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2022 International Conference on Scientific Computation and Applied Statistics, ICSCAS 2022

作者： Tao, Xueying Shao, Huaizong Li, Qiang Pan, Ye Fu, Zhongqi School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing China Peng Cheng Laboratory Shenzhen China

This paper considers the modulation classification of radio frequency (RF) signals. An external attention mechanism-based convolution neural network (EACNN) is proposed. Thanks to the external attention layers, the EACNN network can capture the potential correlations of different modulation data, which helps reduce computational consumption and memory costs efficiently during training. Moreover, to account for the variation of the signals induced by channel fading, we further propose a customized batch normalization (BN) layer in EACNN to improve the classification accuracy with less training time. Numerical experiments on RML2016.a dataset shows that the proposed method outperforms the baseline method CNN2 by 7% in terms of classification accuracy. © Published under licence by IOP Publishing Ltd.

关键词： Fading channels

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An Asymmetric Channel Attack Monitoring Method for Round-Trip Fiber Time Synchronization System

An Asymmetric Channel Attack Monitoring Method for Round-Tri...

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European Frequency and Time Forum (EFTF)

作者： Xuesong Xu Yichen Zhang Hailong Xu Yiming Bian Yang Li Bingjie Xu Song Yu State Key Laboratory of Information Photonics and Optical Communications School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing China Science and Technology on Communication Security Laboratory Institute of Southwestern Communication Chengdu China

ISBN: (数字)9798350354270

ISBN: (纸本)9798350354287

We present a method for monitoring potential asymmetric channel attacks within a round-trip fiber time synchronization system. This is achieved by observing and tracking the time difference at the remote end. Experimental results show that the attacking operation causes unavoidably obvious fluctuations in time difference, with the time difference measured by our monitoring module changing by nanoseconds when an attack occurs, which can be used for attack recognition. Our work provides a reference for further improving the security of fiber time synchronization systems and lays the foundation for the development of more advanced time synchronization attack identification techniques.

关键词： Time-frequency analysis Fluctuations Europe Time measurement Synchronization security Frequency synchronization Monitoring

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Angle-Based SLAM on 5G mmWave Systems: Design, Implementation, and Measurement

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IEEE Internet of Things Journal 2023年第20期10卷 17755-17771页

作者： Yang, Jie Wen, Chao-Kai Xu, Jing Que, Hang Wei, Haikun Jin, Shi Southeast University Sch. of Automat. and the Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China National Sun Yat-sen University Institute of Communications Engineering Kaohsiung804 Taiwan Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Southeast University Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Nanjing210096 China

Simultaneous localization and mapping (SLAM) is a key technology that provides user equipment (UE) tracking and environment mapping services, enabling the deep integration of sensing and communication. The millimeter-wave (mmWave) communication, with its larger bandwidths and antenna arrays, inherently facilitates more accurate delay and angle measurements than sub-6 GHz communication, thereby providing opportunities for SLAM. However, none of the existing works have realized the SLAM function under the 5G new radio (NR) standard due to specification and hardware constraints. In this study, we investigate how 5G mmWave communication systems can achieve situational awareness without changing the transceiver architecture and 5G NR standard. We implement 28-GHz mmWave transceivers that deploy OFDM-based 5G NR waveform with 160-MHz channel bandwidth, and we realize beam management following the 5G NR. Furthermore, we develop an efficient successive cancellation-based angle extraction approach to obtain angles of arrival and departure from the reference signal received power measurements. On the basis of angle measurements, we propose an angle-only SLAM algorithm to track UE and map features in the radio environment. Thorough experiments and ray tracing-based computer simulations verify that the proposed angle-based SLAM can achieve submeter-level localization and mapping accuracy with a single base station and without the requirement of strict time synchronization. Our experiments also reveal many propagation properties critical to the success of SLAM in 5G mmWave communication systems. © 2014 IEEE.

关键词： 5G mobile communication systems

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PB-UAP: Hybride Universal Adversarial Attack for Image Segmentation

PB-UAP: Hybride Universal Adversarial Attack for Image Segme...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yufei Song Ziqi Zhou Minghui Li Xianlong Wang Hangtao Zhang Menghao Deng Wei Wan Shengshan Hu Leo Yu Zhang Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology School of Computer Science and Technology Huazhong University of Science and Technology School of Software Engineering Huazhong University of Science and Technology School of Information and Communication Technology Griffith University

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

With the rapid advancement of deep learning, the model robustness has become a significant research hotspot, i.e., adversarial attacks on deep neural networks. Existing works primarily focus on image classification tasks, aiming to alter the model’s predicted labels. Due to the output complexity and deeper network architectures, research on adversarial examples for segmentation models is still limited, particularly for universal adversarial perturbations. In this paper, we propose a novel universal adversarial attack method designed for segmentation models, which includes dual feature separation and low-frequency scattering modules. The two modules guide the training of adversarial examples in the pixel and frequency space, respectively. Experiments demonstrate that our method achieves high attack success rates surpassing the state-of-the-art methods, and exhibits strong transferability across different models.

关键词： Training Image segmentation Perturbation methods Semantics Scattering Signal processing Predictive models Network architecture Robustness Speech processing

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Improving key rates by tighter information reconciliation leakage estimation for quantum key distribution

arXiv

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arXiv 2025年

作者： Mao, Hao-Kun Yang, Bo Qiao, Yu-Cheng Yan, Bing-Ze Zhao, Qiang Xu, Bing-Jie Li, Qiong School of Cyberspace Science Faculty of Computing Harbin Institute of Technology Harbin150080 China Guangxi Key Lab Cryptography and Information Security Guilin University of Electronic Technology Guangxi Guilin541004 China School of Information Engineering Zhejiang Ocean University Zhoushan316022 China Science and Technology on Security Communication Laboratory Institute of Southwestern Communication Chengdu610041 China

Previous research has aimed to precisely estimate information leakage to improve the secure key rate (SKR) and maximum transmission distance in quantum key distribution (QKD). However, existing methods repeatedly considerd the information of the multi-photon pulses known to Eve before and after information reconciliation, resulting in an overestimation of the leakage amount. We propose a novel approach that considers the quantum part’s effect on post-processing, providing a more accurate estimation of information reconciliation leakage to improve the SKR. Theoretical analysis shows that our method more accurately estimates the information reconciliation leakage, significantly improving the SKR at any distance as well as the maximum transmission distance. It is worth mentioning that previous studies treat information leakage of the error correction as Shannon bound Nh(e), and our method can estimate it more tightly. Simulation results for decoy-BB84 and measurement-device-independent (MDI) protocols using Cascade are consistent with the theoretical analysis. The farther the transmission distance, the greater the growth rate of SKR. When the error rate is 33%, compared with the original method, the SKR growth rate of decoy-BB84 at 100KM is 100.4%, and the transmission distance of MDI increases by 22KM. Copyright © 2025, The Authors. All rights reserved.

关键词： information leakage

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A 3-D Printed Ka-Band Waveguide Bandpass Filter With Quasi-Elliptic Response 13

A 3-D Printed Ka-Band Waveguide Bandpass Filter With Quasi-E...

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13th International Symposium on Antennas, Propagation and EM Theory, ISAPE 2021

作者： Zhang, Fan Xu, Lili Zhang, Jianqiang Nan, Pulong Jin, Xiaofan Pan, Gaofeng Science and Technology on Communication Information Security Control Laboratory Zhejiang Jiaxing314033 China Huawei Technologies Co. Ltd Guangdong Shenzhen518063 China

ISBN: (纸本)9781665418126

A Ka-band quasi-elliptic bandpass filter (BPF) based on stereolithography apparatus (SLA) 3-D printing technique is proposed. The filter consists of four coupled resonators with three direct couplings between adjacent resonators and a cross coupling between the first and fourth resonators. Benefited from this feature, a pair of transmission zeros (TZs) can be produced in the stopband to enhance the passband selectivity significantly. Additionally, two waveguide bends are incorporated with the input and output waveguides to facilitate experimental test. For demonstration, a 3-D printed BPF prototype with center frequency of 30 GHz, bandwidth of 1.4 GHz, and return loss better than 20 dB is implemented and tested. The weight of the filter is 9.8 g only. The measured results demonstrate that the passband return loss is better than 10 dB, and the average in-band insertion loss is less than 2 dB. © 2021 IEEE.

关键词： Bandpass filters

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Research on Space-Time Block Code technology in MIMO System 7

Research on Space-Time Block Code Technology in MIMO System

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7th International Conference on Computer and communications, ICCC 2021

作者： Pan, Conglin Chen, Si Wu, Wei Qian, Jiachuan Wang, Lijun No.36 Research Institute of CETC Science and Technology On Communication Information Security Control Laboratory Jiaxing China School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing China

ISBN: (纸本)9781665409506

MIMO technology has been widely used in the telecommunication systems nowadays, and the space-time coding is a key part of MIMO technology. A good coding scheme can exploit the spatial diversity to correct the error which is generated in transmission, and increase the normalized transfer rate with low decoding complexity. On the Basis of the research on different Space-Time Block Codes, this essay proposes a new STBC, Diagonal Block Orthogonal Space-Time Block Code. Then we will compare it with other STBCs in the performance of bit error rate, transfer rate, decoding complexity and peek-to-average power ratio, the final result will prove the superiority of DBOAST. © 2021 IEEE.

关键词： MIMO systems

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Modulation Recognition Based on Lightweight Residual Network via Binary Quantization 7

Modulation Recognition Based on Lightweight Residual Network...

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7th International Conference on Computer and communications, ICCC 2021

作者： Ji, Heng Xu, Wangyang Gan, Lu Xu, Zhengwu Science and Technology On Communication Information Security Control Laboratory Jiaxing314000 China University of Electronic Science and Technology of China Chengdu611731 China Yibin Institute of UESTC Yibin643000 China

ISBN: (纸本)9781665409506

Signal modulation recognition is an important and complicated problem in spectrum monitoring. In recent years, many advanced deep learning methods have been proposed for this problem. However, the high computational cost of deep neural networks largely hinders practical deployment. In this paper, we consider the signal modulation recognition problem via the deep residual network and propose a binary quantization scheme to reduce the model size and memory cost. This is achieved by simultaneously increasing shortcuts and maintaining full-precision weights and outputs of key layers in binary residual network in a simple way. The results show that with competitive accuracy, 95% of multiply-accumulate operations of model are converted into binary operations under 0 dB snr. In summary, the proposed method can effectively reduce the parameters and complexity of recognition model. © 2021 IEEE.

关键词： Deep neural networks

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Modulation Recognition Based on Lightweight Residual Network via Hybrid Pruning 7

Modulation Recognition Based on Lightweight Residual Network...

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7th International Conference on Computer and communications, ICCC 2021

ISBN: (纸本)9781665409506

Signal modulation recognition is an important and complicated problem in spectrum monitoring. In recent years, many advanced deep learning methods have been proposed for this problem. However, the high computational cost of deep neural networks largely hinders practical deployment. In this paper, we consider the signal modulation recognition problem via the deep residual network and propose a hybrid Pruning scheme to reduce the model size and memory cost. This is achieved by simultaneously enforcing channel-level and layer-level sparsity in residual network in a simple way. We take wide and large networks as input models, but during training, insignificant channels and layers are automatically identified and pruned afterwards, yielding compact and shallower networks with comparable accuracy. The results show that with 0 dB snr, the trainable parameters and multiply-accumulate operations are both reduced by 2/3. In summary, the proposed method can effectively reduce the parameters and complexity of recognition model. © 2021 IEEE.

关键词： Deep neural networks

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Research on PDCCH Channel in 5G NR System

Research on PDCCH Channel in 5G NR System

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2021 International Conference on Networking and Network Applications, NaNA 2021

作者： Tianyi, Liang Huijie, Zhu Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China No.36 Research Institute of China Electronics Technology Group Corporation Jiaxing314033 China

ISBN: (纸本)9781665441582

In the 5th Generation Mobile communication technology (5G) system, physical downlink control channel (PDCCH) controls the transmission and reception of uplink and downlink data by transmitting Downlink control information (DCI), which is the core of the physical channel control of the 5G system. Obtain the DCI information to obtain the uplink and downlink scheduling information of the signal, thereby providing more possibilites for effectively interfering with the mobile signal. In this paper, by studying the signal transmitting end, the corresponding resource demapping, deinterleaving, decoding and other algorithms are used to realize the full link processing of the receiving end and obtain DCI information. The actual 5G signal collected is processed, which verifies the reliability and accuracy of the algorithm. © 2021 IEEE.

关键词： 5G mobile communication systems

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