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Combining the Inherent Distance Geometry Constraints of CMD and Triangulation Constraints to Improve Positioning Accuracy

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IEEE sensorS JOURNAL 2025年第5期25卷 8528-8538页

作者： Long, Yu Xiong, Mingjie Sun, Hui Zhao, Qi Shui, Wenqi Qin, Shuang Sichuan Normal Univ Coll Phys & Elect Engn Key Lab Wireless Sensor Network Univ Sichuan Prov Chengdu 610101 Peoples R China

In wireless sensor networks (WSNs), sources are usually localized with the help of pre-deployed base stations (BSs). Due to the unknown environment, the main challenge in source localization is the non-line-of-sight (NLOS) error. This article focuses on two approaches, such as triangulation constraints based on the relationships between each BS, and distance geometry constraints of Cayley-Menger determinants (CMDs). However, there is no literature using them jointly. Therefore, this study aims to combine triangulation constraints and distance geometry constraints of CMD to improve localization performance. First, we obtain the weight coefficients for all combinations of BSs by solving the Karush-Kuhn-Tucker (KKT) conditions for the triangular constraints and the distance geometry constraints of CMD. Since various combinations of BSs have different weighting coefficients, this leads to uncertainty. Then, based on the uncertainty of the weight coefficients, we formulate the source localization problem as a robust least squares (RLS) problem. Finally, we eliminate the uncertainty by continuously relaxing the constraints through some mathematical methods, such as Cauchy-Schwarz inequality and norm compatibility. In addition, excessively relaxing the constraints may lead to low estimation accuracy, so we add some inherent constraints. Simulations and experiments demonstrate that the proposed method can perform well in different environments.

关键词： wireless sensor networks Location awareness Accuracy Geometry Upper bound Optimization sensors Mathematical models wireless communication Vectors Cayley-Menger determinant (CMD) Karush-Kuhn-Tucker (KKT) conditions non-line-of-sight (NLOS) robust optimization wireless localization

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Side-channel free quantum digital signature with source monitoring

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Chinese Physics B 2025年第1期34卷 53-58页

作者： Luo-Jia Ma Ming-Shuo Sun Chun-Hui Zhang Hua-Jian Ding Xing-Yu Zhou Jian Li Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Broadband Wireless Communication and Sensor Network Technology Key Laboratory of Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China

Quantum digital signature(QDS)can guarantee the information-theoretical security of a signature with the fundamental laws of quantum ***,most current QDS protocols do not take source security into account,leading to an overestimation of the signature *** this paper,we propose to utilize Hong–Ou–Mandel interference to characterize the upper bound of the source imperfections,and further to quantify information leakage from potential ***,we combine decoy-state methods and finite-size analysis in analyzing the signature *** results demonstrate the performance and feasibility of our *** current work can improve the practical security of QDS systems,thereby promoting their further networked applications.

关键词： Hong-Ou-Mandel interference side-channel free quantum digital signature

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Equivalent Bandwidth Concept and Its Usage in the network Selection

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China communications 2025年第2期22卷 213-225页

作者： Ma Anhua Pan Su Zhou Weiwei Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and TelecommunicationsNanjing 210003China

Maximize the resource utilization efficiency and guarantee the quality of service(QoS)of users by selecting the network are the key issues for heterogeneous network operators,but the resources occupied by users in different networks cannot be compared *** paper proposes a network selection algorithm for heterogeneous ***,the concept of equivalent bandwidth is proposed,through which the actual resources occupied by users with certain QoS requirements in different networks can be compared *** the concept of network applicability is defined to express the abilities of networks to support different *** proposed network selection algorithm first evaluates whether the network has enough equivalent bandwidth required by the user and then prioritizes network with poor applicability to avoid the situation that there are still residual resources in entire network,but advanced services can not be *** simulation results show that the proposed algorithm obtained better performance than the baselines in terms of reducing call blocking probability and improving network resource utilization efficiency.

关键词： call blocking probability equivalent bandwidth heterogeneous network network applicability

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Improved reference-frame-independent quantum key distribution with intensity fluctuations

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Chinese Physics B 2025年第2期34卷 48-52页

作者： Zi-Qi Chen Hao-Bing Sun Ming-Shuo Sun Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Broadband Wireless Communication and Sensor Network Technology Key Laboratory of Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China

Reference-frame-independent quantum key distribution(RFI-QKD) can avoid real-time calibration operation of reference frames and improve the efficiency of the communication process. However, due to imperfections of optical devices,there will inevitably exist intensity fluctuations in the source side of the QKD system, which will affect the final secure key rate. To reduce the influence of intensity fluctuations, an improved 3-intensity RFI-QKD scheme is proposed in this *** considering statistical fluctuations and implementing global parameter optimization, we conduct corresponding simulation analysis. The results show that our present work can present both higher key rate and a farther transmission distance than the standard method.

关键词： quantum key distribution intensity fluctuations decoy-state method

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Optimized Qubit -Based Synchronization in Quantum key Distribution

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IEEE communications Letters 2025年第5期29卷 1087-1091页

作者： Sun, Hao-Bing Li, Jian Chu, Xing-Wang Liu, Jing-Yang Ding, Hua-Jian Wang, Qin Nanjing University of Posts and Telecommunications Institute of quantum information and technology Broadband Wireless Communication and Sensor Network Technology Key Lab of Ministry of Education Telecommunication and Networks National Engineering Research Center Nanjing210003 China

Quantum key distribution (QKD) enables the generation of information-theoretic secure keys between two remote parties. A critical component of successful QKD implementation is the effective synchronization of clocks between these users. Traditional methods of locking to a reference clock or transmitting a synchronization signal rely on auxiliary equipment, which increases the complexity and cost, thus hindering the widespread deployment of QKD. Here, we propose a method to achieve clock and pulse synchronization by exploiting a subset of the transmitted qubits. We demonstrate our scheme with a time-bin phase-coding BB84 QKD system and verify the realization of long-term stable key generation over distances of 50 km and 100 km. Our method simplifies the implementation of QKD systems and introduces new possibilities for synchronization algorithms in other quantum communication protocols. © 1997-2012 IEEE.

关键词： Qubits

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Minimization of Energy Consumption Using Optimum Resource Allocation Scheme in D2D communication for IoT Applications 3rd

Minimization of Energy Consumption Using Optimum Resource Al...

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3rd International Conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Pandey, Krishna Chandra, Saurabh Sharma, Vipin Arya, Rajeev Wireless Sensor Network Lab Department of Electronics and Communication Engineering National Institute of Technology Bihar Patna800005 India

ISBN: (纸本)9789819743582

D2D communication plays a vital role in the Internet of Things within the framework of 5G technology. Within D2D communication, resource allocation stands out as a critical research area aimed at enhancing the capabilities of 5G communication for IoT applications. In our proposed work, we begin by establishing a mathematical framework designed to minimize energy consumption in the allocation of frequency bands, utilizing a novel algorithm. Subsequently, we harness the core principles of this algorithm through the application of three distinct optimization methods: (i) the genetic algorithm, (ii) the simulated annealing approach, and (iii) the coalition game theory technique. The analysis and results derived from these methodologies shed light on the individual contributions of these optimization techniques and allow us to conduct a comparative analysis, focusing on convergence patterns. The proposed work provides insights for researchers in domain of the D2D system to facilitate decision-making regarding optimization strategies. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Genetic algorithms

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Resource Allocation in 6G network for High-Speed Train Using D2D Outband communication 3rd

Resource Allocation in 6G Network for High-Speed Train Using...

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3rd International Conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Garg, Aakansha Arya, Rajeev Singh, Maheshwari Prasad Wireless Sensor Network Lab Department of Electronics and Communication Engineering Patna India Department of Computer Science and Engineering National Institute of Technology Patna India

ISBN: (纸本)9789819743582

The growth of 6G results in rising data transmission rate in static scenario. To achieve fast communication and computation with quality service in high-speed train is a challenge. This is due to fast handover and Doppler shift. To effectively communicate in high-speed train, the placement of a mobile relay (MR) with small server at the rooftop of train coach is proposed. The base station sends channel state information to mobile relay which stores it in the stack. The resource assignment has been conducted by an improved grey wolf optimization algorithm. The focus is at improving throughput with reduction in latency and energy consumption. The simulation outcomes manifests that the presented algorithm carry-out finer in comparison of the Hungarian algorithm. The accomplished results are refined almost three times in respect of energy consumption, latency, and throughput. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Resource allocation

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A teacher-student based attention network for fine-grainedimage recognition

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Digital communications and networks 2025年第1期11卷 52-59页

作者： Ang Li Xueyi Zhang Peilin Li Bin Kang Key Laboratory of Broadband Wireless Communication and Sensor Network Technology(Ministry of Education) Nanjing University of Posts and TelecommunicationsNanjing210003China School of Communications and Information Engineering Nanjing University of Posts and TelecommunicationsNanjing210003China School of Internet of Things Nanjing University of Posts and TelecommunicationsNanjing210003China

Fine-grained Image Recognition(FGIR)task is dedicated to distinguishing similar sub-categories that belong to the same super-category,such as bird species and car *** order to highlight visual differences,existing FGIR works often follow two steps:discriminative sub-region localization and local feature ***,these works pay less attention on global context *** neglect a fact that the subtle visual difference in challenging scenarios can be highlighted through exploiting the spatial relationship among different subregions from a global view ***,in this paper,we consider both global and local information for FGIR,and propose a collaborative teacher-student strategy to reinforce and unity the two types of *** framework is implemented mainly by convolutional neural network,referred to Teacher-Student Based Attention Convolutional Neural network(T-S-ACNN).For fine-grained local information,we choose the classic Multi-Attention network(MA-Net)as our baseline,and propose a type of boundary constraint to further reduce background noises in the local attention *** this way,the discriminative sub-regions tend to appear in the area occupied by fine-grained objects,leading to more accurate sub-region *** fine-grained global information,we design a graph convolution based Global Attention network(GA-Net),which can combine extracted local attention maps from MA-Net with non-local techniques to explore spatial relationship among *** last,we develop a collaborative teacher-student strategy to adaptively determine the attended roles and optimization modes,so as to enhance the cooperative reinforcement of MA-Net and *** experiments on CUB-200-2011,Stanford Cars and FGVC Aircraft datasets illustrate the promising performance of our framework.

关键词： Fine-grained image recognition Collaborative teacher-student strategy Multi-attention Global attention

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Joint optimization of energy consumption and latency for task offloading in cloud-edge collaboration system

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PHYSICAL communication 2025年 70卷

作者： Jiang, Xue Dou, Haie Wang, Lei Xia, Zhijie Nanjing Univ Posts & Telecommun Sch Internet Things Nanjing Peoples R China Nanjing Univ Posts & Telecommun Jiangsu Engn Res Ctr Commun & Network Technol Nanjing Peoples R China Nanjing Univ Posts & Telecommun Key Lab Broadband Wireless Commun & Sensor Network Nanjing Peoples R China

Ina cloud-edge collaboration system, ensuring consistent wireless connectivity that meets the quality of service (QoS) for users with varying requirements is challenging. Therefore, the approach to task offloading for all mobile devices (MDs) should be carefully designed to enhance performance based on different requirements. This paper introduces a novel multi-objective genetic algorithm (MOGA) to address the task offloading problem, considering minimal energy consumption and latency simultaneously. Experimental results demonstrate that the proposed multi-objective genetic algorithm achieves rapid convergence and optimizes delay and energy consumption.

关键词： Cloud-edge collaborative Task offloading Multi-objective genetic algorithm

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Semantic ghost imaging based on semantic coding

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OPTICS AND LASER TECHNOLOGY 2025年 181卷

作者： Zhao, Shengmei He, Zheng Wang, Le Nanjing Univ Posts & Telecommun Inst Signal Proc & Transmiss Nanjing 210003 Peoples R China Sensor Network Technol Key Lab Broadband Wireless Commun Minist Educ Nanjing 210003 Peoples R China Nanjing Univ Natl Lab Solid State Microstruct Nanjing 210093 Peoples R China

To address the challenge of reconstructing high-quality images under low sampling during the Ghost Imaging (GI) procedure, we propose a semantic GI method based on semantic encoding. Through training, the obtained continuous weights of the convolution kernels are served as the speckle patterns. A processing module and a Recurrent Neural network (RNN) are then employed to decode and reconstruct the images. Both the speckle patterns and their corresponding bucket values are optimized, so that the semantic information of the target object can be better extracted. With different gated recurrent units (GRU) layers for the target objects in different datasets, the feasibility of the proposed GI method is validated by the numerical simulations and experiments on the simple target objects (the handwriting digits "0"to "9") and more complex target objects ("NUPT"). The results show that the target objects (the handwriting digits) can be reconstructed with higher quality even at a lower sampling rate of 1.28%. Additionally, the proposed method has applicability for more complex objects (such as "NUPT") in real applications. In comparison with those results by using traditional ghost imaging (TGI), deep convolution auto-encoder network (DCAN), and RNN-based GI (GI-RNN), the proposed GI method shows a better performance in terms of the quality of reconstructed images and the training time, that is, the proposed method can have both good reconstructed image quality and less training time. By introducing the concept of semantic communication into GI, the proposed method provides a new idea for the model-based GI.

关键词： Ghost imaging Speckles optimization Deep learning Recurrent Neural network

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