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WiFi CSI Gesture Recognition Based on Parallel LSTM-FCN Deep Space-Time Neural network

China Communications 2021年第3期18卷 205-215页

作者： Zhiling Tang Qianqian Liu Minjie Wu Wenjing Chen Jingwen Huang Guangxi Key Laboratory of Wireless Broadband Communication and Signal Processing Guilin University of Electronic TechnologyGuilin 541004China

In this study,we developed a system based on deep space–time neural networks for gesture *** users change or the number of gesture categories increases,the accuracy of gesture recognition decreases considerably because most gesture recognition systems cannot accommodate both user differentiation and gesture *** overcome the limitations of existing methods,we designed a onedimensional parallel long short-term memory–fully convolutional network(LSTM–FCN)model to extract gesture features of different *** can learn complex time dynamic information,whereas FCN can predict gestures efficiently by extracting the deep,abstract features of gestures in the spatial *** the experiment,50 types of gestures of five users were collected and *** experimental results demonstrate the effectiveness of this system and robustness to various gestures and individual *** analysis of the recognition results indicated that an average accuracy of approximately 98.9% was achieved.

关键词： signal and information processing parallel LSTM-FCN neural network deep learning gesture recognition wireless channel state information

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An Enhanced Synchronization Algorithm Based on Multi-Differential Cross-correlation for Burst signal

An Enhanced Synchronization Algorithm Based on Multi-Differe...

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International Conference on Communication Technology (ICCT)

作者： Jiangwang Peng Yueyan Chu Ce Shi Wenbin Guo Wireless Signal Processing and Network Laboratory Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing P. R. China

ISBN: (数字)9798350363760

ISBN: (纸本)9798350363777

Synchronization is a critical step in burst communication. However, existing methods often perform inadequately under conditions where low signal-to-noise ratio (SNR) and highly dynamic scenarios coexist. To address this issue, this paper proposes an enhanced synchronization algorithm, demonstrating that the joint estimation of multi-branch differential cross-correlation values can significantly improve the SNR of the communication system. Based on this finding, the received signal is initially processed differentially to mitigate the impact of frequency offset. Subsequently, multiple branch paths with varying delay period differentials are generated. The differential sequences are then computed through cross-correlation, and a comprehensive analysis of all cross-correlation values is conducted to enhance the algorithm’s performance. Both theoretical analysis and simulation results indicate that the proposed algorithm effectively improves SNR, and enhance the burst signal synchronization performance.

关键词： Communication systems Heuristic algorithms Simulation Estimation Delays Synchronization Frequency synchronization signal to noise ratio

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A Shared-Aperture Dual-Band Array Antenna Using Gap Waveguide Technology 7

A Shared-Aperture Dual-Band Array Antenna Using Gap Waveguid...

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7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024

作者： Wang, Min Jiang, Jingke Xu, Haibin Luo, Wei Chongqing University of Posts and Telecommunications School of Optoelectronic Engineering Chongqing400065 China Guilin University of Electronic Technology Guangxi Wireless Broadband Communication and Signal Processing Key Laboratory Guilin541004 China

ISBN: (纸本)9798350384437

In this letter, a 2×2 shared-aperture dual-band array antenna is presented, which utilizes gap waveguide technology to achieve wide bandwidth. The proposed dual-band radiating element consists of two layers of open radiating cavities and a metal cover plate. The cavities are designed as hexagonal structures of different sizes. The lower and upper radiating cavities operate in X-band and Ku-band, respectively. The upper cavity is placed orthogonally relative to the lower cavity for generating different line polarizations and improving the isolation between them. Each cavity is fed by a separate groove gap waveguide. An array is formed and simulated using the proposed dual-band radiating elements. The simulation results show that the -10.0 dB impedance bandwidth of the proposed antenna are 9.8-11.0 GHz in X-band and 14.7-19.0 GHz in Ku-band, respectively. The realized gains are 14.7 dBi (at 10.0 GHz) and 16.7 dBi (at 15.5 GHz) in two different polarizations. © 2024 IEEE.

关键词： Microwave antennas

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Contention-Aware Microservice Deployment in Collaborative Mobile Edge networks

arXiv

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arXiv 2024年

作者： Ge, Xinlei Li, Yang Zhang, Xing Sun, Yukun Zhao, Yunji Wireless Signal Processing Network Laboratory Beijing University of Posts and Telecommunications Beijing100876 China

As an emerging computing paradigm, mobile edge computing (MEC) provides processing capabilities at the network edge, aiming to reduce latency and improve user experience. Meanwhile, the advancement of containerization technology facilitates the deployment of microservice-based applications via edge node collaboration, ensuring highly efficient service delivery. However, existing research overlooks the resource contention among microservices in MEC. This neglect potentially results in inadequate resources for microservices constituting latency-sensitive applications, leading to increased response time and ultimately compromising quality of service (QoS). To solve this problem, we propose the Contention-Aware Multi-Application Microservice Deployment (CAMD) algorithm for collaborative MEC, balancing rapid response for applications with low-latency requirements and overall processing efficiency. The CAMD algorithm decomposes the overall deployment problem into manageable sub-problems, each focusing on a single microservice, then employs a heuristic approach to optimize these sub-problems, and ultimately arrives at an optimized deployment scheme through an iterative process. Finally, the superiority of the proposed algorithm is evidenced through intensive experiments and comparison with baseline algorithms. Copyright © 2024, The Authors. All rights reserved.

关键词： Mobile edge computing

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Precoding Schemes for wireless Beam Modulation System

Precoding Schemes for Wireless Beam Modulation System

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IEEE Conference on Vehicular Technology (VTC)

作者： Xiao Chen Congxi Liu Xinyan Yu Hang Long Wireless Signal Processing and Network Lab. Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9798350387414

ISBN: (纸本)9798350387421

Millimeter wave communication systems offer a new perspective for addressing bandwidth congestion, but their high hardware cost and power consumption limit their application in Internet of Things (IoT) devices. A wireless beam modulation (WBM) system has been proposed as a cost-effective alternative. The patch antenna array on the IoT nodes formulates two transmit beams with different directions. Information bits are transmitted through the energy difference of aligned beams by WBM. However, challenges arise from the random emission of beams and the avoidance of complex data processing, resulting in signal attenuation and reduced communication quality. In this paper, the optimal precoding scheme is first derived, and then we design a manifold optimization-based precoding scheme that directly handles the constant modulus constraint of the precoding vectors. Simulation results show that the proposed precoding scheme achieves a significant performance improvement over existing ones and performs close to the theoretical upper bound when the gains of the different paths in the channel are fairly consistent.

关键词： wireless communication Vehicular and wireless technologies Upper bound Precoding Simulation Transmitting antennas Modulation

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Ultra-wideband polarization conversion metasurface at microwave frequencies 7

Ultra-wideband polarization conversion metasurface at microw...

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Plasmonics VII 2023

作者： Deng, Weiping Lu, Lucong Guilin University of Electronic Technology School of Information and Communication Guilin541004 China Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing Guilin541004 China

ISBN: (纸本)9781510667976

We propose an ultra-wideband polarization-conversion metasurface using a rectangular split-ring resonator (SRR) with two splits. The metasurface is numerically designed on an FR4 dielectric substrate backed by a metallic ground plane. The broadband characteristic is optimized by the genetic optimization algorithm, from which the unit cell generates a 3 dB fractional bandwidth from 5.45-15.46 GHz. This wideband polarization conversion results from multiple plasmonic resonances occurring at three neighboring frequencies (6.736, 7.367, and 13.716 GHz), and polarization conversion efficiency reaches 100% at three plasmon resonances. Owing to the subwavelength unit cell size and the rectangular SRRs, the response of the metasurface is independent of the polarization and incidence angle of the incoming wave, which show great practical application value and practical application prospects in optoelectronic devices, remote sensing, communication, and detection. © 2023 SPIE. All rights reserved.

关键词： Conversion efficiency

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Offshore ship classification based on Mel-frequency Cepstral Coefficients of main intrinsic mode 4

Offshore ship classification based on Mel-frequency Cepstral...

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4th International Conference on Electronic Information Engineering and Computer Communication, EIECC 2024

作者： Ma, Chi-Yuan Jin, Shu-Ya Fan, Ya-Xian Tao, Zhi-Yong Guilin University of Electronic Technology Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing Guilin541004 China Guilin University of Electronic Technology Academy of Marine Information Technology Beihai536000 China

ISBN: (纸本)9798331534622

Recognition of ship-radiated noise is essential for advancing ship automation, marine resource exploration, and underwater operations. This study presents a novel recognition method for ship signals that integrates the variational mode decomposition (VMD) with Mel-frequency cepstral coefficients (MFCC). The method decomposes ship-radiated noise into the intrinsic mode functions (IMFs) and selects the top IMF that predominantly contributes to the signal's energy, which is then used to extract the MFCC of the ship-radiated noise signals. The extracted MFCC features are used to recognize different ships with the support vector machine (SVM). The experimental results show that this method achieves an average recognition rate exceeding 98% for the three types of ship-radiated noises across ShipsEar database. The proposed VMD-MFCC-SVM (VMS) not only enhances the recognition of ship signals, but also offers a promising approach for the identification of ship signals, highlighting its substantial potential for practical applications. © 2024 IEEE.

关键词： Variational mode decomposition

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Energy-Efficient UAV-Based IoT Communications With WiFi Suppression in 5 GHz ISM Bands

Energy-Efficient UAV-Based IoT Communications With WiFi Supp...

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作者： Lin, Deping Zuo, Peiliang Peng, Tao Qian, Rongrong Wang, Wenbo Beijing University of Posts and Telecommunications Wireless Signal Processing and Network Laboratory Key Laboratory of Universal Wireless Communication Ministry of Education Beijing100876 China Beijing Institute of Electronic Science and Technology Department of Electronics and Communication Engineering Beijing100070 China Beijing University of Posts and Telecommunications School of Artificial Intelligence Beijing100876 China

Unmanned Aerial Vehicle (UAV) based communication is a promising technology for offering wireless communication services. UAVs can typically be adopted as aerial base stations to collect data from ground Internet of Things (IoT) devices. However, the Ground-to-Air link of UAV-based IoT communications is prone to be interfered by surrounding WiFi devices in the Industrial, Scientific, Medical (ISM) band. This paper aims to enable reliable uplink communications for IoT devices in 5 GHz ISM bands, thereby reducing the hover time and energy consumption of the UAV. To this end, we first study and design suppression frames suitable for WiFi devices. Then a suppression method is proposed, which is shown to be effective for all the tested devices, based on emulation performance verification of the frames for multiple commercial off-the-shelf (COTS) WiFi devices. Moreover, by taking the energy consumption of the UAV and multiple transmission parameters of the suppression method into account, we formulate an optimization problem for the desired uplink, which is designed to minimize the energy consumption of the UAV, under the constraints of satisfying the link channel capacity. Given that the optimization problem is non-convex mixed-integer nonlinear programming, this paper proposes an efficient algorithm that takes advantage of the suppression performance of the utilized frames. Numerical simulations demonstrate the performance of the proposed algorithm in terms of the WiFi device density, UAV weight, channel capacity requirement and parameters of the suppression method. The communication quality of the desired Ground-to-Air link is shown to be significantly improved, while the consumed energy is demonstrated to be obviously reduced. © 1967-2012 IEEE.

关键词： Internet of things

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A multi-mode excitation metasurface for microscale molecular thin film recognition and refractive index sensing 2

A multi-mode excitation metasurface for microscale molecular...

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2nd International Conference on Optical Communication and Optical Information processing, OCOIP 2024

作者： Li, Zhenyu Wu, Tiesheng Lan, Yujing Feng, Changpeng Cheng, Xin Huang, Yingshuang Tang, Yingtao Li, Hongyun Peng, Yiwei Guangxi Key Laboratory of Wireless Broadband Communication and Signal Processing School of Information and Communication Guilin University of Electronic Technology Guilin541004 China The Electronic Fifth Institute of the Ministry of Industry and Information Technology Guangzhou511370 China

ISBN: (数字)9781510688995

ISBN: (纸本)9781510688988

We propose a multi-mode all-dielectric metasurface using toroidal dipole (TD) resonance for microscale molecular recognition and refractive index sensing. CST electromagnetic simulation shows two mid-infrared resonance peaks with high sensitivity to refractive index and incident angle changes. The sensor has a theoretical Q value of 1.09×10^5 and can recognize AG proteins with significant mid-infrared absorption enhancement. It also has a high refractive index sensitivity with an FOM of 501.2. This provides a basis for the development of nanophotonics and ultra-sensitive optical sensors. © 2025 SPIE.

关键词： Infrared absorption

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Communication efficiency optimization of federated learning for computing and network convergence of 6G networks

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Frontiers of Information Technology & Electronic Engineering 2024年第5期25卷 713-727页

作者： Yizhuo CAI Bo LEI Qianying ZHAO Jing PENG Min WEI Yushun ZHANG Xing ZHANG Wireless Signal Processing and Network Laboratory Beijing University of Posts and TelecommunicationsBeijing 100876China Research Institute of China Telecom Co. Ltd.Beijing 102209China Beijing Telecom Beijing 100011China

Federated learning effectively addresses issues such as data privacy by collaborating across participating devices to train global ***,factors such as network topology and computing power of devices can affect its training or communication process in complex network *** and network convergence(CNC)of sixth-generation(6G)networks,a new network architecture and paradigm with computing-measurable,perceptible,distributable,dispatchable,and manageable capabilities,can effectively support federated learning training and improve its communication *** guiding the participating devices'training in federated learning based on business requirements,resource load,network conditions,and computing power of devices,CNC can reach this *** this paper,to improve the communication eficiency of federated learning in complex networks,we study the communication eficiency optimization methods of federated learning for CNC of 6G networks that give decisions on the training process for different network conditions and computing power of participating *** simulations address two architectures that exist for devices in federated learning and arrange devices to participate in training based on arithmetic power while achieving optimization of communication efficiency in the process of transferring model *** results show that the methods we proposed can cope well with complex network situations,effectively balance the delay distribution of participating devices for local training,improve the communication eficiency during the transfer of model parameters,and improve the resource utilization in the network.

关键词： Computing and network convergence Communication efficiency Federated learning Two architectures

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