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9th International Conference on communication and Information Processing, ICCIP 2023

作者： Guan, Jingyi Yin, Fangfang Liu, Danpu Jin, Libiao Li, Shufeng State Key Laboratory of Media Convergence and Communication Communication University of China Beijing100024 China Beijing Laboratory of Advanced Information Network Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9798400708909

In this paper, we propose a terrestrial-satellite Internet of Things (IoT) to integrate the geostationary earth orbit (GEO) satellite and the terrestrial small-cell base stations (SBSs) to achieve efficient data offloading. A terrestrial-satellite networks (TSN) framework with multi-access edge computing (MEC) is investigated for two kinds of multimedia services, computation-sensitive service and high-data-rate service. We aim to minimize the sum latency of services while satisfying the distinct quality of service (QoS) requirements jointly determined by data offloading (DO) and computing resource allocation (CA). Since the optimized problem is nonconvex, we decompose the formulated problem into two subproblems: 1) the DO subproblem minimizing the latency of two heterogeneous services, which is solved by one-to-many matching and 2) the CA subproblem that is solved by leveraging the convex optimization. Furthermore, an alternating iteration method is adopted to obtain the near-optimal solution with low computation complexity. Finally, simulation results are conducted with different system parameter configurations to verify the effectiveness of our proposed joint scheme. © 2023 Copyright held by the owner/author(s)

关键词： Resource allocation

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Integrated optical frequency transfer and optical physical layer key distribution with enhanced link reciprocity detection

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Science China(Information Sciences) 2024年第7期67卷 335-336页

作者： Kunfeng XIE Liang HU Jianping CHEN Guiling WU State Key Laboratory of Advanced Optical Communication System and Networks Department of Electronic EngineeringShanghai Jiao Tong University

optical fiber transmission has been widely used in communications and metrology, wherein optical frequency transfer (OFT) and optical physical layer secure key distribution (OKD) have become research hotspots [1, 2]. Moreover,OFT can perform a comparison between state-of-the-art optical atomic clocks and implement coherent optical phase transfer over long distances to support geodesy [1, 3].

关键词： distribution integrated physical detection layer link with enhanced frequency optical

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On the PMD Impact of Dual-Polarization Direct Detection with Jones-Space optical Field Recovery

On the PMD Impact of Dual-Polarization Direct Detection with...

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2023 Asia communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Wu, Qi Zhu, Yixiao Jiang, Hexun Xu, Zhaopeng Ji, Honglin Yang, Yu Qiao, Gang Wang, Shangcheng Liu, Lulu Liang, Junpeng Wei, Jinlong Li, Jiali He, Zhixue Zhuge, Qunbi Hu, Weisheng Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication System and Networks Department of Electronic Engineering China Peng Cheng Laboratory Shenzhen China

ISBN: (纸本)9798350312614

We theoretically extend the concept of proposed Jones-space optical field recovery to the all-order polarization mode dispersion model for short-reach direct detection optical fiber communications. We numerically verify the impact of polarization mode dispersion can be mitigated using linear equalization as coherent detection systems with a 56-GBd dual-polarization QPSK, 16-QAM, and 64-QAM simulation. © 2023 IEEE.

关键词： Direct detection Jones-space optical field recovery polarization mode dispersion

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405-GBd OOK and 201-GBd PAM-4 IM/DD Optics at Record Faster-Than-Nyquist Ratios of 226.6% and 62.1% Enabled by advanced Noise Whitening

405-GBd OOK and 201-GBd PAM-4 IM/DD Optics at Record Faster-...

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2023 Asia communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Wu, Qi Xu, Zhaopeng Zhu, Yixiao Ji, Honglin Yang, Yu Liang, Junpeng Qiao, Gang Wang, Shangcheng Liu, Lulu Wei, Jinlong Zhuge, Qunbi Hu, Weisheng Peng Cheng Laboratory Shenzhen China Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication System and Networks Department of Electronic Engineering China

ISBN: (纸本)9798350312614

We experimentally demonstrate 405-GBd OOK and 201-GBd PAM-4 signaling in an intensity modulation and direct detection system with a 62-GHz brick-wall bandwidth. Record faster-than-Nyquist ratios of 226.6% and 62.1% are successfully achieved for OOK and PAM-4 modulations, enabled by the proposed gradient-decent noise whitening technique. © 2023 IEEE.

关键词： faster-than-Nyquist IM-DD noise whitening OOK PAM-4

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Ultrafast laser state active controlling based on anisotropic quasi-1D material

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Light(Science & Applications) 2024年第4期13卷 717-726页

作者： Zixin Yang Qiang Yu Jian Wu Haiqin Deng Yan Zhang Wenchao Wang Tianhao Xian Luyi Huang Junrong Zhang Shuai Yuan Jinyong Leng Li Zhan Zongfu Jiang Junyong Wang Kai Zhang Pu Zhou College of Advanced Interdisciplinary Studies National University of Defense TechnologyChangsha 410073China. Nanhu Laser Laboratory National University of Defense TechnologyChangsha 410073China. i-Lab&Key Laboratory of Nanodevices and Applications&Key Laboratory of Nanophotonic Materials and Devices Suzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhou 215123China. School of Applied and Engineering Physics Cornell UniversityIthacaNY 14853USA. State Key Laboratory of Advanced Optical Communication Systems and Networks School of Physics and AstronomyShanghai Jiao Tong UniversityShanghai 200240China. Shanghai Key Lab of Modern Optical System University of Shanghai for Science and TechnologyShanghai 200093China

Laser state active controlling is challenging under the influence of inherent loss and other nonlinear effects in ultrafast *** an extension of degree of freedom in optical devices based on low-dimensional materials may be a way ***,the anisotropic quasi-one-dimensional layered material Ta2PdS6 was utilized as a saturable absorber to modulate the nonlinear parameters effectively in an ultrafast system by polarization-dependent *** polarization-sensitive nonlinear optical response facilitates the Ta2PdS6-based mode-lock laser to sustain two types of laser states,i.e.,conventional soliton and noise-like *** laser state was switchable in the single fiber laser with a mechanism revealed by numerical *** coding was further demonstrated in this platform by employing the laser as a codable light *** work proposed an approach for ultrafast laser state active controlling with low-dimensional material,which offers a new avenue for constructing tunable on-fiber devices.

关键词： polarization fiber controlling

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Silicon Photonic Distributed Acoustic Sensing Interrogator 28

Silicon Photonic Distributed Acoustic Sensing Interrogator

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28th International Conference on optical Fiber Sensors, OFS 2023

作者： Jin, Zhicheng Chen, Jiageng Chang, Yanming Liu, Qingwen He, Zuyuan State Key Laboratory of Advanced Optical Communication System and Networks Department of Electronic Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China

We demonstrate an integrated interrogator for distributed acoustic sensing on the silicon-on-insulator platform, whose performance is comparable to the discrete system. © Optica Publishing Group 2023, © 2023... 详细信息

ISBN: (纸本)9781957171302

关键词： Silicon photonics

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Terabit Single-Ended Coherent Receiver Using a Partial 3×3 Coupler

Terabit Single-Ended Coherent Receiver Using a Partial 3×3 ...

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International Conference on optical communications and networks (ICOCN)

作者： Yixiao Zhu Xiansong Fang Lina Man Fan Zhang Weisheng Hu State Key Laboratory of Advanced Optical Communication System and Networks Shanghai Jiao Tong University Shanghai China State Key Laboratory of Advanced Optical Communication System and Networks Peking University Beijing China

We propose a hardware-efficient single-ended coherent receiver structure using two arbitrary output tributaries of a 3×3 coupler. We experimentally demonstrate 1.008-Tb/s line rate (820-Gb/s net rate) PS-64-QAM s... 详细信息

ISBN: (数字)9798350367652

ISBN: (纸本)9798350367669

关键词： optical fiber couplers Receivers Couplers Coherence Passive optical networks Standards Periodic structures

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Pushing AI to wireless network edge: an overview on integrated sensing, communication, and computation towards 6G

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Science China(Information Sciences) 2023年第3期66卷 7-25页

作者： Guangxu ZHU Zhonghao LYU Xiang JIAO Peixi LIU Mingzhe CHEN Jie XU Shuguang CUI Ping ZHANG Shenzhen Research Institute of Big Data Future Network of Intelligence Institute (FNii) The Chinese University of Hong Kong (Shenzhen) School of Science and Engineering (SSE) The Chinese University of Hong Kong (Shenzhen) State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Department of Electrical and Computer Engineering and Institute for Data Science and Computing University of Miami Peng Cheng Laboratory State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

Pushing artificial intelligence(AI) from central cloud to network edge has reached board consensus in both industry and academia for materializing the vision of artificial intelligence of things(AIoT) in the sixth-generation(6G) era. This gives rise to an emerging research area known as edge intelligence, which concerns the distillation of human-like intelligence from the vast amount of data scattered at the wireless network edge. Typically, realizing edge intelligence corresponds to the processes of sensing, communication,and computation, which are coupled ingredients for data generation, exchanging, and processing, ***, conventional wireless networks design the three mentioned ingredients separately in a task-agnostic manner, which leads to difficulties in accommodating the stringent demands of ultra-low latency, ultra-high reliability, and high capacity in emerging AI applications like auto-driving and metaverse. This thus prompts a new design paradigm of seamlessly integrated sensing, communication, and computation(ISCC) in a taskoriented manner, which comprehensively accounts for the use of the data in downstream AI tasks. In view of its growing interest, this study provides a timely overview of ISCC for edge intelligence by introducing its basic concept, design challenges, and enabling techniques, surveying the state-of-the-art advancements, and shedding light on the road ahead.

关键词： sixth-generation (6G) edge intelligence artificial intelligence of things (AIoT) integrated sensing communication and computation (ISCC)

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LDSeq: Latent Diffusion Models for Sequence to Sequence Text Generation 23

LDSeq: Latent Diffusion Models for Sequence to Sequence Text...

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Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence

作者： Yizhou Ding Jidong Tian Shanxing Mei Yifan Zhou Yuwu Dong Hao He Weisheng Hu State Key Lab of Advanced Optical Communication System and Network Shanghai Jiao Tong University China

ISBN: (纸本)9798400708688

Diffusion models have demonstrated remarkable success in generating continuous data, such as images and audios. Previous studies on text generation employing continuous diffusion models have revealed the potential of the diffusion framework. However, challenges like embedding collapse persist, limiting the overall generation performance. In this paper we introduce LDSeq, a latent diffusion framework employing a two-stage training procedure for sequence-to-sequence text generation. In the proposed framework, we first train a Variational Auto-Encoder (VAE) on downstream datasets to compress the target text of samples into a continuous latent space, and then we train a conditional latent diffusion model in the fixed continuous latent space, where the latent vectors are iteratively sampled conditioned on the input source text. The disjoint training stages prevent the collapse of diffusion space. Experimental results on paraphrase generation and text summarization datasets show that LDSeq achieves comparable or superior performance in comparison to AR and NAR baselines while requiring lower training cost. Furthermore, We discuss some potential future directions for enhancing diffusion models in the text generation domain.

关键词： Diffusion probabilistic models Latent variable models Sequence-to-sequence text generation

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Ontology-Semantic Alignment On Contrastive Video-Language Model for Multimodel Video Retrieval Task 23

Ontology-Semantic Alignment On Contrastive Video-Language Mo...

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Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence

作者： Yifan Zhou Yizhou Ding Yuwu Dong Hao He Shanghai Jiao Tong University State Key Lab of Advanced Optical Communication System and Network China

ISBN: (纸本)9798400708688

Contrastive Learning-based models have shown impressive performance in text-image retrieval tasks. However, when applied in video retrieval, traditional contrastive learning strategies have faced challenges in achieving satisfactory results due to redundancy of video contents. We discern several potential reasons: (1)Current methodologies sometimes overlook the significant information imbalance between videos and query text, specifically neglecting the in-depth textual representation of the content within the videos. (2) Current video matching methodologies typically focus on cross-model alignment at general entity similarity level, without specific consideration for how entity pair preferences and similarity properties affect the task at hand. (3) Previous vectorized retrieval based on video content features have been somewhat flawed. They primarily focused on aligning overall features without having an video content tags feature for meaningful feature discrimination. Considering the shortcomings identified in the mentioned three aspects, we propose an ontology semantic labels augments retrieval model and introduce a method to integrate video ontology semantic labels into the contrastive learning framework. In particular, we have developed ontology semantic descriptions about entities encompassing both human figures and textual elements within the videos. Subsequently, we conducted training and testing on the CMIVQA dataset to assess the performance of our approach. The experimental results show that employing fine-grained ontology labels as sample pairs for contrastive learning leads to an increased level of precision in video retrieval tasks.

关键词： Multimodal alignment Ontology description Video content understanding

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