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Smart World Congress (SWC), IEEE

作者： Zhenyang Guo Jin Cao Xiaoyong Zan Jiawei Yang Ang Li Ben Niu Zhe Sun Lihua Yin Hui Li School of Cyber Engineering Xidian University Xi’an China the State Key Laboratory of Integrated Services Networks Xi’an China ByteDance Ltd Beijing China Department of Electrical & Computer Engineering University of Maryland College Park U.S.A Chinese Academy of Sciences Institute of Information Engineering Beijing China Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou China

ISBN: (数字)9798331520861

ISBN: (纸本)9798331520878

Surveillance cameras are currently widely used in public and private places to enhance area security and reduce crime rates. However, the extensive use of surveillance cameras also poses significant threats, particularly concerning the leakage of users’ private information. Surveillance cameras are often installed in the corners of areas such as hotel front desks, supermarket checkout areas, or ticket offices to observe user behavior, which can lead to shoulder-surfing attacks. In these public or private settings, when users input their personal identification number (PIN) for unlocking or payment, this process may be intentionally or unintentionally exposed and recorded. If the PIN is compromised, it can result in severe privacy breaches and financial losses for users. Existing work primarily focuses on dedicated handheld recording devices such as cameras and smartphones, lacking discussion on public surveillance cameras. In this paper, we first present an attack model for such scenarios. Based on this model, we design and implement an automated attack system for PIN recognition. Experimental results demonstrate that our proposed attack model is both feasible and effective, achieving $90 \%$ accuracy with our system. Finally, we urge users, smartphone manufacturers, and surveillance camera manufacturers to be aware of this attack vector to prevent further harm.

关键词： Codes Surveillance Side-channel attacks Cameras Privacy breach Vectors Pins Recording Security Smart phones

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Uplink Control Information Based Clustered Access and Discontinuous Reception Management for mMTC

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IEEE Communications Letters 2025年第6期29卷 1380-1384页

作者： Wang, Shao-Di Wang, Chang-Long Wang, Hui-Ming Zhou, Feng Leung, Victor C. M. Xidian University Key Laboratory of Electronic Information Countermeasure and Simulation Technology of Ministry of Education Xi’an710071 China Xi’an Jiaotong University School of Information and Communication Engineering Ministry of Education Key Lab for Intelligent Networks and Network Security Xi’an710049 China Shenzhen MSU BIT University Artificial Intelligence Research Institute Shenzhen518172 China Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China The University of British Columbia Department of Electrical and Computer Engineering VancouverBCV6T 1Z4 Canada

Uplink control information (UCI) and discontinuous reception (DRX) play important roles for massive machine type communication (mMTC). Despite their standalone significance, a conspicuous gap exists in comprehensively exploring the synergy between UCI and DRX concerning both energy conservation and latency reduction for mMTC. In this letter, we propose a UCI-based clustered access and DRX management (UCADM) scheme that strikes a balance between these two critical performance metrics, reducing energy usage while preserving low latency in uplink-downlink interaction for mMTC. Specifically, we present a strictly feasible solution for the proposed UCADM scheme by using the spectral radius and the constraint projection, which can effectively solve DRX switching operations as indicated by scheduling information from UCI. Simulation results confirm the effectiveness of our scheme. © 1997-2012 IEEE.

关键词： Information management

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Shaping the future of the application of quantum computing in intelligent transportation system

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Intelligent and Converged networks 2021年第4期2卷 259-276页

作者： Sumin Wang Zhi Pei Chao Wang Jie Wu Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced CommunicationShanghai Institute for Advanced Communication and Data ScienceShanghai UniversityShanghai 200444China Department of Information Engineering Gannan University of Science and TechnologyGanzhou 341000China Department of Computer and Information Sciences Temple UniversityPhiladelphiaPA 19122USA

The intelligent transportation system(ITS)integrates a variety of advanced science and technology to support and monitor road traffic systems and accelerate the urbanization process of various *** paper analyzes the shortcomings of ITS,introduces the principle of quantum computing and the performance of universal quantum computer and special-purpose quantum computer,and shows how to use quantum advantages to improve the existing *** application of quantum computer in transportation field is reviewed from three application directions:path planning,transportation operation management,and transportation facility *** to the slow development of the current universal quantum computer,the D-Wave quantum machine is used as a breakthrough in the practical *** paper makes it clear that quantum computing is a powerful tool to promote the development of ITS,emphasizes the importance and necessity of introducing quantum computing into intelligent transportation,and discusses the possible development direction in the future.

关键词： quantum computing intelligent transportation quantum annealing D-wave quantum computer

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UAV-Assisted networks With Underlaid Ambient Backscattering: Modeling and Outage Analysis

UAV-Assisted Networks With Underlaid Ambient Backscattering:...

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GLOBECOM 2022 - 2022 IEEE Global Communications Conference

作者： Xu Jiang Min Sheng Nan Zhao Junyu Liu Dusit Niyato F. Richard Yu School of Information and Communication Engineering Dalian University of Technology Dalian China State Key Laboratory of Integrated Service Networks Xidian University Xi'an China School of Computer Engineering Nanyang Technological University Singapore Department of Systems and Computer Engineering Carleton University Ottawa ON Canada

ISBN: (纸本)9781665435413

Combining with flexibly deployed unmanned aerial vehicles (UAVs) and energy-efficient ambient backscatter communication, the UAV-aided ambient backscatter communication can establish wireless links for isolated IoT nodes efficiently. In this paper, we investigate a UAV air-ground networks with underlaid ambient backscatter communications, where the emitted signal from the UAV is leveraged as radio frequency (RF) carrier for ambient backscattering. First, we establish a system model of the UAV air-ground networks with underlaid ambient backscatter communications. Then, the expressions of the outage probabilities for both the backscatter link and the air-ground link are derived. In addition, the asymptotic outage probabilities of infinite transmit power and infinite fading parameter are analyzed. Simulations show that the analytical results match well with the Monte Carlo results, which verifies the effectiveness of the proposed scheme.

关键词： Fading channels Wireless communication Radio frequency Analytical models Monte Carlo methods Atmospheric modeling Probability

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Distributed Task-Oriented Communication networks with Multimodal Semantic Relay and Edge Intelligence

arXiv

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arXiv 2024年

作者： Guo, Jie Chen, Hao Song, Bin Chi, Yuhao Yuen, Chau Yu, Fei Richard Li, Geoffrey Ye Niyato, Dusit The State Key Laboratory of Integrated Services Networks Xidian University Xi’an710071 China The Hangzhou Institute of Technology Xidian University Hangzhou311231 China The School of Electrical and Electronics Engineering The School of Computer Science and Engineering Respectively Nanyang Technological University 639798 Singapore The Department of Systems and Computer Engineering Carleton University OttawaK1S 5B6 Canada The Faculty of Engineering Imperial College London LondonSW7 2AZ United Kingdom

In this article, we present a novel framework, named distributed task-oriented communication networks (DTCN), based on recent advances in multimodal semantic transmission and edge intelligence. In DTCN, the multimodal knowledge of semantic relays and the adaptive adjustment capability of edge intelligence can be integrated to improve task performance. Specifically, we propose the key techniques in the framework, such as semantic alignment and complement, a semantic relay scheme for deep joint source-channel relay coding, and collaborative device-server optimization and inference. Furthermore, a multimodal classification task is used as an example to demonstrate the benefits of the proposed DTCN over existing methods. Numerical results validate that DTCN can significantly improve the accuracy of classification tasks, even in harsh communication scenarios (e.g., low signal-to-noise regime), thanks to multimodal semantic relay and edge intelligence. © 2024, CC BY-NC-SA.

关键词： Signal to noise ratio

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Visible Light Positioning Based on a Single Luminaire: A Novel Visual Odometry Assisted Algorithm

Visible Light Positioning Based on a Single Luminaire: A Nov...

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IEEE International Conference on Communications (ICC)

作者： Zhiyu Zhu Yang Yang Mingzhe Chen Caili Guo Yipeng Bai Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Department of Electrical and Computer Engineering Institute for Data Science and Computing University of Miami Coral Gables FL USA Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

Visible light positioning (VLP) is a promising positioning technique, which, however, typically requires multiple luminaires to achieve accurate positioning. This paper proposes a novel visual odometry (VO) assisted visible light positioning algorithm (VO-VLP) in achieving positioning with only a single luminaire. In the considered model, a user equipped with a camera jointly uses geometric features in the captured images and coordinates information obtained via visible light communication (VLC) for positioning. The proposed VLP algorithm does not rely on any extra inertial measurement unit and relaxes the tilted angle limitation at the user. In particular, VO-VLP first uses the circle feature of a luminaire to obtain dual normal vectors of the luminaire. Then, the basic principle of VO is used to eliminate the wrong normal vector by exploiting the geometric features in two consecutive images captured when the user moves. Finally, the pose and location of the user are obtained by using an artificially marked point on the luminaire's contour. VO-VLP can achieve accurate positioning with only a single luminaire and a camera. Simulation results show that the proposed indoor positioning algorithm can achieve a 97th-percentile positioning accuracy of around 10 cm.

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Cooperative Digital Healthcare Task Scheduling and Resource Management in Edge Intelligence Systems

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Tsinghua Science and Technology 2025年第2期30卷 926-945页

作者： Xing Liu Jianhui Lv Byung-Gyu Kim Keqin Li Hongkai Jin Wei Gao Jiayuan Bai Department of Oncology The First Affiliated Hospital of Jinzhou Medical UniversityJinzhou 121012China Department of Imaging The First Affiliated Hospital of Jinzhou Medical UniversityJinzhou 121012China Department of Networks Peng Cheng LaboratoryShenzhen 518057China Tsinghua Shenzhen International Graduate School Shenzhen 518055China Department of Artificial Intelligence Engineering Sookmyung Women’s UniversitySeoul 04310Republic of Korea Department of Computer Science State University of New YorkNew PaltzNY 12561USA School of Life Sciences Jinzhou Medical UniversityJinzhou 121001China School of Basic Medicine Jinzhou Medical UniversityJinzhou 121001China School of First Clinical Medicine Jinzhou Medical UniversityJinzhou 121001China

The rapid growth of digital healthcare applications has led to an increasing demand for efficient and reliable task scheduling and resource management in edge computing ***,the limited resources of edge servers and the need to process delay-sensitive healthcare tasks pose significant *** solutions often need help to balance the trade-off between system cost and quality of service,particularly in resource-constrained *** address these challenges,we propose a novel cooperative task scheduling and resource management framework for digital healthcare applications in edge intelligence *** approach leverages a two-step optimization strategy that combines the Multi-armed Combinatorial Selection Problem(MCSP)for task scheduling and the Sequential Markov Decision Process(SMDP)with alternative reward estimation for computation *** MCSP-based scheduling algorithm efficiently explores the combinatorial task scheduling space to minimize healthcare task completion time and *** SMDP-based offloading strategy incorporates alternative reward estimation to improve robustness against dynamic variations in the system *** simulations using real-world healthcare data demonstrate the superior performance of our proposed framework compared to state-of-the-art baselines,achieving significant improvements in cost,task success rate,and *** proposed approach enables reliable and efficient digital healthcare services in resource-constrained edge computing environments.

关键词： digital healthcare task scheduling resource management edge intelligence

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Digital-Based Inverse Design for Ultra-Compact Power Splitter on LNOI

Digital-Based Inverse Design for Ultra-Compact Power Splitte...

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Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Lingjun Zhou Hansi Ma Xiaomin Nie Yunchen Li Zhixue He Lei Wang Ke Li Fan Zhang Peng Cheng Laboratory Shenzhen China School of Electronic and Computer Engineering Peking University Shenzhen China Center of Material Science National University of Defense Technology Changsha China State Key Laboratory of Advanced Optical Communication System and Networks School of Electronics Peking University Beijing China

We propose and experimentally demonstrate an ultra-compact and efficient power splitter on LNOI. The device is realized through the inverse design of a digital meta-structure and occupies a small footprint of only 4.8×4.8μm 2 . The measured results show that the insertion losses are below 2.5dB across the wavelength band of 1500–1560 nm, and the power imbalance between the two output ports is within 0.3 dB.

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Stochastic Geometry Based Modelling and Analysis of Uplink Cooperative Satellite-Aerial-Terrestrial networks for Nomadic Communications with Weak Satellite Coverage

arXiv

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arXiv 2024年

作者： Dong, Wen-Yu Yang, Shaoshi Zhang, Ping Chen, Sheng The School of Information and Communication Engineering Beijing University of Posts and Telecommunications The Key Laboratory of Universal Wireless Communications Ministry of Education China The Key Laboratory of Mathematics and Information Networks Ministry of Education Beijing100876 China The School of Information and Communication Engineering Beijing University of Posts and Telecommunications China The State Key Laboratory of Networking and Switching Technology Beijing100876 China The School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

Cooperative satellite-aerial-terrestrial networks (CSATNs), where unmanned aerial vehicles (UAVs) are utilized as nomadic aerial relays (A), are highly valuable for many important applications, such as post-disaster urban reconstruction. In this scenario, direct communication between terrestrial terminals (T) and satellites (S) is often unavailable due to poor propagation conditions for satellite signals, and users tend to congregate in regions of finite size. There is a current dearth in the open literature regarding the uplink performance analysis of CSATN operating under the above constraints, and the few contributions on the uplink model terrestrial terminals by a Poisson point process (PPP) relying on the unrealistic assumption of an infinite area. This paper aims to fill the above research gap. First, we propose a stochastic geometry based innovative model to characterize the impact of the finite-size distribution region of terrestrial terminals in the CSATN by jointly using a binomial point process (BPP) and a type-II Matérn hard-core point process (MHCPP). Then, we analyze the relationship between the spatial distribution of the coverage areas of aerial nodes and the finite-size distribution region of terrestrial terminals, thereby deriving the distance distribution of the T-A links. Furthermore, we consider the stochastic nature of the spatial distributions of terrestrial terminals and UAVs, and conduct a thorough analysis of the coverage probability and average ergodic rate of the T-A links under Nakagami fading and the A-S links under shadowed-Rician fading. Finally, the accuracy of our theoretical derivations are confirmed by Monte Carlo simulations. Our research offers fundamental insights into the system-level performance optimization for the realistic CSATNs involving nomadic aerial relays and terrestrial terminals confined in a finite-size region. Copyright © 2024, The Authors. All rights reserved.

关键词： Stochastic systems

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Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm

arXiv

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arXiv 2023年

作者： Li, Yihong Zhang, Xiaoxi Zeng, Tianyu Duan, Jingpu Wu, Chuan Wu, Di Chen, Xu The School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China The Department of Communications Peng Cheng Laboratory Shenzhen518066 China The Institute of Future Networks Southern University of Science and Technology Shenzhen518055 China The Department of Computer Science The University of Hong Kong Hong Kong

Machine learning (ML) tasks are one of the major workloads in today's edge computing networks. Existing edge-cloud schedulers allocate the requested amounts of resources to each task, falling short of best utilizing the limited edge resources for ML tasks. This paper proposes TapFinger, a distributed scheduler for edge clusters that minimizes the total completion time of ML tasks through co-optimizing task placement and fine-grained multi-resource allocation. To learn the tasks' uncertain resource sensitivity and enable distributed scheduling, we adopt multi-agent reinforcement learning (MARL) and propose several techniques to make it efficient, including a heterogeneous graph attention network as the MARL backbone, a tailored task selection phase in the actor network, and the integration of Bayes' theorem and masking schemes. We first implement a single-task scheduling version, which schedules at most one task each time. Then we generalize to the multi-task scheduling case, in which a sequence of tasks is scheduled simultaneously. Our design can mitigate the expanded decision space and yield fast convergence to optimal scheduling solutions. Extensive experiments using synthetic and test-bed ML task traces show that TapFinger can achieve up to 54.9% reduction in the average task completion time and improve resource efficiency as compared to state-of-the-art schedulers. Copyright © 2023, The Authors. All rights reserved.

关键词： Resource allocation

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