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10th International Symposium on Test Automation & Instrumentation (ISTAI 2024)

作者： Junzhe Fang Liyong Wang Haojie Ji Teng Guo Te Hu Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing People's Republic of China Zaozhuang Network Security Guarantee Center Zaozhuang People's Republic of China

ISBN: (数字)9781837241910

As a major software testing method, fuzzing has the potential to enhance testing coverage and detect a great number of software vulnerabilities in complex code programs. The current fuzzy testing for multiple input parameters lacks an effective calling mechanism and treats all variant parameter equally, resulting in low efficiency. This paper presents a fuzzy testing method based on Bayesian algorithm for scheduling parameters. Firstly, it combines the characteristics of input parameters to match the appropriate variation strategy. Secondly, it utlizes the Bayesian algorithm to automatically generate weight values for the objective function index during sufficient testing. It evaluates test cases with multi-parameter inputs according to these weights and selects parameters with high utilization value for multiple tests. Finally, in order to evaluate the effectiveness of the method of this paper, an application programming interface of Amercian fuzzy lop (AFL-API) is developed based on the typical fuzzy testing tool AFL++, and compared with AFL++ as a fuzzy testing tool. The experimental results demonstate that when using the AFL-API for program testing, there was 47% increase in coverage rate, 52% increase in the number of discovered crashes, and more program vulnerabilities were identified during actual testing.

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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

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 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 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

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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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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Bayesian Framework for Multi-User Cooperative Radio SLAM 35

Bayesian Framework for Multi-User Cooperative Radio SLAM

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35th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2024

作者： Que, Hang Yang, Jie Du, Tao Xia, Shuqiang Wen, Chao-Kai Jin, Shi Southeast University National Mobile Communications Research Laboratory Nanjing211189 China Southeast University Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Zte Corporation Shenzhen518001 China State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen518001 China Institute of Communications Engineering National Sun Yat-sen University Kaohsiung804 Taiwan

ISBN: (纸本)9798350362244

The advancement of millimeter-wave communication technology heralds new sensing capabilities. By leveraging channel multipath parameter estimates, we can harness simultaneous localization and mapping (SLAM) for precise user equipment (UE) localization and radio map construction in 6 G communication systems. Particularly in multi-UE scenarios, SLAM empowers base stations to amalgamate the local radio maps of various UEs efficiently. This study introduces a novel Bayesian framework specifically designed for multi-UE SLAM, complemented by a tailored factor graph. We also unveil a two-stage multi-UE SLAM algorithm. Our simulation results reveal that this algorithm substantially enhances radio map construction accuracy by 4 8. 5 % and UE localization accuracy by 13.5 %, outperforming single-UE cases. Moreover, the algorithm demonstrates remarkable adaptability to environmental changes, showcasing its potential for long-term evolution in dynamic settings. © 2024 IEEE.

关键词： Long Term Evolution (LTE)

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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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PathMLP: Smooth Path Towards High-order Homophily

arXiv

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arXiv 2023年

作者： Zhou, Jiajun Xie, Chenxuan Gong, Shengbo Qian, Jiaxu Yu, Shanqing Xuan, Qi Yang, Xiaoniu Institute of Cyberspace Security Zhejiang University of Technology Hangzhou310023 China Binjiang Institute of Artificial Intelligence Hangzhou310056 China College of Computer Science and Technology Zhejiang University of Technology Hangzhou310023 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China

Real-world graphs exhibit increasing heterophily, where nodes no longer tend to be connected to nodes with the same label, challenging the homophily assumption of classical graph neural networks (GNNs) and impeding their performance. Intriguingly, from the observation of heterophilous data, we notice that certain high-order information exhibits higher homophily, which motivates us to involve high-order information in node representation learning. However, common practices in GNNs to acquire high-order information mainly through increasing model depth and altering message-passing mechanisms, which, albeit effective to a certain extent, suffer from three shortcomings: 1) oversmoothing due to excessive model depth and propagation times;2) high-order information is not fully utilized;3) low computational efficiency. In this regard, we design a similarity-based path sampling strategy to capture smooth paths containing high-order homophily. Then we propose a lightweight model based on multi-layer perceptrons (MLP), named PathMLP, which can encode messages carried by paths via simple transformation and concatenation operations, and effectively learn node representations in heterophilous graphs through adaptive path aggregation. Extensive experiments demonstrate that our method outperforms baselines on 16 out of 20 datasets, underlining its effectiveness and superiority in alleviating the heterophily problem. In addition, our method is immune to over-smoothing and has high computational efficiency. The source code will be available in https://***/Graph4Sec-Team/PathMLP. Copyright © 2023, The Authors. All rights reserved.

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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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