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Sensitivity and Distance Based Performance Analysis for Batteryless Tags with Transmit Beamforming and Ambient Backscattering

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China Communications 2022年第2期19卷 109-117页

作者： Minzheng Jia Chaochao Yao Wei Liu Ruyi Ye Tutun Juhana Bo Ai Department of Information Engineering Beijing Polytechnic CollegeBeijing 100042China School of Computer and Information Technology Beijing Jiaotong UniversityBeijing 100044China School of Communication and Information Engineering Xi’an University of Posts and TelecommunicationsXi’an 710121China Chinese National Institute of Standalization Beijing 100088China School of Electrical Engineering and Informatics Institut Teknologi BandungIndonesia State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijing 100044China

Ambient backscatter is a new green technology for Internet of Things(IoT)that utilizes surrounding wireless signals to enable batteryless devices to communicate with other *** battery-free devices first harvest energy from ambient wireless signals and then backscatter the signals for ***,sensitivity and distance are two important parameters for system ***,most existing studies on ambient backscatter communication systems do not consider the impact of the sensitivity of the energy-harvesting nodes and the distances between these *** this paper,we first provide a literature review for ambient communication technology and then take sensitivity and distance as two key parameters and investigate the sensitivity and distance based performance for ambient backscatter communication ***,we establish the mathematical model based on distances between transceivers and backscattering nodes,extract a parameter that can differentiate the direct path and the backscattering path,evaluate the effects of transmit beamforming,design an energy detector for the reader,and analyze the outage probability of energy harvesting at the tag and the bit error rate(BER)at the *** are then provided to corroborate the proposed studies.

关键词： ambient backscatter battery-free tag Internet of Things(IoT) outage probability performance analysis sensitivity transmission distance

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Enhancing Multimodal Information Extraction from Visually Rich Documents with 2D Positional Embeddings

Enhancing Multimodal Information Extraction from Visually Ri...

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Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： Aresha Arshad Momina Moetesum Adnan Ul Hasan Faisal Shafait School of Electrical Engineering and Computer Science (SEECS) National University of Sciences and Technology (NUST) Islamabad Pakistan Deep Learning Laboratory National Center of Artificial Intelligence (NCAI) Islamabad Pakistan

ISBN: (数字)9798350379037

ISBN: (纸本)9798350379044

Visually rich document understanding involves the interpretation of documents with varied formats and complex layouts, including multi-line entities, presenting a significant challenge. This study addresses these challenges by introducing a document comprehension model based on the LayoutLMv3 architecture, incorporating two-dimensional (2D) positional embeddings to capture both row and column information. Additionally, a multi-stage Transformer network is employed for hierarchical processing of document features. The proposed model is evaluated through extensive experiments on FUNSD dataset, achieving improved performance in both text-centric and image-centric document understanding tasks. Results demonstrate enhanced spatial comprehension and computational efficiency as compared to the state-of-the-art, establishing our approach as a significant contribution to the field of visually rich document understanding.

关键词： Computational modeling Two-dimensional displays Digital images Layout computer architecture Transformers Information retrieval Encoding Computational efficiency Usability

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Maximize the Value of Goal-Driven UAV Network Operations Based on Network Intelligence: A Comprehensive Review

IEEE Journal on Miniaturization for Air and Space Systems

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IEEE Journal on Miniaturization for Air and Space Systems 2025年

作者： Qiu, Chen Wang, Xianbin Shen, Weiming Western University Department of Electrical and Computer Engineering LondonONN6A 5B9 Canada Huazhong University of Science and Technology State Key Laboratory of Digital Manufacturing Equipment and Technology Wuhan430074 China

Unmanned Aerial Vehicles (UAVs) have revolutionized various sectors, including remote sensing, surveillance, environmental monitoring, and disaster management. Rapid advancements in wireless communication technologies and situational awareness discovery capabilities present unprecedented opportunities to enhance the intelligence of UAV networks. This review defines UAV network intelligence as the convergence of situational awareness discovery, communication enhancement, and goal-driven intelligent decision-making. Guided by this definition, we explore the key enabling techniques for UAV network situational awareness discovery from UAV states to UAV network environments. To facilitate the awareness discovery, we investigate the integration of advancements in communication technologies, such as massive multiple-input multiple-output, non-orthogonal multiple access, intelligent reflecting surface, and low Earth orbit satellites. Based on the situational awareness and empowered by communication enhancement technologies, we emphasize the overall objective of UAV network intelligence: maximizing the value of goal-driven UAV network operations. This is achieved by exploring recent research efforts in three categories, including 1) iterative optimization methods, 2) learning-based methods, and 3) heuristic methods. Finally, we discuss challenges and future research directions, contributing to the development of more resilient and adaptive UAV network solutions in increasingly complex and dynamic environments. © 2019 IEEE.

关键词： Decision making

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Learning-Based Joint Beamforming and Antenna Movement Design for Movable Antenna Systems

arXiv

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arXiv 2024年

作者： Weng, Caihao Chen, Yuanbin Zhu, Lipeng Wang, Ying State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore

In this paper, we investigate a multi-receiver communication system enabled by movable antennas (MAs). Specifically, the transmit beamforming and the double-side (DS) antenna movement at the transceiver are jointly designed to maximize the sum-rate of all receivers under imperfect channel state information (CSI). Since the formulated problem is non-convex with highly coupled variables, conventional optimization methods cannot solve it efficiently. To address these challenges, an effective learning-based algorithm is proposed, namely heterogeneous multi-agent deep deterministic policy gradient (MADDPG), which incorporates two agents to learn policies for beamforming and movement of MAs, respectively. Based on the offline learning under numerous imperfect CSI, the proposed heterogeneous MADDPG can output the solutions for transmit beamforming and antenna movement in real time. Simulation results validate the effectiveness of the proposed algorithm, and the MA can significantly improve the sum-rate performance of multiple receivers compared to other benchmark schemes. © 2024, CC BY-NC-SA.

关键词： Antennas

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Holographic Planar Arrays-assisted Multi-user Uplink Transmission

Holographic Planar Arrays-assisted Multi-user Uplink Transmi...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Mengyu Qian Li You Xiang-Gen Xia Xiqi Gao National Mobile Communications Research Laboratory Southeast University Nanjing China Purple Mountain Laboratories Nanjing China Department of Electrical and Computer Engineering University of Delaware Newark DE USA

ISBN: (数字)9798350351255

ISBN: (纸本)9798350351262

This paper investigates multi-user uplink transmission facilitated by holographic planar arrays (HPAs). It includes channel modeling and holographic precoding aimed at maximizing system spectral efficiency (SE) in scenarios where both users and base station are equipped with HPAs. First, we develop a holographic multiple-input multiple-output (MIMO) channel model utilizing electromagnetic field equations. Subsequently, we utilize Fourier space basis functions to discretize the continuous holographic MIMO model. Based on the discretized model, we formulate the problem of maximizing the system SE and propose a corresponding iterative water-filling algorithm to tackle it. Finally, we validate the effectiveness of the proposed scheme in enhancing the system SE and investigate the influence of physical size constraints of the transmitting and receiving arrays through simulation results.

关键词： Transmission line matrix methods Spectral efficiency Computational modeling Simulation Precoding Planar arrays Mathematical models Iterative algorithms Resource management Uplink

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Optimal Reliability-Oriented MIMO-NOMA Design with Finite Blocklength

Optimal Reliability-Oriented MIMO-NOMA Design with Finite Bl...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Tianying Zhong Jiaheng Wang Xiang-Gen Xia Xiqi Gao National Mobile Communications Research Laboratory Southeast University Nanjing China Purple Mountain Laboratories Nanjing China Department of Electrical and Computer Engineering University of Delaware Newark DE USA

ISBN: (数字)9798350351255

ISBN: (纸本)9798350351262

Non-orthogonal multiple access (NOMA) has been regarded as a promising technology for next-generation wireless networks. Most of the existing NOMA schemes are designed with the assumption of infinite blocklength (IBL), which may lead to suboptimal performance in practice. This paper investigates the reliability-oriented downlink multiple-input multiple-output (MIMO)-NOMA design with finite blocklength (FBL) transmission. Specifically, we formulate the resource allocation problem to minimize the average block error rate (BLER) of FBL-MIMO-NOMA systems. We obtain the globally optimal solutions to the problem by proposing an efficient power, rate, and blocklength allocation scheme. The superiority of our proposed design is demonstrated via simulation results.

关键词： NOMA Error analysis Simulation Wireless networks Reliability engineering Downlink Minimization MIMO Resource management Next generation networking

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INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings

arXiv

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arXiv 2023年

作者： Kazerouni, Amirhossein Azad, Reza Hosseini, Alireza Merhof, Dorit Bagci, Ulas School of Electrical Engineering Iran University of Science and Technology Iran Institute of Imaging and Computer Vision RWTH Aachen University Germany School of Electrical and Computer Engineering College of Engineering University of Tehran Iran Faculty of Informatics and Data Science University of Regensburg Germany Fraunhofer Institute for Digital Medicine MEVIS Bremen Germany Department of Radiology Northwestern University Chicago United States

Implicit Neural Representations (INRs) have revolutionized signal representation by leveraging neural networks to provide continuous and smooth representations of complex data. However, existing INRs face limitations in capturing fine-grained details, handling noise, and adapting to diverse signal types. To address these challenges, we introduce INCODE, a novel approach that enhances the control of the sinusoidal-based activation function in INRs using deep prior knowledge. INCODE comprises a harmonizer network and a composer network, where the harmonizer network dynamically adjusts key parameters of the activation function. Through a task-specific pre-trained model, INCODE adapts the task-specific parameters to optimize the representation process. Our approach not only excels in representation, but also extends its prowess to tackle complex tasks such as audio, image, and 3D shape reconstructions, as well as intricate challenges such as neural radiance fields (NeRFs), and inverse problems, including denoising, super-resolution, inpainting, and CT reconstruction. Through comprehensive experiments, INCODE demonstrates its superiority in terms of robustness, accuracy, quality, and convergence rate, broadening the scope of signal representation. Please visit the project’s website for details on the proposed method and access to the code. © 2023, CC BY.

关键词： Inverse problems

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Fault tolerant real time monitored elevator system development

Fault tolerant real time monitored elevator system developme...

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14th Mediterranean Conference on Power Generation Transmission, Distribution and Energy Conversion (MEDPOWER 2024)

作者： Vasileios I. Vlachou Theoklitos S. Karakatsanis Antonios G. Kladas Laboratory of Electrical Machines and Power Electronics Department of Electrical and Computer Engineering National Technical University of Athens Iroon Polytechneiou 9 15780 Athens Greece Laboratory of Themodynamics and Thermal Machines Department of Production and Management Engineering Democritus University of Thrace Vas. Sofias 12 67100 Xanthi Greece

ISBN: (数字)9781837242689

The paper presents the development of a fault tolerant electromechanical elevator monitoring system aiming to achieve high safety during operation. The proposed methodology is based on a particular permanent magnet synchonous motor (PMSM) in conjunction with suitable driver system characteristics enabling improvements in overall system reliability. The motor design has been performed by using finite elements analysis (FEA) techniques providing detailed operating characteristics of the target motor. Then the motor has been manufactured and appropriately integrated into an existing elevator system in order to validate its operating performance through measurements. The main objective of the drive tuning is to achieve the best possible preventive maintenance of both the motor and the elevator, respectively. For this purpose, real time monitoring and data collection play a key role enabling fault prediction with appropriate techniques and timely information of the maintenance engineer. In this way, the problem can be repaired rapidly, reducing costs and increasing reliability.

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Research on Rice Disease Identification Based on Improved ShuffleNet V2 Network

Research on Rice Disease Identification Based on Improved Sh...

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computer Technology and Information Science (ISCTIS), International Symposium on

作者： Zhihuan Chen Shenming Gu Minghui Yu Zhaoquan Huang Key Laboratory of Oceanographic Big Data Mining & Application of Zhejiang Province Zhejiang Ocean University Zhoushan China School of Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China College of Mathematics and Computer Science Zhejiang Normal University Jinhua China

ISBN: (数字)9798350354560

ISBN: (纸本)9798350354577

How to efficiently and accurately identify rice diseases plays a crucial role in rice planting and production. Deploying large convolutional neural networks in practical applications is challenging due to their complex model parameters, while lightweight networks often compromise accuracy to reduce model size. In this study, we introduce a lightweight and precise network called GM-ShuffleNet for rice disease recognition. Building upon the ShuffleNet V2 network, we integrated the Ghost module and MCA attention mechanism, adjusted the network structure and number of channels, and replaced the ReLU activation function with Mish. Through comparative experiments, the accuracy of GM-ShuffleNet algorithm proposed in this paper reaches 96.20%, which is superior to ShuffleNet V2 and other excellent lightweight networks. In addition, in terms of model complexity comparison, the number of model parameters and FLOPs decreased by 82.54% and 77.44% respectively compared with the original network.

关键词： Information science Accuracy Attention mechanisms Computational modeling Buildings Production Complexity theory Convolutional neural networks Diseases

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Tailoring Highly Confined Electric-field Based Optical Skyrmions

Tailoring Highly Confined Electric-field Based Optical Skyrm...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： J. Chen X. Shen Y. Zeng Q. Zhan School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China Shanghai Key Laboratory of Modern Optical System University of Shanghai for Science and Technology Shanghai China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375916

Optical skyrmions are quasi-particles with nontrivial topological textures, which hold potential applications in optical information processing, transmission, and storage. There are various three-dimensional physical vectors to construct the optical skyrmions, such as spin skyrmions, Stokes skyrmions, Poynting vector skyrmions, and so on. Here, we present a method to construct tightly focused electric-field skyrmions based on the array antenna radiation theory. A multiple concentric-ring array of dipoles (MCAD) is placed at the focal region of the high numerical aperture (NA) lens to mimic the topological structure of the desired electric field skyrmion, and the radiation pattern of the MCAD is derived to form the incident fields at the pupil planes of the high NA lenses in a 4π focusing setup. The characteristics of the generated focal field are quantitatively evaluated by using the Debye diffraction integral theory. The results demonstrate that two types of electric field vector topologies, i.e., skyrmion and meron, can be created with adjustable polarity, vorticity, and helicity. Additionally, the normal direction of the plane containing the skyrmion or meron can also be customized, increasing the degrees of freedom in tailoring optical skyrmions.

关键词： Electric potential Optical diffraction Information processing Vectors Topology Electric fields Pupils

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