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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Liu, Kaixin Zhong, Xin Chen, Ping Dai, Yun Liu, Yi North University of China The State Key Lab for Electronic Testing Technology China North University of China Department of Information and Communication Engineering Taiyuan030051 China College of Mechanical Engineering Nantong Vocational University Nantong226007 China Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou310023 China

ISBN: (纸本)9798350361674

In recent years, various methods for processing and analyzing thermographic data have been applied in non-destructive testing to improve the visibility of defects. Representatively, traditional linear dimensionality reduction methods (e.g. principal component analysis) have achieved good results in thermographic data analysis. In this work, a slow feature thermography (SFT) method for non-destructive evaluation of defects in composite materials. Thermographic data can be regarded as a continuous time series generated by an infrared imager at different moments. Slow feature analysis algorithm is subsequently used to extract slow features of the thermal image sequence. Slow features refer to features that are unchanged or slowly changing in time-series data, such as the background of a thermal image. By extracting the slow features of data, the inhomogeneous background, noise and defect features contained in thermal images can be effectively distinguished. Test results on carbon fiber reinforced polymer specimens demonstrate the feasibility and effectiveness of the SFT method. © 2024 IEEE.

关键词： Carbon fiber reinforced plastics

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Energy Minimization Oriented Resource Allocation for Relay Assisted NOMA-MEC Networks

Energy Minimization Oriented Resource Allocation for Relay A...

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IEEE Conference on Global communications (GLOBECOM)

作者： Qianru Wang Liping Qian Yuan Wu Xiaoniu Yang College of Information Engineering Zhejiang University of Technology Hangzhou China State Key Laboratory of Internet of Things for Smart City University of Macau China Science and Technology on Communication Information Security Control Laboratory Jiaxing China Institute of Cyberspace Security Zhejiang University of Technology Hangzhou China

ISBN: (数字)9798350351255

ISBN: (纸本)9798350351262

With the growing demand for image transmission, there is a need for solutions that offer low energy consumption and low latency. In this paper, we present a novel relay-assisted system based on non-orthogonal multiple access (NOMA) and mobile edge computing (MEC). Our proposed system compresses images at the device end, decompresses them at either a relay or a cloud server (CS). The primary objective is to minimize system energy consumption under given task delay constraints. Considering that this is a non-convex optimization problem, we solve it by decomposing it into a continuous subproblem and a discrete subproblem. To solve the continuous subproblem, we convexify it by introducing new parameters and change variables to get the optimal the computing power of devices, relay and CS, sampling rate of devices, transmission power of devices and relay. To solve the discrete subproblem, we propose a cross-entropy (CE) algorithm to obtain the optimal decompression decision and subcarrier allocation decision. Simulation results demonstrate the accuracy and effectiveness of our algorithm in optimizing total energy consumption compared to the Linear Interactive and General Optimizer (LINGO) and frequency division multiple access (FDMA) methods.

关键词： Performance evaluation NOMA Energy consumption Image coding Multi-access edge computing Simulation Optimization methods Resource management Servers Relays

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Cooperative Local Path Planning for Multi-unmanned Vehicles Formation Using the Enhanced Artificial Potential Field 3rd

Cooperative Local Path Planning for Multi-unmanned Vehicles...

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3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Zhang, Xin Duan, Xuting Zhou, Jianshan Zhang, Long Opening Project of Key Laboratory of Operation Safety Technology on Transport Vehicles Ministry of Transport PRC Beijing China School of Transportation Science and Engineering Beihang University Beijing China State Key Lab of Intelligent Transportation System Beijing China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beijing China Zhongguancun Laboratory Beijing China National Key Laboratory of Science and Technology on Information System Security Institute of Systems Engineering Beijing China

ISBN: (纸本)9789819711024

An enhanced approach utilizing APF(artificial potential field) method is introduced in this paper. By adopting this approach, the challenge of local minima that may occur when dealing with local path planning for unmanned vehicles is tackled. When the unmanned vehicle approaches an obstacle, a virtual attractive potential field is implemented, utilizing the deviation in the heading angle of the vehicle to control the steering angle. Consequently, the vehicle can avoid obstacles, resolving the issue of local minima and enabling its application in path planning for multi-unmanned vehicles. The ROS with Gazebo simulation platform is used to verify the enhanced algorithm’s effectiveness in multi-unmanned vehicle path planning in an unknown environment. © Beijing HIWING Scientific and Technological information Institute 2024.

关键词： Motion planning

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A Miniaturized Dual-Band Dual-Polarized Shared-Aperture Antenna with PRS and Half-Wave Slots

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IEEE Antennas and Wireless Propagation Letters 2025年

作者： Sun, Tong-Shuai Chen, Hao Zhan, Jun-Lin Liu, Zhen-Guo Sun, Lu-Yang Geng, Ming-Yang Chen, Ze-Hui Lu, Wei-Bing Southeast University State Key Lab of Millimeter Waves School of Information Science and Engineering Center for Flexible RF Technology Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China

This letter presents a miniaturized dual-band dual-polarized shared-aperture antenna with square annular partially reflecting surfaces (PRSs) and half-wave slots. The antenna element is a dual-polarized cardioid dipole antenna. Four half-wave slots etched into the reflector enhance the gain of the low-band antenna by 3 dB. Then, the miniaturized PRSs are designed to reduce the whole size and optimize the radiation patterns of the high-band subarrays. The proposed antenna covers bands ranging from 0.69 to 0.96 GHz (32.7%) and 1.71 to 2.69 GHz (45%). Experimental results indicate that the proposed shared-aperture antenna features stable radiation patterns and wide bandwidth. The cross-polarization isolation of all ports is higher than 21 dB. The overall size of the proposed antenna is only 0.55λL0 × 0.69λL0 × 0.27λL0 © 2002-2011 IEEE.

关键词： Dipole antennas

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Semi-Distributed Hybrid Beamforming Design for Cooperative Cell-Free Dual-Function Radar-communication Networks

Semi-Distributed Hybrid Beamforming Design for Cooperative C...

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Acoustics, Speech, and Signal Processing Workshops (ICASSPW), IEEE International Conference on

作者： Bowen Wang Lingyun Xu Ziyang Cheng Zishu He Sch. of Information & Communication Eng. University of Electronic Science & Technology China School of Electronics & Electrical Engineering University of Glasgow Scotland UK Guangdong Key Lab. of Intelligent Information Processing & Shenzhen Key Lab. of Media Security

To improve both radar sensing and communication performances, this paper proposes a cooperative cell-free dual-function radar-communication (CCF-DFRC) network with hybrid beamforming (HBF) architecture. In the proposed CCF-DFRC network, multiple access points cooperatively provide communication services to users and detect multiple targets of interest. To show the benefits of the CCF-DFRC network, we formulate the joint HBF design problem to maximize the network communication capacity while satisfying the constraint of beampattern similarity for radar sensing. To solve the resulting high-dimensional and non-convex problem, a semi-distributed algorithm based on alternating optimization is proposed. Simulation results are provided to verify the effectiveness of the proposed algorithm and show the considerable potential of deploying CCF-DFRC networks.

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Hybrid Beamforming Design for OFDM Dual-Function Radar-communication System with Double-Phase-Shifter Structure

Hybrid Beamforming Design for OFDM Dual-Function Radar-Commu...

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European Signal Processing Conference (EUSIPCO)

作者： Bowen Wang Ziyang Cheng Linlong Wu Zishu He Sch. of Information & Communication Eng. University of Electronic Science and Technology of China Guangdong Key Lab. of Intelligent Information Processing & Shenzhen Key Lab. of Media Security Interdisciplinary Centre for Security Reliability and Trust (SnT) University of Luxembourg

ISBN: (数字)9789082797091

ISBN: (纸本)9781665467995

In this paper, the problem of the hybrid beamforming (HBF) for a millimeter wave (mmWave) orthogonal frequency division multiplexing (OFDM) dual-function radar-communication (DFRC) system in the presence of signal-dependent interference is studied. The HBF network is based on the subarray connection architecture combining with the double-phase-shifter (DPS) structure. To achieve the dual functionality, we formulate the problem by maximizing the communication spectral efficiency subject to the constraints of radar integrated side-lobe to main-lobe ratio (ISMR), space-frequency nulling (SFN) and energy. An efficient algorithm based on the consensus alternating direction method of multipliers (CADMM) frame-work is developed to tackle the resultant nonconvex problem. Simulation results demonstrate the superiority of the proposed DPS structure and HBF algorithm.

关键词： Array signal processing Spectral efficiency OFDM Simulation Spaceborne radar Signal processing algorithms Interference

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Bayesian Framework for Multi-User Cooperative Radio SLAM 35

Bayesian Framework for Multi-User Cooperative Radio SLAM

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35th IEEE International Symposium on Personal, Indoor and Mobile Radio communications, PIMRC 2024

作者： Que, Hang Yang, Jie Du, Tao Xia, Shuqiang Wen, Chao-Kai Jin, Shi Southeast University National Mobile Communications Research Laboratory Nanjing211189 China Southeast University Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Zte Corporation Shenzhen518001 China State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen518001 China Institute of Communications Engineering National Sun Yat-sen University Kaohsiung804 Taiwan

ISBN: (纸本)9798350362244

The advancement of millimeter-wave communication technology heralds new sensing capabilities. By leveraging channel multipath parameter estimates, we can harness simultaneous localization and mapping (SLAM) for precise user equipment (UE) localization and radio map construction in 6 G communication systems. Particularly in multi-UE scenarios, SLAM empowers base stations to amalgamate the local radio maps of various UEs efficiently. This study introduces a novel Bayesian framework specifically designed for multi-UE SLAM, complemented by a tailored factor graph. We also unveil a two-stage multi-UE SLAM algorithm. Our simulation results reveal that this algorithm substantially enhances radio map construction accuracy by 4 8. 5 % and UE localization accuracy by 13.5 %, outperforming single-UE cases. Moreover, the algorithm demonstrates remarkable adaptability to environmental changes, showcasing its potential for long-term evolution in dynamic settings. © 2024 IEEE.

关键词： Long Term Evolution (LTE)

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Learning-Driven Transmission Latency Minimization in EH-Relay Assisted IoT Networks

Learning-Driven Transmission Latency Minimization in EH-Rela...

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IEEE Conference on Global communications (GLOBECOM)

作者： Qianru Wang Li Ping Qian Mingqing Li Wei Jiang Yuan Wu Xiaoniu Yang College of Information Engineering Zhejiang University of Technology Hangzhou Zhejiang China State Key Laboratory of Internet of Things for Smart City University of Macau Macao SAR China Science and Technology on Communication Information Security Control Laboratory Jiaxing China Institute of Cyberspace Security Zhejiang University of Technology Hangzhou China

Internet of Things (IoT) is one of the key applications of 5G, and the data transmission is the basis of IoT networks. In this paper, we investigate the data transmission scheme in non-orthogonal multiple access (NOMA) for IoT networks to minimize the transmission latency. In order to improve the communication efficiency between devices and the base station (BS) without more energy consumption, we deploy an energy harvesting (EH) relay node between devices and the BS for data transmitting and forwarding. Based on this networking model, we first aim at minimizing the transmission latency by jointly optimizing the transmit power of devices and the relay, forwarding ratios among devices, and forwarding time fraction when transmitting a fixed data bits from devices to the BS via the relay under the constraints of energy buffer and data buffer. Noted that the formulated problem is discrete-continuous mixed and non-convex, we apply the deep deterministic policy gradient (DDPG) algorithm in the framework of bisection searching to obtain the optimal solution. Specifically, the bisection searching is used to seek the possible transmission latency, and the DDPG is to check the feasibility of the chosen transmission latency. Finally, the effectiveness of the proposed model-data-driven algorithm is verified by comparing it with other benchmark algorithms, such as LINGO.

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Energy Minimization with Secrecy Provisioning in Federated Learning-Assisted Marine Digital Twin Networks

Energy Minimization with Secrecy Provisioning in Federated L...

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IEEE International Conference on communications (ICC)

作者： Li Ping Qian Mingqing Li Xinyu Dong Yuan Wu Xiaoniu Yang College of Information Engineering Zhejiang University of Technology Hangzhou Zhejiang China State Key Laboratory of Internet of Things for Smart City University of Macau Macao SAR China Science and Technology on Communication Information Security Control Laboratory Jiaxing China Institute of Cyberspace Security Zhejiang University of Technology Hangzhou China

Digital twin has been emerging as a promising paradigm that connects the physical entities and digital space, and continuously evolves and optimizes the physical systems. In this paper, we focus on studying the efficient data communication and computation when constructing the marine digital twin network with secrecy provisioning. Specifically, we leverage the federated learning (FL) to train the digital twin model. In the process of FL, all unmanned surface vehicles (USVs) deliver the trained models with non-orthogonal multiple access (NOMA) to the high altitude platform (HAP) for the global model aggregation. Considering the possible eavesdropping on the HAP, we utilize the chaotic sequences to spread the model information during the global model broadcasting. In this framework, we further want to minimize the total energy consumption of completing the digital twin training by jointly optimizing the global accuracy, local accuracy, HAP's transmission power, and model uploading duration subject to the secrecy provisioning and latency constraint. Despite the non-convexity, we propose a low-complexity search algorithm (LCS-Algorithm) to solve this joint optimization problem. Finally, the numerical results validate the performance of the proposed algorithm in terms of optimality and time efficiency.

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On-Body Antenna with Ultra-Wide Operation Band and Dynamically Broad Notch Band for IoT Applications

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IEEE Internet of Things Journal 2025年第12期12卷 21144-21157页

作者： Chen, Zhao-Min Liang, Xinhua Li, Jia-Ning Chen, Ze-Hui Yang, Wu Lu, Wei-Bing Nanjing University of Aeronautics and Astronautics Department of Electronic and Information Engineering Nanjing211106 China Southeast University State Key Lab of Millimeter Waves School of Information Science and Engineering Center for Flexible RF Technology Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China

This paper presents an on-body antenna characterized by low structural complexity, low spatial power density (SPD), and high robustness. This antenna features unique dual-wideband capability, offering ultra-wideband operating frequency bands along with dynamic wideband notch tunability. This design aims to support simultaneous multi-user IoT operation while intelligently mitigating in-band interference from unwanted users. This achievement is realized through a novel approach using a reconfigurable quasi-spoof surface plasmon polaritons (Q-SSPP) waveguide filter as the feedline for a substrate-integrated waveguide (SIW) antenna, allowing tuning of band-notched characteristics via varactor diodes on the SSPP element. Enhanced bandwidth performance is achieved by etching gradient rectangular slots on the open-ended SIW and implementing a transition from grounded coplanar waveguide (GCPW) to SIW with tapered coupling slots. Conductive fibers effectively bond the flexible foam substrate with a conductive thin copper film, forming the prototype. The prototype antenna operates across 9.4 to 29 GHz with an average gain of 9.0 dBi and features a dynamically tunable 2 GHz rejection bandwidth within the 14 to 26 GHz range, adjusted via variable capacitors in loaded varactors. The antenna maintains consistent performance under deformation and exhibits reliable wireless signal transmission in experiments. © 2014 IEEE.

关键词： Coplanar waveguides

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