者： Puttnam, Ben Luis, Ruben Rademacher, Georg Awaji, Yoshinari Furukawa, Hideaki NICT Photon Network Lab 4-2-1 Nukui Kitamachi Koganei Tokyo 1848795 Japan

ISBN: (纸本)9783903176546

We explore S, C + L-band transmission in low-core count multi-core fibers (MCFs). After reviewing progress in wideband transmission demonstrations in both SMF and MCFs we focus on two experiments demonstrating 57 km, 1 Pb/s transmission with 20 THz transmission bandwidth and 319 Tb/s transmitted over 3000 km in a 4-core MCF with standard cladding diameter. Finally, we briefly explore the potential benefit of increased spectral efficiency in MCF transmission by exploiting reduced (IC-XT) at lower wavelengths.

关键词： Space-division multiplexing multi-core fibers wideband transmission multi-band transmission

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Experimental Assessment of Reversibility-Aware Deep Reinforcement Learning for optical Data Center network Reconfiguration

Experimental Assessment of Reversibility-Aware Deep Reinforc...

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27th international conference on optical network design and modeling (ONDM)

作者： Sica, Massimiliano Singh, Sandeep Kumar Proietti, Roberto Tornatore, Massimo Ben Yoo, S. J. Univ Calif Davis Dept Elect & Comp Engn Davis CA 95616 USA Politecn Torino Dept Elect & Telecommun I-10129 Turin Italy Politecn Milan Dept Elect Informat & Bioengn I-20133 Milan Italy

ISBN: (纸本)9783903176546

The performance of communication-intensive distributed machine learning (DML) workloads and other emerging applications can suffer from a traffic-topology mismatch in traditional data-center networks. This degradation can be alleviated by performing a logical network topology reconfiguration. However, how to dynamically reconfigure the logical topology and steer the bandwidth efficiently with a control plane capable of efficiently adapting to the current data center traffic patterns without considerable overhead is still an open question. This paper presents a reversibility-aware deep reinforcement learning algorithm (RA-DRL) for optical switch reconfiguration in data center networks and validates it in an experimental testbed. Using our testbed, we show that appropriate optical-switch reconfiguration, driven both by a baseline DRL and an RADRL method, can improve the training performance of DML workloads under network congestion. More importantly, by incorporating the concept of reversibility in the training of the DRL agent, we demonstrate a 5x training-time decrease for a distributed computer-vision application and an improvement in convergence time by up to 64%.

关键词： optical switches

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Approaches to Simulating Meta-surfaces for Flat optical Devices: The Transition to Solutions Based on Neural networks

Approaches to Simulating Meta-surfaces for Flat Optical Devi...

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international conference on Simulation of Semiconductor Processes and Devices (SISPAD)

作者： Rideau, Denis Le Grand, Mathys Fernandez Mouron, Louis Henri Serradeil, Valerie Tremas, Loumi Urard, Pascal Maitre, Damien Mohamad, Habib Dilhan, Lucie Carnemolla, Enrico Giuseppe Fissore, Matteo Downing, James Rae, Bruce STMicroelectronics 850 Rue J Monnet BP16 F-38926 Crolles France STMicroelectronics 12 Rue J Horowitz F-38019 Grenoble France STMicroelectronics 1Tanfield Edinburgh Midlothian Scotland Univ Paris 09 Pl Marechal Lattre de Tassigny F-75775 Paris France IOGS Univ Paris Saclay 2 Av Augustin Fresnel F-91120 Palaiseau France

ISBN: (纸本)9798331516369;9798331516352

Following a summary of the constraints associated with simulations using pillar-wise-based methods to design meta-surfaces, we will present our latest progress in the domain of simulating large scale meta-surfaces, including convolutional neural network-driven emulations. We highlight the significance of accurately modeling the impact of the interaction between the pillars in a meta-surface, which enables the elimination of meta-surface designs with poor optical performances (e.g. zeroth orders in a beam shaper) during the design verification stages.

关键词： Meta-surface Neural network Flat optics Beam shaper Meta-lenses Meta-diffuser

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A SDN-Controlled High-Performance optical network for Datacenters 13

A SDN-Controlled High-Performance Optical Network for Datace...

引用

13th IFIP/IEEE international conference on Performance Evaluation and modeling in Wired and Wireless networks (PEMWN)

作者： Riadi, Salek Ibn Zohr Univ Higher Sch Technol Laayoune Math Engn & Comp Sci Lab Laayoune Morocco

ISBN: (纸本)9798331515935;9783903176690

Datacenter is a big computing infrastructure that aims to reduce operating costs and energy consumption. Software-Defined networking (SDN) is a novel approach of networking that seeks to segregate control plane from data plane in order to reduce the complexity of network resource management. optical Burst Switching (OBS) is an energy-efficient switching technology that offers flexibility to support datacenter traffic. OBS separates also control and data planes and can be the most compatible optical switching paradigm with SDN. This paper proposes an optical datacenter network architecture based on OBS and aligned with SDN specifications. The results obtained from simulation demonstrate the efficacy of this architecture, achieving zero burst loss, high throughput, and low burst delay.

关键词： OBS SDN intra-datacenter networks performance evaluation

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DyCroNO: Dynamic Cross-layer network Orchestration and Real-time Deep Learning-based network Load Prediction

DyCroNO: Dynamic Cross-layer Network Orchestration and Real-...

引用

27th international conference on optical network design and modeling (ONDM)

作者： Karanam, Venkat Sai Suman Lamba Ramamurthy, Byrav Univ Nebraska Lincoln Sch Comp Lincoln NE USA

ISBN: (纸本)9783903176546

In this paper, we present Dynamic Cross-layer network Orchestration (DyCroNO), a dynamic service provisioning and load balancing mechanism for IP over optical networks. DyCroNO comprises of the following components: i) an end-end (E2E) service provisioning and virtual path allocation algorithm, ii) a lightweight dynamic bandwidth adjustment strategy that leverages the extended duration statistics to ensure optimal network utilization and guarantee the quality-of-service (QoS), and iii) a load distribution mechanism to optimize the network load distribution at runtime. As another contribution, we design a real-time deep learning technique to predict the network load distribution. We implemented a Long Short-Term Memory-based (LSTM) method with a sliding window technique to dynamically (at runtime) predict network load distributions at various lead times. Simulations were performed over three topologies: NSFNet, Cost266 and Eurolarge using real-world traffic traces to model the traffic patterns. Results show that our approach lowers the mean link load and total resources significantly while improving the resource utilization when compared to existing approaches. Additionally, our deep learning-based method showed promising results in load distribution prediction with low root mean squared error (RMSE) and similar to 90% accuracy.

关键词： IP over optical networks Software-defined network Load distribution Real-time Deep Learning

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Environmental Impact of Coherent Point-to-Multipoint Pluggables in Metro Aggregation optical networks

Environmental Impact of Coherent Point-to-Multipoint Pluggab...

引用

27th international conference on optical network design and modeling (ONDM)

作者： Masoud, Fady Napoli, Antonio Castro, Carlos Pedro, Joao Spinnler, Bernhard Chase, Aaron Hillerkuss, David Welch, Dave Infinera Ottawa ON Canada Infinera Munich Germany Infinera Carnaxide Portugal Infinera San Jose CA USA

ISBN: (纸本)9783903176546

The environmental impact of telecommunications is becoming increasingly relevant in our society as more data are transmitted every day. On the one hand, telecommunication networks help, for example, by reducing the number of travels and visits;on the other hand, the energy consumed by the network elements and devices is reaching unprecedented levels as a consequence of the growing bandwidth demand needed by novel applications and services. In this contribution, we analyze key metrics to estimate the energy efficiency, in building an optical network, of several types of optical transceivers when employed in the most common topologies of metro aggregation networks, i.e., horseshoes, rings, and hub-and-spoke. We considered three different types of coherent pluggable modules: (i) 400G ZR point-to-point (P2P);(ii) 400G ZR+ P2P;and (iii) 100G/400G point-to-multipoint (P2MP) which can be enabled by digital subcarrier multiplexing (DSCM). We show that the P2MP approach needs-due to its inherent flexibility and the ability to simplify network design-the lowest number of devices, and consequently the lowest amount of CO2 emissions among the three considered metro aggregation network scenarios.

关键词： Point-to-multipoint optical network coherent technology optical aggregation digital subcarrier multiplexing

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Forward electromagnetic modeling and inverse design of etch cylindrical holes using physics informed neural network 2

Forward electromagnetic modeling and inverse design of etch ...

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2nd international Academic conference on Optics and Photonics, IACOP 2024

作者： Xiao, Li Li, Renxian Tang, Huan Jiao, Yuexiao Shi, Zhuoyuan Zhang, Yuan Wei, Bing Gong, Shuhong Yang, Ruiping Minin, Igor V. Minin, Oleg V. School of Physics Xidian University Xi'an710071 China School of Physics and Electrical Engineering Weinan Normal University Weinan714099 China Siberian State University of Geosystems and Technologies Novosibirsk630108 Russia Novosibirsk Branch of Rzhanov Institute of Semiconductor Physics SBRAS "Technological Design Institute of Applied microelectronics" Lavrentieva ave. 2/1 Novosibirsk630090 Russia

ISBN: (数字)9781510688827

ISBN: (纸本)9781510688810

This paper discusses the forward modeling and inverse design of the electromagnetic scattering characteristics of two-dimensional etched holes in the nanometre band based on the physics-informed neural network (PINNs). This study focuses on the electromagnetic behavior of randomly etched holes at micro- and nanoscales. It presents a novel approach for accurately calculating and optimizing the electromagnetic scattering characteristics of etched holes. This is achieved by skillfully integrating the simplified Finite-Difference-Frequency-Domain (FDFD) difference matrix and PINNs technology. The findings demonstrate the powerful potential and innovative applications of PINNs in solving complex electromagnetic problems. © 2025 SPIE.

关键词： Inverse problems

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