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Mixed RF/FSO Communication systems With Rate Splitting

IEEE Journal on Selected Areas in Communications 2025年第5期43卷 1621-1634页

作者： Zhang, Yiran Xiao, Zhichen Yang, Liang Bithas, Petros S. Hasna, Mazen O. Karagiannidis, George K. Hunan University College of Computer Science and Electronic Engineering Changsha410082 China National and Kapodistrian University of Athens Department of Digital Industry Technologies Athens157 72 Greece Qatar University Department of Electrical Engineering Doha2713 Qatar Aristotle University of Thessaloniki Department of Electrical and Computer Engineering Thessaloniki541 24 Greece Artificial Intelligence and Cyber Systems Research Center Beirut0379-7751 Lebanon

In this paper, rate splitting (RS) has been applied in a mixed dual-hop radio frequency/free space optical (RF/FSO) relay system. In particular, assuming fixed-gain amplify-and-forward (AF) and decode-and-forward (DF) relay protocols, the performance of both heterodyne detection and intensity-modulated direct detection (IM-DD) has been analytically evaluated. In this framework, it is assumed that the RF channel suffers from Rayleigh fading, while the FSO channel is affected by the atmospheric turbulence-induced fading with Málaga (M) distribution and pointing errors. For the considered system, we derive expressions for the outage probability, the average bit error rate (BER), and the average channel capacity. In addition, the asymptotic performance of the system at high signal-to-noise ratios regime is analyzed, special cases are discussed, and useful insights have been extracted. Finally, numerical results are presented to verify the accuracy of the analytical and asymptotic expressions. © 1983-2012 IEEE.

关键词： Heterodyne detection

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ATOM: An Automatic Topology Synthesis Framework for Operational Amplifiers

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IEEE Transactions on computer-Aided Design of Integrated Circuits and systems 2025年第3期44卷 1193-1198页

作者： Shen, Jinyi Yang, Fan Shang, Li Yan, Changhao Bi, Zhaori Zhou, Dian Zeng, Xuan Fudan University State Key Laboratory of Integrated Chips and Systems School of Microelectronics Shanghai200433 China Fudan University State Key Laboratory of Integrated Chips and Systems The School of Computer Science Shanghai200433 China Fudan University State Key Laboratory of Integrated Chips and Systems Microelectronics Department Shanghai200433 China University of Texas at Dallas Department of Electrical Engineering DallasTX75080 United States

Bayesian optimization (BO) is more efficient in automatically synthesizing operational amplifier (opamp) topologies compared to conventional methods. However, the design space for behavior-level opamp topologies involves numerous connections that are difficult to comprehend, and evaluating each topology incurs substantial computational costs. To tackle these challenges, this brief introduces ATOM, an automatic opamp topology synthesis framework. We construct a concise design space for behavior-level opamp topologies, consisting of topologies that designers can easily understand. We propose an opamp topology optimization method that incorporates freeze-thaw BO. This method efficiently explores the design space and expedites the evaluation process. Experimental studies demonstrate that ATOM outperforms state-of-the-art topology synthesis methods in terms of success rate and optimization results while reducing the number of required simulations by up to 8.15 times. The source code for ATOM is available at https://***/Jinyi-Shen/ATOM. © 2024 IEEE.

关键词： Thawing

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Integrated Framework of Multisource Data Fusion for Outage Location in Looped Distribution systems

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IEEE Transactions on Smart Grid 2025年第3期16卷 2635-2646页

作者： Liu, Liming Yuan, Yuxuan Wang, Zhaoyu Yao, Yiyun Ding, Fei Iowa State University Department of Electrical and Computer Engineering AmesIA50011 United States National Renewable Energy Laboratory Power System Engineering Center GoldenCO80214 United States

Accurate outage location is essential for expediting post-outage power restoration, minimizing outage duration, and enhancing the resilience of distribution networks. With the advent of advanced metering infrastructure, data-driven outage location methods have significantly advanced beyond traditional approaches that rely on manual inspections. However, existing methods still face critical challenges, like reliance on single-source data, limited ability to handle partially observable systems or difficulties with loop networks. To the best of our knowledge, no single approach has comprehensively addressed all of these challenges at once. To this end, this paper proposes a comprehensive multisource data fusion framework for outage locations via probabilistic graph networks. The framework consists of three key phases. First, a novel method for reconstituting distribution networks with loops is developed, transforming looped networks into multiple radial subnetworks that retain all outage causalities of the original network. Second, Bayesian network (BN) models are established for each subnetwork, integrating multiple data sources and network structures. Finally, a joint Gibbs sampling mechanism, featuring forward and backward information flow, is designed to merge data from separate BN models and maximize the utilization of limited evidence, ensuring accurate outage location identification. The framework was validated on two modified public test systems, and comparative studies confirmed its effectiveness. © 2010-2012 IEEE.

关键词： Soft sensors Data models Topology Probabilistic logic Data integration Accuracy Renewable energy sources Observability Government Support vector machines

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Lessons in Cooperation: Driver Sentiments Toward Real-Time Advisory systems

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IEEE Intelligent Transportation systems Magazine 2025年 2-13页

作者： Hasan, Aamir Chakraborty, Neeloy Chen, Haonan Wu, Cathy Driggs-Campbell, Katherine Meta Menlo ParkCA94025 United States University of Illinois Urbana-Champaign Department of Electrical and Computer Engineering UrbanaIL61801 United States Massachusetts Institute of Technology Laboratory for Information & Decision Systems Civil and Environmental Engineering Institute for Data Systems and Society CambridgeMA02139 United States

Real-time advisory systems (RTASs) are a crucial milestone on the road toward fully autonomous driving. Current proof-of-concept RTASs, which observe drivers and their environment to provide advice, are effective in addressing fundamental traffic issues (e.g., congestion mitigation). However, interactions between these advisors and drivers have not yet been studied. In this article, we present insights from the first user study to explore drivers' interactions with these progressive systems. We query the reactions of 16 drivers to congestion mitigation advisors (CMAs) in a driving simulator. We discuss drivers' sentiments toward CMAs exhibiting diverse behaviors and their preferences for various aspects of the interactions such as the advice provided and the user interface. The effects of the behaviors on driver trust and adaption are also explored. We present recommendations to inform the design of cooperative advisory systems that will be ubiquitous as vehicle technology moves toward full automation. © 2009-2012 IEEE.

关键词： Real time control

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Contract-Based Incentive Mechanisms for UAV Networks in Covert Communications

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IEEE Transactions on Vehicular Technology 2025年第5期74卷 7378-7391页

作者： Tian, Wen Fan, Hao Liu, Guangjie Du, Miao Liu, Yinqiu Niyato, Dusit Han, Zhu Nanjing University of Information Science and Technology School of Electronic and Information Engineering Nanjing University of Information Science and Technology Key Laboratory of Intelligent Support Technology In Complex Environment Ministry of Education Nanjing210044 China Southeat University School of Computer Science and Engineering China Southeast University Key Laboratory of Computer Network and Information Integration Ministry of Education Nanjing China Nanyang Technological University School of Computer Science and Engineering 639798 Singapore 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

Covert communication is considered a promising technology for hiding transmission processes and activities from malicious eavesdropping. With the development of detection technology, the traditional point-to-point covert communication method cannot effectively guarantee the reliability of covert communication. In order to solve this problem, unmanned aerial vehicle (UAV) are widely adopted in covert communication as common relay equipment. However, the UAV maximizes its benefits by taking advantage of the information asymmetry between itself and the covert communication sender. Therefore, it is necessary to encourage UAV-assisted potential users (UPU) to transmit covert data honestly by designing an information asymmetry-based incentive mechanism. In this paper, we propose a UAV-assisted contract-theoretic (UACT) model to improve the covert communication performance, where UPU honestly transmits covert data and the throughput of UACT can be increased. Specifically, we first divide UPU into finite types and model the data transfer contract between the sender, UPU, and receiver. Then, the contract feasibility of UACT is derived with sufficient and necessary conditions. Finally, we analyze the contract optimization in the continuous case of UPUs. Numerical simulations show that the UACT can incentivize UPUs to transmit covert data through UAV assistance and make covert communication performance close to the information symmetry case. © 1967-2012 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Effect of Magnetic Couplings on Conducted EMI of GaN-Based PFC Converter 14

Effect of Magnetic Couplings on Conducted EMI of GaN-Based P...

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14th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2025

作者： McGrew, Tyler Li, Qiang Virginia Tech Center for Power Electronic Systems The Bradley Department of Electrical and Computer Engineering BlacksburgVA United States

ISBN: (纸本)9798331516116

Wide-bandgap power devices have enabled power supplies to increase in density while maintaining high efficiency. However, EMI issues remain one of the most challenging aspects when designing a power converter. These issues are often caused by parasitic near-field couplings which can degrade or bypass the attenuation of the EMI filter. This paper investigates how parasitic magnetic couplings impact the conducted noise of a high-frequency PFC converter using PCB-winding inductor. Analytical models are presented for both differential mode (DM) and common mode (CM) noise, including the effects of magnetic couplings between the PFC inductor and EMI filter. Then, three ferrite inductor core designs are evaluated to demonstrate how the core's geometry and permeability affect its leakage magnetic field. Choosing the optimal core design is shown to significantly reduce the magnetic field outside the PFC inductor, which reduces DM noise by more than 20 dB and reduces CM noise by 7 dB. © 2025 IEEE.

关键词： Magnetic levitation

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FPGA-based UWB Pulse Generator for IR-UWB Chipless RFID Reader 6

FPGA-based UWB Pulse Generator for IR-UWB Chipless RFID Read...

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6th Australian Microwave Symposium, AMS 2025

作者： Lasantha, Likitha Aliasgari, Javad Khan, Shahed I. Ray, Biplob Karmakar, Nemai C. Monash University Department of Electrical and Computer Systems Engineering Clayton Australia Central Queensland University School of Engineering and Technology Melbourne Australia

ISBN: (纸本)9798350379969

Ultra-wideband (UWB) technology has gained traction for applications demanding high bandwidth, precise target localisation, and low power consumption. This paper presents an FPGA-based UWB pulse generator tailored for an Impulse-radio (IR) UWB chipless RFID reader. Using a low-cost FPGA platform, the design generates a square wave signal with a pulse repetition frequency (PRF) of 1-50 MHz. This base signal undergoes pulse sharpening to produce picosecond-scale pulses, achieving the bandwidth exceeding 500 MHz necessary for UWB communication. Such a high-bandwidth signal ensures better range resolution, meeting the requirements of applications of UWB chipless RFID readers. By implementing pulse generation and PRF control on an FPGA, our system combines low cost, flexibility, and scalability, making it suitable for diverse UWB applications. © 2025 IEEE.

关键词： Ultra-wideband (UWB)

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Evaluation-free Time-series Forecasting Model Selection via Meta-learning

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ACM Transactions on Knowledge Discovery from Data 2025年第3期19卷 1-41页

作者： Abdallah, Mustafa Rossi, Ryan A. Mahadik, Kanak Kim, Sungchul Zhao, Handong Bagchi, Saurabh Purdue University in Indianapolis IndianapolisIN United States Adobe Systems Inc San JoseCA United States Department of Electrical and Computer Engineering Purdue Univ West LafayetteIN United States

Time-series forecasting models are invariably used in a variety of domains for crucial decision-making. Traditionally these models are constructed by experts with considerable manual effort. Unfortunately, this approach has poor scalability while generating accurate forecasts for new datasets belonging to diverse applications. Without access to skilled domain-knowledge, one approach is to train all the models on the new time-series data and then select the best one. However, this approach is nonviable in practice. In this work, we develop techniques for fast automatic selection of the best forecasting model for a new unseen time-series dataset, without having to first train (or evaluate) all the models on the new time-series data to select the best one. In particular, we develop a forecasting meta-learning approach called AutoForecast that allows for the quick inference of the best time-series forecasting model for an unseen dataset. Our approach learns both forecasting models' performances over time horizon of the same dataset and task similarity across different datasets. The experiments demonstrate the effectiveness of the approach over state-of-the-art (SOTA) single and ensemble methods and several SOTA meta-learners (adapted to our problem) in terms of selecting better forecasting models (i.e., 2 × gain) for unseen tasks for univariate and multivariate testbeds. AutoForecast has also significant reduction in inference time compared to the naïve approach (doing inference using all possible models and then selecting the best one), with median of 42 × across the two testbeds. We release our meta-learning database corpus (348 datasets), performances of the 322 forecasting models on the database corpus, meta-features, and source codes for the community to access them for forecasting model selection and to build on them with new datasets and models which can help advance automating time-series forecasting problem. In our released database corpus, we unveil new traces

关键词： Prediction models

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Broadband Impedance Matching for Wearable Magnetoinductive Waveguides

Broadband Impedance Matching for Wearable Magnetoinductive W...

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2025 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2025

作者： Jenkins, Connor Kiourti, Asimina ElectroScience Laboratory Department of Electrical and Computer Engineering The Ohio State University ColumbusOH43212 United States

ISBN: (纸本)9781946815200

Magnetoinductive Waveguides (MIWs) consist of coupled electrically small resonant elements that support the propagation of magnetoinductive waves. By exciting current on an element, a magnetic field is formed, leading to the generation of current on neighboring elements via Faraday's Law. This pattern continues to form a traveling wave. MIWs have been used in wireless power transfer applications, sub-wavelength imaging setups, and as data communication media for applications such as Magnetic Resonance Imaging (MRI) or in challenging Radio-Frequency (RF) environments such as underground, underwater or on the body. In particular, our previous work has focused on their application to wireless body area networks (WBANs) that seamlessly interconnect wearable devices and sensors. © 2025 USNC-URSI.

关键词： Inductive power transmission

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Control of Grid-Connected Inverters Using PLL for Synchronization and Harmonic Mitigation

Control of Grid-Connected Inverters Using PLL for Synchroniz...

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2025 IEEE Texas Power and Energy Conference, TPEC 2025

作者： Yousefpour, Kamran Yousefpour, Mohammad Molla, Seyyed Javad Hosseini Andani, Mansour Taheri Varnousdaderani, Sepideh Alaei Andani, Hamid Taheri Mississippi State University Department of Electrical and Computer Engineering United States Azad University Iran Babol Noshirvani University of Technology Department of Electrical and Computer Engineering Iran School of Manufacturing Systems and Networks Arizona State University United States Azad University Department of Computer Engineeering Iran Isfahan University of Technology Department of Electronic Engineering Iran

ISBN: (纸本)9798331541125

This paper presents the design and simulation of a single-phase grid-connected inverter control system, focusing on enhancing power quality and dynamic performance. The control system comprises a resonant controller for real and reactive power regulation, ensuring sinusoidal current injection into the grid. Additionally, a Phase-Locked Loop (PLL) is incorporated to improve synchronization with the grid voltage, generating accurate reference signals for current control and mitigating harmonic disturbances. The PLL design leverages specific gain parameters, μ1,μ2, and μ3, optimized for a critically damped response. A comprehensive simulation study evaluates the system's performance under different conditions, including soft-start operation, transient power commands, and grid voltage distortion with low-order harmonics (Sth, 7th, LIth, and 13th). Results highlight the system's robust dynamic response, low total harmonic distortion (THD), and effective harmonic attenuation, demonstrating its suitability for grid-connected distributed energy resource (DER) applications. This work provides a scalable and reliable control framework for next-generation inverter systems operating in modern, complex grid environments. © 2025 IEEE.

关键词： Harmonic distortion

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