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All-fiber high-resolution computational spectropolarimeter based on speckle pattern

Chinese Optics Letters 2024年第12期22卷 95-100页

作者： Qianyu Zhou Yangyang Wan Xinyu Fan Zuyuan He State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong UniversityShanghai 200240China

The lightwave field possesses several dimensional properties,including amplitude,spectrum,phase,and *** measurements of lightwaves have diverse applications ranging from remote sensing to analytical ***,achieving high-resolution simultaneous multi-dimensional measurement of lightwaves remains *** this work,we demonstrate an all-fiber spectropolarimeter based on a speckle pattern obtained from the end of a multi-mode *** proposed system simultaneously achieves a spectral resolution of 100 pm and a polarization resolution of *** polarization measurement errors for three Stokes parameters are 3.37%,1.01%,and 0.84%,respectively,with a mean squared error of 5.3×10^(-5).This work provides novel potential for high-resolution and accurate multi-dimensional lightwave field measurements.

关键词： spectropolarimeter speckle pattern multi-mode fiber

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Learnable digital signal processing:a new benchmark of linearity compensation for optical fiber communications

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Light(Science & Applications) 2024年第9期13卷 1931-1943页

作者： Zekun Niu Hang Yang Lyu Li Minghui Shi Guozhi Xu Weisheng Hu Lilin Yi State Key Lab of Advanced Optical Communication Systems and Networks School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240PR China

The surge in interest regarding the next generation of optical fiber transmission has stimulated the development of digital signal processing(DSP)schemes that are highly cost-effective with both high performance and low *** benchmarks for nonlinear compensation methods,however,traditional DSP designed with block-by-block modules for linear compensations,could exhibit residual linear effects after compensation,limiting the nonlinear compensation *** we propose a high-efficient design thought for DSP based on the learnable perspectivity,called learnable DSP(LDSP).LDSP reuses the traditional DSP modules,regarding the whole DSP as a deep learning framework and optimizing the DSP parameters adaptively based on backpropagation algorithm from a global *** method not only establishes new standards in linear DSP performance but also serves as a critical benchmark for nonlinear DSP *** comparison to traditional DSP with hyperparameter optimization,a notable enhancement of approximately 1.21 dB in the Q factor for 400 Gb/s signal after 1600 km fiber transmission is experimentally demonstrated by combining LDSP and perturbation-based nonlinear compensation *** from the learnable model,LDSP can learn the best configuration adaptively with low complexity,reducing dependence on initial *** proposed approach implements a symbol-rate DSP with a small bit error rate(BER)cost in exchange for a 48%complexity reduction compared to the conventional 2 samples/symbol *** believe that LDSP represents a new and highly efficient paradigm for DSP design,which is poised to attract considerable attention across various domains of optical communications.

关键词： fiber signal optical

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Experimental Realization of Complex Tensor Convolution in Photonic Frequency Synthetic Dimensions

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Journal of Lightwave Technology 2025年第11期43卷 5374-5380页

作者： Guo, Jiayuan Zhang, Wenjia Jiang, Yue He, Zuyuan Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai200240 China

Tensor convolution is important for feature extraction of high-dimensional data in realistic scenarios to obtain fine, high-dimensional features. Photonic convolution in the synthesis frequency dimension, utilizing the dynamics of photons in the spectral degrees of freedom, results in highly compact devices with highly scalab.e and flexible configuration capabilities. We propose a complex convolution in photonic frequency synthetic dimensions and an arbitrary complex convolution kernel realizing by adding the convolution results of the even-symmetric and the odd-symmetric kernel. We experimentally demonstrate optical complex convolution kernels based on the synthesized frequency, and the complex convolution calculation with the peak speed up to 1.137 TOPS between the input frequency comb about 2000 programmable frequencies and the synthesized kernel at a rate of 2.9 M frame-per-second. © 2025 IEEE. All rights reserved.

关键词： Convolution

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Reconfigurable Fiber-Optic Time Transfer Network Architecture Based on SD-TTU

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IEEE Internet of Things Journal 2025年第11期12卷 15736-15747页

作者： Xie, Kunfeng Yang, Yansong Wang, Long Hu, Liang Chen, Jianping Wu, Guiling Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai200240 China

Network architectural is indispensable for a wide-area and robust fiber-optic time transfer network, however, there is currently a deficiency in effective scheme. This paper proposed a reconfigurable fiber-optic time transfer network architecture based on Software-Defined time transfer units, enhancing the network's capability for flexible resource allocation, automatic protection and restoration. The architecture consists of three layers: (1) Time Transfer Layer for time signal transmission and clock difference cancellation;(2) Monitor & Control Layer for monitoring network states, fault detection, and dynamic reconfiguration of the Software-Defined time transfer units;(3) Service & Configuration Layer for customizable service construction and proactive network reconfiguration. A polymorphic Software-Defined time transfer unit is further designed, which can operate as a master station, intermediate station, and slave station using the same hardware. The proposed architecture and the designed Software-Defined time transfer unit are experimentally demonstrated over chained and ring networks, respectively. Network expansion, contraction, topology reconfiguration, failure and fault recovery are validated. The changes of measured mean clock differences are below 43 ps across different scenarios, verifying the robustness and flexibility of the proposed architecture. © 2014 IEEE.

关键词： Clocks

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Analog spatiotemporal feature extraction for cognitive radio-frequency sensing with integrated photonics

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Light(Science & Applications) 2024年第3期13卷 478-487页

作者： Shaofu Xu Binshuo Liu Sicheng Yi Jing Wang Weiwen Zou State Key Laboratory of Advanced Optical Communication Systems and Networks Intelligent Microwave Lightwave Integration Innovation Center(imLic)Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghaiChina

Analog feature extraction(AFE)is an appealing strategy for low-latency and efficient cognitive sensing systems since key features are much sparser than the Nyquist-sampled ***,applying AFE to broadband radio-frequency(RF)scenarios is challenging due to the bandwidth and programmability bottlenecks of analog electronic ***,we introduce a photonics-based scheme that extracts spatiotemporal features from broadband RF signals in the analog *** feature extractor structure inspired by convolutional neural networks is implemented on integrated photonic circuits to process RF signals from multiple antennas,extracting valid features from both temporal and spatial *** of the tunability of the photonic devices,the photonic spatiotemporal feature extractor is trainable,which enhances the validity of the extracted ***,a digital-analog-hybrid transfer learning method is proposed for the effective and low-cost training of the photonic feature *** validate our scheme,we demonstrate a radar target recognition task with a 4-GHz instantaneous *** results indicate that the photonic analog feature extractor tackles broadband RF signals and reduces the sampling rate of analog-to-digital converters to 1/4 of the Nyquist sampling while maintaining a high target recognition accuracy of 97.5%.Our scheme offers a promising path for exploiting the AFE strategy in the realm of cognitive RF sensing,with the potential to contribute to the efficient signal processing involved in applications such as autonomous driving,robotics,and smart factories.

关键词： scheme driving smart

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Performance Improvement of Adaptive N-Square PS-QAM Based on LUT for Flexible Coherent PON

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Journal of Lightwave Technology 2025年第12期43卷 5569-5578页

作者： Lin, Gengming Zhu, Yixiao Yan, Zijun Cheng, Ziyu Zhuge, Qunbi Hu, Weisheng Shanghai Jiao Tong University State Key Lab of Advanced Optical Communication Systems and Networks School of Electronic Information and Electrical Engineering Department of Electronic Engineering Shanghai200240 China

Flexible coherent passive optical network (PON) is recognized as an advanced capacity optimization strategy for beyond 100G PON due to its flexibility and adaptability, which are pivotal for the evolution of high-capacity optical access networks. In this study, we propose an adaptive N-square QAM scheme compatible with probabilistic shaping (PS), enabling a more continuous variation of shaping entropy compared to standard 2M-QAM shaping scheme and improved frequency offset estimation (FOE) accuracy in blind 4th-power Fast-Fourier-transform (FFT) algorithm. In experimental demonstrations, dynamic-range and data-rate product (DRDRP) of uniform N2-QAM surpasses that of uniform 2M-QAM by 86 dB·Gbps. The DRDRP of PS N2-QAM also outperforms that of PS 2N-QAM by around 41 dB·Gbps. The development of PON optimization scheme for multi-carrier transmission is achieved through the generation of a look-up table (LUT) based on channel signal-to-noise ratio (SNR) conditions. The feasibility of the LUT is demonstrated under different super-Gaussian filter parameter settings at the back-to-back (B2B) scenario. After 20-km standard single-mode fiber (SSMF) transmission, the normalized generalized mutual information (NGMI) is greater than 0.985 across four subcarriers with varying received optical power (ROP) from -16 to -11 dBm. © 2025 IEEE.

关键词： Single mode fibers

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Comparison of MLSD and M-BCJR for 1.6T Data-Center Interconnects with Brick-wall Bandwidth Limitation

Comparison of MLSD and M-BCJR for 1.6T Data-Center Interconn...

引用

2024 Asia communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and optical communications, IPOC 2024

作者： Huang, Dangui Zhu, Yixiao Fang, Xiansong Hu, Yimin Zhang, Yikun Zhang, Chenbo Xie, Xiaopeng Zhang, Fan Hu, Weisheng State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China State Key Laboratory of Advanced Optical Communication Systems and Networks Peking University Beijing China

ISBN: (纸本)9798350379266

We experimentally demonstrate single-wavelength 1.6-Tb/s(=8×200Gb/s) data-center interconnects over a 1-km 8-core MCF link. We compare the performance of MLSD and M-BCJR algorithms for FTN transmission under brick-wall bandwidth limitation. The MLSD algorithm achieves 10.19% BER decrease compared with M-BCJR under 40-GHz bandwidth limitation. © 2024 IEEE.

关键词： Bandwidth

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Integrated spatial photonic XY Ising sampler based on a high-uniformity 1 × 8 multi-mode interferometer

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Photonics Research 2025年第05期 1419-1427页

作者： XIN YE WENJIA ZHANG ZUYUAN HE State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University

Spatial photonic Ising machines, as emerging artificial intelligence hardware solutions by leveraging unique physical phenomena, have shown promising results in solving large-scale combinatorial problems. However,spatial light modulator enabled Ising machines still remain bulky, are very power demanding, and have poor stability. In this study, we propose an integrated XY Ising sampler based on a highly uniform multimode interferometer and a phase shifter array, enabling the minimization of both discrete and continuous spin Hamiltonians. We elucidate the performance of this computing platform in achieving fully programmable spin couplings and external magnetic fields. Additionally, we successfully demonstrate the weighted full-rank Ising model with a linear dependence of 0.82 and weighted MaxCut problem solving with the proposed *** results illustrate that the developed structure has significant potential for larger-scale, reduced power consumption and increased operational speed, positioning it as a versatile platform for commercially viable high-performance samplers of combinatorial optimization problems.

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Design of Large-Scale OXC for the Next-Generation ROADM 16

Design of Large-Scale OXC for the Next-Generation ROADM

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Ye, Tong Luo, Jiayi Li, Herui Yao, Yibei Shanghai Jiao Tong University State Key Lab of Advanced Optical Communication Systems and Networks Shanghai China

Using multiple MEMSes sandwiched between two columns of WSSes, this paper designs a low-loss, nonblocking, and scalab.e OXC that is suitable for the future SDM optical network with a smaller number of wavelengths per ... 详细信息

ISBN: (纸本)9798350372076

关键词： optical fiber communication

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Decomposition-based learning in drone-assisted wireless-powered mobile edge computing networks

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Digital communications and networks 2024年第6期10卷 1769-1781页

作者： Xiaoyi Zhou Liang Huang Tong Ye Weiqiang Sun State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong UniversityShanghai 200240China College of Computer Science and Technology Zhejiang University of TechnologyHangzhou 310058China

This paper investigates the multi-Unmanned Aerial Vehicle(UAV)-assisted wireless-powered Mobile Edge Computing(MEC)system,where UAVs provide computation and powering services to mobile *** aim to maximize the number of completed computation tasks by jointly optimizing the offloading decisions of all terminals and the trajectory planning of all *** action space of the system is extremely large and grows exponentially with the number of *** this case,single-agent learning will require an overlarge neural network,resulting in insufficient ***,the offloading decisions and trajectory planning are two subproblems performed by different executants,providing an opportunity for *** thus adopt the idea of decomposition and propose a 2-Tiered Multi-agent Soft Actor-Critic(2T-MSAC)algorithm,decomposing a single neural network into multiple small-scale *** the first tier,a single agent is used for offloading decisions,and an online pretrained model based on imitation learning is specially designed to accelerate the training process of this *** the second tier,UAVs utilize multiple agents to plan their *** agent exerts its influence on the parameter update of other agents through actions and rewards,thereby achieving joint *** results demonstrate that the proposed algorithm can be applied to scenarios with various location distributions of terminals,outperforming existing benchmarks that perform well only in specific *** particular,2T-MSAC increases the number of completed tasks by 45.5%in the scenario with uneven terminal ***,the pretrained model based on imitation learning reduces the convergence time of 2T-MSAC by 58.2%.

关键词： Mobile-edge computing Multi-agent reinforcement learning Offloading decision Trajectory planning Unmanned aerial vehicle Wireless power transfer

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