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Opportunistic access control for enhancing security in D2D-enabled cellular networks

Science China(information Sciences) 2018年第4期61卷 187-198页

作者： Yajun CHEN Xinsheng JI Kaizhi HUANG Bin LI Xiaolei KANG National Digital Switching System Engineering & Technological R&D Center National Mobile Communications Research Laboratory Southeast University National Engineering Lab for Mobile Networking Security School of Information and Electronics Beijing Institute of Technology

In this paper, we investigate secure communication over cellular uplinks in device-to-device(D2 D)-enabled cellular networks. We consider a more general scenario, in which multiple D2 D pairs could simultaneously share the same resource block with a specific cellular user. First, an opportunistic access control scheme based on wireless channel gains is proposed, by which the candidate selected set of D2 D pairs sharing the same resource block is determined. The proposed scheme could guarantee reliable communications for both cellular users and D2 D pairs, and further could combat eavesdroppers while keeping the legitimate cellular user as non-intrusive as possible, regarding D2 D pairs as friendly jammers in a non-collaborative way. Then, we derive theoretical results to characterize the security and reliability of the typical cellular and D2 D links, respectively. To further support the performance of this hybrid network, we next present an interference threshold optimization model. Our aim is to minimize the connection outage probability(COP)of D2 D pairs subject to the secrecy requirement of the cellular user. Finally, simulation results are presented to validate the effectiveness of our proposed scheme.

关键词： device-to-device(D2D) communication opportunistic access control physical layer security(PHY-security) secrecy outage probability(SOP) connection outage probability(COP)

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Autonomous optical navigation approach aided by radio beacon for deep space spacecraft 28

Autonomous optical navigation approach aided by radio beacon...

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28th Chinese control and Decision Conference, CCDC 2016

作者： Yan, Jing Shengying, Zhu Lina, Wang School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China Key Laboratory of Autonomous Navigation and Control for Deep Space Exploration Ministry of Industry and Information Technology Beijing100081 China Key Laboratory of Dynamics and Control of Flight Vehicle Ministry of Education Beijing100081 China National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing100854 China

ISBN: (纸本)9781467397148

According to task requests of deep space exploration approach phase such as autonomy, real-time and so on, we did a research into the problem of autonomous navigation at this approach phase and put forward an autonomous navigation project which made use of radio beacon and navigation camera to determine relative position and velocity of the spacecraft. The radio beacon could measure its distance to the spacecraft and the navigation camera could acquire the line-of-sight vector to the target. With Kalman filter we could get the spacecraft's state information. The observability degree of the navigation system was increased by importing a new observation. In order to verify the performance of this autonomous navigation system, Simulink tests based on the practical data of Deep Impact mission were carried on. The results show that the presented method can not only meet navigation requests of approach phase but also gain the navigation system observability degree. © 2016 IEEE.

关键词： deep space explorer Kalman filter optical navigation radio ranging

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Performance Analysis of Velocity Perturbation control in Mixed Platoons with Connected Autonomous and Human-Driven Vehicles

Performance Analysis of Velocity Perturbation Control in Mix...

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2022 IEEE International Conference on Unmanned systems, ICUS 2022

作者： Duan, Xuting Zhao, Yihan Xia, Haiying Zhou, Jianshan Zhang, Long Zhao, Dezong School of Transportation Science and Engineering Beihang University Beijing China Key Laboratory of Operation Safety Technology On Transport Vehicles Ministry of Transport Beijing China Institute of Systems Engineering National Key Laboratory of Science and Technology On Information System Security Beijing China James Watt School of Engineering University of Glasgow Glasgow United Kingdom

ISBN: (数字)9781665484565

ISBN: (纸本)9781665484565

As the Internet of vehicles and autonomous driving are not widely popularized, it is of practical significance to investigate the mixed platoon composed of connected autonomous and human-driven vehicles. This paper focuses on the velocity perturbation control of the mixed platoon. We first use an intelligent driver model (IDM) to build a general scene of an individual connected autonomous vehicle (CAV) guiding multiple human-driven vehicles (HDVs). Using this model, the paper theoretically derives the difficulty calculation of CAV controlling the velocity perturbation at a certain position in the whole platoon. The results show the relationship between the control difficulty and the control time of velocity perturbation occurring at different positions. Finally, the numerical simulation results verify that CAV has the potential to guide the HDVs behind it and eliminate the velocity perturbation. Interestingly, when the velocity perturbation occurs in a HDV far away from the CAV, the velocity perturbation will continue to exist for a long time. © 2022 IEEE.

关键词： Autonomous vehicles

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Direct Wave Interference Suppression Method with Sparse-Sidelobe Constraint in Bistatic Sonar

Direct Wave Interference Suppression Method with Sparse-Side...

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2021 OES China Ocean Acoustics, COA 2021

作者： Nie, Donghu Su, Xin Li, Dongqi Wang, Yongce Zhang, Zenghui Liang, Jia Acoustic Science and Technology Laboratory Harbin Engineering University Harbin150001 China Key Laboratory of Marine Information Acquisition and Security Harbin Engineering University Ministry of Industry and InformationTechnology Harbin150001 China College of Underwater Acoustic Engineering Harbin Engineering University Harbin150001 China Beijing System Design Institute of Electro-Mechanic Engineering Beijing100854 China

ISBN: (纸本)9781728181905

In order to suppress the strong direct wave interference in the bistatic sonar system, this paper proposes a method that combines the weighted sparsity-constrained capon beamformer with the zero constraint. The algorithm uses the sparse distribution of beam response and adds sparse constraints (l1-norm constraints) in the side lobe. By using the orthogonal characteristics of the signal subspace and the noise subspace, a weighted matrix is constructed to weight the sparsity constraint. Subsequently, the optimal weight can be derived by minimizing the output power. In the bistatic sonar system, according to the prior knowledge of the system configuration, the direction of direct wave is often known. Based on the fact, the zero constraint is used to set the beam output response of the array form to be a null in a fixed direction. Under the constraint of null, a least-square method is exploited to approximate a constraint pattern to an ideal pattern in order to solve the optimal weight. Consequently, a deeper and wider null is generated, which improves the anti-steering vector angle mismatch of the array ability. In the case of small deviations in the direction of the interference wave, the receiver can also effectively suppress the interference. © 2021 IEEE.

关键词： Beamforming

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Prediction of exosomal piRNAs based on deep learning for sequence embedding with attention mechanism

Prediction of exosomal piRNAs based on deep learning for seq...

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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Liu, Yajun Ding, Yulian Li, Aimin Fei, Rong Guo, Xie Wu, Fangxiang Xi'an University of Technology Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an China University of Saskatchewan Division of Biomedical Engineering Saskatoon Canada Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an China University of Saskatchewan Division of Biomedical Engineering Department of Computer Science Department of Mechanical Engineering Saskatoon Canada

ISBN: (纸本)9781665468190

PIWI-interacting RNAs (piRNAs) are a type of small non-coding RNAs which bind with the PIWI proteins to exert biological effects in various regulatory mechanisms. A growing amount of evidence reveals that exosomal piRNAs are potential biomarkers for diagnosis and treatment of complex diseases. Effective methods for the prediction of exosomal piRNAs are the foundation of piRNA functional research. In this study, we propose an end-to-end deep network for identifying exosomal piRNAs based on features learned from natural language processing (NLP) models for sequence embedding with attention mechanism. First, a benchmark dataset is constructed by processing piRNA subcellular localization annotated data and sequence data. Moreover, bagging positive unlabeled learning is applied to get the reliable negative set. Finally, we treat a piRNA sequence as a sentence and its k-mer subsequence as a token. Sequence embedding models with self-attention mechanism is designed to extract features from exosome piRNA sequences, which are used for the prediction task. Compared with three competing methods, our model achieves the best performance and reveals the key factors of exosomal piRNA sequences by the attention mechanism. Our model characterizes exosomal piRNAs and could be beneficial for researchers to investigate exosomal piRNAs' functions. © 2022 IEEE.

关键词： Embeddings

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Space-Air-Ground Integrated Network with Native Intelligence(NI-SAGIN):Concept,Architecture,Access and Networking

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China Communications 2022年第1期19卷 I0002-I0007页

作者： Zhenyu Xiao Qihui Wu Jiajia Liu Ning Zhang Tao Sun the School of Electronic and Information Engineering Beihang University IET China Institute of Communications and of Electronics the Nanjing University of Aeronautics and Astronautics(NUAA) key lab of Ministry of Industry and Information Technology of China the School of Cybersecurity Northwestern Polytechnical University Shaanxi Provincial Engineering Laboratory of Cyber Security Xi’an Unmanned System Security and Intelligent Communications ISTC Center IEEE IOT-AHSN TC IEEE Communications Society1 IEEE Vehicular Technology Society1 the Department of Electrical and Computer Engineering at University of Windsor1 China Mobile Research Institute1 GPP SA21 China Mobile’s 3GPP SA and CT groups

Ubiquitous coverage is one of the most important goals for mobile communication *** achieve this,integration of space,air,and ground networks is highly demanded,which expects to become the one of the enabling technolo... 详细信息

关键词： Access networks Networking

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Self-Interference Suppression of Full-Duplex Spread Spectrum Underwater Acoustic Communication Based on CSK Modulation

Self-Interference Suppression of Full-Duplex Spread Spectrum...

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2024 OES China Ocean Acoustics, COA 2024

作者： Wu, Songwen Zhou, Feng Lu, Yinheng Yue, Haoxuan Sanya Nanhai Innovation and Development Base of Harbin Engineering University Sanya572024 China Harbin Engineering University National Key Laboratory of Underwater Acoustic Technology Harbin150001 China Harbin Engineering University Ministry of Industry and Information Technology Key Laboratory of Marine Information Acquisition and Security Harbin150001 China Harbin Engineering University College of Underwater Acoustic Engineering Harbin150001 China Harbin Engineering University Underwater Acoustic Technology Harbin150001 China

ISBN: (纸本)9798350340297

To solve the bandwidth limitation and improve the utilization rate of the frequency band in underwater acoustic communication, this study introduced full-duplex (FD) underwater acoustic communication. Spread spectrum communication is a common communication system in underwater acoustic communication. However, the main problem in FD communication is the influence of self-interference (SI) on the demodulation of the expected signal. The communication rate of direct sequence spread spectrum itself is low, and one of the ways to improve the rate is to use the code shift keying (CSK) modulation. In this paper, a method of suppressing SI in the code domain was introduced for CSK-modulated spread spectrum communication. Through the hyperspace cancellation by coordinate zeroing (HCCO) algorithm, SI was suppressed and the FD communication rate and communication effect were improved. Specifically, for the signals with the same frequency simultaneously and for differential joint CSK-modulated spread spectrum underwater acoustic communication, the HCCO algorithm suppressed the SI, detected the symbol bit information of the signal through differential energy, and demodulated each symbol to obtain the CSK mapping information. In this study, the ability of the algorithm to suppress SI was verified through simulation. When the signal-to-noise ratio is 5 dB and the signal-to-interference ratio is -20dB, the bit error rate is less than 10-3 © 2024 IEEE.

关键词： Bandwidth

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Heuristic Task Allocation Method for Heterogeneous Lunar Robots under Dynamic Resource Cost

Heuristic Task Allocation Method for Heterogeneous Lunar Rob...

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2024 IAF Space Operations Symposium at the 75th International Astronautical Congress, IAC 2024

作者： Xu, Rui Zhou, Junhui Li, Zhaoyu Zhu, Shengying Pan, Bo Zhao, Zhijun Yu, Dengyun School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China Key Laboratory of Autonomous Navigation and Control for Deep Space Exploration Ministry of Industry and Information Technology Beijing100081 China Beijing Institute of Spacecraft System Engineering Beijing100094 China China Aerospace Science and Technology Corporation Beijing100048 China

ISBN: (纸本)9798331312183

China, in collaboration with multiple countries, is preparing to construct a long-term, independently operated international lunar research station on the surface of the moon in the coming years. The construction of an unmanned lunar research station requires the collaboration of diverse and heterogeneous lunar robots to successfully carry out missions. Task allocation for heterogeneous lunar robots is a crucial technical requirement, focusing on constructing evaluation matrix, designing optimization objective functions, and developing algorithms for optimization matching. The state changes during the execution of tasks by robots result in different resource costs for completing other task goals compared to the initial resource costs. Therefore, one of the major challenges in task allocation for multi-robot systems is effectively managing dynamic resource costs during the construction of evaluation matrix (and subsequent optimization based on the matrix). However, the current approach tends to calculate static cost without considering cost changes during task execution, which deviates from standard engineering practices. Instead, the primary contribution of this paper lies in designing a heuristic algorithm capable of optimizing task allocation outcomes while accounting for the dynamic changes in resource costs incurred during goal achievement. In this paper, we propose a heuristic task allocation method for heterogeneous lunar robots under dynamic resource cost. Given a multi-robot cooperative task, our method firstly constructs a task allocation model based on robotic capability and task resource consumption. Next, based on relaxation planning graph, the resource cost for each lunar rover to complete all task goals is calculated, and the cost of transitioning between different goal states is estimated (to efficiently update the resource cost of completing each goal as the lunar rover's state changes). Subsequently, the evaluation matrix is constructed. Then, a heu

关键词： Multipurpose robots

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Att-TCN: An Advertising Attribution Method Based on Temporal Convolutional Network with Attention Mechanism

Att-TCN: An Advertising Attribution Method Based on Temporal...

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International Conference on Computer and Communications (ICCC)

作者： Bowen Xie Yi Sun Zhaowen Lin Baoquan Ma School of Computer Science (National Pilot Software Engineering School) Beijing University of Posts and Telecommunications Beijing China National Engineering Laboratory for Mobile Network Technologies Beijing China National Computer System Engineering Research Institute of China Beijing China National Engineering Laboratory for Industry Control System Information Security Technology Beijing China

Advertising attribution is an effective method to measure the effect of various advertisements in the era of Internet advertising. It enables scientific tracking back and refined operation of advertising by quantitatively evaluating the contribution of different advertising channels to reach the target. It is challenging to predict conversion results based on users' journey data accurately, reflect the impact of ads on user conversions, and appropriately assign attribution values to advertising channels. To achieve the above objectives, we propose an advertising attribution method based on a temporal convolutional network with an attention mechanism (Att-TCN). By mining the hidden information in time and attribution channels using the attention mechanism, our proposed method can improve the accuracy of conversion prediction and thus more rationally assign attribution values across channels. Experimental validation on a real dataset obtained from an operational commercial advertising monitoring company shows that our proposed attribution method has better accuracy than other state-of-the-art attribution methods and gives an open-ended approach to attribution value assignment.

关键词： Target tracking Costs Companies Predictive models Internet Convolutional neural networks Data mining

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A Stackelberg Game for DSTC-Based Cognitive Radio Networks with Multiple Cooperative Relays

A Stackelberg Game for DSTC-Based Cognitive Radio Networks w...

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International Conference on Intelligent Networking and Collaborative systems (INCOS)

作者： Lijie Wang Yi Tang Bo Yuan Dangfeng Zhu Xi'an Satellite Control Center Xi'an China National Key Laboratory of Science and Technology Information System Security Beijing China

The spectrum utility can be improved when cooperative communication technology is incorporated into cognitive radio network, and both the licensed users and secondary users can benefit from cooperating. In this cooperative cognitive radio network, a primary user and multiple secondary users cooperate with each other adopting space-time coding relay scheme to benefit win-win cooperation. Considering the primary user owns the spectrum and both the primary user and secondary users are selfish and reasonable, this cooperative cognitive network is formulated as a Stackelberg game. Based on utility maximizing, this paper studies the spectrum allocation and relay selection problem. A spectrum allocation algorithm is derived under given number of secondary users, and a low complexity relay selection strategy is proposed to maximize the utility of the primary user while guaranteeing the data rate of the primary user and the fairness among the secondary users. Numerical results show the feasibility and validity of the proposed relay selection scheme.

关键词： Relays Transmitters Cognitive radio Encoding Resource management Computational modeling Games

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