检索结果-内蒙古大学图书馆

2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Qian, Mengyu You, Li Xia, Xiang-Gen Gao, Xiqi Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Purple Mountain Laboratories Nanjing211100 China University of Delaware Department of Electrical and Computer Engineering NewarkDE19716 United States

ISBN: (纸本)9798350351255

This paper investigates multi-user uplink transmission facilitated by holographic planar arrays (HPAs). It includes channel modeling and holographic precoding aimed at maximizing system spectral efficiency (SE) in scenarios where both users and base station are equipped with HPAs. First, we develop a holographic multiple-input multiple-output (MIMO) channel model utilizing electromagnetic field equations. Subsequently, we utilize Fourier space basis functions to discretize the continuous holographic MIMO model. Based on the discretized model, we formulate the problem of maximizing the system SE and propose a corresponding iterative water-filling algorithm to tackle it. Finally, we validate the effectiveness of the proposed scheme in enhancing the system SE and investigate the influence of physical size constraints of the transmitting and receiving arrays through simulation results. © 2024 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Novel Energy Efficient Single-RF MIMO Antenna Combining Load Modulated Array and ESPAR

IEEE Open Journal of Antennas and Propagation

引用

IEEE Open Journal of Antennas and Propagation 2024年 1-1页

作者： Han, Zixiang Zhang, Yujie Jin, Jing Wang, Qixing Liu, Guangyi Future Research Laboratory China Mobile Research Institute Beijing China Department of Electrical and Computer Engineering National University of Singapore Singapore

A novel analog energy efficient single-radio-frequency (RF) architecture combining load modulated array (LMA) and electronically steerable parasitic array radiator (ESPAR) is proposed. This architecture exploits the advantage of low peak-to-average power ratio (PAPR) for power amplifier (PA) in LMA and compactness in ESPAR for constructing single-RF multiple-input multiple-output (MIMO) antennas. Therefore, it is superior to conventional MIMO in sixth-generation (6G) integrated sensing and communication (ISAC) system with orthogonal frequency division multiplexing (OFDM) scheme by reducing power consumption on RF chain and MIMO antenna size at the transmitter side. Specifically in this work, the overall system model for the proposed architecture is analyzed where far-field radiation patterns are used to transmit beamspace OFDM symbols. Based on the model, efficient optimization approaches to find the optimal load reactances that excite the required radiation patterns are provided. Simulation results on symbol correlation, PAPR, spectral efficiency (SE), energy efficiency (EE) and sensing accuracy of the proposed architecture are provided. It is shown that MIMO antenna with the proposed architecture has higher SE, EE and smaller PAPR with only minor compromise on symbol and sensing accuracy when compared to conventional MIMO antenna with same size, demonstrating the effectiveness and superiority of the proposed architecture. Authors

关键词： Radio waves

来源：评论

学校读者我要写书评

暂无评论

Optimal Reliability-Oriented MIMO-NOMA Design with Finite Blocklength

Optimal Reliability-Oriented MIMO-NOMA Design with Finite Bl...

引用

2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Zhong, Tianying Wang, Jiaheng Xia, Xiang-Gen Gao, Xiqi Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China University of Delaware Department of Electrical and Computer Engineering NewarkDE19716 United States

ISBN: (纸本)9798350351255

Non-orthogonal multiple access (NOMA) has been regarded as a promising technology for next-generation wireless networks. Most of the existing NOMA schemes are designed with the assumption of infinite blocklength (IBL), which may lead to suboptimal performance in practice. This paper investigates the reliability-oriented downlink multiple-input multiple-output (MIMO)-NOMA design with finite blocklength (FBL) transmission. Specifically, we formulate the resource allocation problem to minimize the average block error rate (BLER) of FBL-MIMO-NOMA systems. We obtain the globally optimal solutions to the problem by proposing an efficient power, rate, and blocklength allocation scheme. The superiority of our proposed design is demonstrated via simulation results. © 2024 IEEE.

关键词： Error statistics

来源：评论

学校读者我要写书评

暂无评论

Real-Time Wide Area Event Identification and Analysis in Power Grid Based on EWAMS

Real-Time Wide Area Event Identification and Analysis in Pow...

引用

2022 IEEE Industry Applications Society Annual Meeting, IAS 2022

作者： Abdelrahman, Mahmoud S. Kassem, A. Saad, Ahmed A. Mohammed, Osama A. Florida International University Energy Systems Research Laboratory Department of Electrical and Computer Engineering MiamiFL33174 United States Helwan University Faculty of Engineering Department of Electrical Engineering Cairo Egypt

ISBN: (数字)9781665478151

ISBN: (纸本)9781665478151

Event detection and classification are crucial to power system stability. The Wide Area Measurement System (WAMS) technology helps in enhancing wide area situational awareness by providing useful synchronized information to the grid control center in order to accurately identify various power system events. This paper demonstrates the viability of using EWAMS (Egyptian Wide Area Measurement System) data as one of the evolving technologies of smart grid to identify extreme events within the Egyptian power grid. The proposed scheme is based on online synchronized measurements of wide-area monitoring devices known as Frequency Disturbance Recorders (FDRs) deployed at selected substations within the grid. The FDR measures the voltage, voltage angle, and frequency at the substation and streams the processed results to the Helwan University Host Server (HUHS). Each FDR is associated with a timestamp reference to the Global Positioning System (GPS) base. An EWAMS-based frequency disturbance detection algorithm based on the rate of frequency deviation is developed to identify varies types of events such as generator trip and load shedding. Based on proper thresholding on the frequency and rate of change of frequency of the Egyptian grid, different types of events have been captured in many locations during the supervision and monitoring the operation of the grid. EWAMS historical data is used to analyze a wide range of data pre-event, during and post-event for future enhancement of situational awareness as well as decision making. © 2022 IEEE.

关键词： Electric power transmission networks

来源：评论

学校读者我要写书评

暂无评论

Deep Learning-based Explainable Approaches for RNA-Seq Gene Expression Data Analysis

Deep Learning-based Explainable Approaches for RNA-Seq Gene ...

引用

Applications of Machine Learning 2024

作者： Nasrin, Shamima Alom, Md Zahangir Khan, Simon Taha, Tarek M. Department of Electrical and Computer Engineering University of Dayton OH45469 United States St. Jude Children’s Research Hospital MemphisTN38105 United States Air Force Research Laboratory RomeNY13441 United States

ISBN: (纸本)9781510679368

Explainable Machine Learning (XML) approaches are crucial for medical information processing tasks, particularly for multi-omics data analytics. The XML system not only provides better performance but also explains the inside of the finding better. Here, we proposed an end-to-end explainable system for analyzing high dimensional RNA-seq data using an unsupervised gene selection approach and supervised methods, including Deep Neural Network (DNN), Deep Convolutional Neural Network (DCNN), Support Vector Machine (SVM), and Random Forest (RF). The proposed approaches evaluate with publicly available datasets for five different cancers and Kawasaki disease (KD) classification. The deep learning-based approaches yield the 99.62% and 99. 25% average testing accuracy for cancer and KD classification tasks. Additionally, we introduce an explainable system that demonstrates the ability to select cancer and disease-specific gene sets, which could be used for further analysis to discover the biological inside of the cancers and KD diseases. © 2024 SPIE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Dual-Propagation-Feature Fusion Enhanced Neural CSI Compression for Massive MIMO

引用

IEEE Transactions on Communications 2023年第9期71卷 5182-5198页

作者： Zhang, Shaoqing Xu, Wei Jin, Shi You, Xiaohu Ng, Derrick Wing Kwan Wang, Li-Chun Southeast University The National Mobile Communications Research Laboratory Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China University of New South Wales The School of Electrical Engineering and Telecommunications SydneyNSW2052 Australia National Yang Ming Chiao Tung University The Department of Electrical Computer Engineering Hsinchu30010 Taiwan

Due to the ability of feature extraction, deep learning (DL)-based methods have been recently applied to channel state information (CSI) compression feedback in massive multiple-input multiple-output (MIMO) systems. Existing DL-based CSI compression methods are usually effective in extracting a certain type of features in the CSI. However, the CSI usually contains two types of propagation features, i.g., non-line-of-sight (NLOS) propagation-path feature and dominant propagation-path feature, especially in channel environments with rich scatterers. To fully extract the both propagation features and learn a dual-feature representation for CSI, this paper proposes a dual-feature-fusion neural network (NN), referred to as DuffinNet. The proposed DuffinNet adopts a parallel structure with a convolutional neural network (CNN) and an attention-empowered neural network (ANN) to respectively extract different features in the CSI, and then explores their interplay by a fusion NN. Built upon this proposed DuffinNet, a new encoder-decoder framework is developed, referred to as Duffin-CsiNet, for improving the end-to-end performance of CSI compression and reconstruction. To facilitate the application of Duffin-CsiNet in practice, this paper also presents a two-stage approach for codeword quantization of the CSI feedback. Besides, a transfer learning-based strategy is introduced to improve the generalization of Duffin-CsiNet, which enables the network to be applied to new propagation environments. Simulation results illustrate that the proposed Duffin-CsiNet noticeably outperforms the existing DL-based methods in terms of reconstruction performance, encoder complexity, and network convergence, validating the effectiveness of the proposed dual-feature fusion design. © 1972-2012 IEEE.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

AQROM:A quality of service aware routing optimization mechanism based on asynchronous advantage actor-critic in software-defined networks

引用

Digital Communications and Networks 2024年第5期10卷 1405-1414页

作者： Wei Zhou Xing Jiang Qingsong Luo Bingli Guo Xiang Sun Fengyuan Sun Lingyu Meng School of Information and Communication Guilin University of Electronic TechnologyGuilin541004China The 34th Research Institute of China Electronics Technology Group Corporation Guilin541004China Guangxi Key Laboratory of Optical Network and Optical Information Security Guilin541004China State Key Laboratory of Information Photonics and Optical Communications BeijingUniversity of Posts and TelecommunicationsBeijing100876China Department of Electrical and Computer Engineering University of New MexicoAlbuquerqueNM87131USA

In Software-Defined Networks(SDNs),determining how to efficiently achieve Quality of Service(QoS)-aware routing is challenging but critical for significantly improving the performance of a network,where the metrics of QoS can be defined as,for example,average latency,packet loss ratio,and *** SDN controller can use network statistics and a Deep Reinforcement Learning(DRL)method to resolve this *** this paper,we formulate dynamic routing in an SDN as a Markov decision process and propose a DRL algorithm called the Asynchronous Advantage Actor-Critic QoS-aware Routing Optimization Mechanism(AQROM)to determine routing strategies that balance the traffic loads in the *** can improve the QoS of the network and reduce the training time via dynamic routing strategy updates;that is,the reward function can be dynamically and promptly altered based on the optimization objective regardless of the network topology and traffic *** can be considered as one-step optimization and a black-box routing mechanism in high-dimensional input and output sets for both discrete and continuous states,and actions with respect to the operations in the *** simulations were conducted using OMNeT++and the results demonstrated that AQROM 1)achieved much faster and stable convergence than the Deep Deterministic Policy Gradient(DDPG)and Advantage Actor-Critic(A2C),2)incurred a lower packet loss ratio and latency than Open Shortest Path First(OSPF),DDPG,and A2C,and 3)resulted in higher and more stable throughput than OSPF,DDPG,and A2C.

关键词： Software-defined networks Asynchronous advantage actor-critic QoS-aware routing optimization mechanism

来源：评论

学校读者我要写书评

暂无评论

Successive Pose Estimation and Beam Tracking for mmWave Vehicular Communication Systems

Successive Pose Estimation and Beam Tracking for mmWave Vehi...

引用

2023 IEEE Globecom Workshops, GC Wkshps 2023

作者： Liu, Cen Zhu, Guangxu Liu, Fan Liu, Yuanwei Huang, Kaibin National University of Singapore Department of Electrical and Computer Engineering Singapore Shenzhen Research Institute of Big Data Shenzhen China Peng Cheng Laboratory Shenzhen China Guangzhou China Southern University of Science and Technology Department of Electronic and Electrical Engineering Shenzhen China School of Electronic Engineering and Computer Science Queen Mary University of London London United Kingdom The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong

ISBN: (纸本)9798350370218

The millimeter wave (mmWave) radar sensing-aided communications in vehicular mobile communication systems is investigated. To alleviate the beam training overhead under high mobility scenarios, a successive pose estimation and beam tracking (SPEBT) scheme is proposed to facilitate mmWave communications with the assistance of mmWave radar sensing. The proposed SPEBT scheme first resorts to a Fast Conservative Filtering for Efficient and Accurate Radar odometry (Fast-CFEAR) approach to estimate the vehicle pose consisting of 2-dimensional position and yaw from radar point clouds collected by mmWave radar sensor. Then, the pose estimation information is fed into an extend Kalman filter to perform beam tracking for the line-of-sight channel. Owing to the intrinsic robustness of mmWave radar sensing, the proposed SPEBT scheme is capable of operating reliably under extreme weather/illumination conditions and large-scale global navigation satellite systems (GNSS)-denied environments. The practical deployment of the SPEBT scheme is verified through rigorous testing on a real-world sensing dataset. Simulation results demonstrate that the proposed SPEBT scheme is capable of providing precise pose estimation information and accurate beam tracking output, while reducing the proportion of beam training overhead to less than 5% averagely. © 2023 IEEE.

关键词： beam tracking extended Kalman filter millimeter wave pose estimation radar odometry Sensing-aided communications

来源：评论

学校读者我要写书评

暂无评论

Detecting lithium plating dynamics in a solid-state battery with operando X-ray computed tomography using machine learning

引用

npj Computational Materials 2023年第1期9卷 1402-1410页

作者： Ying Huang David Perlmutter Andrea Fei-Huei Su Jerome Quenum Pavel Shevchenko Dilworth Y.Parkinson Iryna V.Zenyuk Daniela Ushizima Department of Materials Science&Engineering University of California IrvineIrvineCaliforniaUSA National Fuel Cell Research Center University of California IrvineIrvineCaliforniaUSA Applied Math and Computational Research Division Lawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA Department of Chemical&Biomolecular Engineering University of California IrvineIrvineCaliforniaUSA Department of Electrical Engineering and Computer Sciences College of EngineeringUniversity of California BerkeleyBerkeleyCaliforniaUSA Advanced Photon Source Argonne National Laboratory9700 South Cass AvenueLemontIllinoisUSA Advanced Light Source Lawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA Berkeley Institute for Data Science University of California BerkeleyBerkeleyCaliforniaUSA

Operando X-ray micro-computed tomography(µCT)provides an opportunity to observe the evolution of Li structures inside pouch *** is an essential step to quantitatively analyzingµCT datasets but is challenging to achieve on operando Li-metal battery datasets due to the low X-ray attenuation of the Li metal and the sheer size of the ***,we report a computational approach,batteryNET,to train an Iterative Residual U-Net-based network to detect Li *** resulting semantic segmentation shows singular Li-related component changes,addressing diverse morphologies in the *** addition,visualizations of the dead Li are provided,including calculations about the volume and effective thickness of electrodes,deposited Li,and redeposited *** also report discoveries about the spatial relationships between these *** approach focuses on a method for analyzing battery performance,which brings insight that significantly benefits future Li-metal battery design and a semantic segmentation transferrable to other datasets.

关键词： battery lithium state

来源：评论

学校读者我要写书评

暂无评论

Elongation of skyrmions by Dzyaloshinskii-Moriya interaction in helimagnetic films

引用

Rare Metals 2022年第9期41卷 3150-3159页

作者： Ying-Ying Dai Han Wang Teng Yang Adekunle O.Adeyeye Zhi-Dong Zhang Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang110016China Department of Electrical and Computer Engineering National University of SingaporeSingapore117583Singapore Department of Physics Durham UniversityDurhamDH13LEUK

Distortion of skyrmions arouses much attention recently due to the exotic topologic al and dynamic *** the formation mechanism and dynamical behavior of the deformed skyrmions promotes practical spintronic ***,as a typical form of deformation,has been discovered both in experiments and in ***,the intrinsic mechanism is ***,the coexistence of zero-field circular and elongated skyrmions in helimagnetic films is *** elongated skyrmions,which are determined by the intrinsic Dzyaloshinskii-Moriya interaction(DMI),carry the same topological charge as the circular ones and show the skyrmion Hall *** dynamics reveal again the significant role of the intrinsic DMI playing in the skyrmion elongation.

关键词： Elongated skyrmions Dzyaloshinskii-Moriya interaction Skyrmion Hall effect Zero-field skyrmions

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：