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13th International Conference on wireless communications and Signal Processing, WCSP 2021

作者： Wei, Cun Zhang, Teng Wang, Jun Wang, Lei Cui, Jingwu Zheng, Baoyu Nanjing University of Posts and Telecommunicationsy Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China

ISBN: (纸本)9781665407854

In this paper, we investigate the issue of resource allocation for secure communications in Divice-to-divice(D2D) network with full-duplex (FD) radio, for maximizing the overall secure energy efficiency(SEE). Under the power constraint and secrecy capacity requirement, the resource allocation problem involves the cluster head selection and subcarrier power allocation. Since the considered optimization problem is non-liner which is difficult to solve, it is decomposed into two subproblems. Firstly, we select the best cluster head with the VIKOR algorithm based on the attributes we propose. Secondly, we transform it into convex optimization by exploiting a series of mathematical tools, such as Parametric programming, Lagrange dual method and Karush-Kuhn-Tucker (KKT) optimal conditions, resulting in an efficient iterative algorithm to achieve the suboptimal allocation of power. Simulation results illustrate the suboptimal SEE can be guaranteed by our proposed algorithm. © 2021 IEEE.

关键词： Energy efficiency

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Knowledge Tracing Based Wheel Spinning Detection Model in Intelligent Tutoring Systems

Knowledge Tracing Based Wheel Spinning Detection Model in In...

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International Conference on Educational and Information technology (ICEIT)

作者： Mingzi Chen Yanan Chen Shouxiang Ni Peilin Li Xuguang Zhang School of Communications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education (NJUPT) Nanjing China

ISBN: (数字)9798350372663

ISBN: (纸本)9798350372670

The recent spread of Intelligent Tutoring Systems (ITS) provides students with access to adaptive learning. However, existing ITS systems face significant challenges in student supervision, primarily in designing robust detection models to characterize the students' learning state and to prevent students from getting stuck in wheel spinning. To this end, this paper proposes a wheel spinning detection model based on Mediating Deep Knowledge Tracing (MDKT). First, the detection model applies “student question mastery” as a mediator variable to improve its interpretability. Specifically, we utilize a Classification and Regression Tree (CART) in the detection model, which enhances the model compatibility with a variety of data by incorporating explicit features (e.g., hint usage). In addition, we employ deep knowledge tracing to merge implicit time-dependent features (e.g., students' knowledge proficiency and forgetting) so as to improve the detection accuracy. Finally, an interpretable neural network based on logistic regression is applied to determine the probability of a student experiencing wheel spinning behavior. Experimental results validate the effectiveness and interpretability of our wheel spinning detection model.

关键词： Adaptation models Logistic regression Neural networks Wheels Feature extraction Data models Spinning

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Measurement-based entanglement purification for entangled coherent states

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Frontiers of physics 2022年第2期17卷 71-81页

作者： Pei-Shun Yan Lan Zhou Wei Zhong Yu-Bo Sheng Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China School of Science Nanjing University of Posts and TelecommunicationsNanjing 210003China Institute of Signal Processing Transmission Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China

The entangled coherent states(ECSs)have been widely used to realize quantum information processing ***,the ECSs may suffer from photon loss and decoherence due to the inherent noise in quantum channel,which may degrade the fidelity of *** overcome these obstacles,we present a measurement-based entanglement purification protocol(MBEPP)for ECSs to distill some highquality ECSs from a large number of low-quality *** first show the principle of this MBEPP without considering the photon *** that,we prove that this MBEPP is feasible to correct the error resulted from the photon ***,this MBEPP only requires to operate the Bell state measurement without performing local two-qubit gates on the noisy pairs and the purified high-quality ECSs can be preserved for other *** MBEPP may have application potential in the implementation of long-distance quantum communication.

关键词： measurement-based entanglement purification entangled coherent state photon loss decoherence

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Utility Maximization for NFV-Based Tactile Internet

Utility Maximization for NFV-Based Tactile Internet

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IEEE International Conference on communications in China (ICCC)

作者： Xinmian Xu Haie Dou Mingkai Chen Lei Wang Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

In recent years, there has been significant attention and development in the Tactile Internet (TI) as a new type of network that supports typical applications such as remote healthcare and virtual reality. However, the demand for ultra-low latency and the inflexibility of traditional network architecture have presented serious challenges. In this paper, we propose a utility function for TI based on 5G network function virtualization (NFV) technology to evaluate network performance. The utility function considers the transmission of haptic and video data flows, as well as their latency and cost. We then formulate a network optimization problem with the utility function as the objective, strictly constraining latency and cost. To address this problem, we design two algorithms: the VNF deployment and routing of haptic and video flows (DRHV) algorithm tackles the VNF deployment and path selection issue, while the deep deterministic policy gradient(DDPG)-based traffic scheduling (DTS) algorithm allocates traffic resources and saves costs. Simulation results demonstrate that our algorithms achieve excellent optimization performance under the given constraints, and parameter changes align with the expected relationships and trends.

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Novel Deep Packet Compression For Industrial Internet of Things

Novel Deep Packet Compression For Industrial Internet of Thi...

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2022 IEEE GLOBECOM Workshops, GC Wkshps 2022

作者： Chen, Mingkai Lu, Hang Xu, Xinmian Tang, Xiao-Wei Fan, Qiang Lou, Chong Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing210003 China Huawei Technologies Co. Ltd Shanghai201206 China

ISBN: (纸本)9781665459754

Nowadays, Industrial Internet of Things (IIoT) has been considered as a promising technology to provide data acquisition for Industry 4.0. However, packet compression in IIoT still exists multi-protocol heterogeneity, lack of robustness, compression ratio to be improved and some other issues. Inspired by the above reasons, in this paper we investigate a novel deep packet compression for IIoT in order to reduce redundant data while maintaining high robustness. For one thing, facing to protocol heterogeneity, we propose Universal Dynamic Ethernet Header Compression (UDEHC) to embrace five major protocols. For another, we provide Generalized Deduplication using Static Dictionary (GDSD) scheme to obtain 16-20% compression improvement and high reliability. Extensive simulation results are provided to validate the theoretical analysis and demonstrate the effectiveness in wireless circumstance. © 2022 IEEE.

关键词： Internet of things

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Research of Malicious Code Attack Effect Based on Synthetic Entropy Method

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Chinese Journal of Electronics 2023年第3期22卷 449-454页

作者： LI Peng WANG Ruchuan College of Computer Nanjing University of Posts and Telecommunications Nanjing China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing China

To resolve the problem of assessing the effect of a network attack, this paper combines cross entropy with network character entropy method and proposes scheme to evaluate the malicious code attack effect. It captures the related indicators in real time and normalizes the data so as to evaluate it at the same level. It adopts cross entropy method to pretreat the indicators adaptively. We calculate the weight coefficient and exploit network character entropy method to evaluate the attack with accuracy according to the importance of the indicators in the evaluation system. Experimental results and corresponding comparisons reveal that the proposed method can quantitatively determine the exact effect of the malicious code attack.

关键词： Industries Medical services Entropy Malware Real-time systems Information technology

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Stackelberg Game for wireless Powered and Backscattering Enabled sensor networks

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China communications 2024年第3期21卷 189-204页

作者： Lyu Bin Cao Yi Wang Shuai Guo Haiyan Hao Chengyao Key Laboratory of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network Suzhou 215006China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

This paper investigates a wireless powered and backscattering enabled sensor network based on the non-linear energy harvesting model, where the power beacon(PB) delivers energy signals to wireless sensors to enable their passive backscattering and active transmission to the access point(AP). We propose an efficient time scheduling scheme for network performance enhancement, based on which each sensor can always harvest energy from the PB over the entire block except its time slots allocated for passive and active information delivery. Considering the PB and wireless sensors are from two selfish service providers, we use the Stackelberg game to model the energy interaction among them. To address the non-convexity of the leader-level problem, we propose to decompose the original problem into two subproblems and solve them iteratively in an alternating manner. Specifically, the successive convex approximation, semi-definite relaxation(SDR) and variable substitution techniques are applied to find a nearoptimal solution. To evaluate the performance loss caused by the interaction between two providers, we further investigate the social welfare maximization problem. Numerical results demonstrate that compared to the benchmark schemes, the proposed scheme can achieve up to 35.4% and 38.7% utility gain for the leader and the follower, respectively.

关键词： backscatter communication energy interaction stackelberg game wireless powered sensor network

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Transmit Rate Enhancement for STAR-RIS-Assisted Uplink NOMA

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IEEE Transactions on Vehicular technology 2025年第5期74卷 7651-7665页

作者： Feng, Youhong Xu, Longzhu Li, Qiang Yan, Shihao Wang, Hong Ng, Derrick Wing Kwan Anhui Normal University School of Physics and Electronic information Wuhu241000 China Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Edith Cowan University School of Science and Security Research Institute JoondalupWA6027 Australia Nanjing University of Posts and Telecommunications School of Communication and Information Engineering Nanjing210003 China University of New South Wales School of Electrical Engineering and Telecommunications SydneyNSW2033 Australia

In this paper, a novel simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) enhanced uplink non-orthogonal multiple access (NOMA) communication network is investigated. Specifically, we tackle the transmit rate maximization problem for the strong user, subject to the constraints on total power consumption and the successive interference cancellation order, while guaranteeing the minimum quality-of-service requirement for the weak user. To address such a non-convex optimal problem, we introduce a novel, efficient, and low-complexity scheme. Specifically, the power allocation and receive beamforming optimization solutions are acquired in closed forms, and the transmission and reflection coefficients are obtained in semi-closed forms with a one-dimensional bisection search. Then, theoretical analysis demonstrates our proposed scheme has a lower complexity compared to the schemes with alternating direction method of multipliers (ADMM) and semidefinite relaxation (SDR) strategies, and the complexity advantage of our proposed scheme over the SDR and ADMM aided schemes becomes prominent when the number of RIS elements increase. Simulation results show that the proposed STAR-RIS-NOMA scheme achieves a better performance than the conventional STAR-RIS-aided orthogonal multiple access (OMA) scheme and STAR-RIS aided NOMA scheme adopting random phase shifts. More specifically, the proposed STAR-RIS-NOMA scheme outperforms the STAR-RIS-OMA scheme in terms of the strong user's rate, especially when the quality-of-service (QoS) requirements for weak user is high, or there is a significant difference channel quality between the reflecting and transmitting links. © 1967-2012 IEEE.

关键词： Convex optimization

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Single-channel Speech Separation by l0 Optimization Using Quasi-KLT Bases

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Chinese Journal of Electronics 2023年第3期21卷 535-540页

作者： GUO Haiyan YANG Zhen ZHU Weiping YE Lei College of Engineering Nanjing Agricultural University Nanjing China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Ministry of Education) Nanjing University of Posts and Telecommunications Nanjing China

This paper deals with single-channel speech separation. First, it is proved that when the sparse bases of the signal sources satisfy certain conditions, all the sources can be perfectly separated from a single mixture by l o optimization. Then, a special case where the single mixture is generated by two independent speech sources is studied in more detail. It is revealed that the ideal quasi-KLT bases constructed from the original sources satisfy the sufficient conditions for perfect separation of mixed signals. Considering the fact that the ideal quasi-KLT bases cannot be obtained in practice, template-matching based quasi-KLT bases generated from the single mixture are also proposed to perform single-channel speech separation. Finally, simulation results demonstrating the effective performance of single-channel separation of two speech sources by l o optimization using the template-matching based quasi-KLT bases are presented.

关键词： Sufficient conditions Simulation Transforms Programming Optimization

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Multi-Modal Sensing and Lighting Estimation for PoE-Enabled Intelligent and Energy-Efficient Lighting networks

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IEEE Internet of Things Journal 2025年

作者： Tang, Liwei Xu, Yuanyuan Liu, Xiaodong Wang, Yuhao Wang, Jinyuan Shao, Huilong Nanchang University School of Information Engineering Nanchang330031 China Nanchang Laboratory Nanchang330224 China Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China

The application of power over Ethernet (PoE)-enabled lighting has emerged as a groundbreaking technology with the potential to achieve cooperative control and create an energy-saving lighting network. However, fine-grained user-side lighting environment perception is crucial to improve energy efficiency and user experience. To tackle this issue, a PoE-enabled intelligent lighting network with multi-modal sensing is proposed. Specifically, a multi-modal sensor is designed and installed on the side of the luminaire to provide both fine-grained lighting environment monitor and dimming. Then, a multilayer perceptron (MLP)-based estimation scheme is proposed to estimate the illumination and color temperature information around the user activity area. Moreover, an experimental lighting network is constructed and deployed in a classroom to measure practical lighting dataset. The proposed scheme effectively estimates the lighting quality on the user side based on the measurement data. Furthermore, based on the estimated information and the collaborative control capabilities of PoE, the operating current of the luminaire is updated in real time, and thus the ambient light resource is fully utilized. Finally, the proposed lighting network achieves a 39.99% energy saving. © 2014 IEEE.

关键词： Lighting fixtures

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