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A Highly Efficient Algorithm for Phased-Array mmWave Massive MIMO Beamforming

computers, Materials & Continua 2021年第10期69卷 679-694页

作者： Ayman Abdulhadi Althuwayb Fazirulhisyam Hashim Jiun Terng Liew Imran Khan Jeong Woo Lee Emmanuel Ampoma Affum Abdeldjalil Ouahabi Sébastien Jacques Department of Electrical Engineering Jouf UniversitySakakaAljouf72388Kingdom of Saudi Arabia Department of Computer and Communication Systems Engineering Faculty of EngineeringUniversiti Putra Malaysia(UPM)Serdang43400Malaysia Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan School of Electrical and Electronics Engineering Chung-Ang UniversitySeoul06974Korea Electrical and Electronic Department Kwame Nkrumah University of Science and TechnologyKumasiGhana UMR 1253 iBrainUniversitéde ToursINSERMToursFrance LIMPAF Laboratory Department of Computer ScienceUniversity of BouiraBouira10000Algeria University of Tours(France) GREMAN UMR 7347CNRSINSA Centre Val-de-LoireTours37100France

With the rapid development of the mobile internet and the internet of things(IoT),the fifth generation(5G)mobile communication system is seeing explosive growth in data *** addition,low-frequency spectrum resources are becoming increasingly scarce and there is now an urgent need to switch to higher frequency *** wave(mmWave)technology has several outstanding features—it is one of the most well-known 5G technologies and has the capacity to fulfil many of the requirements of future wireless ***,it has an abundant resource spectrum,which can significantly increase the communication rate of a mobile communication *** such,it is now considered a key technology for future mobile *** communication technology also has a more open network architecture;it can deliver varied services and be applied in many *** contrast,traditional,all-digital precoding systems have the drawbacks of high computational complexity and higher power *** paper examines the implementation of a new hybrid precoding system that significantly reduces both calculational complexity and energy *** primary idea is to generate several sub-channels with equal gain by dividing the channel by the geometric mean decomposition(GMD).In this process,the objective function of the spectral efficiency is derived,then the basic tracking principle and least square(LS)techniques are deployed to design the proposed hybrid *** results show that the proposed algorithm significantly improves system performance and reduces computational complexity by more than 45%compared to traditional algorithms.

关键词： 5G mmWave phased array algorithm antenna beamforming

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Deep Reinforcement Learning-Based Optimal Parameter Design of Power Converters

Deep Reinforcement Learning-Based Optimal Parameter Design o...

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International Conference on Computing, Networking and Communications (ICNC)

作者： Van-Hai Bui Fangyuan Chang Wencong Su Mengqi Wang Yi Lu Murphey Felipe Leno Da Silva Can Huang Lingxiao Xue Ruben Glatt Department of Electrical and Computer Engineering College of Engineering and Computer Science University of Michigan-Dearborn Dearborn MI USA Department of Electrical Engineering State University of New York (SUNY)-Maritime College Throggs Neck NY USA Lawrence Livermore National Laboratory (LLNL) Livermore CA USA> Oak Ridge National Laboratory (ORNL) Oak Ridge TN USA

The optimal design of power converters often requires a long time to process with a huge number of simulations to determine the optimal parameters. To reduce the design cycle, this paper proposes a proximal policy optimization (PPO)-based model to optimize the design parameters for Buck and Boost converters. In each training step, the learning agent carries out an action that adjusts the value of the design parameters and interacts with a dynamic Simulink model. The simulation provides feedback on power efficiency and helps the learning agent in optimizing parameter design. Unlike deep Q-learning and standard actor-critic algorithms, PPO includes a clipped objective function and the function avoids the new policy from changing too far from the oldpolicy. This allows the proposed model to accelerate and stabilize the learning process. Finally, to show the effectiveness of the proposed method, the performance of different optimization algorithms is compared on two popular power converter topologies.

关键词： Training Q-learning Software packages Network topology Heuristic algorithms Linear programming Topology

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FPGA-Based FDNE Models for the Accurate Real-Time Simulation of Power Systems in Aircrafts

FPGA-Based FDNE Models for the Accurate Real-Time Simulation...

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International Conference on Renewable Energy Research and Applications (ICRERA)

作者： Fahimeh Hajizadeh Loïc Alavoine Tarek Ould-Bachir Frédéric Sirois Jean Pierre David Department of Electrical Engineering Polytechnique Montréal Montreal QC Canada Department of Computer and Software Engineering MOTCE Laboratory Polytechnique Montréal Montreal QC Canada

The advancements in aircraft technology, particularly the increased electrification of aircraft, have introduced complexities in designing and integrating electrical systems. Hardware-in-the-loop (HIL) simulation is recognized as a crucial tool in the aerospace industry, utilizing Field-Programmable Gate Arrays (FPGAs) for their high-speed data processing and low latency. This paper presents a method for accurate real-time simulation of cable harnesses in modern aircrafts, employing Frequency-Dependent Network Equivalent (FDNE) models and FPGAs. The implementation methodology and results of the FPGA-based HIL simulation are presented and discussed. Various equivalent models with different data types are evaluated to determine achievable time-step and resource consumption. Results show the effectiveness of the proposed method in achieving sub-microsecond time-step.

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Free-space beam shaping and steering based on a silicon optical phased array

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Photonics Research 2023年第12期11卷 2093-2099页

作者： WENBO REN QINGQING LIANG JIJUN FENG HAIPENG LIU JIANHUA HU SHUO YUAN XINCHENG XIA WEI JIANG QIWEN ZHAN HEPING ZENG Shanghai Key Laboratory of Modern Optical System Engineering Research Center of Optical Instrument and System(Ministry of Education)School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China Chongqing Key Laboratory of Precision Optics Chongqing Institute of East China Normal UniversityChongqing 401120China State Key Laboratory of Precision Spectroscopy East China Normal UniversityShanghai 200241China

In this study,we present a method for free-space beam shaping and steering based on a silicon optical phased array,which addresses the theoretical limitation of traditional bulk *** theoretically analyze the beam propagation properties with changes in the applied *** beam profiles can be shaped by varying the phase combination,while a high-order quasi-Bessel beam can be generated with a cubic change to the phase *** simulated results are validated further experimentally,and they match one another *** steering can be achieved with a field of view as large as 140°,which has potential benefits for practical *** presented method is expected to have broad application prospects for optical communications,free-space optical interconnects,and light detection and ranging.

关键词： optical beam optics

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RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction

arXiv

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arXiv 2024年

作者： Wang, Xiucheng Tao, Keda Cheng, Nan Yin, Zhisheng Li, Zan Zhang, Yuan Shen, Xuemin State Key Laboratory of ISN School of Telecommunications Engineering Xidian University Xi’an710071 China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu610054 China Department of Electrical and Computer Engineering University of Waterloo WaterlooN2L 3G1 Canada

Radio map (RM) is a promising technology that can obtain pathloss based on only location, which is significant for 6G network applications to reduce the communication costs for pathloss estimation. However, the construction of RM in traditional is either computationally intensive or depends on costly sampling-based pathloss measurements. Although the neural network (NN)-based method can efficiently construct the RM without sampling, its performance is still suboptimal. This is primarily due to the misalignment between the generative characteristics of the RM construction problem and the discrimination modeling exploited by existing NN-based methods. Thus, to enhance RM construction performance, in this paper, the sampling-free RM construction is modeled as a conditional generative problem, where a denoised diffusion-based method, named RadioDiff, is proposed to achieve high-quality RM construction. In addition, to enhance the diffusion model’s capability of extracting features from dynamic environments, an attention U-Net with an adaptive fast Fourier transform module is employed as the backbone network to improve the dynamic environmental features extracting capability. Meanwhile, the decoupled diffusion model is utilized to further enhance the construction performance of RMs. Moreover, a comprehensive theoretical analysis of why the RM construction is a generative problem is provided for the first time, from both perspectives of data features and NN training methods. Experimental results show that the proposed RadioDiff achieves state-of-the-art performance in all three metrics of accuracy, structural similarity, and peak signal-to-noise ratio. The code is available at https://***/UNIC-Lab/RadioDiff. Copyright © 2024, The Authors. All rights reserved.

关键词： Signal to noise ratio

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Dual-domain Defenses for Byzantine-resilient Decentralized Resource Allocation

arXiv

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arXiv 2023年

作者： Wang, Runhua Ling, Qing Tian, Zhi The School of Computer Science and Engineering The Guangdong Provincial Key Laboratory of Computational Science Sun Yat-Sen University Guangdong Guangzhou510006 China The Department of Electrical and Computer Engineering George Mason University FairfaxVA22030 United States

This paper investigates the problem of decentralized resource allocation in the presence of Byzantine attacks. Such attacks occur when an unknown number of malicious agents send random or carefully crafted messages to their neighbors, aiming to prevent the honest agents from reaching the optimal resource allocation strategy. We characterize these malicious behaviors with the classical Byzantine attacks model, and propose a class of Byzantine-resilient decentralized resource allocation algorithms augmented with dual-domain defenses. The honest agents receive messages containing the (possibly malicious) dual variables from their neighbors at each iteration, and filter these messages with robust aggregation rules. Theoretically, we prove that the proposed algorithms can converge to neighborhoods of the optimal resource allocation strategy, given that the robust aggregation rules are properly designed. Numerical experiments are conducted to corroborate the theoretical results. Copyright © 2023, The Authors. All rights reserved.

关键词： Decentralized control

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Resilient Event-Triggered Distributed Resource Allocation for Multi-agent Systems Under DoS Attacks 5th

Resilient Event-Triggered Distributed Resource Allocation fo...

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5th China Conference on Intelligent Networked Things, CINT 2022

作者： Cai, Xin Xiao, Feng Wei, Bo State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China School of Electrical Engineering Xinjiang University Urumqi830047 China

ISBN: (纸本)9789811989148

This paper presents a resilient event-triggered distributed algorithm for resource allocation of multi-agent systems under denial-of-service (DoS) attacks. A class of time-sequence-based and aperiodic DoS attacks exists in communication networks. A resilient event-triggered communication scheme is designed to determine when agents communicate with neighbors on the network in the presence of DoS attacks. An explicit condition in terms of the frequency and duration of DoS attacks is obtained to ensure the convergence of the designed resilient algorithm to the optimal allocation. Simulation results are given to validate the proposed method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Denial-of-service attack

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Integrated microcomb with broadband tunable normal and anomalous dispersion

Integrated microcomb with broadband tunable normal and anoma...

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2023 Optica Nonlinear Optics Topical Meeting, NLO 2023

作者： Ji, Qing-Xin Jin, Warren Guo, Joel Wu, Lue Liu, Peng Feshali, Avi Paniccia, Mario Bowers, John Vahala, Kerry T. J. Watson Laboratory of Applied Physics California Institute of Technology PasadenaCA91125 United States Department of Electrical and Computer Engineering University of California Santa Barbara Santa BarbaraCA93106 United States Anello Photonics Santa ClaraCA United States

ISBN: (纸本)9781957171234

Broadband dispersion tuning (3.9 THz) with only modest resonant frequency tuning (20 GHz) is demonstrated in vernier-coupled optical resonators. Tuning from bright to dark-pulse comb states is demonstrated using a fixed-wavelength hybridly-integrated semiconductor laser pump. Optica Nonlinear Optics Topical Meeting 2023 © Optica Publishing Group 2023 © 2023 The Author(s)

关键词： Optical pumping

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Multi-dimensional classification via stacked dependency exploitation

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Science China(Information Sciences) 2020年第12期63卷 104-117页

作者： Bin-Bin JIA Min-Ling ZHANG School of Computer Science and Engineering Southeast University College of Electrical and Information Engineering Lanzhou University of Technology Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of EducationChina Collaborative Innovation Center of Wireless Communications Technology

Multi-dimensional classification(MDC) aims to build classification models for multiple heterogenous class spaces simultaneously, where each class space characterizes the semantics of an object w.r.t. one specific dimension. Modeling dependencies among class spaces plays a key role in solving MDC tasks, where most approaches work by assuming directed acyclic graph(DAG) structure or random chaining structure over class spaces. Different from existing probabilistic strategies, a deterministic strategy named Seem for dependency modeling is proposed in this paper via stacked dependency exploitation. In the first-level, pairwise dependencies are considered which can be modeled more reliably than modeling full dependencies among all class spaces by DAG or chaining structure. In the second-level, the class label of unseen instance *** class space is determined by adaptively stacking predictive outputs from first-level pairwise *** results show that stacked dependency exploitation leads to superior performance against stateof-the-art MDC approaches.

关键词： machine learning multi-dimensional classification class dependencies deterministic strategy stacked dependency exploitation

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NiO Junction Termination Extension for Ga2O3Devices: High Blocking Field, Low Capacitance, and Fast Switching Speed 35

NiO Junction Termination Extension for Ga2O3Devices: High Bl...

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35th International Symposium on Power Semiconductor Devices and ICs, ISPSD 2023

作者： Xiao, Ming Wang, Boyan Zhang, Ruizhe Song, Qihao Spencer, Joseph Du, Zhonghao Qin, Yuan Sasaki, Kohei Wang, Han Tadjer, Marko Zhang, Yuhao Center for Power Electronics Systems Virginia Tech Blacksburg United States U.S. Naval Research Laboratory WashingtonDC United States University of Southern California Department of Electrical and Computer Engineering Los Angeles United States Novel Crystal Technology Inc. Saitama Japan

ISBN: (纸本)9798350396829

This work investigates the blocking electric field, capacitance, and switching speed of the p-type NiO based junction termination extension (JTE) for vertical Ga2O3 devices. The JTE comprises multiple NiO layers sputtered on the surface of Ga2O3 drift region, the acceptor concentration and length of which are carefully optimized. This NiO JTE enabled a breakdown voltage over 3 kV in vertical Ga2O3 diodes with a parallel-plate junction field of 4.2 MV/cm. Large-area Ga2O3 p-n diodes with a current over 1 A were fabricated to evaluate the JTE's capacitance and switching characteristics. The JTE accounts for only, 11 % of the junction capacitance of this 1 A diode, and the percentage is expected to be even smaller for higher-current diodes. The turn-ON/OFF speed and reverse recovery time of the diode are comparable to commercial SiC Schottky barrier diodes. These results show the good promise of NiO JTE as an effective edge termination for Ga2O3 power devices. © 2023 IEEE.

关键词： Nickel oxide

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