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arXiv 2022年

作者： Zhang, Yihao Liu, Xiaomin Liu, Yichen Yi, Lilin Hu, Weisheng Zhuge, Qunbi State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China

Based on the physical features of Raman amplification, we propose a three-step modelling scheme based on neural networks (NN) and linear regression. Higher accuracy, less data requirements and lower computational complexity are demonstrated through simulations compared with the pure NN-based method. © 2022, CC BY-NC-ND.

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Optics-Informed Fully Convolutional networks for Enhanced Channel Equalization in High-Speed VCSEL-Based optical Interconnects

Optics-Informed Fully Convolutional Networks for Enhanced Ch...

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Asia communications and Photonics Conference and Exhibition (ACP)

作者： Yuting Xu Chuanchuan Yang Zhaopeng Xu Hao Qin Jianwei Tang Yuping Zhao Pengcheng Laboratory Peking University Shenzhen Graduate School Peking University Shenzhen China State Key Laboratory of Advanced Optical Communication Systems and Networks Peking University Beijing China Department of Circuits and Systems Pengcheng Laboratory Shenzhen China School of Electronics Peking University Beijing China

This paper proposes an optics-informed fully convo-lutional network equalizer for high-speed VCSEL-based optical interconnects. The proposed method demonstrates significant performance improvements across different tr... 详细信息

ISBN: (数字)9798350379266

ISBN: (纸本)9798350379273

关键词： optical interconnections Sensitivity Equalizers system performance optical fiber networks optical receivers optical sensors Convolutional neural networks High-speed optical techniques Photonics

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optical Field Recovery in Jones Space

arXiv

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arXiv 2022年

作者： Wu, Qi Zhu, Yixiao Jiang, Hexun Zhuge, Qunbi Hu, Weisheng The State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China

optical full-field recovery makes it possible to compensate for fiber impairments such as chromatic dispersion and polarization mode dispersion (PMD) in the digital signal processing. For cost-sensitive short-reach optical networks, some advanced single-polarization (SP) optical field recovery schemes are recently proposed to avoid chromatic dispersion-induced power fading effect, and improve the spectral efficiency for larger potential capacity. Polarization division multiplexing (PDM) can further double both the spectral efficiency and the system capacity of these SP carrier-assisted direct detection (DD) schemes. However, the so-called polarization fading phenomenon induced by random polarization rotation is a fundamental obstacle which prevents SP carrier-assisted DD systems from polarization diversity. In this paper, we propose a receiver of Jones-space field recovery (JSFR) to realize polarization diversity with SP carrier-assisted DD schemes in Jones space. Different receiver structures and simplified recovery procedures for JSFR are explored theoretically. The proposed JSFR pushes the SP DD schemes towards PDM without extra optical signal-to-noise ratio (OSNR) penalty. In addition, the JSFR shows good tolerance to PMD since the optical field recovery is conducted before polarization recovery. In the concept-of-proof experiment, we demonstrate 448-Gb/s reception over 80-km single-mode fiber using the proposed JSFR based on 2×2 couplers. Furthermore, we qualitatively compare the optical field recovery in Jones space and Stokes space from the perspective of the modulation dimension. Copyright © 2022, The Authors. All rights reserved.

关键词： Polarization

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optical Field Recovery in the Jones Space

TechRxiv

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TechRxiv 2022年

optical full-field recovery makes it possible to compensate fiber impairments such as chromatic dispersion and polarization mode dispersion (PMD) in the digital signal processing. Coherent detection dominates over the long-haul transmission system due to its high spectral efficiency and tolerance against optical impairments. For cost-sensitive short-reach optical networks, some advanced single-polarization (SP) optical field recovery schemes are recently proposed to avoid chromatic dispersion-induced power fading effect, and improve the spectral efficiency for larger potential capacity. Polarization division multiplexing (PDM) can further double both the spectral efficiency and the system capacity of these SP carrier-assisted direct detection (DD) schemes. However, the so-called polarization fading phenomenon induced by random polarization rotation is a fundamental obstacle to exploit the polarization diversity for carrier-assisted DD systems. In this paper, we propose a receiver of Jones-space field recovery (JSFR) to realize polarization diversity with SP carrier-assisted DD schemes in the Jones space. There different receiver structures of proposed JSFR and the simplification for JSFR are explored theoretically. The proposed JSFR pushes the SP DD schemes towards PDM without no extra optical signal-to-noise ratio (OSNR) penalty. In addition, the JSFR shows good tolerance to PMD since the optical field recovery is conducted before polarization recovery. In the concept-of-proof experiment, we demonstrate 448-Gb/s reception over 80-km single-mode fiber using the proposed JSFR based on 2×2 couplers. Qualitatively, we compare the optical field recovery in the Jones space and Stokes space from the perspective of the modulation dimension. © 2022, CC BY.

关键词： Polarization

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Traffic Clustering Algorithm of Urban Data Brain Based on a Hybrid-Augmented Architecture of Quantum Annealing and Brain-Inspired Cognitive Computing

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Tsinghua Science and Technology 2020年第6期25卷 813-825页

作者： Ning Wang Gege Guo Baonan Wang Chao Wang Key laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced CommunicationShanghai Institute for Advanced Communication and Data ScienceShanghai UniversityShanghai 200444China State Key Laboratory of Cryptology.Beijing 100878 China Center for Quantum Computing Peng Cheng LaboratoryShenzhen 518000China

In recent years,the urbanization process has brought modernity while also causing key issues,such as traffic congestion and parking ***,cities need a more intelligent"brain"to form more intelligent and efficient transportation *** present,as a type of machine learning,the traditional clustering algorithm still has limitations.K-means algorithm is widely used to solve traffic clustering problems,but it has limitations,such as sensitivity to initial points and poor ***,based on the hybrid architecture of Quantum Annealing(QA)and brain-inspired cognitive computing,this study proposes QA and Brain-Inspired Clustering Algorithm(QABICA)to solve the problem of urban taxi-stand *** on the traffic trajectory data of Xi’an and Chengdu provided by Didi Chuxing,the clustering results of our algorithm and K-means algorithm are *** find that the average taxi-stand location bias of the final result based on QABICA is smaller than that based on K-means,and the bias of our algorithm can effectively reduce the tradition K-means bias by approximately 42%,up to approximately 83%,with higher *** algorithm is able to jump out of the local suboptimal solutions and approach the global optimum,and brain-inspired cognitive computing provides search feedback and ***,we will further consider applying our algorithm to analyze urban traffic flow,and solve traffic congestion and other key problems in intelligent transportation.

关键词： cluster analysis intelligent transportation quantum annealing and brain-inspired clustering algorithm K-means

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Active whispering-gallery microclock in pulsed-operation mode

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Physical Review A 2023年第4期107卷 043712-043712页

作者： Deshui Yu Jingbiao Chen Shougang Zhang National Time Service Center Chinese Academy of Sciences Xi'an 710600 China State Key Laboratory of Advanced Optical Communication Systems and Networks Institute of Quantum Electronics School of Electronics Peking University Beijing 100871 China University of Chinese Academy of Sciences Beijing 100049 China

A whispering-gallery-mode microlaser in the bad-cavity limit serves as an active optical clock. In this clock scheme, an ensemble of two-level atoms is trapped in a two-color ring-shaped optical lattice, i.e., Lamb-Dicke regime, and evanescently interacts with an optical microcavity. The microclock is operated in the pulsed mode, where the atoms are periodically pumped into the upper state of the electric-dipole-forbidden clock transition, providing the optical gain. The numerical simulation shows that the fractional frequency instability of the microclock reaches 5×10−14 at 103 s of averaging, mainly limited by the lattice-induced frequency shifts. This miniature optical clock owns the high integration and can be potentially used to supply the time standard in a photonic network, paving the way towards the on-chip metrology.

关键词： Atomic, optical & lattice clocks Superradiance & subradiance

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Children and Dogs Classification in CPD Application 10

Children and Dogs Classification in CPD Application

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10th IEEE Smart World Congress, SWC 2024

作者： Shi, Yehui Shi, Jianhong Qi, Yihong Luo, Yunlong Yang, Hanchun Wu, Chenfeng Ma, Yanbo Qi, Alex School of Sensing Science and Engineering Shanghai Jiao Tong University Shanghai China State Key Laboratory of Advanced Optical Communication Systems and Networks Institute of Quantum Sensing and Information Processing School of Sensing Science and Engineering Shanghai Jiao Tong University Shanghai China Shanghai Jiao Tong University Shanghai China Pontosense Inc. 20 De Boers Dr Suite 514 TorontoONM3J 0G7 Canada

ISBN: (纸本)9798331520861

In recent years, incidents of children or dogs being left in vehicles and subsequently dying have garnered significant attention from both the public and regulatory bodies. Due to the varying nature of rescue methods, environmental conditions, and other factors, accurately identifying children and dogs is a crucial component of Child Presence Detection (CPD) in vehicle cabins. This paper employs frequency-modulated continuous wave (FMCW) radar to extract features through respiration detection and motion detection, and utilizes machine learning models to distinguish between children and dogs, thereby enhancing the accuracy and reliability of the detection system. The proposed methodology combines respiratory and motion features to achieve precise differentiation between children and dogs, which is crucial for appropriate safety responses, health interventions, and legal actions. © 2024 IEEE.

关键词： Frequency shift keying

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Scattering Environment Aware Joint Multi-user Channel Estimation and Localization with Spatially Reused Pilots

arXiv

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arXiv 2025年

作者： Tian, Kaiyuan Chi, Yani Zhou, Yufan Liu, An The State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China The China Academy of Information and Communications Technology Beijing100191 China The College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China

The increasing number of users leads to an increase in pilot overhead, and the limited pilot resources make it challenging to support all users using orthogonal pilots. By fully capturing the inherent physical characteristics of the multi-user (MU) environment, it is possible to reduce pilot costs and improve the channel estimation performance. In reality, users nearby may share the same scatterer, while users further apart tend to have orthogonal channels. This paper proposes a two-timescale approach for joint MU uplink channel estimation and localization in MIMO-OFDM systems, which fully captures the spatial characteristics of MUs. To accurately represent the structure of the MU channel, the channel is modeled in the 3-D location domain. In the long-timescale phase, the time-space-time multiple signal classification (TST-MUSIC) algorithm initially offers a rough approximation of scatterer positions for each user, which is subsequently refined through the scatterer association algorithm based on density-based spatial clustering of applications with noise (DBSCAN) algorithm. The BS then utilizes this prior information to apply a graph-coloring-based user grouping algorithm, enabling spatial division multiplexing of pilots and reducing pilot overhead. In the short timescale phase, a low-complexity scattering environment aware location-domain turbo channel estimation (SEA-LD-TurboCE) algorithm is introduced to merge the overlapping scatterer information from MUs, facilitating high-precision joint MU channel estimation and localization under spatially reused pilots. Simulation results verify the superior channel estimation and localization performance of our proposed scheme over the baselines. Copyright © 2025, The Authors. All rights reserved.

关键词： Channel estimation

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Synesthesia of Machines (SoM)-Enhanced ISAC Precoding for Vehicular networks with Double Dynamics

arXiv

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arXiv 2024年

作者： Yang, Zonghui Gao, Shijian Cheng, Xiang Yang, Liuqing State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China Guangzhou511400 China Guangzhou China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong

Integrated sensing and communication (ISAC) technology is vital for vehicular networks, yet the time-varying communication channels and rapid movement of targets present significant challenges for real-time precoding design. Traditional optimization-based methods are computationally complex and depend on perfect prior information, which is often unavailable in double-dynamic scenarios. In this paper, we propose a synesthesia of machine (SoM)-enhanced precoding paradigm that leverages modalities such as positioning and channel information to adapt to these dynamics. Utilizing a deep reinforcement learning (DRL) framework, our approach pushes ISAC performance boundaries. We also introduce a parameter-shared actor-critic architecture to accelerate training in complex state and action spaces. Extensive experiments validate the superiority of our method over existing approaches. Copyright © 2024, The Authors. All rights reserved.

关键词： Deep reinforcement learning

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Optimization of Quantum Computing Models Inspired by D-Wave Quantum Annealing

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Tsinghua Science and Technology 2020年第4期25卷 508-515页

作者： Baonan Wang Feng Hu Chao Wang Key laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced CommunicationShanghai Institute for Advanced Communication and Data ScienceShanghai UniversityShanghai 200444China the State Key Laboratory of Cryptology Beijing 100878China the Center for Quantum Computing Peng Cheng LaboratoryShenzhen 518000China

With the slow progress of universal quantum computers,studies on the feasibility of optimization by a dedicated and quantum-annealing-based annealer are *** quantum principle is expected to utilize the quantum tunneling effects to find the optimal solutions for the exponential-level problems while classical annealing may be affected by the *** study constructs a new Quantum-Inspired Annealing(QIA)framework to explore the potentials of quantum annealing for solving Ising model with comparisons to the classical *** various configurations of the 1 D Ising model,the new framework can achieve ground state,corresponding to the optimum of classical problems,with higher probability up to 28%versus classical counterpart(22%in case).This condition not only reveals the potential of quantum annealing for solving the Ising-like Hamiltonian,but also contributes to an improved understanding and use of the quantum annealer for various applications in the future.

关键词： Quantum Annealing(QA) annealing schedule quantum tunneling optimization problem

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