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检索条件"机构=Beijing Key Laboratory for Network System Architecture and Convergence"

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Joint Optimization of Age of Information and Energy Consumption in UAV Trajectory Planning 24

Joint Optimization of Age of Information and Energy Consumpt...

引用

24th IEEE International Conference on Communication Technology, ICCT 2024

作者： Jiao, Yang Wu, Muqing Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing100876 China

ISBN: (数字)9798350363760

ISBN: (纸本)9798350363760

With the advancement of technology, the application of unmanned aerial vehicles (UAVs) in emergency communications and disaster response have received widespread attention, especially in emergency situations such as natural disasters where traditional communication cannot transmit information in a timely and effective manner. This paper investigates the auxiliary communication of UAVs to ground equipment in disaster response scenarios, focusing particularly on the problem of optimizing UAV trajectories to minimize the Age of Information (AoI). We propose a multi-agent control trajectory and communication algorithm (MACTC) to improve learning efficiency and performance, addressing the dual challenges of information timeliness and energy consumption in drone networks. The study demonstrates that optimizing UAV service allocation and trajectory design can significantly reduce the AoI and save energy. Simulation results show that, compared to existing algorithms, MACTC offers significant advantages in reducing AoI and energy consumption, providing an effective solution for UAV network performance optimization. © 2024 IEEE.

关键词： Antennas

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WiFineTrack: Enabling Fine-Grained Position Tracking Using Commodity WiFi 35

WiFineTrack: Enabling Fine-Grained Position Tracking Using C...

引用

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

作者： Jiang, Gaolong Han, Zijun Lu, Zhaoming Wen, Xiangming Jiang, Jiawei Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence Beijing Laboratory of Advanced Information Networks Beijing100876 China

ISBN: (纸本)9798350362244

With the development of integrated sensing, communication and computation (ISCC), wireless sensing technology is turning a WiFi device into a special sensor. Specifically, the current research focuses on extending the inherent communication attributes of ubiquitous WiFi signals to achieve indoor position tracking. However, previous works based on geometric positioning like triangulation are limited by the number of antennas and bandwidth, and can only achieve decimeter-level positioning accuracy. To this end, we present WiFineTrack, enabling fine-grained position tracking based on Channel State Information (CSI). Instead of representing the continuous absolute positions directly, WiFineTrack first characterizes the relative motion traces by mapping the target's movements in relation to its prior position. Then the model correlates the angle-based triangulation with the derived relative motion traces to reconstruct the absolute motion traces. Thus, the model shifts the tracking task from traditional absolute geometry to relative length variation. WiFineTrack designs an elaborate denoising framework for tracking refinement, including phase correcting based on the bidirectional transmission mechanism and accumulated error suppression based on the Extended Kalman Filter (EKF). We implement WiFineTrack using off-the-shelf WiFi devices, and empirical results show that WiFineTrack can achieve an accuracy of 10.45 cm under diverse environment conditions. © 2024 IEEE.

关键词： Triangulation

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Swarm Intelligence Joint Optimization Algorithm for Wireless Sensor networks 9

Swarm Intelligence Joint Optimization Algorithm for Wireless...

引用

9th International Conference on Computer and Communications, ICCC 2023

作者： Zhang, Zhiwei Wu, Muqing Beijing Key Laboratory of Network System Architecture and Convergence Beijing Laboratory of Advanced Information Networks Beijing China

ISBN: (纸本)9798350317251

Wireless sensor networks consist of a large number of sensor nodes with limited energy. Because wireless sensor networks are mainly deployed in complex environments, it is difficult to charge or replace nodes. Therefore, the main concern of wireless sensor networks is the effective use of node energy. In this study, we propose a joint optimization algorithm based on the characteristics of Grey Wolf optimization algorithm, butterfly algorithm and ant colony algorithm. The algorithm uses the distance to the base station and the remaining energy to select the appropriate cluster head and the best data forwarding path. The simulation results show that the algorithm is superior to LEACH algorithm, grey wolf optimization algorithm and particle swarm optimization algorithm in network lifetime and residual energy. © 2023 IEEE.

关键词： Swarm intelligence

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Clock Drift and Time Error Compensation with Neural network for Time Synchronization in TSN 7

Clock Drift and Time Error Compensation with Neural Network ...

引用

7th IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2024

作者： Yang, Yiheng Yao, Chenlong Shou, Guochu Liu, Yaqiong Li, Zhifu Li, Hongxing Hu, Yihong Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing China

ISBN: (纸本)9798350339161

TSN implements time synchronization through IEEE 802.1AS protocol, and the performance of time synchronization is related to the frequency accuracy and stability of each TSN clock. However, the problems of clock drift and timestamp granularity error (TSGE) will degrade the network time synchronization performance. This paper analyzes the causes of time errors caused by network time synchronization, and puts forward the overall scheme to improve the performance of time synchronization. An intelligent compensation algorithm for clock drift is designed, which includes measuring node clock correlation data, training neural network, using neural network to make prediction and compensating time stamp. Experimental results show that the proposed algorithm is stable and accurate in time synchronization. © 2024 IEEE.

关键词： Error compensation

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A Low-Latency Routing Scheme with Traffic Balancing for LEO Satellite networks 15

A Low-Latency Routing Scheme with Traffic Balancing for LEO ...

引用

15th IEEE International Conference on Wireless Communications and Signal Processing, WCSP 2023

作者： Yu, Xinhai Liu, Danpu Zhang, Zhilong Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Network Beijing Key Laboratory of Network System Architecture and Convergence China

ISBN: (纸本)9798350324662

Low Earth Orbit (LEO) satellites play an important role in satellite networks owing to low-cost, low round-trip delay and high data rate. However, the rapid change of constellation topology makes routing an intractable problem. In a scenario where LEO satellite network serves communication between ground stations (GSs), we adopt virtual topology to shield the dynamics and develop an approach of unipath routing with aim to minimize the total latency of all packets. Inspired by queuing theory, we propose a new routing metric that jointly considers propagation, transmission and queuing latency, which is helpful for traffic distribution awareness and balancing. In addition, Routing Algorithm with Queuing Metric (RAQM) is proposed to calculate the route. Moreover, we have contributed to clarifying the routing latency of packets in detail and quantifying the ability of the constellation to support the traffic load. The simulation results show that the proposed scheme has advantages especially under the condition of heavy traffic load as it can effectively reduce queuing time and end-to-end latency. Furthermore, the proposed scheme can support up to 115% more traffic and avoid network congestion effectively when compared to the selected benchmarks. © 2023 IEEE.

关键词： latency Low Earth Orbit (LEO) satellites queuing theory routing satellite communications traffic

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Deadline-Aware Hybrid HARQ Scheme for Multi-devices Deterministic Transmission over 5G-TSN systems 15

Deadline-Aware Hybrid HARQ Scheme for Multi-devices Determin...

引用

15th IEEE International Conference on Wireless Communications and Signal Processing, WCSP 2023

作者： Zhao, Jian Wang, Tao Tong, Haonan He, Xinxin Yin, Changchuan Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Network Beijing Key Laboratory of Network System Architecture and Convergence China

ISBN: (纸本)9798350324662

This paper studies a deadline-aware hybrid retransmission scheme for an Industrial Internet of Things (IIoT) system over the 5th generation and Time-Sensitive networking (5G-TSN) system. In the considered model, multiple devices must transmit time-sensitive data flows to an edge server for real-time computing and industrial control. These scenarios require the 5G-TSN technique to realize deterministic transmission, which must complete the data transmission before the specified deadline while maintaining ultra-high reliability. Since the uncertainty of the wireless channel in 5G-TSN affects the transmission reliability, hybrid automatic repeat request (HARQ) technology is introduced to improve the transmission success probability. However, two existing mainstream HARQ negative acknowledgment-based (NACK-based) and blind schemes lead to a huge delay penalty and drain spectrum resources, respectively. These drawbacks make it challenging to meet multiple devices' diverse quality of service (QoS) requirements. To address this issue, a deadline-aware hybrid HARQ scheme that combines NACK and blind retransmission schemes is proposed to maximize the number of successfully transmitted deterministic data flows over the 5G-TSN. Specifically, we first propose the delay and reliability models for our considered 5G-TSN IIoT system. Subsequently, our proposed scheme is introduced in detail. The simulation results demonstrate that the proposed scheme can increase the number of deterministic transmission flows by 170.52% and 27.98% with 100 devices compared to 1) single NACK-based and 2) traditional hybrid HARQ schemes. © 2023 IEEE.

关键词： deterministic transmission hybrid automatic repeat request Industrial Internet of Things Time-Sensitive networking

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Precise Timing over Beyond 5G networks for Intelligent Transport in the Smart City 35

Precise Timing over Beyond 5G Networks for Intelligent Trans...

引用

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

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

ISBN: (纸本)9798350362244

The need for precise timing is increasing with the development of the smart city, and intelligent transport is a key application that often relies on the distribution of accurate timing. Existing time synchronization solutions cannot adequately meet the precise timing needs for practical applications in intelligent transportation. Global Navigation Satellite systems (GNSS) signals, for instance, can be obstructed, weakened, or deflected in urban canyon environments. While certain sectors like telecommunications and smart grids have successfully adopted IEEE 1588 for high-precision time synchronization, its dependence on standalone networks and limited application within local area networks poses challenges when catering to the wide-ranging and mobile demands of intelligent transportation applications. This paper categorizes the time synchronization requirements of intelligent transport and proposes a time synchronization scheme over converged networks, which separates time transmission and precision compensation based on software-defined networking (SDN) principles, and makes it possible to provide precise timing for intelligent transport devices, including on-board units (OBUs) and roadside units (RSUs), over wired and wireless communication networks. Experimental results indicate that the proposed scheme achieves a relative time error of less than 1.2 microseconds over the converged networks. © 2024 IEEE.

关键词： 5G mobile communication systems

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Radio Simultaneous Localization and Mapping with Moving Object Tracking in Dynamic Environments 35

Radio Simultaneous Localization and Mapping with Moving Obje...

引用

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

作者： Lv, Xue Xiang, Wan Chen, Yawen Lu, Zhaoming 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)9798350362244

Generation (5G) mobile communication provides high-resolution measurements of delays and angles, which make radio simultaneous localization and mapping (SLAM) a possibility. Current radio SLAM systems focus on static environments. However, moving objects may degrade the performance of SLAM systems. In this paper, we propose an integrated radio SLAM and moving object tracking scheme for dynamic environments. Specifically, we first use a grid-based object detection method to detect and filter out measurements belonging to the multipath components (MPCs) of moving objects for accurate radio SLAM. After obtaining the precise vehicle position via SLAM, a curve fitting method is used to track and predict the trajectories of the moving objects, and the prediction results will help in the detection of the object at the next moment. Finally, simulation results demonstrate the performance of the proposed scheme. © 2024 IEEE.

关键词： 5G mobile communication systems

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Hybrid Beamforming Design for Wideband Near-Field ISAC with Delay Alignment Modulation 16

Hybrid Beamforming Design for Wideband Near-Field ISAC with ...

引用

16th International Conference on Wireless Communications and Signal Processing, WCSP 2024

作者： Zhang, Xuanrui Xiang, Wan Chen, Yawen Zheng, Wei Lu, Zhaoming 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)9798350390643

This paper studies a multi-user integrated sensing and communication (ISAC) system with delay alignment modulation (DAM) in the near-field. We aim to optimize multi-path hybrid beamforming so as to maximize the signal-to-noise ratio (SNR) of the target echo while ensuring communication users' signal-to-interference plus-noise ratio (SINR) requirements and transmit power budget. To this end, we propose an alternating optimization algorithm using successive convex approximation (SCA) technology, penalty convex-concave procedure (PCCP) and second-order cone programming (SOCP). Simulation results demonstrate the effectiveness of the proposed algorithm and show the impact of channel model mismatch and the distance dimension introduced by the near-field model on the near-field DAM-ISAC system. © 2024 IEEE.

关键词： Signal to noise ratio

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FLIT: Multidimensional Data Fusion Localization system Based on Vision Transformer in Single Base Station Mode 35

FLIT: Multidimensional Data Fusion Localization System Based...

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

作者： Du, Jingyi Wang, Luhan Lu, Zhaoming Niu, Haiwen Wen, Xiangming 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: (纸本)9798350362244

With the rapid development of 5th Generation Mobile Communication Technology (5G), the increased bandwidth not only bolsters communication efficiency but also paves the way for high-precision location-based services within these industrial applications. Positioning by using a single base station (BS) possesses potential vital values in scenarios that multiple BSs are not applicable, such as unmanned aerial vehicle assisted emergency communication scenarios, dynamic and temporary industrial 5G scenarios, etc. However, due to a lack of observed measurements from different base stations, the high accurate and stable positioning by using a single BS faces challenges. To address this problem, this paper introduces a novel approach utilizing the open-source 5G platform OpenAirInterface (OAI) to design application programming interfaces (APIs) for accessing low layer data. By extracting data directly from actual protocol stacks, we have developed a multidimensional data fusion localization system based on Vision Transformer (ViT) in a single-BS mode named FLIT. Conducted within an office setting, our experiments spanned a 100MHz bandwidth, culminating in a system capable of achieving an average positioning error of just 6.9cm, with 90% of measurements within a 9cm error margin and 80% within 5.3cm, thus attaining centimeter-level accuracy in positioning. © 2024 IEEE.

关键词： Bandwidth

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