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1st Conference on Blockchain and Web3.0 technology Innovation and Application, BWTAC 2024

作者： Li, Yafeng Sun, Zhijun Ma, Lichuan China CETC Key Laboratory of Technology on Data Link Xi’an710068 China State Key Laboratory of Integrated Services Networks Xidian University Xi’an710071 China Shaanxi Key Laboratory of Blockchain and Secure Computing Xi’an710071 China

ISBN: (纸本)9789819794119

In the era of big data, data privacy and security are highly valued, leading to the phenomenon of "data islands", which hinders the effective utilization of data. Federated learning, as a privacy-preserving distributed machine learning method, allows model training without sharing raw data, addressing the privacy concerns in cross-organizational data cooperation. Although federated learning protects data privacy, participants’ gradient parameters can still potentially leak sensitive information. As a result, extensive research has focused on conducting federated learning while protecting the privacy of gradient parameters and reducing the communication and computational overhead for participants. These efforts assume that each participant adheres honestly to the protocol;however, malicious submissions of incorrect gradient parameters can significantly bias the federated learning model. This paper proposes a federated learning scheme for privacy-protected gradient aggregation and poison detection that defends against malicious poisoning attacks while safeguarding data privacy, and optimizes computational and communication overheads. By employing inner product triples, the computation process is further optimized, enhancing system performance. The security of the scheme is demonstrated, and its efficiency is validated through practical tests, showing that the optimized solution significantly outperforms the basic scheme in terms of performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Federated learning

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An Efficient Direct Downlink Sensing Method Using 5G NR SSB Signals in Perceptive Mobile Networks

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IEEE Internet of Things Journal 2025年第11期12卷 15360-15369页

作者： Li, Hang Xiang, Yang Guo, Qinghua Liu, Lizhe Huang, Xiaojing Cheng, Zhiqun Pang, Yashan Hangzhou Dianzi University School of Electronics and Information Hangzhou310018 China Academy of Network and Communications of CETC National Key Laboratory of Advanced Communication Networks Hebei Shijiazhuang050081 China University of Wollongong School of Electrical Computer and Telecommunications Engineering WollongongNSW2522 Australia University of Technology Sydney Global Big Data Technologies Centre UltimoNSW2007 Australia

In perceptive mobile networks (PMNs), using 5G New Radio (NR) signals for direct sensing poses a significant challenge to practical implementation due to the high computational complexity involved in estimating sensing parameters. In this paper, an efficient sensing method is proposed to incorporate both downlink active sensing and passive sensing to estimate multiple sensing parameters, including delays, angle of arrival (AoA), angle of departure (AoD) and Doppler. In particular, it exploits the synchronization signal blocks (SSBs) to facilitate sensing with multiple remote radio units (RRUs). To reduce the computational complexity of direct sensing, a sparse model is developed to decouple multiple sensing parameter estimation, enabling efficient sensing method design. Then, leveraging unitary approximate message passing (UAMP) and sparse Bayesian learning (SBL), we propose an efficient method to achieve parameter estimation and association with corresponding RRUs. This method is further extended to general scenarios involving multiple path components with the same delay. Extensive simulations demonstrate the effectiveness of the proposed method, showing that it outperforms existing ones in terms of sensing accuracy and complexity. © 2014 IEEE.

关键词： 5G mobile communication systems

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Semantic Consensus Model and Behavioural Control Model for Visual data link 6

Semantic Consensus Model and Behavioural Control Model for V...

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6th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2023

作者： Guo, Pengju Hu, Junfeng Hui, Guobao Cetc Key Laboratory of Data Link Technology Xi'an China

ISBN: (纸本)9798350399059

The Visual data link is a new type of data link based on vision and artificial intelligence. To address the problems of information interaction, information sharing and behavioural control faced by Visual data link, this thesis proposes a semantic consensus model for Visual data link that can achieve semantic consensus among unmanned platforms and realize the information interaction and information sharing capability of Visual data link in the 'spectral domain';the semantic consensus model and behavioural control model for Visual data link proposed in this study can realize the common sense cognitive understanding and collaborative control of related information resources based on vision. Semantic consensus and behavioural control models can effectively support the development and application of Visual data link. © 2023 IEEE.

关键词： Semantics

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UAV Attitude Angle Estimation Based on Door Frame Deformation in Image 3

UAV Attitude Angle Estimation Based on Door Frame Deformatio...

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3rd IEEE International Conference on Electronic Information and Communication technology, ICEICT 2020

作者： Hui, Guobao Hu, Junfeng Zhao, Xi Cetc Key Laboratory of Data Link Technology Xian China

ISBN: (纸本)9781728190457

In this paper, we introduce a new method for calculating position angle of the barrier-wearing drone through the rectangular change in the image. This method only uses the visual deformation information of rectangular frame to calculate the angle between UAV navigation direction and door frame plane. There is a certain geometric transformation relationship between the change of view angle and the deformation of rectangle. In this paper, we infer the relationship between deformed graphic and UAV attitude under a series of assumptions. This method does not consider the distortion and rotation of rectangle, which are generally very sensitive to noise working conditions. No complicated mathematical computation is involved in the implementation and the required computational storage space is much cheaper compared to the current methods. Experiments with simulated images indicate the effectiveness of the proposed method. © 2020 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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An Interaction Framework for Multi-domain Unmanned Systems Collaboration Based on Interoperability Messages 5

An Interaction Framework for Multi-domain Unmanned Systems C...

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5th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2022

作者： Wang, Zhigang Chen, Chilian Zhang, Yongping Zhang, Kai Guo, Chubing Yuan, Yongqiong Cetc Key Laboratory of Data Link Technology Xi'an China

ISBN: (数字)9781665472111

ISBN: (纸本)9781665472111

To improve the interoperability of unmanned system and enhance the multi-domain unmanned system collaborative capacity, we propose an interaction framework based on interoperability messages, which consists of a set of message standard and the correlated interaction protocol. Combines the common information interaction requirements of unmanned system and the different specificity of unmanned aerial vehicles (UAV), unmanned surface vehicles (USV), unmanned ground vehicles (UGV), unmanned underwater vehicles (UUV) and the corresponding payloads carried by the unmanned systems, the message standard set can be divided into three main categories, each category contains several kinds of message. The interaction protocol of a message varies according to the message's type and meaning. The interaction framework will help human operator make it easier to control different kinds of multi-domain unmanned systems and make autonomous cooperative between unmanned systems possible. © 2022 IEEE.

关键词： Interoperability

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Dynamic Resources Management Under Limited Communication Based on Multi-level Agent System 6

Dynamic Resources Management Under Limited Communication Bas...

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6th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2023

作者： Wang, Zhigang Chen, Chilian Guo, Chubing Cetc Key Laboratory of Data Link Technology Xi'an China

ISBN: (纸本)9798350399059

Under the condition of limited communication, the message interaction between different platforms cannot meet the demand of realtime and integrality, which significantly reduces the task-execution efficiency. Aiming at making full use of all kinds of payloads resources in the dynamically changing environment, we use a multilevel agent system model to describe the control relationship between different types of platforms and payloads, and propose an improved contract net protocol to coordinate tasks that different platforms need to undertake and manage different payloads of a platform. The experiment results of the semi-physical simulation show that the proposed method can efficiently assign the required resources to the dynamic tasks while interacting with little information between different platforms. © 2023 IEEE.

关键词： Simulation platform

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Adaptive Topology Control Strategy for Heterogeneous Multichannel data linkNetworks 6

Adaptive Topology Control Strategy for Heterogeneous Multich...

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6th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2023

作者： Chi, Kai Li, Fuqiang Zhang, Chaoqi Cetc Key Laboratory of Data Link Technology Shaanxi Xi'an China

ISBN: (纸本)9798350399059

This paper considers a topology control strategy in the multichannel heterogeneous datalink network, which can meet the connectivity optimization requirements of the network by deploying multimode nodes reasonably and adapting different task priorities. This strategy can improve the performance of data link networks in dynamic scenarios. Finally, simulation results are presented to demonstrate the effectiveness of our proposed algorithm. © 2023 IEEE.

关键词： Topology

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MBSE and the Concept Model of the Internet of Things-Based data link System Designing Method 5

MBSE and the Concept Model of the Internet of Things-Based D...

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5th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2022

作者： Zhou, Peng Li, Fuqiang Zhang, Kai Guo, Chubing Key Laboratory on Data Link Cetc Xi'an China

ISBN: (数字)9781665472111

ISBN: (纸本)9781665472111

In view of the problems faced by the traditional data link system design, such as insufficient theoretical basis, nonstandard design process, and weak guidance for system implementation, a new data link system design method is proposed based on model-based systems engineering (MBSE) and the conceptual model of the Internet of things. This method refers to the idea of MBSE to refine the design flow models, which generates system architecture by requirements analysis, and then generates the system composition and interface description by using the concept model of the internet of things, so it can guide the subsequent detailed design and the development better. This method provides a specific and normative design flow, which is beneficial of reducing workload, improving work efficiency and making the outcome more intuitive and complete. © 2022 IEEE.

关键词： Internet of things

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Efficient Asynchronous Uplink Sensing in Perceptive Mobile Networks via Accurate Delay Estimation

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IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Li, Hang Teng, Fuxian Guo, Qinghua Zhang, J. Andrew Huang, Xiaojing Cheng, Zhiqun Hangzhou Dianzi University School of Electronics and Information Hangzhou310018 China Academy of Network and Communications of CETC National Key Laboratory of Advanced Communication Networks Hebei Shijiazhuang050081 China University of Wollongong School of Electrical Computer and Telecommunications Engineering WollongongNSW2522 Australia University of Technology Sydney Global Big Data Technologies Centre UltimoNSW2007 Australia

In perceptive mobile networks (PMNs) with integrated sensing and communication (ISAC), sensing ambiguity in ranging and velocity measurements can be caused by timing offsets (TOs) and carrier frequency offsets (CFOs) between asynchronous sensing transmitter and receiver. In this paper, we propose an efficient method for uplink sensing with asynchronous transceivers, via accurately estimating path delays including TOs. Firstly, we develop a sparse signal recovery model to decouple multiple sensing parameters, i.e., delay, angle of arrival (AoA) and Doppler for multipath, facilitating efficient and low-complexity sensing parameter estimation. Then, leveraging unitary approximate message passing (UAMP) and sparse Bayesian learning (SBL), we obtain initial delay and signal estimates, which are then refined through Gauss-Seidel iteration. Finally, we conduct estimation and association of the remaining sensing parameters by coherently processing cross-correlation of received signals across the spatial and temporal domains. This effectively removes the sensing ambiguity incurred by time-varying TOs and CFOs, enabling accurate estimation of range and velocity for multiple targets. Simulation results verify the effectiveness of the proposed method, demonstrating its superior sensing performance, compared to existing methods such as cross-antenna cross correlation (CACC). © 2015 IEEE.

关键词： Frequency allocation

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LIEO-SAM-Iris: Tightly-coupled Lidar Inertial Encoder Odometry via Smoothing and Mapping based on Iris loop closure 23

LIEO-SAM-Iris: Tightly-coupled Lidar Inertial Encoder Odomet...

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9th International Conference on Computing and Artificial Intelligence, ICCAI 2023

作者： Yang, Feng Jie, Baibing Song, Hongxuan Northwestern Polytechnical University CETC Key Laboratory of Data Link Technology China

ISBN: (纸本)9781450399029

To address the challenges of localization and mapping for unmanned ground vehicle in complex environments, we propose a SLAM framework LIEO-Iris that is a tightly-coupled lidar Inertial encoder odometry based on Iris loop closure. The framework fuses multiple sensors such as lidar, IMU, encoder, GPS, etc. The speed and pose provided by IMU and encoder de-skews lidar point clouds, and the back-end integrates lidar odometry factor, IMU-encoder pre-integration factor, loop closure detection factor, and GPS factor. The loop closure detection adopts the IRIS descriptor, which is rotationally invariant and provides richer map information, enabling faster and more accurate detection of loop closures. © 2023 Copyright held by the owner/author(s).

关键词： Optical radar

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