检索结果-内蒙古大学图书馆

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

作者： Dou, Haie Xu, Zhichen Jiang, Xue Cui, Jingwu Zheng, Baoyu Nanjing University of Posts and Telecommunications Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing China

ISBN: (纸本)9781665407854

Computational offloading, as one of the means to reduce latency and energy consumption in mobile edge computing (MEC), can reduce industrial costs through reasonable offloading decisions. A mixed-integer nonlinear optimization problem that minimizes task completion time is constructed for the smart grid scenario where there are power terminals with insufficient computing power to deal with high latency arising from low latency and high reliability applications, and a joint optimization strategy for task offloading decision and resource allocation is proposed. The strategy first decomposes the problem into two sub-problems, resource allocation and task offloading, and first adopts the Lagrange multiplier method to obtain the optimal solutions for computing resources as well as spectrum resource allocation, and then uses an adaptive genetic algorithm to formulate the offloading decision under the condition of determining the optimal solution for each resource allocation. The simulation results show that the proposed algorithm can minimize the task latency of electric terminals under the condition of limited resources and improve the service experience of end users. © 2021 IEEE.

关键词： Resource allocation

来源：评论

学校读者我要写书评

暂无评论

Dynamic Resource Scheduling Strategy with QoE-aware for the Coexistence of eMBB and URLLC Traffic 13

Dynamic Resource Scheduling Strategy with QoE-aware for the ...

引用

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

作者： Wang, Lei Yuan, Jie Jiang, Xue Cui, Jingwu Zheng, Baoyu Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing China

ISBN: (纸本)9781665407854

The coexistence of URLLC and eMBB services are very important for high data rate and low latency services in 5th Generation(5G) mobile network. But it is a difficult challenge to optimize resource allocation through effective scheduling in this case. Therefore, this paper proposes a coexistence scheme of URLLC and eMBB with the puncturing mechanism. Considering rate demands of different users, we introduce a QoE-aware utility function. Then, we formulate an optimization problem that maximize the average system utility while meeting URLLC requirements. Considering the non-deterministic polynomial(NP) hard nature of the problem, we divide the problem into two parts. In order to solve the problems, we take an iterative way, which further use an effective heuristic algorithm for resource allocation and URLLC puncturing. Simulation results show the advantage of this method compared with other ways. © 2021 IEEE.

关键词： Heuristic algorithms

来源：评论

学校读者我要写书评

暂无评论

An Optimization Method to Maximize the Service Quality of SCMA Grant-Free Access with MPR 13

An Optimization Method to Maximize the Service Quality of SC...

引用

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

作者： Wang, Lei Xu, Jing Qi, Ting Jiang, Xue Cui, Jingwu Zheng, Baoyu Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing China

ISBN: (纸本)9781665407854

Grant-free access successfully reduces the overhead and delay of signaling in the scenario of ultra-reliable low-latency communications (URLLC). However, it is also prone to conflict in the case of high load, resulting the lose of spectrum efficiency, reduced reliability and increased delay. In this paper, we realize K-multipacket reception (K-MPR) with sparse code multiple access (SCMA) technology to improve spectrum efficiency and throughput, and yet its implementation greatly increases the difficulty of ensuring the reliability of data transmission. Therefore, we propose an optimization method to maximize service quality of SCMA grant-free access with MPR. First, we investigate the behaviors of transient system via Markov chain to obtain reliability under delay constraints. Furthermore, we use dichotomy to calculate the minimum MPR ability value K. The simulation results show the validity of theoretical analysis. The proposed scheme maintains the increasing trend of reliability under delay constraints and tradeoff between throughput and reliability under delay constraints is presented, while optimal tradeoff between spectrum efficiency and reliability is achieved. © 2021 IEEE.

关键词： Reliability

来源：评论

学校读者我要写书评

暂无评论

communication-Efficient Distributed Learning in Massive IoT: A Graph-Based Perspective

Communication-Efficient Distributed Learning in Massive IoT:...

引用

IEEE Conference on wireless communications and networking

作者： Lindong Zhao Jingyue Tang Mingzhe Chen Liang Zhou Weihua Zhuang Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China Department of Electrical and Computer Engineering University of Waterloo Waterloo Canada

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

Various distributed learning approaches emerge for enabling ubiquitous intelligence in Internet of Things (IoT) without sacrificing data privacy. To improve communication efficiency in frequent knowledge exchange over resource-constrained IoT, different techniques for client selection have been proposed. However, the intractable scalability issues remain to be addressed in massive IoT, since highly-coupled co-channel interference adds exponential complexity to combinatorial client selection. In this work, we develop a client selection framework highly-scalable to large-scale networks with thousands of devices, which exploits the inherent graph structure derived from knowledge exchange and co-channel interference. Specifically, we first model a client selection problem for jointly optimizing learning performance and system cost under volatile network conditions. The formulated problem is encoded into a node classification problem by a directed graph. Subsequently, a general yet simple solver is designed based on graph neural networks, which selects clients by classifying node status with recursive neighborhood aggregation of node representations. Finally, extensive experimental results demonstrate that the proposed approach can perform on par with state-of-the-art methods, while scaling to networks whose size is orders of magnitude larger than they can handle.

关键词： Performance evaluation Knowledge engineering Computer aided instruction Costs Distance learning Scalability Graph neural networks Data models Internet of Things Interchannel interference

来源：评论

学校读者我要写书评

暂无评论

Secure Energy Efficiency Resource Allocation for D2D communication with Full-Duplex Radio 13

Secure Energy Efficiency Resource Allocation for D2D Communi...

引用

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

来源：评论

学校读者我要写书评

暂无评论

Knowledge Tracing Based Wheel Spinning Detection Model in Intelligent Tutoring Systems

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

Research of Malicious Code Attack Effect Based on Synthetic Entropy Method

引用

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

来源：评论

学校读者我要写书评

暂无评论

Measurement-based entanglement purification for entangled coherent states

引用

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

来源：评论

学校读者我要写书评

暂无评论

Ghost edge detection based on HED network

引用

Frontiers of Optoelectronics 2022年第3期15卷 25-33页

作者： Shengmei Zhao Yifang Cui Xing He Le Wang Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications(NUPT)Nanjing 210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology(NUPT) Ministry of EducationNanjing 210003China

In this paper,we present an edge detection scheme based on ghost imaging(GI)with a holistically-nested neural *** so-called holistically-nested edge detection(HED)network is adopted to combine the fully convolutional neural network(CNN)with deep supervision to learn image edges *** data are used to train the HED network,and the unknown object’s edge information is reconstructed from the experimental *** experiment results show that,when the compression ratio(CR)is 12.5%,this scheme can obtain a high-quality edge information with a sub-Nyquist sampling ratio and has a better performance than those using speckle-shifting GI(SSGI),compressed ghost edge imaging(CGEI)and subpixel-shifted GI(SPSGI).Indeed,the proposed scheme can have a good signal-to-noise ratio performance even if the sub-Nyquist sampling ratio is greater than 5.45%.Since the HED network is trained by numerical simulations before the experiment,this proposed method provides a promising way for achieving edge detection with small measurement times and low time cost.

关键词： Edge detection Ghost imaging(GI) Holistically-nested neural network Compression ratio(CR) Signal-tonoise ratio(SNR)

来源：评论

学校读者我要写书评

暂无评论

Cross-Modal Haptic Generation for Emergency Rescue in Internet of Robotic Things

引用

IEEE Internet of Things Journal 2025年

作者： Liu, Hengfa Wei, Xin Gao, Yun Zhou, Liang Qian, Yi Nanjing University of Posts and Telecommunications School of Communications and Information Engineering Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing210003 China University of Nebraska-Lincoln Department of Electrical and Computer Engineering OmahaNE68588 United States

Robots equipped with multi-modal sensing capabilities play an important role in the Internet of Robotic Things (IoRT), especially in emergency rescue. However, existing rescue robots pose challenges for human operators in achieving precise manipulation due to the absence of haptic signals. Additionally, limited and fluctuating bandwidth in emergency rescue renders current cross-modal haptic generation schemes ineffective. To overcome this dilemma, we propose a novel cross-modal haptic generation scheme that enhances scalability across diverse network conditions by leveraging correlations among audio-visual-haptic modalities. Specifically, we first propose an edge-device collaboration-based architecture that dynamically extracts semantics from audio-visual signals, tailored to the current network conditions, for haptic generation. This is achieved by predicting the network state at the edge and performing multi-modal encoding and fusion at the device. Next, we design a scalable cross-modal haptic generation scheme that implements the optimal generation strategy based on received audio-visual semantics of different granularities, ensuring real-time acquisition of coarse-grained or fine-grained haptic feedback. Finally, numerical experimental results conducted on a multi-modal dataset and a simulated emergency environment indicate that the proposed scheme reliably generates haptic signals in emergency rescue. © 2025 IEEE.

关键词： Robots

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：