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10th IEEE Smart World Congress, SWC 2024

作者： Feng, Shaowei Li, Zheng Zheng, Mengmeng Yang, Yang Wang, Xin Guo, Caili Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks Beijing100876 China China Telecom Digital Intelligence Technology Co. Ltd Beijing100089 China Capital Medical University Beijing Friendship Hospital Department of Urology Beijing100050 China Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence Beijing100876 China

ISBN: (纸本)9798331520861

Manual delineation of the kidney region in CT scans is a laborious process. Although existing models have achieved remarkable success in the realm of automated segmentation, they still encounter challenges in effectively modeling both the global and local information. To address this, we introduce Edge-Mix enhanced Mamba (EM-Mamba) for kidney segmentation, which is designed to capture global and local information from multi-scales. EM-Mamba leverages SegMamba as its backbone, utilizing Mamba's efficiency in extracting long-range dependencies. To further enhance the model's integration of local and global information, we introduce the Edge-Mix module, which captures edge information from the shallow layers of the network during the encoding phase and merges it with multi-scale features during the decoding phase. Additionally, a Multi-Scale Convolution (MSC) module is designed to enhance the capability of extracting effective information from 3D medical images, achieving a fusion of rich local and global information across multiple scales. The innovation of the EM-Mamba model lies in its integration of detailed and global information, as well as its robust feature extraction ability in 3D medical image analysis, offering a new solution for precise kidney segmentation. The experimental results show that our framework achieving a Dice score of 9 1. 9 5 % on the KiTS21 dataset and 86.35 % Dice score on our proprietary dataset called Kidney Parenchyma Segmentation (KPS). © 2024 IEEE.

关键词： Edge-Mix Mamba Medical image segmentation Total Kidney Volume

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Towards Expanding Precise Timing for Collaborative Its with Deterministic Communications in 6G

Towards Expanding Precise Timing for Collaborative Its with ...

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IEEE Conference on Wireless Communications and networking

作者： Hongxing Li Haotian Li Qianhan Gao Guochu Shou Yaqiong Liu Zhigang Guo Yihong Hu State Key Laboratory of Networking and Switching Technology School of Computer Science (National Pilot Software Engineering School) Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

The demand for precise timing continues to grow with the rapid development of smart cities, where intelligent transportation emerges as a critical application heavily dependent on accurate time distribution. Deterministic communication is anticipated to be a defining feature of nextgeneration mobile networks (6G), enabling end-to-end timecritical applications, and unlocking new possibilities for achieving end-to-end precise time synchronization as well. To cope with the challenge of delivering precise time synchronization across broader areas at a lower cost, this paper proposes a method to achieve end-to-end precise time synchronization by leveraging the deterministic characteristics of communication networks. Specially, the proposed approach adopts the Software-Defined networking (SDN) paradigm to implement deterministic networking for the seamless integration of Time-Sensitive networking (TSN) and cellular networks. Furthermore, to mitigate the impact of wireless channel uncertainties on synchronization accuracy, we propose a network delay measurement mechanism based on the principle of time redundancy, designed to reduce end-to-end network delay variation. Experimental results validate the effectiveness of the proposed method, demonstrating its capability to constrain the end-to-end relative time error of wired and wireless converged networks to the microsecond scale, without necessitating modifications to the existing network infrastructure.

关键词： 6G mobile communication Wireless communication Cellular networks Uncertainty Accuracy Measurement uncertainty Transportation Delays Synchronization Software defined networking

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Location-Based Multi-site Coordination Beam Tracking for Vehicle mmWave Communications 15th

Location-Based Multi-site Coordination Beam Tracking for Veh...

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15th EAI International Conference on Communications and networking, ChinaCom 2020

作者： He, Xingwen Liu, Danpu Zhang, Zhilong Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9783030677190

Millimeter wave (mmWave) system with massive multiple input multiple output (mMIMO) meets increasing data traffic requirements. However, fast beam tracking for vehicles with high mobility causes enormous overhead, especially in an ultra-dense network (UDN) with frequently base station (BS) handover. In this paper, we proposed a multi-site coordination beam tracking scheme utilizing the spatial correlation of channel state information (CSI) among different sites to reduce the signaling overhead for beam training and handover. The scenario is a hyper-cellular network (HCN) with one control-BS (CBS) and multiple traffic-BSs (TBSs). The proposed scheme consists of two stages. In the first stage, more accurate position measurement of the moving user equipment (UE) can be achieved by using uniform planar array (UPA), and Extended Kalman Filter (EKF) is exploited in CBS to predict the UE’s location in the next slot. In the second stage, the relationship between multi-site and UE’s location is used by the CBS to remotely infer the candidate beam between each TBS and the UE, and make a TBS handover decision when necessary. Given that it is the CBS in charge of beam tracking between all the TBSs and the UE centrally, the overhead for beam training and handover are both efficiently reduced. Simulation results based on realistic 3D scenario show that the proposed scheme can achieve 99% of the optimal spectral efficiency with fewer overhead for beam sweeping and handover signaling. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Extended Kalman filters

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Reliability and Latency of MmWave Communications Based on Blockage Avoidance in Internet of Vehicles 13

Reliability and Latency of MmWave Communications Based on Bl...

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13th International Conference on Wireless Communications and Signal Processing, WCSP 2021

作者： Cao, Yongxu He, Xinxin Yu, Congqing Yin, Changchuan Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing100876 China

ISBN: (纸本)9781665407854

The millimeter wave(mmWave) communication is a viable approach to support the Gbps data rates that would be required for raw sensor data exchange among autonomous vehicles. However, there is a main challenges resulting from the use of high-frequency bands: the mmWave blockage effect. In this paper, we propose a blockage avoidance based mmWave relay scheme for the Internet of Vehicles. Specifically, we first propose a mmWave link availability identification method based on the vehicle geometric relationship and the spatial correlation between sub-6 GHz signals and mmWave signals. Secondly, in order to improve the reliability of all vehicle sensor data transmission and reduce the overall transmission delay, a resource allocation scheme based on the real-time blocking relationship graph among multilane vehicles is proposed. The simulation show that compared with the baseline, the packet loss rate of proposed scheme is increased by 20%, and the transmission delay is reduced by 80%, which can realize stable, reliable and efficient transmission. © 2021 IEEE.

关键词： Millimeter waves

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Spatial-Temporal Alignment via Optimal Transport for Video-Text Retrieval

Spatial-Temporal Alignment via Optimal Transport for Video-T...

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2022 IEEE International Conference on Multimedia and Expo, ICME 2022

作者： Feng, Zerun Zeng, Zhimin Guo, Caili Li, Zheng Zhang, Yufeng School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence Beijing China Beijing Laboratory of Advanced Information Networks Beijing China China Telecom Dict Application Capability Center China

ISBN: (数字)9781665485630

ISBN: (纸本)9781665485630

Video-text retrieval is one of the most popular branches in the cross-modal research area facing the exponential growth of multimedia services. Present methods typically mea-sure cross-modal similarities only by the cosine metric in a common space. However, this function ignores the in-herent discrepancy between videos and texts for reflecting spatial-temporal contents and fails to align them under the weakly supervised setting. To address this issue, we propose a novel Spatial-Temporal Optimal Transport (STOT) frame-work building upon advances in optimal transport. The spatial and temporal characteristics of videos and texts are carefully considered in STOT and associated by calculating a spatial-temporal alignment distance, which can be implemented as a regularizer for existing models to improve retrieval accu-racy. Extensive experiments are conducted on two video-text datasets with two models as base architectures to demonstrate the outperformance of our framework due to the powerful spatial-temporal alignment capability. © 2022 IEEE.

关键词： Multimedia services

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Accurate Positioning with Single Vision Beacon: A Spatial Geometry Based Algorithm 15

Accurate Positioning with Single Vision Beacon: A Spatial Ge...

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

作者： Yang, Boyu Yang, Yang Guo, Caili Zhu, Zhiyu Wang, Xuefei Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing100876 China Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing100876 China China Spacesat Co. Ltd Beijing100876 China

ISBN: (纸本)9798350324662

This paper proposes a visual positioning algorithm based on feature points and triangular structures on a quick response code (V-FTQ), which can achieve precise position and orientation estimation using only a monocular camera and a single quick response (QR) code beacon. In the considered system, a few QR codes are placed on the ceiling, and a user holds a camera in hand to capture one QR code for positioning. In particular, we first propose an efficient matching mechanism to match the feature points of the captured QR beacon to their projections in the image plane of the camera. Then, based on the geometry relations between the feature points and their projections, V-FTQ is able to calculate the coordinates of the feature points in the camera coordinate. Next, the pose and position of the user are estimated based on linear algebra and spatial geometry. Finally, a singular solution elimination scheme is further proposed to effectively eliminate incorrect solutions estimated by V-FTQ, remaining correct pose and position. The simulation results demonstrate that V-FTQ outperforms similar algorithms in terms of precision and robustness to noise. © 2023 IEEE.

关键词： beacon camera Visual positioning

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Bald eagle search algorithm for solving a three-dimensional path planning problem

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Mathematical Biosciences and Engineering 2024年第2期21卷 2856-2878页

作者： Zhang, Yunhui Zhou, Yongquan Chen, Shuangxi Xiao, Wenhong Wu, Mingyu School of Internet Jiaxing Vocational and Technical College Jiaxing314036 China College of Artificial Intelligence Guangxi University for Nationalities Nanning530006 China Xiangsihu College of Guangxi University for Nationalities Nanning532100 China Guangxi Key Laboratories of Hybrid Computation and IC Design Analysis Nanning530006 China Institute of System Architecture and Network Security Zhejiang University Hangzhou310058 China Jiaxing Key Laboratory of Industrial Internet Security Jiaxing Vocational and Technical College Jiaxing314036 China Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru81310 Malaysia

Three-dimensional path planning refers to determining an optimal path in a three-dimensional space with obstacles, so that the path is as close to the target location as possible, while meeting some other constraints, including distance, altitude, threat area, flight time, energy consumption, and so on. Although the bald eagle search algorithm has the characteristics of simplicity, few control parameters, and strong global search capabilities, it has not yet been applied to complex three-dimensional path planning problems. In order to broaden the application scenarios and scope of the algorithm and solve the path planning problem in three-dimensional space, we present a study where five three-dimensional geographical environments are simulated to represent real-life unmanned aerial vehicles flying scenarios. These maps effectively test the algorithm’s ability to handle various terrains, including extreme environments. The experimental results have verified the excellent performance of the BES algorithm, which can quickly, stably, and effectively solve complex three-dimensional path planning problems, making it highly competitive in this field. ©2024 the Author(s), licensee AIMS Press.

关键词： Motion planning

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Time Error Compensation with Neural network for Time Synchronization in TSN 7

Time Error Compensation with Neural Network for Time Synchro...

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7th International Conference on Computer and Communications, ICCC 2021

作者： Yu, Haoze Shou, Guochu Zhang, Xiaodong Hu, Ledong Liu, Yaqiong Hu, Yihong Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781665409506

Time-sensitive networking featured with precise time synchronization, is significant in modern industrial systems for real-time guarantee. However, some industrial scenarios, such as smart grids and 5G fronthaul networks, have much higher requirements on time synchronization. This paper proposes a method to improve the synchronization performance of TSN with a neural network model. A time error compensation algorithm including timestamp data processing, neural network training, and error compensation is designed. Comparative experiment results show that this algorithm improves the stability and accuracy of time synchronization. © 2021 IEEE.

关键词： Synchronization

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Large Scale Model Enabled Semantic Communications Based on Robust Knowledge Distillation

Large Scale Model Enabled Semantic Communications Based on R...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Ding, Kuiyuan Liu, Fangfang Yang, Yang Chen, Mingzhe Guo, Caili Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing100876 China University of Miami Department of Electrical and Computer Engineering The Institute for Data Science and Computing Coral GablesFL33146 United States Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing100876 China

ISBN: (纸本)9798350351255

Large scale artificial intelligence (AI) models possess excellent capabilities in semantic representation and understanding, making them particularly well-suited for semantic encoding and decoding. However, the substantial scale of these AI models imposes unacceptable computational resources and communication delays. To address this issue, we propose a semantic communication scheme based on robust knowledge distillation (RKD-SC) for large scale model enabled semantic communications. In the considered system, a transmitter extracts the features of the source image for robust transmission and accurate image classification at the receiver. To effectively utilize the superior capability of large scale model while make the cost affordable, we first transfer knowledge from a large scale model to a smaller scale model to serve as the semantic encoder. Then, to enhance the robustness of the system against channel noise, we propose a channel-aware autoencoder (CAA) based on the Transformer architecture. Experimental results show that the encoder of proposed RKD-SC system can achieve over 93.3% of the performance of a large scale model while compressing 96.67% number of parameters. Code: https://***/echojayne/RKD-SC. © 2024 IEEE.

关键词： Channel coding

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Multi-domain Time Synchronization Model and Performance Evaluation in TSN 7

Multi-domain Time Synchronization Model and Performance Eval...

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7th International Conference on Computer and Communications, ICCC 2021

作者： Hu, Ledong Shou, Guochu Zhang, Xiaodong Liu, Yaqiong 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)9781665409506

Time-Sensitive networking (TSN) has precise time synchronization capabilities and can provide reliable time-deterministic services for industrial communications and other fields. IEEE 802.1AS is used as the time synchronization protocol in TSN and has support for multiple gPTP domains, which further expands the application range of TSN and enhances the synchronization capabilities of TSN. Industrial automation and other use cases also have multi-domain time synchronization requirements of TSN, but there is still a lack of research in this field. Therefore, this paper studies the multi-domain synchronization mechanism in TSN and proposes the multi-domain time synchronization model according to actual application requirements. Based on the multi-domain model, this paper analyzes the time errors in multi-domain time synchronization, introduces the SDN paradigm, and proposes a software-defined time compensation method to compensate the time errors centrally. Further, the time synchronization experiment environment is built to analyze synchronization performance. The results verify the effectiveness of the multi-domain time synchronization model, demonstrating that the multi-domain TSN network can provide high-precision time synchronization services. © 2021 IEEE.

关键词： Errors

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