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Learning and Optimization over Robust Networked Systems

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Performance Evaluation Review 2025年第3期52卷 23-26页

作者： Lin, I-Cheng Department of Electrical and Computer Engineering Carnegie Mellon University United States

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III-nitride nanostructures: Selective area epitaxy, surface emitting lasers, and emerging photodetectors

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Semiconductors and Semimetals 2024年 116卷 1-23页

作者： Zhao, Songrui Department of Electrical and Computer Engineering McGill University MontrealQC Canada

ISBN: (纸本)9780443296888

III-nitride nanowires have emerged as an important semiconductor device technology development platform, leveraging the unique physical properties of III-nitride semiconductors such as widely tunable bandgap energies, as well as the merits of semiconductor nanowires such as the large surface area to the bulk volume ratio. The past ten years have witnessed a lot of exciting developments on III-nitride nanowire photonic devices. With limited text, the intention of this book chapter is to describe some of the key advances related to the III-nitride nanowire epitaxy, lasers, and photodetectors in the past few years. The prospect of III-nitride nanowire photonic devices in the next decade and beyond is also discussed, and they are expected to be the game changers for various applications such as display, imaging, and information processing, to just name a few. © 2024

关键词： Photonic devices

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Maximizing aged photovoltaic array power:a computer modelling study

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Clean Energy 2024年第1期8卷 171-187页

作者： Fadi N.Sibai Electrical&Computer Engineering Department Gulf University for Science and TechnologyMishrefKuwait

Photovoltaic(PV)modules age with time for various reasons such as corroded joints and terminals and glass coating defects,and their ageing degrades the PV array *** the help of the PV array numerical model,this paper explores the effects of PV module ageing on the PV array power,and the power gains and costs of rearranging and recabling aged PV modules in a PV *** numerical PV array model is first revised to account for module ageing,rearrangement and recabling,with the relevant equations presented *** updated numerical model is then used to obtain the array powers for seven different PV *** power results are then analysed in view of the attributes of the seven PV array examples.A guiding method to recommend recabling after rearranging aged modules is then proposed,leading to further significant power gains,while eliminating intra-row *** certain conditions are met,it was shown that recabling PV modules after rearranging them may lead to further significant power gains,reaching 57%and 98%in two considered PV array *** gains are possible in other arrays.A cost-benefit analysis weighing annual power gains versus estimated recabling costs is also given for the seven considered PV array examples to guide recabling decisions based on technical and economic *** the considered examples,recabling costs can be recovered in<4 *** with the powers of the aged arrays,power gains due to our proposed rearranging and recabling the PV arrays ranged between 73%and 131%in the considered examples—well over the gains reported in the ***,the cost of our static module rearrangement and recabling method outshines the costs of dynamic reconfiguration methods recently published in the literature.

关键词： solar energy optimizing array power photovoltaic array modelling photovoltaic modules ageing photovoltaic module rearrangement module recabling and reconfiguration PV array mismatch

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United We Fall: On the Nash Equilibria of Multiplex and Multilayer Network Games

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IEEE Transactions on Control of Network Systems 2025年第2期12卷 1238-1250页

作者： Ebrahimi, Raman Naghizadeh, Parinaz University of California Electrical and Computer Engineering Department San Diego United States

Network games provide a framework to study strategic decision making processes that are governed by structured interdependencies among agents. However, existing models do not account for environments in which agents simultaneously interact over multiple networks, or when agents operate over multiple action dimensions. In this paper, we propose new models of multiplex network games to capture the different modalities of interactions among strategic agents, and multilayer network games to capture their interactions over multiple action dimensions. We explore how the properties of the constituent networks of a multiplex/multilayer network can undermine or support the existence, uniqueness, and stability of the game's Nash equilibria. Notably, we highlight that both the largest and smallest eigenvalues of the constituent networks (reflecting their connectivity and two-sidedness, respectively) are instrumental in determining the uniqueness of the multiplex/multilayer network game's equilibrium. Together, our findings shed light on the reasons for the fragility of equilibria when agents interact over networks of networks, and point out potential interventions to alleviate them. © 2014 IEEE.

关键词： Nash equilibrium

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High Accurate PMSM Computation Model Based on Strongly Coupled Magnetic Field and Multi-Turn Electric Winding Circuits Using the Time-Stepping Finite Element

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Progress in Electromagnetics Research C 2025年 153卷 13-23页

作者： Merzouki, Tarik Rachek, M’Hemed Department of Electrotechnics Faculty of Electrical and Computer Engineering Mouloud Mammeri University Algeria

The work presented in this paper has great significance in improving electromagnetic models based on the strong coupling between the magnetic and electric fields transient equations while considering a realistic random multi-turn stranded winding where eddy currents, proximity and skin effects occur. The space-time partial differential equations of electromagnetic field expressed in terms of magnetic vector potential under nonlinear (B-H) magnetic materials curves handled by the iterative Newton-Raphson (NR) algorithm are simultaneously coupled with the voltage fed multi-turns electric circuits equations based on Kirchhoff’s voltage law for each turn coil current loop. The magnetic field-multi-turn electric circuit coupled model solved using the time-stepping finite element method (FEM) formulation is dedicated to highly accurate computation of electromagnetic-mechanical devices. The developed FEM tools implemented under Matlab software are used to the modeling of the permanent magnet synchronous motor (PMSM) behavior through the physical quantities such as magnetic flux density, electric current, electromagnetic torque, and angular velocity. © 2025, Electromagnetics Academy. All rights reserved.

关键词： MATLAB

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Determining code parameters to achieve the maximum bandwidth efficiency in fiber-optic CDMA systems

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Journal of Optical Communications 2024年第3期45卷 653-661页

作者： Bogheiri, Tahereh Ghorban Sabbagh, Abbasali Department of Electrical and Computer Engineering Quchan University of Technology Quchan Iran

This paper first determines the generalized optical orthogonal code (GOOC) parameters to minimize the bit error probability in fiber-optic code division multiple access systems. The systems use on-off keying as the modulator and the optical AND logic gate as the receiver. In situations where the problem of finding the lowest bit error probability has more than one answer, we introduce and examine four approaches to choose the optimal answer. Finally, by employing a complete search of code parameters, we determine GOOC parameters (if there are any) to achieve the maximum bandwidth efficiency considering the design constraints, i.e., the number of network users and the maximum acceptable probability of error. © 2022 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Efficiency

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CSI Robust Joint User Selection and Precoder Design in MIMO Downlink Systems

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IEEE Wireless Communications Letters 2025年第6期14卷 1796-1800页

作者： Vaezy, Hossein Blostein, Steven D. Queen’s University Department of Electrical and Computer Engineering KingstonON Canada

In multiuser multiple-input multiple-output (MU-MIMO) systems, the selection of a subset of users to achieve the maximum sum rate is critical when resources are limited. In addition, designing suitable precoder and decoder matrices at the base station (BS) and at the user side requires unattainable perfect channel state information. In this letter, the downlink of a cellular system with multiple antennas at user equipments (UEs) is considered. A framework is derived for joint user selection and precoder/decoder design in the presence of imperfect channel estimation with neither instantaneous nor statistical error matrices. A robust method is proposed that incorporates a bounded worst-case channel in the design of precoders, decoders, and user selection. The optimization problem is solved iteratively by decomposition into multiple convex sub-problems which are solved successively. Finally, it is illustrated that for the case of a set of predesigned precoders, the interference pattern remains fixed for each user, implying that the problem of user selection could be transformed to that of beam selection. © 2025 IEEE. All rights reserved.

关键词： Channel estimation

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Wide-band high performance optical modulator based on a stack of graphene and h-BN layers with plasmonic edge mode

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Optical and Quantum Electronics 2025年第2期57卷 1-23页

作者： Karimkhani, Hossein Karim, Mohammad Ataul Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Department of Electrical and Computer Engineering University of Massachusetts DartmouthMA02747 United States

Modulation depth and its associated loss pose a significant challenge in electro-optical telecommunication systems. Optimal modulators strive to enhance modulation depth while minimizing loss rates. We propose a high-performance electro-optical hybrid plasmonic modulator based on graphene, hexagonal Boron Nitride (h-BN), and Molybdenum Disulfide (MoS2) layers. The substrate of the proposed modulator is SiO2 on a Silicon wafer, where Ag layers are embedded in the SiO2 layer and on top of the structure. Graphene layers at the edge of the upper and lower Ag layers and h-BN in between them create a waveguide capable of transmitting input light through the structure. Graphene and MoS2 layers increase the amount of light interaction increasing, in turn, modulation depth. The edge mode in the graphene layers confines light properly and increases the electrical field intensity in a narrow gap. The modulator’s performance is examined using a three-dimensional finite-difference time-domain (FDTD) method. The structure’s modulation depth, for a range of temperature, ranges between 40.54 dB/μm and 42.05 dB/μm. The maximum loss is estimated to be 5.723 dB/μm at 1.3 μm for 0.65 eV chemical potential, which yields a figure of merit (FoM) of 12.5 and extinction ratio (ER) of 99.51 dB. The equivalent circuit for the modulator is investigated in terms of parameters such as energy consumption and modulation bandwidth. The modulator demonstrates an impressively low energy consumption per bit, underscoring its efficiency and practicality. The modulator’s characteristics primarily arise from utilizing a thin layer of h-BN instead of thick dielectric layers. Unlike the previously examined configurations, applying voltage through the graphene layers substantially diminishes the insertion loss. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Silicon wafers

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Fast 3D Beam Training with True-Time-Delay Arrays in Wideband Millimeter-Wave Systems

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IEEE Transactions on Wireless Communications 2025年第6期24卷 5146-5162页

作者： Wadaskar, Aditya Boljanovic, Veljko Yan, Han Cabric, Danijela University of California Department of Electrical and Computer Engineering Los Angeles United States

True-time-delay (TTD) arrays can implement frequency-dependent rainbow beams and enable fast beam alignment in wideband millimeter-wave (mmWave) systems. In this paper, we consider 3D rainbow beam training with planar TTD arrays. We first design a planar TTD-array-based codebook that can realize a partial or complete scan of the entire 3D sphere using a single Orthogonal Frequency Division Multiplexing (OFDM) symbol. We demonstrate that a rainbow-beam codebook with a proper configuration of delays and phase shifts, and a sufficient number of subcarriers, can simultaneously probe all angular directions in the desired coverage sector with the required beamforming gain. Leveraging this full coverage codebook, we propose two frequency-domain power-based 3D beam training algorithms for fast estimation of the azimuth and elevation angles corresponding to the dominant propagation direction. The proposed algorithms take into account practical hardware-imposed delay range constraints. We numerically evaluate the performance of the proposed algorithms in mmWave channels as a function of the TTD codebook and system parameters. We show that the proposed 3D beam training offers considerable overhead reduction relative to the state-of-the-art methods with planar phased antenna arrays (PAA). © 2002-2012 IEEE.

关键词： Frequency domain analysis

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Res-MGCA-SE: a lightweight convolutional neural network based on vision transformer for medical image classification

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Neural Computing and Applications 2024年第28期36卷 17631-17644页

作者： Soleimani-Fard, Sina Ko, Seok-Bum Department of Electrical and Computer Engineering University of Saskatchewan SaskatoonSK Canada

This paper presents a lightweight and accurate convolution neural network (CNN) based on encoder in vision transformer structure, which uses multigroup convolution rather than multilayer perceptron and multiheaded self-attention. We propose a group convolution block called multigroup convolution attention (MGCA) and squeeze and excitation (SE). The MGCA includes two parts: three 1×1 convolutions concatenated along the channel dimension and depth-wise separable convolution. SE is used as a skip connection to provide long-range dependencies. MGCA-SE is introduced to reduce the number of parameters in state-of-the-art network in order to use fewer datasets for training CNN. Furthermore, we provide a lightweight network based on MGCA-SE in Resnet architecture called Resnet-multigroup convolution attention-squeeze and excitation (Res-MGCA-SE) in order to have early detection and treatment of medical images. Finally, Res-MGCA-SE is evaluated on lung cancer and Covid-19 chest X-ray and CT and images. According to our research findings, MGCA-SE can change convolutional layers in state-of-the-art networks and switch them to lightweight networks with properties comparable to heavy-weight networks. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Convolution

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