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Toward zero trust in 5G Industrial Internet collaboration systems

Digital communications and networks 2025年第2期11卷 547-555页

作者： Han Zhang Ziyan Zhang Liquan Chen School of Cyber Science and Engineering Southeast University ZTE Corporation State Key Laboratory of Mobile Network and Mobile Multimedia Technology Purple Mountain Laboratories for Network and Communication Security

With the introduction of 5G, users and devices can access the industrial network from anywhere in the world. Therefore, traditional perimeter-based security technologies for industrial networks can no longer work well. To solve this problem, a new security model called Zero Trust(ZT) is desired, which believes in “never trust and always verify”. Every time the asset in the industrial network is accessed, the subject is authenticated and its trustworthiness is assessed. In this way, the asset in industrial network can be well protected, whether the subject is in the internal network or the external network. However, in order to construct the zero trust model in the 5G Industrial Internet collaboration system, there are still many problems to be solved. In this paper, we first introduce the security issues in the 5G Industrial Internet collaboration system, and illustrate the zero trust architecture. Then, we analyze the gap between existing security techniques and the zero trust architecture. Finally, we discuss several potential security techniques that can be used to implement the zero trust model. The purpose of this paper is to point out the further direction for the realization of the Zero Trust Architecture(ZTA) in the 5G Industrial Internet collaboration system.

关键词： Zero trust 5G Industrial Internet collaboration system Trust assessment Access control Authentication

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TRBFT: An Efficient Blockchain Consensus for Edge Computing-Enabled IoT Systems

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IEEE Internet of Things Journal 2025年第11期12卷 15853-15868页

作者： Zheng, Jiali Zhang, Yuxi Guangxi University Guangxi Key Laboratory of Multimedia Communications and Network Technology School of Computer Electronics and Information Guangxi Nanning530004 China

With the continuous expansion of the Internet of Things (IoT), and despite reductions in communication latency enabled by edge computing, the decentralized nature of node structures poses significant security challenges. Blockchain is considered a critical technology for enhancing IoT security. However, traditional consensus exhibits limitations in efficiency and security when facing the exponential growth of IoT nodes necessitating further optimization and innovation. This paper proposes the threshold signature and reputation-enhanced Byzantine fault tolerance (TRBFT) algorithm. First, we integrate IoT with edge computing architectures, conduct a comprehensive evaluation of node reputation based on behavioral quality and contribution to consensus, and periodically update and categorize nodes into different sets with varying permissions. Secondly, the algorithm ensures that the selection of primary nodes strikes a balance between reliability and randomness, while employing a segmented screening scheme that progressively restricts the participating nodes in consensus, aiming to enhance accuracy. Subsequently, the communication structure is improved by incorporating threshold signature with reputation weight, which reduces communication complexity. Ultimately, simulation results demonstrate that TRBFT reduces the average consensus delay by 71.1% and increases the average throughput by 3.95 times compared to the advanced consensus HotStuff. In scenarios with faulty nodes, TRBFT increases the chain growth rate by 65.12% and decreases the block interval by 54.26% relative to HotStuff. The findings show the superior scalability and fault tolerance of TRBFT, making it better suited for large-scale IoT scenarios integrated with edge computing. © 2025 IEEE.

关键词： Blockchain

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Spatial Super-Channel Provisioning in Fiber Space Division Multiplexing (FSDM) Optical networks

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Journal of Lightwave technology 2025年第10期43卷 4591-4606页

作者： Han, Shudan Li, Yongcheng Chang, Zeshan Li, Liangchuan Chang, Tianhai Shen, Gangxiang Soochow University Jiangsu New Optical Fiber Technology and Communication Network Engineering Research Center Suzhou Key Laboratory of Advanced Optical Communication Network Technology School of Electronic and Information Engineering Suzhou215006 China Huawei Technology Shenzhen518129 China

Space Division Multiplexing (SDM) and Spatial Super-Channel (Spa SCh) technology provide scalable solutions to meet the growing capacity demands of optical networks. This study focuses on multi-fiber optical networks integrated with innovative Spa SChs, enabling the creation of various Spa SCh granularities by spatially combining the same spectrum across multiple fibers, a transmission method referred to as Fiber-SDM (FSDM). To assess the performance of the FSDM-based network, we develop an analytical model to predict the blocking probability (BP) of Spa SChs with different granularities. Additionally, we propose an efficient adaptive Routing, Fiber, and Spectrum Assignment (RFSA) algorithm, based on the concepts of Spatial Spectrum Window (SSW) and the SSW plane (SSWP). Simulations are conducted to evaluate lightpath BP, considering the trade-off between system cost and power consumption. The results demonstrate the accuracy of the analytical model in predicting lightpath BP in the FSDM network. Furthermore, the Adaptive SSW Plane (A-SSWP) algorithm outperforms the benchmark RFSA algorithms, achieving the best performance under an optimal Spa SCh configuration. © 1983-2012 IEEE.

关键词： Blocking probability

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Long-Term Decision-Optimal Access Mechanism in the Large-Scale Satellite network: A Multiagent Reinforcement Learning Approach

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IEEE Internet of Things Journal 2025年第9期12卷 12686-12699页

作者： Zhang, Bo Gu, Yiyang Wang, Ye Yang, Zhihua Peng Cheng Laboratory Network Communication Department Shenzhen518055 China Harbin Institute of Technology Guangdong Provincial Key Laboratory of Aerospace Communication and Networking Technology Shenzhen518055 China Harbin Institute of Technology Communication Engineering Research Center Guangdong Shenzhen518055 China

The large-scale low-Earth orbit (LEO) satellite network presents an obvious challenge for user access with obviously dynamical coverage resulting from the fast-changing locations of LEO satellites, i.e., time-varying overlapped range in spatial and temporal coverage by multiple overhead satellites, making existing studies low throughput for supporting various users with fluctuating access demands. In this article, we propose a multiagent deep deterministic policy gradient-based access (MADDPGA) mechanism for the large-scale satellite network, which allows each user to adjust its strategy autonomously by learning the changing network conditions in the long term. By solving a throughput-maximizing optimization problem, we develop a fully decentralized multiagent deep reinforcement learning (MADRL) algorithm by exploiting optimal dormancy probability (DP) and a well-designed weighted allocation strategy. The simulation results show that the proposed method can effectively improve the throughput performance compared with the Random algorithm and fixed DP algorithm. © 2014 IEEE.

关键词： Satellite communication systems

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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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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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Predictive Generation for Digital Twin Channel:Long-Batch Time-Frequency Construction

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China communications 2025年第4期22卷 161-173页

作者： Che Chang Hu Jie Kang Honghui Rui Hua Lyu Xingzai Wang Bo School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China State Key Laboratory of Mobile Network and Mobile Multimedia Technology ZTE CorporationShenzhen 518055China

Wireless communication systems that incorporate digital twin(DT)alongside artificial intelligence(AI)are expected to transform 6G networks by providing advanced features for predictive modeling and decision *** key component is the creation of DT channels,which form the basis for upcoming ***,the existing work of channel predictive generation only considers time dimension,distribution-oriented or multi-step slidingwindow prediction schemes,which is not accurate and efficient for real-time DT communication ***,we propose the wireless channel generative adversarial network(WCGAN)to tackle the issue of generating authentic long-batch channels for DT *** generator based on convolutional neural networks(CNN)extracts features from both the time and frequency domains to better capture the *** loss function is designed to ensure that the generated channels consistently match the physical channels over an extended period while sharing the same probability ***,the accumulating error from the slicing window has been *** simulation demonstrates that an accurate and efficient DT channel can be generated by employing our proposed WCGAN in various scenarios.

关键词： channel generation channel prediction deep learning digital twin(DT) generative adversarial network(GAN)

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Reconfigurable Intelligent Surfaces for 6G: Engineering Challenges and the Road Ahead

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Intelligent and Converged networks 2025年第1期6卷 53-81页

作者： Zhao, Xianming Jian, Mengnan Chen, Yijian Zhao, Yajun Mu, Lin Future Information Technology Research Institute Harbin Institute of Technology Harbin150001 China State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen518055 China Wireless Research Institute ZTE Corporation Beijing100029 China

Reconfigurable Intelligent Surfaces (RISs) have emerged as a pivotal technology for the Sixth-Generation (6G) communication system, showcasing the ability to configure wireless environment dynamically. Acknowledged as a breakthrough in enhancing network coverage, augmenting system capacity, and facilitating advanced applications such as Integrated communication and Sensing (ISAC), RISs present a concrete approach to molding the future network evolution. The advancement of RIS technology necessitates a departure from idealistic assumptions and oversimplifications, compelling a progression towards models that more accurately reflect the physical attributes of hardware and the characteristics of propagation. In this paper, we delve into the practical constraints and limitations of current RIS design methodologies, conducting a comprehensive analysis based on the latest technological research advancements and product realizations. Our exploration is broad-ranging, encompassing the engineering challenges of single-point RISs, such as hardware impairments, intricacies of algorithm design, frequency spectrum-specific difficulties. A concentrated discourse is presented on novel near-field channel designs, the restrictions imposed by low-bit quantization, and the intricacies of amplitude-phase correlation constraints. This discussion aims to unearth the challenges, opportunities, and paradigmatic shifts induced by the practical deployment of RISs. The deployment challenges, networking dilemmas, simulation, and product evaluation is provided for RISs in large-scale networks from a broader system perspective. Furthermore, this paper highlights the critical need for accelerated efforts towards the commercialization of RISs. We explore the practical application revolution of RISs, encompassing engineering aspects and standardization processes. Our discussion aims to establish a foundational framework for introducing RISs into the market, acknowledging their significant potential

关键词： Product design

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Edge-aware Laplacian Pyramid network for Efficient Image Deblurring

Edge-aware Laplacian Pyramid Network for Efficient Image Deb...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Xu, Zhe Lei, Zhipei Gou, Dingyong Wu, Yanlin Zhang, Liwen Li, Cong ZTE Corporation Shenzhen518057 China State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen518055 China

ISBN: (纸本)9798350368741

Image deblurring is dedicated to restoring blurry images resulting from camera shake or target motion into high-quality sharp images. Recent work has made notable progress in image deblurring, but few studies have focused on the role of high-frequency information in this task. Hence, an efficient Edge-aware Laplacian Pyramid network (ELPNet) is proposed for image deblurring. Specifically, we introduce a reversible Laplacian pyramid decomposition and reconstruction mechanism within the deblurring network, guiding the reconstruction of high-frequency information. Additionally, we present a novel Large-Kernel convolution Hybrid Attention Block (LKHAB) that leverages re-parameterization to effectively integrate channel-wise and spatial-invariant features with a larger receptive field. We also introduce an Edge-Aware Merge Block (EAMB) that combines Laplacian and Scharr operators with difference convolutions to create various learnable edge gradient convolutions. The EAMB can elegantly capture the edge information of features, and through re-parameterization, enables to merging of different edge gradient convolutions into a vanilla convolution during inference. Experimental results show that the proposed method achieves state-of-the-art performance with significantly reduced parameters and computation. © 2025 IEEE.

关键词： attention edge-aware Image deblurring Laplacian pyramid re-parameterization

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Machine learning empowered UAV-based beamforming design in ISAC systems

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Science China(Information Sciences) 2025年第5期68卷 285-286页

作者： Xiangyang DUAN Xiaoqi ZHANG Shuqiang XIA Zhongbin WANG Yihua MA Weijie YUAN State Key Laboratory of Mobile Network and Mobile Multimedia Technology Wireless and Computing Research InstituteZTE Corporation School of Electrical and Data Engineering University of Technology Sydney School of Automation and Intelligent Manufacturing Southern University of Science and Technology

Integrated sensing and communication (ISAC) has been proposed as an enabling technology for the realization of the next-generation wireless system,which focuses on performing wireless communication and sensing *** the various potential ISAC-based applications,unmanned aerial vehicle (UAV)-based ISAC plays a significant part in unlocking the potential of future next-generation wireless communication,facilitating low-latency data transmission in high-mobility *** by recent advancements,a variety of effective techniques have been investigated to optimize beamforming design in ISAC *** instance,the authors in [1] introduced an extended Kalman filtering (EKF)-based method tailored for millimeter wave (mmWave) ISAC ***,Ref.[2]proposed an extended interacting multiple model (IMM)-EKF framework designed for vehicular networks with intricate roadway *** these advancements,the aforementioned methods typically employ a separate scheme for channel prediction and beam alignment,which introduces additional signaling overhead in real-world ***,there is a demand for an end-to-end beamforming design approach specifically for UAV-based ISAC systems.

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