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2nd IEEE Advanced information Management, Communicates, Electronic and Automation control Conference, IMCEC 2018

作者： Ma, Lu Fan, Cheng Sun, Wei Qiao, Gang Science and Technology on Communication Information Security Control Laboratory Jiaxing Zhejiang China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

ISBN: (纸本)9781538618035

W399 the development of underwater acoustic communications (UWAC), jamming methods for UWAC becomes much more attentive in communication countermeasure system. Direct sequence spread spectrum (DSSS) signal as a way of reliable covert communications is widely used for UWA channels. In this paper, single-tone jamming, narrowband jamming and correlated jamming based on PN code PSK modulation for UWA DSSS communication system are compared under different signal-to-noise ratio first, which assumes that the jammer knows perfect parameters in DSSS signal. Besides, performance of the above three jamming methods are compared by simulations under the blind estimates of carrier frequency, chip length, period of PN code and PN code itself, which demonstrates the influence of the estimation error on these jamming methods. © 2018 IEEE.

关键词： Underwater acoustic communication

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Hybrid Optimization of Target Detection on Embedded Platforms for Real Time Applications 5

Hybrid Optimization of Target Detection on Embedded Platform...

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5th IEEE International Conference on Electronics technology, ICET 2022

作者： Zhang, Xinchen Sun, Wangchao Zhao, Yaodong Liao, Kaisheng Liu, Yilin Xu, Hongda Xiao, Zhuoling Yan, Bo University of Electronic Science and Technology of China Science and Technology on Electronic Information Control Laboratory School of Information and Communication Engineering Chengdu China

ISBN: (纸本)9781665485081

Target detection has been widely used in fields such as intelligent security and autonomous driving. However, existing computationally heavy target detection algorithms based on deep learning can only work on GPU and CPU platforms, restricting the applications on edge devices with limited computational power. To address this issue, this paper proposes layer fusion and 16-bit fixed-point quantization on the YOLOv2-Tiny algorithm to reduce the computational complexity of target detection algorithms. Furthermore, the data transmission efficiency is optimized by using ping-pong butter and multi-channel methods. To reduce FPGA resource consumption, the neural network is split into convolution, accumulation, pooling, and address mapping modules. The proposed system has been successfully implemented on the Xilinx Zynq-XC7Z035 platform, using only 47% of BRAM resources and 18% of DSP resources. © 2022 IEEE.

关键词： Deep learning

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A Tutorial on Movable Antennas for Wireless Networks

arXiv

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arXiv 2025年

作者： Zhu, Lipeng Ma, Wenyan Mei, Weidong Zeng, Yong Wu, Qingqing Ning, Boyu Xiao, Zhenyu Shao, Xiaodan Zhang, Jun Zhang, Rui Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore Chengdu611731 China National Mobile Communications Research Laboratory Frontiers Science Center for Mobile Information Communication and Security Southeast University Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China School of Electronic and Information Engineering Beihang University Beijing100191 China Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada State Key Laboratory of CNS/ATM MIIT Key Laboratory of Complex-field Intelligent Sensing Beijing Institute of Technology Beijing100081 China School of Science and Engineering Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Guangdong Shenzhen518172 China

Movable antenna (MA) has been recognized as a promising technology to enhance the performance of wireless communication and sensing by enabling antenna movement. Such a significant paradigm shift from conventional fixed antennas (FAs) to MAs offers tremendous new opportunities towards realizing more versatile, adaptive and efficient next-generation wireless networks such as 6G. In this paper, we provide a comprehensive tutorial on the fundamentals and advancements in the area of MA-empowered wireless networks. First, we overview the historical development and contemporary applications of MA technologies. Next, to characterize the continuous variation in wireless channels with respect to antenna position and/or orientation, we present new field-response channel models tailored for MAs, which are applicable to narrowband and wideband systems as well as far-field and near-field propagation conditions. Subsequently, we review the state-of-the-art architectures for implementing MAs and discuss their practical constraints. A general optimization framework is then formulated to fully exploit the spatial degrees of freedom (DoFs) in antenna movement for performance enhancement in wireless systems. In particular, we delve into two major design issues for MA systems. First, we address the intricate antenna movement optimization problem for various communication and/or sensing systems to maximize the performance gains achievable by MAs. Second, we deal with the challenging channel acquisition issue in MA systems for reconstructing the channel mapping between arbitrary antenna positions inside the transmitter and receiver regions. Moreover, we show existing prototypes developed for MA-aided communication/sensing and the experimental results based on them. Finally, the extension of MA design to other wireless systems and its synergy with other emerging wireless technologies are discussed. We also highlight promising research directions in this area to inspire future investigatio

关键词： Antenna arrays

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Artificial Intelligence-Aid OTFS Receiver: Design and Performance Evaluation

Artificial Intelligence-Aid OTFS Receiver: Design and Perfor...

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2023 International Conference on Ubiquitous communication, Ucom 2023

作者： Wang, Chenxi Qian, Li Ping Zhu, Huijie College of Information Engineering Zhejiang University of Technology Hangzhou China The 36th Research Institute of China Electronics Technology Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9798350340433

OTFS technology is attracting much attention due to its strong adaptability to high-speed mobility and high spectrum efficiency. Studies show that applying deep learning (DL) to traditional communication systems significantly improves their performance. To this end, this paper proposes an AI-Aid OTFS receiver to enhance the performance of OTFS systems in high-speed mobile communication scenarios. The proposed receiver employs two networks-a channel estimation network called TFNet and a decoding network called RecovNet. In the channel estimation module, TFNet performs more accurate channel estimation based on the results of traditional channel estimation methods. In the decoding module, RecovNet decodes the signal based on the equalized signals. To validate the superiority of our proposed receiver, we conduct comparative testing with a traditional receiver under the integer Doppler channel. The experimental results demonstrate that integrating DL technology in OTFS systems effectively enhances their performance. © 2023 IEEE.

关键词： Decoding

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Towards green for relay in InterPlaNetary Internet based on differential game model

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science China(information sciences) 2014年第4期57卷 65-73页

作者： LIN FuHong LIU Qian ZHOU XianWei XIONG Ke School of Computer and Communication Engineering University of Science and Technology Beijing School of Computer and Information Technology Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University

InterPlaNetary Internet(IPN)plays a very important role in the exploitation of ***,the relays in IPN are suffered from high symbol error,limited storage space,and limited available *** analyze the performance of the relay in IPN,in this article,we build a differential game model,where the controller is transmitting rate,and the goal is to maximize the payoff according to the symbol error rate,the storage space and the available energy in the *** such a design,the green relays can be achieved for IPNs,which could prolong the live of the *** the model is not easy to discuss,we analyze it using the Bellman theorem and then get some formulas on the trace of the optimal transmitting ***,extensive simulation results are presented to demonstrate the performance of our proposed model,which shows that by using our derived optimal transmitting rate trace,the relay’s payoff can be maximized.

关键词： IPN differential game symbol error limited storage space energy efficiency

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Cross-receiver specific emitter identification based on deep adversarial neural network with separated batch normalization 3

Cross-receiver specific emitter identification based on deep...

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3rd International Conference on Computer science and communication technology, ICCSCT 2022

作者： Huang, Keju Jiang, Bin Yang, Junan Wang, Jian Hu, Pengjiang Li, Yiming Shao, Kun Zhao, Dongxing College of Electronic Engineering National University of Defense Technology Hunan Changsha China Science and Technology on Communication Information Security Control Laboratory Zhejiang Jiaxing314000 China

ISBN: (纸本)9781510661240

Specific emitter identification (SEI) is the approach to identify emitter individuals using received wireless signals. Despite the fact that deep learning has been successfully applied in SEI, the performance is still unsatisfying when the receiver changes. In this paper, we introduce a domain adaptation method, namely deep adversarial neural network (DANN), for cross-receiver SEI. Furthermore, separated batch normalization (SepBN) is proposed to improve the performance. Results of experiments using real data show that the proposed SepBN-DANN method performs desirably for cross-receiver SEI. © 2022 SPIE.

关键词： Seebeck effect

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Cross-border Magnetic Induction Relay Cooperative communication Scheme Based on Distributed Space-time Coding

Cross-border Magnetic Induction Relay Cooperative Communicat...

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2022 IEEE International Conference on Signal Processing, communications and Computing, ICSPCC 2022

作者： Song, Weixin Zhang, Xin Ge, Yizhou Northwestern Polytechnical University School of Marine Science and Technology Xi'an China NO.36 Research Institute of Cetc Science and Technology On Communication Information Security Control Laboratory Jiaxing China

ISBN: (数字)9781665469722

ISBN: (纸本)9781665469722

The application prospect of air-sea cross-border communication is broad. Magnetic induction (MI) communication can realize two-way cross-border transmission, adapt to complex marine environment and be easy to carry. Therefore, it has unique advantages in cross-border transmission. However, due to the characteristics of near field propagation in magnetic induction communication, the range × data rate performance of magnetic induction communication is severely limited, which is a difficult bottleneck problem to break through. Aiming at this problem, this paper proposes a cross-border magnetic induction relay cooperative communication scheme based on distributed space-time coding. In this scheme, relay nodes are introduced between the transmission and reception of cross-border transmission, and distributed space-time coding (DSTBC) is used on the relay nodes to coordinate the forwarding of each relay node so as to obtain the spatial diversity gain. Using the diversity gain, the underwater communication range of cross-border communication can be extended. Simulation results show that the DSTBC coding scheme can significantly improve the transmission performance of wireless channels. When the system bit error rate is 10-4, compared with the simple forwarding relay system, the code-forwarding system using 2, 3, and 4 relay nodes can obtain about 3 to 6dB of diversity gain. © 2022 IEEE.

关键词： Cooperative communication

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Research on privacy information retrieval model based on hybrid homomorphic encryption

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Cybersecurity 2024年第4期7卷 52-61页

作者： Wei-tao Song Guang Zeng Wen-zheng Zhang Dian-hua Tang Science and Technology on Communication Security Laboratory.Chengdu 610041 China Zhejiang University Hangzhou 311200China PLA SSF Information Engineering University Zhengzhou 450000China College of Computer Science and Technology National University of Defense TechnologyChangsha 410073China

The computational complexity of privacy information retrieval protocols is often linearly related to database *** the database size is large,the efficiency of privacy information retrieval protocols is relatively *** paper designs an effective privacy information retrieval model based on hybrid fully homomorphic *** assignment method is cleverly used to replace a large number of homomorphic encryption *** the same time,the multiplicative homomorphic encryption scheme is first used to deal with the large-scale serialization in the search,and then the fully homomorphic encryption scheme is used to deal with the remaining simple *** depth of operations supported by the fully homomorphic scheme no longer depends on the size of the database,but only needs to support the single homomorphic encryption scheme to decrypt the circuit *** on this hybrid homomorphic encryption retrieval model,the efficiency of homomorphic privacy information retrieval model can be greatly improved.

关键词： Cryptography Hybrid homomorphic encryption Privacy protection Private information retrieval

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Phishing detection on Ethereum via transaction subgraphs embedding

IET Blockchain

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IET Blockchain 2023年第4期3卷 194-203页

作者： Lv, Haifeng Ding, Yong Guangxi Key Laboratory of Machine Vision and Intelligent Control WuZhou University Wuzhou China Guangxi Key Laboratory of Cryptography and Information Security School of Computer Science and Information Security Guilin University of Electronic Technology Guilin China Guangxi Colleges and Universities Key Laboratory of Industry Software Technology WuZhou University Wuzhou China

With the rapid development of blockchain technology in the financial sector, the security of blockchain is being put to the test due to an increase in phishing fraud. Therefore, it is essential to study more effective measures and better solutions. Graph models have been proven to provide abundant information for downstream assignments. In this study, a graph-based embedding classification method is proposed for phishing detection on Ethereum by modeling its transaction records using subgraphs. Initially, the transaction data of normal addresses and an equal number of confirmed phishing addresses are collected through web crawling. Multiple subgraphs using the collected transaction records are constructed, with each subgraph containing a target address and its nearby transaction network. To extract features of the addresses, a modified Graph2Vec model called imgraph2vec is designed, which considers block height, timestamp, and amount of transactions. Finally, the Extreme Gradient Boosting (XGBoost) algorithm is employed to detect phishing and normal addresses. The experimental results show that the proposed method achieves good performance in phishing detection, indicating the effectiveness of imgraph2vec in feature acquisition of transaction networks compared to existing models. © 2023 The Authors. IET Blockchain published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and technology.

关键词： Graphic methods

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A virtual machine migration scheme toward green cloud 5

A virtual machine migration scheme toward green cloud

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2013 5th International Conference on Advanced Computer control, ICACC 2013

作者： Zhang, Liu-Mei Ma, Jian-Feng Lu, D. Wang, Yi-Chuan School of Computer Science and Technology Xidian University Xian China School of Computer Science Xian Shiyou University Xian China Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781845649203

As Cloud computing is growing, severe energy consumption of the cloud cluster poses new challenges for environmental protection. In this paper, we present a novel algorithm to support the concept of Green Cloud computing. The algorithm is able to calculate the stability of all virtual machine (VM) instances using statistical data derived from VM instance subscription data of VM Cloud service provider. By referencing the result of calculation, it is feasible to justify VM instances for whether or not to migrate instances onto stable physical machines that always switched on. Accordingly, the rest of the physical machines can be powered off, and then much energy is saved. © 2014 WIT Press

关键词： Virtual machine

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