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arXiv 2024年

作者： Zhao, Can Chen, Bin Cai, Jiaqi Liang, Zhiwei Lei, Yi Xiong, Junjie Ma, Lin Hu, Daohui Sun, Lin Shen, Gangxiang School of Computer Science and Information Engineering Hefei University of Technology Hefei China School of Electronic and Information Engineering Soochow University Suzhou China State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

A 16-dimensional Voronoi constellation concatenated with multilevel coding is experimentally demonstrated over a 50 km four-core fiber transmission system. The proposed scheme reduces the required launch power by 6 dB and provides a 17 dB larger operating range than 16QAM with BICM at the outer HD-FEC BER threshold. © 2024, CC BY-NC-SA.

关键词： Digital television

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Parallel chaotic sources based on microcombs

Parallel chaotic sources based on microcombs

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Shen, Bitao Shu, Haowen Xie, Weiqiang Chen, Ruixuan Liu, Zhi Zhang, Xuguang Wang, Yimeng Zhang, Yunhao Cheng, Buwen Yu, Shaohua Bowers, John E. Chang, Lin Wang, Xingjun State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Frontiers Science Center for Nano-Optoelectronics Peking University Beijing100871 China Peng Cheng Laboratory Shenzhen518055 China State Key Laboratory on Integrated Optoelectronics Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China

Massively parallel optical chaotic sources with large bandwidth are demonstrated based on chaotic microcombs in the AlGaAsOI platform. 30-channel parallel random bit generation with 30 Gbit/s per channel is realized b... 详细信息

ISBN: (纸本)9781957171258

关键词： Gallium compounds

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A novel and highly stable 840 MHz repetition rate femtosecond fiber laser

A novel and highly stable 840 MHz repetition rate femtosecon...

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2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022

作者： Yang, Ruoao Zhao, Minghe Jin, Xingang Li, Qian Chen, Zhangyuan Wang, Aimin Zhang, Zhigang State Key Laboratory of Advanced Optical Communication System and Networks School of Electronics Peking University Beijing100871 China School of Electronic and Computer Engineering Peking University Shenzhen518055 China Jiaxing Xurui Electronics Tech Co Ltd Jiaxing314001 China

ISBN: (纸本)9798350350012

We demonstrate a novel and highly stable femtosecond fiber laser at a repetition rate of 840 MHz. Because the laser components are bonded on a silica glass, the repetition rate of the free running laser drifts within 1 kHz over 12 hrs. The timing jitter of the pulses measured by the balanced optical cross-correlation is 130 as for the integration range of 10 kHz to 1 MHz. © 2022 IEEE.

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A SUPERVISED INFORMATION ENHANCED MULTI-GRANULARITY CONTRASTIVE LEARNING FRAMEWORK FOR EEG BASED EMOTION RECOGNITION

arXiv

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arXiv 2024年

作者： Li, Xiang Song, Jian Zhao, Zhigang Wang, Chunxiao Song, Dawei Hu, Bin Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Qilu University of Technology Shandong Academy of Sciences Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China Institute of Engineering Medicine Beijing Institute of Technology Beijing China

This study introduces a novel Supervised Info-enhanced Contrastive Learning framework for EEG based Emotion Recognition (SI-CLEER). SI-CLEER employs multi-granularity contrastive learning to create robust EEG contextual representations, potentially improving emotion recognition effectiveness. Unlike existing methods solely guided by classification loss, we propose a joint learning model combining self-supervised contrastive learning loss and supervised classification loss. This model optimizes both loss functions, capturing subtle EEG signal differences specific to emotion detection. Extensive experiments demonstrate SI-CLEER's robustness and superior accuracy on the SEED dataset compared to state-of-the-art methods. Furthermore, we analyze electrode performance, highlighting the significance of central frontal and temporal brain region EEGs in emotion detection. This study offers an universally applicable approach with potential benefits for diverse EEG classification tasks. © 2024, CC0.

关键词： Emotion Recognition

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A Survey on Network Management for xANET: Evolution, Challenges, Future Directions

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IEEE Communications Surveys and Tutorials 2025年

作者： Li, Tong Yang, Chungang Wang, Yao Cai, Lin Anpalagan, Alagan Han, Zhu Xidian University State Key Laboratory of Integrated Services Networks Xi'an710071 China National Key Laboratory of Multi-domain Data Collaborative Processing and Control Xi'an710068 China Hangzhou Institute of Technology of Xidian University Hangzhou311231 China University of Victoria Department of Electrical and Computer Engineering VictoriaBCV8P 5C2 Canada Ryerson University Department of Electrical and Computer Engineering TorontoONM5B 2K3 Canada University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446701 Korea Republic of

The x ad hoc network (xANET) termed as a family of ad hoc networks, including mobile ad hoc network (MANET), vehicular ad hoc network (VANET), flying ad hoc network (FANET) and satellite ad hoc network (SANET), has found a wide range of applications in providing ubiquitous wireless services. Despite its broad utility, the dynamic nature and lack of a centralized controller pose significant challenges to effective and flexible network management for xANET. Conventional network management protocols face challenges such as scalability, security vulnerabilities, configuration complexity, robustness, and performance resilience. Recent efforts have presented different approaches, focusing on policy-based network management (PBNM) and intent-driven network management (IDNM). However, there is no comprehensive survey to clarify their concepts and classifications. This paper presents a survey of the network management evolution for xANET, covering configuration-based, policy-based and the latest intent-driven approaches. We first introduce the characteristics and applications of xANET. Meanwhile, we investigate the network management concepts and challenges. Moreover, we survey the evolution of management protocols for xANET, including simple network management protocol (SNMP), PBNM, and IDNM. Then, we follow the detailed network management of xANET from configuration-based to policy-based and intent-driven approaches. Through comparative analysis, it is found that IDNM employs a more intelligent management protocol, demonstrating higher efficiency and flexibility in handling complex tasks and dynamic network management. This makes it better suited to addressing the challenges of xANET management. Finally, we summarize the remaining challenges and possible future research directions. © 2025 IEEE.

关键词： Vehicular ad hoc networks

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A novel and highly stable 840 MHz repetition rate femtosecond fiber laser

A novel and highly stable 840 MHz repetition rate femtosecon...

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2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO/PR 2022

关键词： Silica

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Joint Scheduling, Computing, and Load Balancing for Time Sensitive Traffic in SDN-Enabled Space-Air-Ground Integrated 6 G networks: A Federated Reinforcement Learning Approach

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IEEE Transactions on Mobile Computing 2025年

作者： Sun, Haitong Zhang, Haijun Ma, Hui Leung, Victor C.M Hebei Key Laboratory of Space-Air-Ground Intelligent Communication Beijing100083 China University of Science and Technology Beijing Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services Beijing100083 China Shenzhen University Department of Computer Science and Software Engineering Shenzhen518061 China University of British Columbia Department of Electrical and Computer Engineering VancouverBCV6T 1Z4 Canada

Low Earth Orbit (LEO) constellations and Unmanned Aerial Vehicle (UAV) networks enable wide coverage for the sixth generation (6G) mobile communication. However, it is a challenge to achieve high scheduling success rate, ultra-low latency, and efficient load balance in the Space-Air-Ground Integrated 6G Network (SAGGIN). This paper addresses the following issue: How to effectively and orderly transmit time-sensitive traffic in SAGGIN under strict deadlines, limited computational ability, and restrained link capacity? Specifically, this paper uses Software-Defined Networking (SDN) and designs a joint optimization method to enhance the traffic transmission ability of SAGGIN. Considering response time, computing cost, and link capacity in SAGGIN, the scheduling, computing, and load balance issues are modeled as a multi-objective optimization problem that minimizes the worst-case response time and computing cost of data frames while maximizing the network flow. Then, this paper leverages a Federated Reinforcement Learning (FRL) scheme to solve the problem. Results show that the FRL could achieve great scheduling, computing, and load balance performance. Specifically, our method can successfully schedule 80% of the traffic at most when the current network load is around 90%. Furthermore, the computational delay could reduce around 50%. © 2002-2012 IEEE.

关键词： Reinforcement learning

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A Wideband Circularly Polarized Leaky Wave Antenna based on ISGW

A Wideband Circularly Polarized Leaky Wave Antenna based on ...

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2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021

作者： Meng, Dechao Shen, Dongya Zhang, Xiupu Yunnan Provincial Engineering Yunnan University Laboratory of Cloud Wireless Access Heterogeneous Networks Kunming650500 China IPhotonics Labs Concordia University Department of Electrical and Computer Engineering MontrealQC Canada

ISBN: (纸本)9781728146706

A novel leaky-wave antenna (LWA) with circular polarization (CP) and broadside radiation based on integrated substrate gap waveguide (ISGW) technology is proposed. A unique periodic structure, i.e. microstrip line with a periodic set of radiating stubs attached and series U-shape slot, is used to scan continuously from backward to forward and thus to form CP. The proposed LWA provides beam scanning from -29 to 12 over the frequency range of 21.5-27.5 GHz. Return loss less than -10 dB, and axial ratio less than 3 dB are achieved in 21 - 27.5 GHz (26.8%), and 21.16 - 26.05 GHz (20.7%), respectively. The average radiation efficiency is 87.8%. © 2021 IEEE.

关键词： Circular polarization

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Extending the Reach of Optical Interconnects with Advanced Coded Modulation

Extending the Reach of Optical Interconnects with Advanced C...

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OptoElectronics and Communications Conference, OECC

作者： Yi Lei Xiang Wang Qi Lu Bin Chen School of Computer Science and Information Engineering Hefei University of Technology Hefei China State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University China

An advanced coded modulation is proposed based on improved staircase codes using marked bits and geometrically-shaped constellations. Up to 0.95 dB SNR gain and 8.6% reach increase are achieved for beyond 800G data ce...

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Near-Field Magnetic Induction OAM Communications with OFDM Modulation

Near-Field Magnetic Induction OAM Communications with OFDM M...

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IEEE International Conference on Communications (ICC)

作者： Tianyang Zhang Hailin Zhang Maged Elkashlan State Key Laboratory of Integrated Services Networks Xidian University Xi'an China School of Electronic Engineering and Computer Science Queen Mary University of London London U.K

Magnetic induction (MI) communication in nearfield scenarios has gained much attention in recent years. From the perspective of practical applications, nearfield magnetic induction (NFMI) communication limits its application in high rate demanded scenarios. In this paper, we propose the orthogonal frequency division multiplexing (OFDM) modulated orbital angular momentum (OAM)-based NFMI communication, which is called O2N communication, to increase the channel capacity where capacity limitation is a major bottleneck problem in magnetic communication systems. The O2N communication can adaptively optimize power allocation on subcarriers in association with OAM modes, significantly increasing the spectrum utilization of frequency-selective MI systems. Numerical results verify the transmission feasibility and capacity enhancement of O2N communication over multi-input multi-output (MIMO) OFDM-based magnetic communications in the near-field region. Moreover, the impact of misalignment on the O2N communication is also evaluated. High-capacity O2N communication based on the advantages of OAM and OFDM, can effectively support NFMI communication.

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