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检索条件"机构=Key Laboratory of Network System Architecture"

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Precise Timing Based on Software-Defined Time-Sensitive networking in Smart City

Precise Timing Based on Software-Defined Time-Sensitive Netw...

引用

IEEE International Conference on Communications in China (ICCC)

作者： Mufeng Zhang Guochu Shou Hongxing Li Yaqiong Liu Yihong Hu Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Communications Beijing China

ISBN: (数字)9798350378412

ISBN: (纸本)9798350378429

Smart city infrastructure, as entities with multisensory perception and heterogeneous data fusion, presents new temporal challenges. With the increasing reliance on applications such as Cyber-Physical systems (CPS) for real-time interaction, high-frequency financial transactions, data centers, digital twins, augmented reality, and the metaverse, there is a critical need for data with accurate timestamps. This paper proposes a precise timing scheme based on Software-Defined Time-Sensitive networking (SD-TSN), utilizing a paradigm combining SDN and TSN to address unified control and management of data timestamping across diverse smart city scenarios. By employing software timestamping at time-sensitive nodes, sub-millisecond precision is achieved, while hardware timestamping achieves sub-microsecond precision. Leveraging standardized TSN networks economically and effectively fulfills the timing precision requirements for data timing needs in different scenarios.

关键词： Accuracy Smart cities Metaverse Diversity reception Data integration Software Hardware

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Sum-Rate Maximization for Active RIS-Aided Downlink RSMA system

Sum-Rate Maximization for Active RIS-Aided Downlink RSMA Sys...

引用

2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023

作者： Li, Xinhao Wang, Tao Tong, Haonan Yang, Zhaohui Mao, Yijie Yin, Changchuan Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence Beijing China College of Information Science and Electronic Engineering Zhejiang University Hangzhou China School of Information Science and Technology ShanghaiTech University Shanghai China

ISBN: (纸本)9781665494274

In this paper, the problem of sum-rate maximization for an active reconfigurable intelligent surface (RIS) assisted downlink rate-splitting multiple access (RSMA) transmission system is studied. In the considered model, the active RIS is deployed to overcome severe power attenuation, which is caused by the cumulative product of RIS incidence path loss and the reflection path loss. Since the active RIS can adjust both the phase and the amplitude of the incident signal simultaneously, the RIS control scheme requires delicate design to improve RSMA communication performance. To address this issue, a sum-rate maximization problem is formulated to jointly optimize the beamforming vectors, rate allocation vector, and RIS precoding matrix. To solve this non-convex sum-rate maximization problem, an iterative algorithm based on fractional programming (FP) and quadratic constraint quadratic programming (QCQP) is proposed. In particular, the proposed algorithm firstly decomposes the original problem into two subproblems, namely, 1) beamforming and rate allocation optimization and 2) active RIS precoding optimization. The corresponding variables of the two subproblems are optimized through sequential convex approximation (SCA) and block coordinate descent (BCD), respectively. Numerical results show that the proposed active RIS-aided RSMA system could increase the sum-rate by up to 45% over the conventional passive RIS-aided RSMA system with the same energy consumption. © 2023 IEEE.

关键词： Iterative methods

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Sparsely Deployed Bluetooth and Magnetic Fusion Positioning for Large Underground Parking Lots

Sparsely Deployed Bluetooth and Magnetic Fusion Positioning ...

引用

2025 IEEE Wireless Communications and networking Conference, WCNC 2025

作者： Luo, Ziwen Zheng, Yihong Zhou, Shuya Wang, Shumin Chu, Xinghe Wang, Luhan Lu, Zhaoming Beijing Key Laboratory of Network System Architecture and Convergence Beijing China Beijing Laboratory of Advanced Information Networks Beijing China Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9798350368369

The global navigation satellite system (GNSS) fails in indoor environments, leading to a growing demand for indoor positioning, ranging from above-ground buildings to under-ground parking lots. Existing indoor positioning technologies face challenges balancing low cost, low latency, and high accuracy, particularly in large underground parking lots (LUPLs). This paper proposes a sparsely deployed Bluetooth and magnetic (SBM) fusion positioning system for LUPL scenarios. Specifically, the spatial characteristics of the received signal strength indicator (RSSI) from sparsely deployed Bluetooth and the magnetic field strength are analyzed. Static and dynamic algorithms are designed for the SBM system by utilizing Bluetooth's area division and coarse positioning, combined with the high precision of magnetic field positioning. Experimental results from a real LUPL deployment demonstrate that, under a sparse beacon distribution (1 beacon per 294 m2), the proposed positioning algorithms achieve static accuracy of 1.32 m, dynamic accuracy of 0.75 m, and low latency on consumer-grade devices. © 2025 IEEE.

关键词： Global positioning system

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Sparsely Deployed Bluetooth and Magnetic Fusion Positioning for Large Underground Parking Lots

Sparsely Deployed Bluetooth and Magnetic Fusion Positioning ...

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IEEE Conference on Wireless Communications and networking

作者： Ziwen Luo Yihong Zheng Shuya Zhou Shumin Wang Xinghe Chu Luhan Wang Zhaoming Lu Beijing Key Laboratory of Network System Architecture and Convergence Beijing China Beijing Laboratory of Advanced Information Networks Beijing China Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

The global navigation satellite system (GNSS) fails in indoor environments, leading to a growing demand for indoor positioning, ranging from above-ground buildings to under-ground parking lots. Existing indoor positioning technologies face challenges balancing low cost, low latency, and high accuracy, particularly in large underground parking lots (LUPLs). This paper proposes a sparsely deployed Bluetooth and magnetic (SBM) fusion positioning system for LUPL scenarios. Specifically, the spatial characteristics of the received signal strength indicator (RSSI) from sparsely deployed Bluetooth and the magnetic field strength are analyzed. Static and dynamic algorithms are designed for the SBM system by utilizing Bluetooth's area division and coarse positioning, combined with the high precision of magnetic field positioning. Experimental results from a real LUPL deployment demonstrate that, under a sparse beacon distribution (1 beacon per 294 m 2 ), the proposed positioning algorithms achieve static accuracy of 1.32 m, dynamic accuracy of 0.75 m, and low latency on consumer-grade devices.

关键词： Global navigation satellite system Bluetooth Accuracy Costs Heuristic algorithms Magnetic fields Received signal strength indicator Vehicle dynamics Low latency communication Smart phones

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Dynamic Acceleration-Aware Risk Potential Field Car-Following Model for Heterogeneous Individuals

Dynamic Acceleration-Aware Risk Potential Field Car-Followin...

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2025 IEEE Wireless Communications and networking Conference, WCNC 2025

作者： Liu, Yuchen Wang, Chengyu Shi, Zhengrui Wang, Luhan Chen, Yawen Li, Sirui Wen, Xiangming Beijing Key Laboratory of Network System Architecture and Convergence Beijing China Beijing Laboratory of Advanced Information Networks Beijing China Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9798350368369

In the developing phase of connected autonomous driving, roads are populated with heterogeneous individuals, i.e., connected and unconnected vehicles, autonomous driving and human driving, resulting in intricate interactions and significant uncertainty in their motion trajectories. At present, the research of modeling under mixed traffic scenarios has the following challenges: 1) Traditional path planning ignores dynamic risks from the third-order vehicle state, i.e., acceleration;2) Existing microscopic models lack the descriptions for the diverse decision-making patterns among heterogeneous individuals, which increases the uncertainty and complexity of the scene. In this paper, we propose a novel Risk Potential Field car-Following Model (RPFFM) tailored for heterogeneous individuals. It employs differentiated parameter adjustments, integrating forward propulsion with potential field repulsion to calculate vehicle acceleration. RPFFM achieves proactive and safe car-following by perceiving the change of dynamic obstacle acceleration through dynamic factors and converting it into the variation of the dynamic potential field. Experimental results based on the Next Generation Simulation (NGSIM) dataset demonstrate that the RPFFM surpasses both the Intelligent Driver Model (IDM) and Optimal Velocity Model (OVM) in terms of effectiveness, safety, and providing enhanced car-following comfort. © 2025 IEEE.

关键词： Automobile driver simulators

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A UCA-Based Orbital Angular Momentum Solution for Integrated Sensing and Communication systems

A UCA-Based Orbital Angular Momentum Solution for Integrated...

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IEEE Conference on Wireless Communications and networking

作者： Yihong Zheng Shumin Wang Xinghe Chu Wei Zheng Zhiqun Hu Zhaoming Lu Beijing Key Laboratory of Network System Architecture and Convergence Beijing China Beijing University of Posts and Telecommunications Beijing China Beijing Laboratory of Advanced Information Networks Beijing China

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

In the sixth generation (6G) Internet of Things (IoT), integrated sensing and communication (ISAC) emerges as a key technology, which is expected to significantly enhance the perception capabilities and spectrum efficiency of base stations (BSs). It holds potential for applications in unmanned aerial vehicle (UAV) monitoring, vehicle positioning, and crowd detection. However, developing an integrated waveform that efficiently conserves spectrum resources while maintaining lower complexity remains challenging. This paper designs an ISAC system that utilizes orbital angular momentum (OAM) waves generated by a uniform circular array (UCA), which enhances communication and sensing capabilities by allocating distinct modes. This paper proposes a multimode multiplexing communication scheme based on a single UCA and an OAM-circular reception method (OAM-CRM) for the two-dimensional direction-of-arrival (DOA) estimation of targets, encompassing both azimuth and elevation angles. Additionally, an OAM-different modes (OAMDM) algorithm is designed to optimize communication and sensing performance across various mode sets. Simulation results verify the effectiveness of the OAM ISAC system and demonstrate the superior performance of the proposed algorithms compared to conventional methods.

关键词： Multiplexing Orbital calculations Direction-of-arrival estimation Accuracy Simulation Estimation Integrated sensing and communication Approximation algorithms Autonomous aerial vehicles Internet of Things

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Dynamic Acceleration-Aware Risk Potential Field Car-Following Model for Heterogeneous Individuals

Dynamic Acceleration-Aware Risk Potential Field Car-Followin...

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IEEE Conference on Wireless Communications and networking

作者： Yuchen Liu Chengyu Wang Zhengrui Shi Luhan Wang Yawen Chen Sirui Li Xiangming Wen Beijing Key Laboratory of Network System Architecture and Convergence Beijing China Beijing Laboratory of Advanced Information Networks Beijing China Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

In the developing phase of connected autonomous driving, roads are populated with heterogeneous individuals, i.e., connected and unconnected vehicles, autonomous driving and human driving, resulting in intricate interactions and significant uncertainty in their motion trajectories. At present, the research of modeling under mixed traffic scenarios has the following challenges: 1) Traditional path planning ignores dynamic risks from the third-order vehicle state, i.e., acceleration; 2) Existing microscopic models lack the descriptions for the diverse decision-making patterns among heterogeneous individuals, which increases the uncertainty and complexity of the scene. In this paper, we propose a novel Risk Potential Field car-Following Model (RPFFM) tailored for heterogeneous individuals. It employs differentiated parameter adjustments, integrating forward propulsion with potential field repulsion to calculate vehicle acceleration. RPFFM achieves proactive and safe car-following by perceiving the change of dynamic obstacle acceleration through dynamic factors and converting it into the variation of the dynamic potential field. Experimental results based on the Next Generation Simulation (NGSIM) dataset demonstrate that the RPFFM surpasses both the Intelligent Driver Model (IDM) and Optimal Velocity Model (OVM) in terms of effectiveness, safety, and providing enhanced car-following comfort.

关键词： Adaptation models Uncertainty Microscopy Propulsion Road safety Safety Trajectory Vehicle dynamics Autonomous vehicles Vehicles

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One-Dimensional Bilateration Localization Algorithm Based on Indoor Distributed Antenna systems

One-Dimensional Bilateration Localization Algorithm Based on...

引用

IEEE Conference on Wireless Communications and networking

作者： Ruoqian Hu Xinghe Chu Zhaoming Lu Luhan Wang Beijing University of Posts and Telecommunications Beijing China Beijing Laboratory of Advanced Information Networks Beijing China Beijing Key Laboratory of Network System Architecture and Convergence Beijing China

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

Indoor spaces have already been accounted for a significant proportion of people's lives, and with the advent of the fifth-generation mobile communication technology (5G) era and the rise of the Internet of Things (IoT), the demand for indoor localization is further increasing. Current solutions for indoor positioning, such as Bluetooth, Wi-Fi, ultra-wideband (UWB), and pseudo-satellite technologies, have faced issues in terms of cost, accuracy, and scalability during the promotion and application process. In this regard, distributed antenna systems (DAS) have an absolute advantage in terms of indoor coverage for communication, which shows enormous potential for fusion with current indoor positioning technologies. This paper proposed a universal one-dimensional localization algorithm fusing UWB technology with the indoor DAS system, aimed at narrow indoor environments such as corridors and cable tunnels, which can achieve high-precision localization as evaluated in a real scenario of an indoor corridor in the Beijing University of Posts and Telecommunications (BUPT). Additionally, our algorithm requires only two anchors, effectively reducing positioning costs while improving accuracy. The results indicate that this localization technique effectively meets the requirements defined for indoor scenarios in 3GPP 38.855, with an error of decimeter level.

关键词： Location awareness Costs Accuracy Scalability Ultra wideband antennas Telecommunications Internet of Things 3GPP Wireless fidelity Antenna arrays

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Research on Performance Enhancement of OAM system Based on Adaptive Beam Steering Approach

Research on Performance Enhancement of OAM System Based on A...

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International Conference on Microwave and Millimeter Wave Technology Proceedings

作者： Lijin Wang Yu Sun Weijun Hong Beijing Laboratory of Advanced Information Network Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China The Radio Monitoring Station of Heilongjiang Province Heilongjiang China

ISBN: (数字)9798350389968

ISBN: (纸本)9798350389975

The communication based on orbital angular momentum (OAM) can solve the problem of the shortage of spectrum resources caused by the increase of multimedia transmission demand. However, the non-alignment of the OAM antenna will lead to the serious deterioration of system performance. Currently, the performance research of the unaligned OAM system mainly focuses on simulation studies and lacks investigation in actual transmission scenarios. In this paper, a OAM communication testing bed based on software radio (SDR) is designed. To tackle the performance degradation issue caused by non-alignment, we implement a beam steering approach on the experimental setting for the first time. The experimental results demonstrate that the proposed algorithm achieved significant improvement in the system's performance. Specifically, the transmission packet loss rate decreases from 99.9% to 1.7% when the tilt angle is 25°.

关键词： Degradation Beam steering system performance Transmitting antennas Software algorithms Receiving antennas Adaptive arrays

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A UCA-Based Orbital Angular Momentum Solution for Integrated Sensing and Communication systems

A UCA-Based Orbital Angular Momentum Solution for Integrated...

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2025 IEEE Wireless Communications and networking Conference, WCNC 2025

作者： Zheng, Yihong Wang, Shumin Chu, Xinghe Zheng, Wei Hu, Zhiqun Lu, Zhaoming Beijing Key Laboratory of Network System Architecture and Convergence Beijing China Beijing Laboratory of Advanced Information Networks Beijing China Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9798350368369

关键词： Target drones

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