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Quantum Remote State Preparation Based on Quantum Network Coding

Computers, Materials & Continua 2022年第10期73卷 119-132页

作者： Zhen-Zhen Li Zi-Chen Li Yi-Ru Sun Haseeb Ahmad Gang Xu Xiu-Bo Chen School of Information Engineering Beijing Institute of Graphic CommunicationBeijing102600China School of Computer Science and Information Engineering Zhejiang Gongshang UniversityHangzhou310018China Information Security Center State key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing100876China Department of Computer Science National Textile UniversityFaisalabad37610Pakistan School of Information Science and Technology North China University of TechnologyBeijing100144China Advanced Cryptography and System Security Key Laboratory of Sichuan Province China

As an innovative theory and technology,quantum network coding has become the research hotspot in quantum network *** this paper,a quantum remote state preparation scheme based on quantum network coding is *** with the general quantum remote state preparation schemes,our proposed scheme brings an arbitrary unknown quantum state finally prepared remotely through the quantum network,by designing the appropriate encoding and decoding steps for quantum network *** is worth mentioning,from the network model,this scheme is built on the quantum k-pair network which is the expansion of the typical bottleneck network—butterfly ***,it can be treated as an efficient quantum network preparation scheme due to the characteristics of network coding,and it also makes the proposed scheme more applicable to the large-scale quantum *** addition,the fact of an arbitrary unknown quantum state remotely prepared means that the senders do not need to know the desired quantum ***,the security of the proposed scheme is ***,this scheme can always achieve the success probability of 1 and 1-max flow of value ***,the communication efficiency of the proposed scheme is ***,the proposed scheme turns out to be practicable,secure and efficient,which helps to effectively enrich the theory of quantum remote state preparation.

关键词： Quantum remote state preparation quantum network coding quantum k-pair network

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Compression Meets security: Low-Complexity Linear Collaborative Federated Learning with Enhanced Accuracy

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IEEE Transactions on Mobile Computing 2025年

作者： Wang, Tianshun Li, Peichun Feng, Panpan Wei, Xin Qian, Liping Wu, Yuan Nanjing University of Posts and Telecommunications School of Communication and Information Engineering Nanjing China University of Macau State Key Laboratory of Internet of Things for Smart City Macao University of Macau Department of Computer and Information Science Macao Zhejiang University of Technology Institute of Cyberspace Security Hangzhou 310023 China

Federated learning (FL) has been regarded as a promising paradigm for enabling distributed model training over resource-limited edge devices. Although FL maintains data locality and enhances model generalization, it faces challenges such as model leakage and pressure from frequent model updates. Some existing schemes, such as differential privacy and model encryption, can partially alleviate these issues while sacrificing the accuracy of the modeling training or increasing the computational overheads in training. To address this issue, we design a low-complexity linear collaborative FL (LCFL) framework to enhance the privacy and accuracy of FL. Specifically, we propose the collaborative secrecy transmission (CST) algorithm by integrating a variant of Shamir's secret-sharing with the model segmentation, which can compresses and encrypts the local models for FL. The decoding complexity of the CST algorithm is only O(N³) under the compression ratio of N, which reduces the communication overhead and computational complexity. We conduct a quantitative analysis of the model error induced by the CST algorithm and derive its closed-form upper bound. Within LCFL, we formulate an optimization problem to maximize the global model accuracy in wireless FL by optimizing compression ratios, bandwidth allocation, and transmit-powers. Subsequently, we propose a low-complexity algorithm to solve this problem effectively. Numerical simulations demonstrate the efficacy of LCFL in improving FL's accuracy and security, and the results validate the efficiency of the proposed optimization scheme for wireless FL. © 2002-2012 IEEE.

关键词： Federated learning model compression model encryption model privacy secret sharing

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Scale Normalization and Lightweight FPN for Small Object Detection in Aerial Images 3

Scale Normalization and Lightweight FPN for Small Object Det...

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3rd International Conference on Computer Graphics, Image, and Virtualization, ICCGIV 2023

作者： Wei, Haokun Liu, Jingyi Chen, Jinyong Sun, Yuxin Chu, Boce Zhu, Jin Key Laboratory of Aerospace Information Applications of CETC Shijiazhaung China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin China

ISBN: (纸本)9781510671720

The detection of small objects by oriented bounding box in aerial images is a recent hot topic. However, since the aerial images are not collected at the same height, the Ground Sample Distance (GSD) is different for each image, so that small objects are easily overlooked. Existing algorithms are designed for multi-scale object detection, and feature fusion is time-consuming, resulting in a large amount of model parameters that is not easy to deploy on embedded devices. We propose three methods to address the above problems. First, we scale the collected aerial images to the same scale according to the GSD value. Second, we change the structure of Feature Pyramid Network (FPN) and only keep the necessary low-level feature maps. Finally, we rescale the anchor for the specific scene. We validate our proposed method on the DOTA dataset. The results show that the modified model using our method can identify more small-scale objects, and the maximum number of model parameters can be reduced by 2.7%, the inference speed can be increased by 13.24%, and the model size was reduced by up to 28% when the detection accuracy is the same as the original algorithm. © 2023 SPIE.

关键词： Object detection

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Receiver System Design for Universal Polyphase DFT Digital Channelization Algorithm 5

Receiver System Design for Universal Polyphase DFT Digital C...

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5th IEEE International Conference on Electronics technology, ICET 2022

作者： Lu, Shihang Su, Zhengyu Liao, Kaisheng Li, Chao Xiao, Zhuoling Yan, Bo Lin, Shuisheng Wu, Bo University of Electronic Science and Technology of China Science and Technology on Electronic Information Control Laboratory National Key Laboratory of Science and Technology on Blind Signal Processing School of Information and Communication Engineering China

ISBN: (纸本)9781665485081

Receiver plays a vital role in various electronic countermeasure systems and has always been a hot topic to research. Based on the traditional receiver digital channelization structure, this paper further researches and derives the high-efficiency digital channelization structure based on polyphase discrete Fourier transform corresponding to various application scenarios. Then we design a 256-sub-channel digital channelization system and implement it on a 64-channel parallel digital down converter to verify the structure. The system design relies on system on chip as the platform, and we verify the feasibility of it on field programmable gate array. © 2022 IEEE.

关键词： System-on-chip

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Linearized microwave downconversion link based on fast and intelligent impairment equalization for noncooperative systems

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Chinese Optics Letters 2023年第2期21卷 143-147页

作者：陈智宇钟欣蒋林徐嘉鑫刘静娴盘艳周涛 Key Laboratory of Science and Technology on Electronic Information Control Chengdu 610029China Center for Information Photonics&Communications School of Information Science&TechnologySouthwest Jiaotong UniversityChengdu 610031China Science and Technology on Communication Security Laboratory Institute of Southwestern CommunicationChengdu 610041China

We experimentally demonstrated the use of intelligent impairment equalization(IIE)for microwave downconversion link linearization in noncooperative *** an equalizer is realized based on an artificial neural network(ANN).Once the training process is completed,the inverse link transfer function can be *** the inverse transformation for the detected signal after transmission,the third-order intermodulation distortion components are suppressed significantly without requiring any prior information from an input RF ***,fast training speed is achieved,since the configuration of ANN-based equalizer is *** results show that the spurious-free dynamic range of the proposed link is improved to 106.5 dB·Hz^(2/3),which is 11.3 dB higher than that of a link without ***,the training epochs reduce to only five,which has the potential to meet the practical engineering requirement.

关键词： microwave photonics linearized downconversion link intelligent impairment equalization artificial neural network

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Data link modeling and simulation based on DEVS 2

Data link modeling and simulation based on DEVS

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2nd International Conference on Signal Processing and Machine Learning, SPML 2019

作者： Luo, Zhenxing Zhao, Lulu Tian, Wanyong Yang, Dan Chen, Yiyuan Yu, Jiabin Li, Jianjun Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China CETC Key Laboratory of Data Link Technology Xi'An710071 China Hangzhou Dianzi University Hangzhou310018 China

ISBN: (纸本)9781450372213

The Discrete Event System (DEVS)[1] Specification provides a reference standard for the model design and simulation development of complex discrete event state system. It designs a formal mechanism to describe discrete event state, which is composed of a set of strictly abstract mathematical symbols, and provides a strict description mechanism and execution logic for the modeling and Simulation of discrete event state system, it ensures the normalization, reusability and simulation operation ability of the model. As a special link system, Data Link[2] is different from general communication system. It is mainly used between different military platforms to ensure information sharing. By linking sensors, command and control system and weapon platform according to the specified message format and communication protocol, the information system that can automatically transmit the formatted data of battlefield situation, command and guidance, tactical coordination, weapon control, etc., in real time can form a close and efficient tactical link relationship between different combat platforms. In this paper, DEVS is used to simulate the Reporting Responsibility for Air, Surface, and Land tracks in MILSTD-6016B. © 2019 Association for Computing Machinery.

关键词： Discrete event simulation

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Markov chain-based attack on the CSMA/CA mechanism

Markov chain-based attack on the CSMA/CA mechanism

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International Conference on Multimedia, communication and Computing Application, MCCA 2014

作者： Wang, W. Zhao, W.H. Science and Technology on Communication Information Security Control Laboratory JiaxingZhejiang China Jiangnan Electronic Communication Institute JiaxingZhejiang314001 China Nanhu College Jiaxing University Jiaxing China

ISBN: (纸本)9781138027756

The CSMA/CA (Carrier Sense Multiple Access with Collision Avoidance) mechanism is formally modeled first. Then, based on the Markov Chain theory, the analysis of the attack on CSMA/CA is introduced from two aspects which are the stochastic performance model and bandwidth share model. After discussing the typical attack methods, the performance is analyzed from the aspects of throughput, communication efficiency, and collision numbers, which validates the feasibility and efficiency of attack method based on Markov Chain theory. © 2015 Taylor & Francis Group, London.

关键词： Carrier sense multiple access

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Self-Interference Cancellation Circuit With Improved Transmission Power Efficiency Based On Unequal Power Divider 13

Self-Interference Cancellation Circuit With Improved Transmi...

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13th International Conference on Microwave and Millimeter Wave technology, ICMMT 2021

作者： Li, Huimin Xiang, Qianyin Huang, Xiaoguo Jia, Dinghong Feng, Quanyuan Southwest Jiaotong University School Of Information Science And Technology Chengdu611756 China Science And Technology On Communication Information Security Control Laboratory Jiaxing314033 China 41st Institute Of CETC Qingdao266555 China

ISBN: (纸本)9781665434379

The paper proposes a self-interference cancellation (SIC) architecture based on unequal power divider. The transmission efficiency of SIC is investigated. A power divider with unequal power dividing ratio is used in the SIC for improving transmission efficiency of circulator isolated transceiver. A four-tap SIC circuit was designed and fabricated. Measurement results show that 60dB isolation is achieved in the frequency band of 915-926MHz, which is an increase of 37dB compared to that of the original circulator. The transmission efficiency (TE) increases from 42.5% (power-dividing ratio is 1:1) to 69.1% (power-dividing ratio is 1:4). © 2021 IEEE.

关键词： Timing circuits

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information Freshness-Oriented Trajectory Planning and Resource Allocation for UAV-Assisted Vehicular Networks

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China communications 2023年第5期20卷 244-262页

作者： Hao Gai Haixia Zhang Shuaishuai Guo Dongfeng Yuan School of Control Science and Engineering Shandong UniversityJinan 250061China Shandong Key Laboratory of Wireless Communication Technologies Shandong UniversityJinan 250061China China Academy of Information and Communication Technology(CAICT) Beijing 100191China

In this paper,multi-UAV trajectory planning and resource allocation are jointly investigated to improve the information freshness for vehicular networks,where the vehicles collect time-critical traffic information by on-board sensors and upload to the UAVs through their allocated spectrum *** adopt the expected sum age of information(ESAoI)to measure the network-wide information *** is jointly affected by both the UAVs trajectory and the resource allocation,which are coupled with each other and make the analysis of ESAoI *** tackle this challenge,we introduce a joint trajectory planning and resource allocation procedure,where the UAVs firstly fly to their destinations and then hover to allocate resource blocks(RBs)during a *** on this procedure,we formulate a trajectory planning and resource allocation problem for ESAoI *** solve the mixed integer nonlinear programming(MINLP)problem with hybrid decision variables,we propose a TD3 trajectory planning and Round-robin resource allocation(TTPRRA).Specifically,we exploit the exploration and learning ability of the twin delayed deep deterministic policy gradient algorithm(TD3)for UAVs trajectory planning,and utilize Round Robin rule for the optimal resource *** TTP-RRA,the UAVs obtain their flight velocities by sensing the locations and the age of information(AoI)of the vehicles,then allocate the RBs to the vehicles in a descending order of AoI until the remaining RBs are not sufficient to support another successful *** results demonstrate that TTP-RRA outperforms the baseline approaches in terms of ESAoI and average AoI(AAoI).

关键词： information freshness for vehicular networks multi-UAV trajectory planning resource allocation deep reinforcement learning

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Clutter classification for cognitive radar with a deep convolutional neural network 5

Clutter classification for cognitive radar with a deep convo...

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IET International Radar Conference 2020, IET IRC 2020

作者： Peng, Xiaoyan Tian, Yong Wang, Peng Yu, Junpeng Ren, Weiyi School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Science and Technology on Electronic Information Control Laboratory Chengdu China

ISBN: (纸本)9781839535635

Nowadays, the electromagnetic environment of radar is complex and changeable, and the traditional algorithm is no longer effective to the situation. Hence, it is difficult for radar to have better performance. In this paper, a clutter classification method for cognitive radar with a deep convolution neural network is proposed to solve the problems. Firstly, the dynamic environment information and static environment information are processed. The VGG-16 network and Bi-LSTM are used to realize the feature extraction and fusion of comprehensive environmental information. Finally, the clutter classification is achieved, so that the detection and tracking performance of cognitive radar can be improved with knowledge assistance. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Clutter (information theory)

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