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IEEE Conference on Global Communications (GLOBECOM)

作者： Hong Guo Yinghui Ye Haijian Sun Liqin Shi Shaanxi Key Laboratory of Information Communication Network and Security Xi'an University of Posts & Telecommunications China School of Electrical and Computer Engineering The University of Georgia Athens GA USA

To address the limitation on the rate of secondary users (SUs) in traditional mutualistic symbiotic radio (SR) systems, this paper proposes a new mutualistic SR with hybrid active-passive communications. Unlike the traditional mutualistic SR, where SUs only perform passive backscatter communications (BC), in the proposed mutualistic SR, each SU conveys information via passive BC and active communications (AC) alternatively. To exploit the potential advantages of the proposed SR, we formulate a non-convex problem to maximize the total rate of all SUs by jointly optimizing the transmit power of the primary user (PU), the reflection coefficient and transmit power of each SU, and the time allocation for each SU to perform passive BC and AC. With proof by contradiction, auxiliary variables and successively convex approximation (SCA), we transform the original problem into a convex one and solve it by proposing an iterative algorithm. The simulation results demonstrate that the proposed iterative algorithm converges quickly. Furthermore, the performance evaluation of the proposed mutualistic SR system demonstrates its superiority over the traditional mutualistic SR in terms of the rate achieved by SUs under the same constraints.

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Channel Estimation for Movable Antenna Aided Wideband Communication systems

Channel Estimation for Movable Antenna Aided Wideband Commun...

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2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

作者： Cao, Songqi Zhu, Lipeng Xiao, Zhenyu Ning, Boyu School of Electronic and Information Engineering Beihang University Beijing100191 China National University of Singapore Department of Electrical and Computer Engineering 117583 Singapore University of Electronic Science and Technology of China National Key Laboratory of Science and Technology on Communications 611731 China

ISBN: (纸本)9798350368369

This paper proposes a channel estimation method for movable antenna (MA)-aided wideband communication systems to acquire complete channel state information (CSI), i.e., the channel frequency responses (CFRs) between any position pair within the transmit (Tx) region and the receive (Rx) region across all subcarriers. To start with, we express the CFRs as a combination of the field-response vectors (FRVs), delay-response vector (DRV), and path-response tensor (PRT), which exhibit sparse characteristics and can be recovered by using a limited number of channel measurements at several position pairs of Tx and Rx MAs over a few subcarriers. Specifically, we first formulate the recovery of the FRVs and DRV as a problem of multiple measurement vectors in compressed sensing (MMV-CS), which can be solved via a simultaneous orthogonal matching pursuit (SOMP) algorithm. Next, we estimate the PRT using the least-square (LS) method. Finally, simulation results demonstrate that the proposed SOMP-based channel estimation method can reconstruct the complete wideband CSI with a high accuracy. © 2025 IEEE.

关键词： Channel state information

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Guiding the Way: A Systematic Literature Review on Mentoring Practices in Open Source Software Projects

SSRN

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SSRN 2023年

作者： Feng, Zixuan Kimura, Katie Trinkenreich, Bianca Sarma, Anita Steinmacher, Igor Oregon State University School of Electrical Engineering and Computer Science CorvallisOR97331 United States Northern Arizona University School of Informatics Computing and Cyber Systems FlagstaffAZ86011 United States

Context: Mentoring in Open Source Software (OSS) is important to its project’s growth and sustainability. Mentoring allows contributors to improve their technical skills and learn about the protocols and cultural norms of the project. However, mentoring has its challenges: mentors sometimes feel unappreciated, and mentees may have mismatched interests or lack interpersonal skills. Existing research has investigated the different challenges of mentoring in different OSS contexts, but we lack a holistic understanding. Objective: A comprehensive understanding of the current practices and challenges of mentoring in OSS is needed to implement appropriate strategies to facilitate mentoring. Method: This study presents a systematic literature review investigating how literature has characterized mentoring practices in OSS, including their challenges and the strategies to mitigate them. We retrieved 232 studies from four digital libraries. Out of these, 21 were primary studies. Using this, we performed backward and author snowballing, adding another 27 studies. We conducted a completeness check by reviewing the references of the 4 most relevant primary studies, which resulted in us adding 1 additional study. We then conducted a full-text review and evaluated the studies using a set of criteria;as a result, 10 papers were excluded. We then employed an open-coding approach to analyze, aggregate, and synthesize the selected studies. Results: We reviewed 39 studies to investigate the different facets of mentoring in OSS, encompassing motivations, goals, channels, and contributor dynamics. We then identified 13 challenges associated with mentoring in OSS, which fall into three categories: social, process, and technical. We also present a quick-reference strategy catalog to map these strategies to challenges for mitigation. Conclusions: Our study serves as a guideline for researchers and practitioners about mentoring challenges and potential strategies to mitigate these challenge

关键词： Open source software

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Robustness Assessment of Distributed OPF Under Communication Non-Idealities Using Cyber-Physical Co-Simulation Framework

Robustness Assessment of Distributed OPF Under Communication...

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IEEE Industry Applications Society Annual Meeting (IAS)

作者： Subho Paul Nathan Gray Anamika Dubey Anjan Bose Md Touhiduzzaman James Ogle School of Electrical Engineering and Computer Science Washington State University Pullman WA USA Energy and Environment Directorate Pacific Northwest National Laboratory Richland WA USA

In recent years, distributed optimal power flow (OPF) algorithms have paved the way for the operation of distribution systems, where the distribution system is decomposed into multiple small areas each solving its own local optimization problem and sharing values of boundary variables with neighbors periodically. In contrast with the conventional centralized approaches, the performance of distributed algorithms is highly impacted by the non-ideal conditions of the communication infrastructures used for information sharing. Therefore, it is necessary to assess the robustness of distributed algorithms against real-time communication non-idealities. In this regard, this article investigates the performance of a fast distributed algorithm, named Equivalent Network Approximation method (ENApp), for three-phase radial distribution system under three different non-ideal communication scenarios: (1) erroneous data transfer, (2) additive noise effect and (3) communication delays. The non-idealities are modeled considering the physical aspects of two widely used wide-area network mediums, viz. power line communication and optical fiber. The performance characterization of ENApp is done using IEEE 123 bus test system in a HELICS-based cyber-physical co-simulation environment. This analysis provides an insight into the robustness of the ENApp algorithm in terms of the convergence time and success rate.

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A Hybrid Skin, Fat, and Muscle Human Body Tissue-Mimicking Biological Phantom and Antenna Testbed

A Hybrid Skin, Fat, and Muscle Human Body Tissue-Mimicking B...

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IEEE Annual Conference on Wireless and Microwave Technology (WAMICON)

作者： Michael D. Grady Thomas M. Weller Electromagnetics Division Advanced Concepts Laboratory (ACL) Georgia Tech Research Institute Atlanta GA School of Electrical Engineering and Computer Science Oregon State University Corvallis OR

Human body tissue-mimicking biological phantoms (bio-phantoms) mimic the electrical and physical properties of actual body tissue and are useful structures for validating wireless thermometer performance. A hybrid bio-phantom testbed designed to operate with an antenna system is presented. The hybrid bio-phantom has realistic dielectric properties and is well matched to the antenna. Reflection properties are validated for an antenna-phantom testbed, and the properties show an accurate prediction for the characteristics of a realistic finite thickness multilayered human body from 0.4 to 3 GHz.

关键词： Wireless communication Microwave antennas Solvents Thermometers Phantoms Muscles Biology

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Modeling Adequacy of Droop-Controlled Grid-Forming Converters for Transient Studies: Singular Perturbation Analysis

Modeling Adequacy of Droop-Controlled Grid-Forming Converter...

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Innovative Smart Grid Technologies (ISGT)

作者： Amirthagunaraj Yogarathnam Lilan Karunaratne Nilanjan Ray Chaudhuri Meng Yue Interdisciplinary Science Department Brookhaven National Laboratory Upton NY USA School of Electrical Engineering and Computer Science Pennsylvania State University University Park PA USA

The converter-interfaced generation (CIGs) are expected to dominate the grid of the future. These CIGs will cohabit with a small percentage of synchronous generators (SGs) producing power from hydro, solar thermal or even nuclear resources. It appears that the literature lacks comprehensive modeling adequacy studies on such grids with SGs and CIGs. This paper takes the first step in that direction. To that end, a nonlinear averaged phasor model of the system with detailed model of the converters including grid-forming converters (GFCs) and their control is developed. Then a singular perturbation analysis based model reduction approach for such system is proposed. Based on the proposed method, two levels of reduced order models for the GFCs are derived. Finally, the adequacy of these reduced-order models are presented via time-domain simulations on two test system models using MATLAB/Simulink.

关键词： Analytical models Perturbation methods Reduced order systems Mathematical models Synchronous generators Smart grids Transient analysis

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Joint Optimization Air Base Stations Deployment and User Association in Heterogeneous Space-Air-Ground Integrated Networks

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IEEE Transactions on Vehicular Technology 2025年

作者： Ao, Shaoyou Niu, Yong Han, Zhu Xiong, Lei Wang, Ning Ai, Bo Beijing Jiaotong University Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications School of electronic and Information Engineering Beijing100044 China University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation Beijing100044 China Zhengzhou University School of Information Engineering Zhengzhou450001 China

With the development of 6 G and beyond, space-air-ground integrated networks (SAGINs) have evolved into key elements to promote high-speed and seamless connections for users. This paper studies a heterogeneous SAGIN with satellite, multiple unmanned aerial vehicles (UAVs) and high-altitude platforms (HAPs) serve as aerial base stations (ABSs) in a scenario where ground base stations (GBSs) are overloaded. To optimize the number of ABSs within the system's power limit and maximize the system's downlink throughput, we optimize the 3D deployment of ABSs and user association in the millimeter wave (mmWave) frequency band. We formulate an optimization problem to satisfy the access quality of service (QoS) requirements. This problem is a mixed- integer nonlinear programming problem. Therefore, we divide it into two subproblems: the heterogeneous network ABS deployment problem and the user association problem. We propose a Broyden-Fletcher-Goldfarb-Shanno (BFGS) formula based sequential quadratic programming (SQP) algorithm for the ABS deployment problem and a coalition game algorithm for the user association problem. Finally, we employ a block coordinate descent (BCD) algorithm to iteratively solve the two subproblems until convergence. Extensive simulations with various parameters and user deployments demonstrate that our algorithm outperforms other selected schemes. © 1967-2012 IEEE.

关键词： Quadratic programming

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TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support

arXiv

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arXiv 2023年

作者： Wang, Jie Yan, Zheng Lan, Jiahe Bertino, Elisa Pedrycz, Witold State Key Laboratory on Integrated Services Networks School of Cyber Engineering Xidian University Xi’an710071 China Department of Computer Science Purdue University West LafayetteIN47907 United States Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Department of Electrical and Computer Engineering King Abdulaziz University Jeddah21589 Saudi Arabia Department of Computer Engineering Istinye University Sariyer Istanbul34010 Turkey

Trust evaluation assesses trust relationships between entities and facilitates decision-making. Machine Learning (ML) shows great potential for trust evaluation owing to its learning capabilities. In recent years, Graph Neural Networks (GNNs), as a new ML paradigm, have demonstrated superiority in dealing with graph data. This has motivated researchers to explore their use in trust evaluation, as trust relationships among entities can be modeled as a graph. However, current trust evaluation methods that employ GNNs fail to fully satisfy the dynamic nature of trust, overlook the adverse effects of trust-related attacks, and cannot provide convincing explanations on evaluation results. To address these problems, we propose TrustGuard, a GNN-based accurate trust evaluation model that supports trust dynamicity, is robust against typical attacks, and provides explanations through visualization. Specifically, TrustGuard is designed with a layered architecture that contains a snapshot input layer, a spatial aggregation layer, a temporal aggregation layer, and a prediction layer. Among them, the spatial aggregation layer adopts a defense mechanism to robustly aggregate local trust, and the temporal aggregation layer applies an attention mechanism for effective learning of temporal patterns. Extensive experiments on two real-world datasets show that TrustGuard outperforms state-of-the-art GNN-based trust evaluation models with respect to trust prediction across single-timeslot and multi-timeslot, even in the presence of attacks. In addition, TrustGuard can explain its evaluation results by visualizing both spatial and temporal views. Copyright © 2023, The Authors. All rights reserved.

关键词： Graph neural networks

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Mid-infrared chemical imaging of intracellular tau fibrils using fluorescence-guided computational photothermal microscopy

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Light(Science & Applications) 2023年第7期12卷 1354-1369页

作者： Jian Zhao Lulu Jiang Alex Matlock Yihong Xu Jiabei Zhu Hongbo Zhu Lei Tian Benjamin Wolozin Ji-xin Cheng Department of Electrical and Computer Engineering Boston UniversityBostonMA 02215USA The Picower Institute for Learning and Memory Massachusetts Institute of TechnologyCambridgeMA 02142USA Department of Pharmacology and Experimental Therapeutics Boston University School of MedicineBostonMA 02118USA Department of Physics Boston UniversityBostonMA 02215USA State Key Laboratory of Luminescence and Applications Changchun Institute of OpticsFine Mechanics and PhysicsChinese Academy of Sciences130033 ChangchunChina Department of Biomedical Engineering Boston UniversityBostonMA 02215USA photonics Center Boston UniversityBostonMA 02215USA present address:Department of Mechanical Engineering Massachusetts Institute of TechnologyCambridgeMA 02142USA

Amyloid proteins are associated with a broad spectrum of neurodegenerative ***,it remains a grand challenge to extract molecular structure information from intracellular amyloid proteins in their native cellular *** address this challenge,we developed a computational chemical microscope integrating 3D midinfrared photothermal imaging with fluorescence imaging,termed Fluorescence-guided Bond-Selective Intensity Diffraction Tomography(FBS-IDT).Based on a low-cost and simple optical design,FBS-IDT enables chemical-specific volumetric imaging and 3D site-specific mid-IR fingerprint spectroscopic analysis of tau fbrils,an important type of amyloid protein aggregates,in their intracellular ***-free volumetric chemical imaging of human cells with/without seeded tau fibrils is demonstrated to show the potential correlation between lipid accumulation and tau aggregate ***-resolved mid-infrared fingerprint spectroscopy is performed to reveal the protein secondary structure of the intracellular tau fibrils.3D visualization of theβ-sheet for tau fibril structure is achieved.

关键词： tau amyloid chemical

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Enhanced Prognostics and Health Management in Automated Driving systems: Using Graph Neural Networks to Recognize Operational Contexts

Enhanced Prognostics and Health Management in Automated Driv...

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Prognostics and System Health Management Conference (PHM)

作者： Peng Su Yeqi Wang Conglei Xiang Erik Wendel Madhav Mishra DeJiu Chen Department of Engineering Design Mechatronics Division KTH Royal Institute of Technology Stockholm Sweden Embedded Systems Master Program of Electrical Engineering and Computer Science (EECS) School KTH Royal Institute of Technology Stockholm Sweden Digital Systems Division RISE Research Institutes of Sweden Gothenburg Sweden

ISBN: (数字)9798350360585

ISBN: (纸本)9798350360592

Prognostics and health management (PHM) is an engineering discipline that aims to maintain system behaviour and function and ensure mission success, safety and effectiveness. Addressing the challenges in prognostics and health management for modern intelligent systems, especially automated driving systems, is complex due to the contextual nature of faults. This complexity necessitates a thorough understanding of spatial, and temporal conditions, and relationships within operational scenarios and life-cycle stages. This paper introduces a framework designed to automatically recognize driving scenarios in automated driving systems using graph neural networks (GNNs). The framework extracts relational data from image frames, constructing graph-based models and transforming unstructured sensory data into structured data with diverse node types and relationships. A specific graph neural network processes the graph model to reveal and detect operational conditions and relationships. The proposed framework is evaluated using the KITTI dataset, demonstrating superior performance compared to conventional feed-forward networks such as MLP, particularly in handling relational data.

关键词： Graph neural networks Data models Safety Complexity theory Data mining Prognostics and health management Intelligent systems

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