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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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Adversarial Examples Detection of Electromagnetic Signal Based on GAN

Adversarial Examples Detection of Electromagnetic Signal Bas...

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International Conference on Big Data Computing and communications (BIGCOM)

作者： Jiawei Zhu Jiangpeng Li Dongwei Xu Chuntao Gu Qi Xuan Shunling Wang Security Control Laboratory Science and Technology on Communication Information Jiaxing China Institute of Cyberspace Security Zhejiang University of Technology College of Information Engineering Zhejiang University of Technology Hangzhou China

In the field of signal modulation classification, deep neural networks (DNNs) perform very well and have good generalization ability. However, the DNN model is extremely vulnerable. The model gives a false output with high confidence from an input example, which formed only by deliberately adding tiny disturbances. Such elaborate examples that make the model misclassify are called adversarial examples. In this paper, for the detection of adversarial examples in electromagnetic signals, we propose a method based on generative adversarial networks (GANs), a novel strategy to defend deep neural networks against such attacks. First of all, by experiment we came to the conclusion that the confidence of the DNN model for normal examples is stable, and the confidence for adversarial examples is unstable. We trained a classifier that performs well in extracting electromagnetic signal features. Then, We feed the normal examples to the generative adversarial network, the generator generates examples with similar data distribution to the clean examples. We send such pairs of examples to the classifier to calculate a threshold T, and the same operations will be performed on the test examples. Finally, the absolute error E of each pair of test examples will be calculated and compared with the threshold T to achieve electromagnetic signal adversarial examples detection. We define the method in the paper as Detect-GAN. The experimental results show that Detect-GAN can effectively defend against common and powerful attack algorithm. Comparing with other detection methods, Detect-GAN achieves more competitive performance.

关键词： Deep learning Neural networks Modulation Big Data Generative adversarial networks Feature extraction Generators

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On the Performance of NOMA Over Coded Caching in Cache-Aided Wireless Network

On the Performance of NOMA Over Coded Caching in Cache-Aided...

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IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)

作者： Yuanyuan Ma Ruxin Zhi Zhan Xu Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing

This paper centers around the examination of a downlink system comprising of a base station (BS) located at the center of a circular cell. Within this cell, we find cache-equipped users uniformly distributed. Our aim is to explore an innovative approach to enhance spectral efficiency by dividing the users into two groups, effectively utilizing the principles of nonorthogonal multiple access (NOMA) and coded caching. Introducing the NOMA over coded caching scheme, we propose a novel method to elevate the service rate. We derive closedform expressions to accurately quantify the performance of NOMA over coded caching in terms of the service rate. Simulation experiments are conducted to validate the superiority of our proposed algorithm. The results demonstrate the remarkable efficacy of the NOMA over coded caching schemes in significantly improving the service rate, surpassing the conventional coded caching and non-encoding caching schemes.

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Geomagnetic Matching Combined Navigation Based on Improving Operation Efficiency of DTW Algorithm 15

Geomagnetic Matching Combined Navigation Based on Improving ...

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15th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2021

作者： Huo, Gang Shang, Junna Zhang, Dongli Wang, Yiteng Institute of China Electronics Technology Group Corporation Hangzhou Dianzi University Science and Technology on Communication Information Security Control Laboratory No.36 Research Zhejiang HangZhou China

ISBN: (纸本)9781665444910

Aiming at the problem of 'singularity' generated by the traditional DTW matching algorithm, the DDTW matching algorithm is used to match the geomagnetic sequence, and the first derivative of the sequence is compared for matching, and the Itakura window is used as a constraint to restrict the search range. In order to improve the overall positioning effect, a combination of inertial navigation and geomagnetism is used for navigation, and Kalman filtering is used to fuse the positioning results. Experimental results show that when the matching window is 60, the average positioning error of the system using the improved DDTW matching algorithm is within 1.37m. Compared with the system using the DTW matching algorithm, the average positioning error is reduced by 0.59m and effectively improved Computing efficiency. © 2021 IEEE.

关键词： Navigation

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Research on GPU Parallel Acceleration of Efficient Coherent Integration Processor for Passive Radar 3rd

Research on GPU Parallel Acceleration of Efficient Coherent ...

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3rd EAI International Conference on Artificial Intelligence for communications and Networks, AICON 2021

作者： Bu, Zirong Wang, Lijun Zhu, Huijie 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)9783030901950

The traditional algorithm of cross-ambiguity function requires a large amount of computation and storage capacity, which brings difficulties to real-time processing. In addition, the long-integration time will cause range migration problems, resulting in a decrease in the SNR, and reducing the weak target detection ability of the system. Based on the characteristics of the passive radar, this paper adopts the method of combining segmental frequency domain pulse compression and Keystone transform to correct the range migration in the target detection, which improves the detection ability of weak targets. However, due to the relatively large amount of data and computation of the algorithm, this paper takes the advantages of graphics processing unit (GPU) with large data throughput and strong floating-point computing capabilities to propose an efficient coherent integration method which is suitable for GPU parallel processing. © 2021, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Graphics processing unit

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