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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...

引用

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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Automatic Detection of Morse with Wideband Receiver 21

Automatic Detection of Morse with Wideband Receiver

引用

21st IEEE International Conference on communication technology, ICCT 2021

作者： Cheng, Hui Wang, Feng Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China The 36th Research Institute of China Electronics Technology Group Corporation Jiaxing314033 China

ISBN: (纸本)9781665432061

Morse communication is widely used in the field of land, water and air transportation and military communication, and especially plays a great role in military communication as a necessary means. Morse signals have noise interference inevitably in the process of HF channel transmission. Because of the noise has greatly harmed to human body, it increases the Labor intensity of copy personnel, especially for that long time engaged in HF Morse copy work. To solve the problem that receiving of Morse signals requires manual operation, this paper presents a solution to automatically detect Morse signals with a wideband receiver. The solution features equipment miniaturization, enables Morse signals to be received in full frequency and time domain and gets rid of manual work. It also allows real-time access to the situation of HF Morse signals. © 2021 IEEE.

关键词： Air transportation

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A USRP-Based Testbed for Dual Mode Passive Radar 21

A USRP-Based Testbed for Dual Mode Passive Radar

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21st IEEE International Conference on communication technology, ICCT 2021

作者： Zhu, Huijie Zhang, Lan Wang, Yiteng Shen, Libo Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China The 36th Research Institute of China Electronics Technology Group Corporation Jiaxing314033 China

ISBN: (纸本)9781665432061

This paper presents a dual mode passive radar with alternative localization mechanisms of time difference of arrival (TDOA)-direction of arrival (DOA) mode and multi-TDOA mode. For demonstration and validation, a high-performance testbed is needed with the characteristics of wide dynamic range, multichannel, time-frequency synchronization and flexible local oscillator mechanism. To realize these features, an Ettus X310 universal software radio peripheral (USRP) is utilized for integration in the passive radar hardware platform. Processing algorithms for the multi-channel signals acquired by the X310 is implemented in real-time with the graphics processing unit (GPU) embedded in a server computer. Outdoor detections of small unmanned aerial vehicle with the dual mode operation of the testbed show a meter-level accuracy. © 2021 IEEE.

关键词： Graphics processing unit

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Performance Analysis of Underwater Acoustic Automatic Modulation Classification System with Machine Learning 21

Performance Analysis of Underwater Acoustic Automatic Modula...

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21st IEEE International Conference on communication technology, ICCT 2021

作者： Zhang, Lan Zhu, Huijie Sun, Wei Zhou, Qing Science and Technology on Communication Information Security Control Laboratory Jiaxing314000 China The 36th Research Institution of China Electronics Technology Group Corporation Jiaxing341000 China

ISBN: (纸本)9781665432061

Underwater acoustic (UWA) channel is a triple-selective fading channel in time, space and frequency as a result of its lower sound speed and its complicated boundaries in the ocean. It is very difficult to realize a successful classification of the communication signal modulation within a single feature in such harsh channel. The feature extraction is much more sensitive to the environmental parameters and signals. In this paper, an automatic modulation classification (AMC) system based on machine learning is established in order to improve the correction rate of AMC for the several common modulation types. In the case of extracting the feature, the machine learning algorithms, including Support Vector Machine (SVM), k-Nearest Neighbor (KNN), Classification and Regression Tree (CART) are adopted. The performance comparison of these three algorithms is implemented through the simulation data analysis, which would denote how the UWA multipath channel, the signal noise ratio (SNR) affects the performance of the proposed system. © 2021 IEEE.

关键词： Underwater acoustic communication

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The Multi-Dimensional Scaling Algorithm with Centroid as Reference Point for Location in Wireless Senso Network 21

The Multi-Dimensional Scaling Algorithm with Centroid as Ref...

引用

21st IEEE International Conference on communication technology, ICCT 2021

作者： Bin, Jiang An'Nan, Lu Mingyi, You Yunxia, Ye Kai, Huang Binhua, Shi Science and Technology on Communication Information Security Control Laboratory Zhejiang Jiaxing China The 36th Research Institute of China Electronics Technology Group Corporation Zhejiang Jiaxing China

ISBN: (纸本)9781665432061

The multi-dimensional scaling(MDS) method is a kind of method used to analyze distance matrix or dissimilarity matrix to form data points in low-dimensional space. MDS algorithm uses the distance information between nodes in wireless sensor networks to estimate the relative location of nodes. Classical multi-dimensional scaling algorithm chooses any node in the network as reference point to estimate node location. With the increase of distance measurement error, the node position error estimated by this method also increases significantly. In order to improve the location performance, this paper proposes an MDS algorithm based on the centroid of all nodes in the network as a reference point, and derives the calculation formula of MDS algorithm based on centroid as reference point. Compared with the classical MDS algorithm, the simulation results show that the MDS algorithm base on centroid as the reference point has better positioning results. © 2021 IEEE.

关键词： Location

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100 km Discrete-Modulated Continuous-Variable Quantum Key Distribution Using Probabilistic Shaped 16QAM

100 km Discrete-Modulated Continuous-Variable Quantum Key Di...

引用

Asia communications and Photonics Conference and Exhibition (ACP)

作者： Yan Pan Mingze Wu Heng Wang Yun Shao Jinlu Liu Yang Li Yichen Zhang Wei Huang Bingjie Xu National Key Laboratory of Security Communication Institute of Southwestern Communication Chengdu China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing China

We first experimentally demonstrated discretemodulated continuous-variable quantum key distribution over 100.93 km of standard single-mode fiber using probabilistic shaped 16QAM. The results show that a secret key rat... 详细信息

ISBN: (数字)9798350379266

ISBN: (纸本)9798350379273

关键词： Protocols Noise reduction Asia Estimation Probabilistic logic Optical fiber communication Quantum key distribution System analysis and design Standards Photonics

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Non-line-of-Sight Recognition Algorithm Based on Deep Learning

Non-line-of-Sight Recognition Algorithm Based on Deep Learni...

引用

International Conference on Internet of Things, communication and Intelligent technology, IoTCIT 2022

作者： Zhang, Chengjun Wang, Hongmei Wang, Zhiwei Wang, Faguang Min, Minghui Li, Shiyin School of Information and Control Engineering China University of Mining and Technology Jiangsu Xuzhou221116 China Xuzhou First People’s Hospital Xuzhou221116 China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education and School of Cyber Science and Engineering Wuhan University Wuhan430072 China

ISBN: (纸本)9789819904150

With the development of the information age, large indoor places such as hospitals, mines and factories have higher and higher requirements for indoor positioning. GPS and other common outdoor positioning methods cannot meet the requirements of accurate indoor navigation. Ultra-wideband is widely used in indoor places because of its strong anti-interference and high accuracy. Accurate identification of errors in UWB indoor non-visual range helps to improve the data for positioning. Therefore, this study combined with convolutional neural network to solve the problem of low recognition rate of non-line-of-sight signals in indoor scenes, and proposed an improved convolutional neural network based on empirical mode decomposition (EMD), wavelet domain denoising (WD) and improved CNN) fusion model EMD-WD-CNN. First, the channel impulse response signal of UWB is denoised based on the EMD-WD algorithm, and then the denoised signal is used as the input of the CNN model for training. The comparison based on similar algorithms shows that the improved CNN model can significantly improve the line-of-sight and NLOS recognition rate of different media in indoor environment. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Empirical mode decomposition

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A Signal Demodulation Algorithm Based on Generative Adversarial Networks 3

A Signal Demodulation Algorithm Based on Generative Adversar...

引用

3rd IEEE International Conference on Civil Aviation Safety and information technology, ICCASIT 2021

作者： Lijun, Wang Minghong, Zhang Yu, Han Lei, Shen Science and Technology on Communication Information Security Control Laboratory The 36th Research Institute of China Electronics Technology Group Corporation Jiaxing China School of Communication Engineering Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9781665425186

In recent years, extensive research has been done to obtain better demodulation performance by combining signal demodulation with deep learning algorithms, such as convolutional neural networks (CNN). However, the demodulation performance of CNN is not much improved compared with traditional coherent demodulation algorithms. This paper proposes a signal demodulation algorithm based on generative adversarial networks (GAN). The proposed GAN-based demodulation network uses the confrontation characteristics between the generator and the discriminator in GAN to greatly improve the demodulation ability of the signal. Numerical results show that the demodulation performance is better than the coherent demodulation algorithm and the CNN-based demodulation algorithm. © 2021 IEEE

关键词： Demodulation

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A Modulation Recognition Algorithm for Analog and Digital Mixed Signals Based on Multidimensional Features 6

A Modulation Recognition Algorithm for Analog and Digital Mi...

引用

6th IEEE International Conference on Computer and communication Systems, ICCCS 2021

作者： Bin, Jang Wei, Wu Xilin, Wang Lei, Shen 36th Research Institute of China Electronics Technology Group Corporation Science and Technology on Communication Information Security Control Laboratory Jiaxing China School of Communication Engineering Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9780738126043

Aiming at the problem of mixed signal recognition, this paper proposes a modulation recognition algorithm based on multidimensional features of all digital receiver. Use the features of demodulated signal, such as constellation quadrant distribution, frequency tracking distribution distance and baseband data distribution distance, realized the recognition of A/D mixed signal in dense environment. Theoretical analysis and simulation results show that this algorithm has better performance than the widely used modulation recognition algorithm based on cyclic spectrum and higher-order spectrum. It has fewer requirements for prior information and synchronization, and it is easy to be implemented. © 2021 IEEE.

关键词： Modulation

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A Study on Resource Allocation for Mobile Edge Computing-Assisted Industrial Iot

A Study on Resource Allocation for Mobile Edge Computing-Ass...

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Networks, communications and Intelligent Computing (NCIC), International Conference on

作者： Jie Lu Yuexia Zhang Junjie Li Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing China Key Laboratory of Modern Measurement Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (数字)9798350371949

ISBN: (纸本)9798350371956

Since the advancement of mobile communication technology, traditional industries are gradually transforming and upgrading, which leads to problems such as insufficient computing resources and excessive energy consumption of Internet of Things (IoT) devices. To address this issue, a resource allocation algorithm for the mobile edge computing-assisted industrial IoT (IIoT) is proposed. First, a mobile edge computing-assisted IIoT network model was constructed. Using the collaboration between IoT devices, mobile edge computing (MEC) servers, and cloud servers, the issue of minimizing all IIoT devices energy cost was proposed. Subsequently, in order to address the optimization issue, obtain its optimal solution, the alternating direction method of multipliers (ADMM) algorithm is introduced. Finally, the ADMM algorithm's convergence was verified through an experimental simulation. In contrast to baseline algorithm 1 and algorithm 2, the ADMM algorithm can significantly diminish energy cost, proving the effectiveness of the proposed scheme.

关键词： Energy consumption Cloud computing Costs Computational modeling Convex functions Servers Resource management

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