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DTAIS:Distributed trusted active identity resolution systems for the Industrial Internet

Digital Communications and Networks 2024年第4期10卷 853-862页

作者： Tao Huang Renchao Xie Yuzheng Ren F.Richard Yu Zhuang Zou Lu Han Yunjie Liu Demin Cheng Yinan Li Tian Liu State Key Lab.of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijingChina Department of Systems and Computer Eng. Carleton UniversityOttawaONCanada

In recent years,the Industrial Internet and Industry 4.0 came into *** the development of modern industrial intelligent manufacturing technology,digital twins,Web3 and many other digital entity applications are also *** applications apply architectures such as distributed learning,resource sharing,and arithmetic trading,which make high demands on identity authentication,asset authentication,resource addressing,and service ***,an efficient,secure,and trustworthy Industrial Internet identity resolution system is ***,most of the traditional identity resolution systems follow DNS architecture or tree structure,which has the risk of a single point of failure and DDoS *** they cannot guarantee the security and privacy of digital identity,personal assets,and device *** we consider a decentralized approach for identity management,identity authentication,and asset *** this paper,we propose a distributed trusted active identity resolution system based on the inter-planetary file system(IPFS)and non-fungible token(NFT),which can provide distributed identity resolution *** we have designed the system architecture,identity service process,load balancing strategy and smart contract *** addition,we use Jmeter to verify the performance of the system,and the results show that the system has good high concurrent performance and robustness.

关键词： Industrial Internet NFT IPFS Trust Identity resolution system

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Dynamic Beam Pattern Based on Cooperation Multi-Agent VDN-D3QN for LEO Satellite Communication System

IEEE Transactions on Green Communications and Networking

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IEEE Transactions on Green Communications and networking 2024年第2期9卷 725-738页

作者： Meng, Meng Hu, Bo Chen, Shanzhi Kang, Shaoli Beijing University of Posts and Telecommunications State Key Lab of Networking and Switching Technology Beijing China State Key Lab of Wireless Mobile Communication Beijing China

Due to the cooperative coverage characteristic of LEO satellites and non-uniform traffic demand of beam positions, allocating the limited beam and power resource to massive beam positions flexibly and effectively is a challenge in beam hopping LEO satellite communication system. The agents in existing beam hopping schemes, which rely on deep reinforcement learning, are limited to acquiring state information within the coverage area of LEO satellite. For this reason, we propose a cooperation multi-agent Value-Decomposition Networks with Dueling Double Deep Q-Learning Network (VDN-D3QN) framework to generate dynamic beam hopping pattern for assuring delay fairness and throughput among beam positions in LEO satellite communication system. The proposed VDN-D3QN dynamic beam hopping method is divided into training and test phase, where each agent is only responsible for the beam hopping pattern of one LEO satellite. During the train phase, the agents learn to cooperate with other agents to maximize the system throughput and minimize the delay fairness among beam positions by Dueling Double Deep Q-Learning Network. Then, the Value-Decomposition Networks is employed to learn the optimal policy in a centralized manner through interaction with the environment. In test phase, the trained agents are deployed to address the challenging problem of inter-satellite communication in a distributed manner, and one agent is deployed per LEO satellite. The trained agents can make decisions about the dynamic beam hopping pattern based on the available local state information in LEO satellite communication system. The evaluation results demonstrate that the proposed multi-agent VDN-D3QN algorithm can effectively handle the non-uniform traffic demand of multi-satellites simultaneously. Besides, the simulation results indicate that the proposed VDN-D3QN algorithm can allocate resource intelligently for adapting the requirements of beam positions and achieving better performance compared to

关键词： Satellite communication systems

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An Adaptive Shooting and Bouncing Rays Method for Ray-Tracing Channel Modeling Assisted by Environmental Prior Information for 6G 35

An Adaptive Shooting and Bouncing Rays Method for Ray-Tracin...

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35th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2024

作者： Luo, Yubin Yu, Li Miao, Yinghe Zhang, Yuxiang Zhang, Jianhua Beijing University of Posts and Telecommunications State Key Lab of Networking and Switching Technology China

ISBN: (纸本)9798350362244

Due to the fact that the scale and construction of 6G communication systems are progressing toward unprecedentedly large and complex, accuracy and robustness of channel modeling method are vital to ensure that communication systems can work efficiently. Ray-Tracing (RT), as a precise deterministic modeling method, can meet most of these requirements. Shooting and Bouncing Rays (SBR) is a forward RT algorithm with high efficiency and wide usage. Traditional SBR utilizes environmental prior information, like distribution of scatters, only in path-finding. Channel parameters like quantity of rays are determined artificially, which affects SBR's performance especially in 6G systems. In order to enable SBR to conduct 6G modeling stably and efficiently, we propose an advanced SBR algorithm that utilizes environmental prior information globally for both path-finding progress and parameter-determination. Space-division, face-classification are some environmental-information-assisted processes of the proposed algorithm, which help to calculate channel parameters quantitatively. Additionally, our new algorithm accelerates path-finding progress by decreasing unnecessary intersections through space-division. Simulation reveals our new algorithm reduces computational complexity by 34.53% in comparison of traditional SBR. Furthermore, with Image Method (IM) as a standard, new algorithm has smaller Normalized Mean Squared Error (NMSE) of 78.09% less in LOS-path ignoring power-receiving, compared to traditional SBR. Other metrics such as Power-Delay Profile (PDP) are also demonstrated in our work. © 2024 IEEE.

关键词： Mean square error

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Lightweight Cloud Native Application Management Platform 24

Lightweight Cloud Native Application Management Platform

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7th International Conference on Software Engineering and Information Management, ICSIM 2024

作者： Chen, Yanpiao Peng, Shan State Key Lab of Networking and Switching Technology Beijing University of Post and Telecommunications China

ISBN: (纸本)9798400709197

In order to achieve comprehensive management and integration necessary for digital transformation, a large number of enterprises are now seeking solutions to establish an application management *** analyzing the development of application management platforms, it has been observed that they face numerous challenges and issues. One of the major challenges is the significant diversity in the environments where different applications operate. Various applications may be based on different technology frameworks, programming languages, or rely on different underlying infrastructures, leading to the complexity and difficulty in managing these diverse applications. However, the introduction of cloud-native technology has provided important solutions and opportunities to address this *** have implemented a lightweight cloud-native application management platform specifically designed for small and medium-sized enterprises. This management platform aims to provide various types of application runtime environments for different digital applications within an enterprise, supporting container-level application execution and offering comprehensive application management functionalities. By supporting multi-layered application templates (including Helm Chart templates, native YAML templates, etc.), it simplifies application deployment, achieving lightweight application deployment. Leveraging this application management platform, enterprises can rapidly establish and maintain their infrastructure for digital transformation. © 2024 ACM.

关键词： Containers

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Multi-Frequency Channel Measurement in Smart Factories: Comparative Analysis with 3GPP InF Scenarios 100

Multi-Frequency Channel Measurement in Smart Factories: Comp...

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100th IEEE Vehicular technology Conference, VTC 2024-Fall

作者： Mo, Qingmei Zhang, Yuxiang Wang, Jialin Liu, Yameng Chai, Zeyong Gong, Huiwen Zhang, Jianhua Beijing University of Posts and Telecommunications State Key Lab of Networking and Switching Technology Beijing China

ISBN: (纸本)9798331517786

Smart factory scenarios in the Industrial Internet of Things (IIoT) introduce novel challenges to wireless communication, characterized by large-scale device interaction, strong reflection, and dense scattering, diverging from typical factories. To ascertain the channel disparities between smart factories and typical factories, we analyze channel characteristics across sub-6 GHz (e.g., 6 GHz) and mmWave frequencies (e.g., 28 and 39 GHz) in smart factory scenarios, establishing a multi-frequency path loss model. Furthermore, the comparison between the large-scale fading characteristics, including path loss and root mean square delay spread (RMS DS), observed in smart factory scenarios and those in the typical indoor factory (InF) scenarios defined by the 3rd-Generation Partnership Project (3GPP). Additionally, channel characteristics of the metal and non-metal scatterer areas in the smart factories are extracted to analyze the impact of metal scatterers on angle spread (AS) and RMS DS. © 2024 IEEE.

关键词： Smart manufacturing

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Cooperative User-Scheduling and Resource Allocation Optimization for Intelligent Reflecting Surface Enhanced LEO Satellite Communication

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China Communications 2024年第2期21卷 227-244页

作者： Meng Meng Bo Hu Shanzhi Chen Jianyin Zhang State Key Lab of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China State Key Lab of Wireless Mobile Communication China Academy of Telecommunication TechnologyBeijing 100191China Research Institute of China Mobile Beijing 100053China

Lower Earth Orbit(LEO) satellite becomes an important part of complementing terrestrial communication due to its lower orbital altitude and smaller propagation delay than Geostationary satellite. However, the LEO satellite communication system cannot meet the requirements of users when the satellite-terrestrial link is blocked by obstacles. To solve this problem, we introduce Intelligent reflect surface(IRS) for improving the achievable rate of terrestrial users in LEO satellite communication. We investigated joint IRS scheduling, user scheduling, power and bandwidth allocation(JIRPB) optimization algorithm for improving LEO satellite system *** optimization problem of joint user scheduling and resource allocation is formulated as a non-convex optimization problem. To cope with this problem, the nonconvex optimization problem is divided into resource allocation optimization sub-problem and scheduling optimization sub-problem firstly. Second, we optimize the resource allocation sub-problem via alternating direction multiplier method(ADMM) and scheduling sub-problem via Lagrangian dual method ***, we prove that the proposed resource allocation algorithm based ADMM approaches sublinear convergence theoretically. Finally, we demonstrate that the proposed JIRPB optimization algorithm improves the LEO satellite communication system throughput.

关键词： convex optimization intelligent reflecting surface LEO satellite communication OFDM

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An Enhanced Dynamic Ray Tracing Architecture for Channel Prediction Based on Multipath Bidirectional Geometry and Field Extrapolation

An Enhanced Dynamic Ray Tracing Architecture for Channel Pre...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Miao, Yinghe Yu, Li Zhang, Yuxiang Xing, Hongbo Zhang, Jianhua Beijing University of Posts and Telecommunications State Key Lab of Networking and Switching Technology Beijing100876 China

ISBN: (纸本)9798350351255

With the development of sixth generation (6G) networks toward digitalization and intelligentization of communications, rapid and precise channel prediction is crucial for the network potential release. Interestingly, a dynamic ray tracing (DRT) approach for channel prediction has recently been proposed, which utilizes the results of traditional RT to extrapolate the multipath geometry evolution. However, both the priori environmental data and the regularity in multipath evolution can be further utilized. In this work, an enhanced-dynamic ray tracing (E-DRT) algorithm architecture based on multipath bidirectional extrapolation has been proposed. In terms of accuracy, all available environment information is utilized to predict the birth and death processes of multipath components (MPCs) through bidirectional geometry extrapolation. In terms of efficiency, bidirectional electric field extrapolation is employed based on the evolution regularity of the MPCs' electric field. The results in a Vehicle-to-Vehicle (V2V) scenario show that E-DRT improves the accuracy of the channel prediction from 68.3% to 94.8% while reducing the runtime by 7.2% compared to DRT. © 2024 IEEE.

关键词： Extrapolation

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An Approximate Wave-Number Domain Expression for Near-Field XL-Array Channel

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IEEE Transactions on Vehicular technology 2025年第5期74卷 8267-8272页

作者： Xing, Hongbo Zhang, Yuxiang Zhang, Jianhua Xu, Huixin Liu, Guangyi Wang, Qixing Beijing University of Posts and Telecommunications State Key Lab of Networking and Switching Technology Beijing100876 China China Mobile Research Institute Future Research Laboratory Beijing100053 China

As Extremely large-scale array (XL-array) technology advances and carrier frequency rises, the near-field effects in communication are intensifying. In near-field conditions, channels exhibit a diffusion phenomenon in the angular domain, existing research indicates that this phenomenon can be leveraged for efficient parameter estimation and beam training. However, the channel model in angular domain lacks closed-form analysis, making the time complexity of the corresponding algorithm high. To address this issue, this paper analyzes the near-field diffusion effect in the wave-number domain, where the wave-number domain can be viewed as the continuous form of the angular domain. A closed-form approximate wave-number domain expression is proposed, based on the Principle of Stationary Phase. Subsequently, we derive a simplified expression for the case where the user's distance is much larger than the array aperture, which is more concise. Subsequently, we verify the accuracy of the proposed approximate expression through simulations and demonstrate its effectiveness using a beam training example. Results indicate that the beam training scheme, improved by the wave-number domain approximation model, can effectively estimate near-field user parameters and perform beam training using far-field DFT codebooks. Moreover, its performance surpasses that of existing DFT codebook-based beam training methods. © 1967-2012 IEEE.

关键词： Channel estimation

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Adversarial Training-Aided Time-Varying Channel Prediction for TDD/FDD Systems

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China Communications 2023年第6期20卷 100-115页

作者： Zhen Zhang Yuxiang Zhang Jianhua Zhang Feifei Gao State Key Lab of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China Institute for Artificial Intelligence Tsinghua UniversityBeijing 100084China

In this paper, a time-varying channel prediction method based on conditional generative adversarial network(CPcGAN) is proposed for time division duplexing/frequency division duplexing(TDD/FDD) systems. CPc GAN utilizes a discriminator to calculate the divergence between the predicted downlink channel state information(CSI) and the real sample distributions under a conditional constraint that is previous uplink CSI. The generator of CPcGAN learns the function relationship between the conditional constraint and the predicted downlink CSI and reduces the divergence between predicted CSI and real *** capability of CPcGAN fitting data distribution can capture the time-varying and multipath characteristics of the channel well. Considering the propagation characteristics of real channel, we further develop a channel prediction error indicator to determine whether the generator reaches the best state. Simulations show that the CPcGAN can obtain higher prediction accuracy and lower system bit error rate than the existing methods under the same user speeds.

关键词： channel prediction time-varying channel conditional generative adversarial network multipath channel deep learning

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CMSDPP: Cloud-native Multi-source Streaming Data Processing Platform 23

CMSDPP: Cloud-native Multi-source Streaming Data Processing ...

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6th International Conference on Software Engineering and Information Management, ICSIM 2023

作者： Du, Haoran Wu, Yuxuan Gan, Honglu State Key Lab of Networking and Switching Technology Beijing University of Post and Telecommunications China

ISBN: (纸本)9781450398237

As the digital transition process of enterprises continues to advance, streaming data processing platforms are becoming the most important part of the enterprise data infrastructure. Meanwhile, cloud-native, an emerging service pattern of cloud computing, gains more and more attention for its ability to reduce the cost of application deployment and maintenance and enhance the effectiveness. In this paper, we design and implement a Cloud-native Multi-source Streaming Data Processing Platform (CMSDPP). It provides various capabilities, such as data access, data aggregation, data analysis and other data processing capabilities, for streaming data processing platform on cloud environment. Besides, we provide a unified registry of data processing components to realize the management of various streaming data processing capabilities. Relying on the extensibility and flexibility of cloud, convenient deployment and management of data application are provided in CMSDPP. © 2023 ACM.

关键词： Streaming Data Multi-Source Data Data Processing Cloud Native

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