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Coexisting RIS Induced Multipath Fading in High-Speed Train Systems

IEEE Transactions on Vehicular technology 2025年

作者： Wu, Wei Wang, Wennai Song, Rongfang Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education College of Telecommunication and Information Engineering Nanjing210003 China

Reconfigurable Intelligent Surfaces (RIS) have recently emerged as a promising and cost-effective technology for enabling stable and reliable communications in high-speed train (HST) environments. However, the coexistence of multiple RIS-assisted networks in confined train environments poses significant theoretical and practical challenges. This study focuses on the RIS coexistence problem in HST systems, specifically investigating the impact of multipath fading induced by coexisting RIS (C-RIS) on interfered users. First, we develop a simplified mutual-coupling channel model for C-RIS-induced multipath (CR-MP), applicable to operational frequency bands above 5 GHz. Second, we evaluate the effects of CR-MP on interfered users using the multipath power ratio (MPR), defined as the ratio of the received signal power to the desired signal power. The MPR formulation is derived as a function of the user's spatial position, operational frequency, and penetration loss. Finally, we analyze the spatial and temporal characteristics of the CR-MP channel through the MPR radiation pattern and the received signal envelope, respectively. Simulation results reveal that the spatial characteristics are time-varying and strongly influenced by the frequency difference and penetration loss, while the temporal characteristics depend on the user's position. When the target user is located in specific positions, the fading effects induced by CR-MP can be negligible with a reduced frequency difference, while the received signal power gain can be significantly enhanced with an increased frequency difference. The findings of this study provide practical insights for RIS deployment in real-world systems, particularly for mitigating C-RIS-induced interference in coexisting RIS-assisted networks. © 1967-2012 IEEE.

关键词： Light rail transit

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Cross-modal communication technology: A survey

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Fundamental Research 2024年

作者： Wei, Xin Wu, Dan Zhou, Liang Guizani, Mohsen School of Communications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing 210003 China College of Communications Engineering Army Engineering University of PLA Nanjing 210007 China Machine Learning Department Mohamed Bin Zayed University of Artificial Intelligence Abu Dhabi 999041 United Arab Emirates

In the 5G era and beyond, multi-modal services that integrate audio, visual, and haptic signals are expected to become dominant applications. To support multi-modal services, the concept of cross-modal communications, which involves collab.rative audio-visual and haptic interactions, has emerged. Despite significant research about cross-modal communication technology being conducted, a comprehensive literature review on this topic is lacking. To fill this gap, this paper presents a detailed survey on cross-modal communication technology. First, it provides a highly summarized description of representative research attempts in audio-visual and haptic communications, which serve as the foundation for cross-modal communications. Then, it delves into various aspects of cross-modal communications, including architectural, cross-modal coding, cross-modal transmission, cross-modal signal reconstruction, the essence of semantics, and prototype systems. Finally, it discusses conclusions and future research directions. This paper is expected to promote the theoretical research and practical applications of cross-modal communications. © 2023

关键词： Audio-visual Cross-modal communications Haptic Multi-modal service Semantics

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Micronucleus Image Recognition Based on Feature-map Spatial Transformation 11

Micronucleus Image Recognition Based on Feature-map Spatial ...

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2019第十一届数字图像处理国际会议

作者： Yujie Xu Jiwei Hu Quan Liu Jiamei Deng School of Information Engineering Wuhan University of Technology & Key Lab.of Broadband Wireless Communication and Sensor Network

ISBN: (数字)9781510630765

ISBN: (纸本)9781510630758

Convolutional neural networks in deep learning models have dominated the recent image recognition *** the lack of capacity to maintain spatial invariance makes identification of micronucleus cells as a classic task in digital pathology still a challenge *** this paper,a novel convolutional neural network for feature maps spatial transformation(FSTCNN) is proposed,which incorporates a Spatial Transformer *** model allows the spatial manipulation of data within the network,provides the ability of active spatial transformation for neural network without any extra *** compared the results of inserting STN into different convolutional layers and found that such a network can transform the input image more steadily,correct the image to one certain position,make it fill the whole screen to create a better environment for image *** results show a distinct advantage over other convolutional neural networks for medical image recognition.

关键词： Spatial transformer micronucleus cells feature extraction image recognition

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Reference-Frame-Independent Measurement-Device-Independent Quantum key Distribution Over 200 km of Optical Fiber

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Physical Review Applied 2021年第6期15卷 064016-064016页

作者： Xing-Yu Zhou Hua-Jian Ding Ming-Shuo Sun Si-Hao Zhang Jing-Yang Liu Chun-Hui Zhang Jian Li Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China Broadband Wireless Communication and Sensor Network Technology Key Lab of Ministry of Education NUPT Nanjing 210003 China Telecommunication and Networks National Engineering Research Center NUPT Nanjing 210003 China

Reference-frame-independent (RFI) measurement-device-independent (MDI) quantum key distribution (QKD) is immune to all detector side-channel attacks and is insensitive to slow drifts of reference frames; thus, it is a promising candidate for the realization of long-distance quantum secure communications. However, its practical performance is predominantly limited by the finite-data-size effect compared with standard MDI QKD. By combining the collective constraint and joint-study strategy with our parameter estimation processes for the RFI-MDI-QKD protocol, we reduce the influence of the finite-data-size effect and substantially improve the protocol’s performance under realistic experimental conditions. Furthermore, a proof-of-principle experimental demonstration is conducted, and a transmission distance of up to 200 km is achieved. Therefore, this study represents a further step toward long-distance quantum secure communications.

关键词： Optical quantum information processing Quantum communication Quantum cryptography Quantum protocols Optical fibers Technological networks

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SiamIRPN: Siamese Visual Tracking with Improved Region Proposal networks

SiamIRPN: Siamese Visual Tracking with Improved Region Propo...

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2023 International Conference on Frontiers of Robotics and Software Engineering, FRSE 2023

作者： Cao, Dun Dai, Renhua Zhao, Tianyu Alqahtani, Fayez Tolba, Amr Sherratt, R. Simon Zhu, Min Changsha University of Science and Technology School of Computer and Communications Engineering Hunan Changsha China Nanjing University of Posts and Telecommunications Ministry of Education Key Lab of Broadcast Wireless Communication and Sensor Network Technology China King Saud University College of Computer and Information Sciences Software Engineering Department Riyadh12372 Saudi Arabia King Saud University Community College Computer Science Department Riyadh11437 Saudi Arabia The University of Reading School of Biomedical Engineering RG6 6AY United Kingdom Zhejiang Shuren University College of Information Science and Technology Zhejiang31000 China

ISBN: (纸本)9798350301113

Though introducing the Region Proposal network (RPN) from object detection enabled Siamese trackers' success, RPN-based trackers still struggle in challenging scenarios. We posit that the reason comes from two major limitations of the introduced RPN, where one is that the external structure of the RPN is simple and straight, the other is that the internal components used in RPN cannot cope with complex scenes. In this paper, we propose an Improved RPN (IRPN) suitable for visual tracking. Externally, we place a Convolutional Block Attention Mechanism (CBAM) to the IRPN, and internally, we adopt the advanced component groups for the IPRN. Using multiple IRPN blocks and deep architecture, we propose a Siamese tracker (SiamIRPN) having a layer-wise structure. Comprehensive experiments and ablation studies on five benchmarks (VOT-2019, OTB100, UAV123, GOT-10k, and NFS) show our proposed SiamIRPN achieves competitive performance. © 2023 IEEE.

关键词： Object detection

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Synergizing Internal Electric Field and Ferroelectric Polarization of Bifeo3/Znin2s4 Z-Scheme Heterojunction for Photocatalytic Overall Water Splitting

SSRN

引用

SSRN 2022年

作者： Zhang, Jian Zhang, Ying Li, Lutao Yan, Wei Wang, Haiyun Cui, Yan Li, Yonghua Zhu, Xinbao Nanjing210023 China Jiangsu Nanjing210023 China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing210003 China College of Chemical Engineering Nanjing Forestry University Nanjing210037 China

Coupling internal electric field and ferroelectric polarization through the modulation of surface electronic structures to achieve high carrier separation and migration efficiency is attractive, but challenging in solar-to-chemical energy conversion. Herein, we report that coating the band gap well matched ZnIn2S4 nanoflakes on BiFeO3 polyhedron microparticles constructs the ferroelectric polarization and internal electric field enhanced Z-scheme heterojunction photocatalyst (BiFeO3 /ZnIn2S4). Benefit from the efficient photon-generated carrier separation and migration processes which triggered by enhanced spontaneous polarization and powerful internal electric field, respectively, the nanocomposites exhibit the firm half-reaction performance over hydrogen and oxygen evolution. More significantly, the optimal nanohybrids photocatalyst (ZB-3) delivered a superior photocatalytic overall water splitting activity (H2 : 87.3 μmol g-1 h-1, O 2 : 42.3 μmol g-1 h-1) with an apparent quantum efficiency of 1.12 % at 420 nm in pure water under visible light irradiation, the highest activity reported so far for ferroelectric-based heterojunction photocatalysts. The novel strategy of synergizing internal electric field and ferroelectric polarization by hybridization is proposed to boost separation and transfer efficiency of photogenerated charges in ferroelectric semiconductors. © 2022, The Authors. All rights reserved.

关键词： Heterojunctions

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Complete hyperentangled Greenberger-Horne-Zeilinger state analysis for polarization and time-bin hyperentanglement

arXiv

引用

arXiv 2022年

作者： Zeng, Zhi Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications Nanjing210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing210003 China School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China

We present an efficient scheme for the complete analysis of hyperentangled Greenberger-Horne-Zeilinger (GHZ) state in polarization and time-bin degrees of freedom with two steps. First, the polarization GHZ state is distinguished completely and nondestructively, resorting to the controlled phase flip (CPF) gate constructed by the cavity-assisted interaction. Subsequently, the time-bin GHZ state is analyzed by using the preserved polarization entanglement. With the help of CPF gate and self-assisted mechanism, our scheme can be directly generalized to the complete Nphoton hyperentangled GHZ state analysis, and it may have potential applications in the hyperentanglement-based quantum communication. © 2022, CC BY.

关键词： Polarization

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Geometry Based LM of Robot to Imitate Human Motion with Kinect 4

Geometry Based LM of Robot to Imitate Human Motion with Kine...

引用

4th IEEE International Conference on Image, Vision and Computing, ICIVC 2019

作者： Guo, Wei Chen, Jianxin Zhang, Ming Pan, Zhaolai Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing210003 China

ISBN: (纸本)9781728123257

Humanoid robots are easily accepted by people because they have a body shape and appearance close to human. Humanoid robots have many application scenarios and great application potentials. Nevertheless, it is not easy to realize robot simulation due to the different physical structures of human bodies and robots. In this paper, we propose a geometry based LM algorithm for the robot to imitate the human motion of upper limb in real time. This method greatly improves the joint angle similarity under the premise of ensuring the similarity of the end trajectories. We designed a comprehensive and unrestricted motion simulation experiment to verify this method. © 2019 IEEE.

关键词： Inverse kinematics

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Research on DNS Resolution technology based on Blockchain

Research on DNS Resolution Technology based on Blockchain

引用

Chinese Automation Congress (CAC)

作者： Wang Hu-qing Zhang Ying-jiao Zhang Xu Sun Zhi-xin Post Industry Technology Research and Development Center of the State Posts Bureau(Intemet of Things Technology) Post Big Data Technology and Application Engineering Research Center of Jiangsu Province Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China School of Modern Posts Nanjing University of Posts and Telecommunications Nanjing China Aahui Yougu Express Intelligent Technology Co. LTD Nanjing China

DNS completes the resolution of domain names to IP addresses, which is an effective means to realize various In-ternet applications, and is also an indispensable part of Internet infrastructure, playing an important role. However, the resolution efficiency and security of DNS have always been a hot spot in the industry. This study deeply discusses the principle of Blockchain-based DNS resolution and conducts extensive re-search on Blockchain-based DNS resolution schemes. Based on compatibility with traditional DNS, these schemes are divided into two categories: compatible and incompatible. For different scenarios, we conduct a detailed analysis and comparison, focusing on the technical characteristics and performance of each so-lution. Finally, the future research direction is looked forward to, and the full text is summarized.

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Deep learning for the design of non-Hermitian topolectrical circuits

arXiv

引用

arXiv 2024年

作者： Chen, Xi Sun, Jinyang Wang, Xiumei Jiang, Hengxuan Zhu, Dandan Zhou, Xingping College of Integrated Circuit Science and Engineering Nanjing University of Posts and Telecommunications Nanjing210003 China Portland Institute Nanjing University of Posts and Telecommunications Nanjing210003 China College of Electronic and Optical Engineering Nanjing University of Posts and Telecommunications Nanjing210003 China Institute of AI Education Shanghai East China Normal University Shanghai200333 China Institute of Quantum Information and Technology Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing210003 China

Non-Hermitian topological phases can produce some remarkable properties, compared with their Hermitian counterpart, such as the breakdown of conventional bulk-boundary correspondence and the non-Hermitian topological edge mode. Here, we introduce several algorithms with multi-layer perceptron (MLP), and convolutional neural network (CNN) in the field of deep learning, to predict the winding of eigenvalues non-Hermitian Hamiltonians. Subsequently, we use the smallest module of the periodic circuit as one unit to construct high-dimensional circuit data features. Further, we use the Dense Convolutional network (DenseNet), a type of convolutional neural network that utilizes dense connections between layers to design a non-Hermitian topolectrical Chern circuit, as the DenseNet algorithm is more suitable for processing high-dimensional data. Our results demonstrate the effectiveness of the deep learning network in capturing the global topological characteristics of a non-Hermitian system based on training data. © 2024, CC BY.

关键词： Eigenvalues and eigenfunctions

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