GLOBECOM 2022 - 2022 IEEE Global Communications Conference最新文献_第8页

Federated Meta-Learning Framework for Few-shot Fault Diagnosis in Industrial IoT 面向工业物联网小故障诊断的联邦元学习框架

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001294

Jiao Chen, Jianhua Tang, Jie Chen

{"title":"Federated Meta-Learning Framework for Few-shot Fault Diagnosis in Industrial IoT","authors":"Jiao Chen, Jianhua Tang, Jie Chen","doi":"10.1109/GLOBECOM48099.2022.10001294","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001294","url":null,"abstract":"Learning-based mechanical fault diagnosis (FD) methods have been widely investigated in recent years. To overcome the shortages of centralized learning techniques from the perspective of data privacy and high communication overhead, federated learning (FL) is emerging as a promising method for FD. However, a large number of labeled fault data is required for the FL technique, which is not accessible in real-world industrial Internet-of-Things (IIoT) scenarios. To address the data scarcity challenge (i.e., few-shot), we propose a collaborative learning method that incorporates meta-learning into the federated learning framework. Specifically, our approach learns an effectively global meta-learner, which can quickly adapt to a new machine or a newly encountered fault category with just a few labeled examples and training iterations. Further, we theoretically analyze the convergence of the proposed algorithm in a non-convex setting. We conduct an extensive empirical evaluation of two real-world fault diagnosis datasets and they demonstrate that our proposed method achieves significantly faster convergence and higher accuracy, compared with the existing approaches.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134095749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Practical Dirty Paper Coding Scheme for MISO Broadcast Channels 一种实用的MISO广播信道脏纸编码方案

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001479

M. Y. Şener, R. Böhnke, Wen Xu

引用次数: 0

Relaxation-phase-based Robust Directional Modulation with Angle Estimation Error 考虑角度估计误差的松弛相位鲁棒定向调制

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001257

Jin–Zhe Xu, Qian Xu, Xin Yang, Ling Wang, Wenbin Sun

引用次数: 1

Towards Artificial Neural Network Based Intrusion Detection with Enhanced Hyperparameter Tuning 基于人工神经网络的增强超参数调优入侵检测

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000809

Andrei Nicolae Calugar, W. Meng, Haijun Zhang

引用次数: 1

Novelty Detection for Risk-based User Authentication on Mobile Devices 基于风险的移动设备用户认证的新颖性检测

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000843

M. Papaioannou, G. Zachos, G. Mantas, Jonathan Rodriguez

{"title":"Novelty Detection for Risk-based User Authentication on Mobile Devices","authors":"M. Papaioannou, G. Zachos, G. Mantas, Jonathan Rodriguez","doi":"10.1109/GLOBECOM48099.2022.10000843","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10000843","url":null,"abstract":"User authentication acts as the first line of defense verifying the identity of a mobile user, often as a prerequisite to allow access to resources in a mobile device. For several decades, user authentication was based on the “something the user knows”, known also as knowledge-based user authentication. Recent studies state that although knowledge-based user authentication has been the most popular for authenticating an individual, nowadays it is no more considered secure and convenient for the mobile user as it is imposing several limitations. These limitations stress the need for the development and implementation of more secure and usable user authentication methods. Toward this direction, user authentication based on the “something the user is” has caught the attention. This category includes authentication methods which make use of human physical characteristics (also referred to as physiological biometrics), or involuntary actions (also referred to as behavioral biometrics). In particular, risk-based user authentication based on behavioral biometrics appears to have the potential to increase mobile authentication security without sacrificing usability. In this context, we, firstly, present an overview of user authentication on mobile devices and discuss risk-based user authentication for mobile devices as a suitable approach to deal with the security vs. usability challenge. Afterwards, a set of novelty detection algorithms for risk estimation is tested and evaluated to identify the most appropriate ones for risk-based user authentication on mobile devices.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"39 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130941600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Environment-Driven Task Allocation in Heterogeneous Spatial Crowdsourcing 环境驱动的异构空间众包任务分配

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000860

Xuan Zhang, Helei Cui, Zhiwen Yu, Bin Guo

{"title":"Environment-Driven Task Allocation in Heterogeneous Spatial Crowdsourcing","authors":"Xuan Zhang, Helei Cui, Zhiwen Yu, Bin Guo","doi":"10.1109/GLOBECOM48099.2022.10000860","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10000860","url":null,"abstract":"In the era of mobile computing and sharing econ-omy, spatial crowdsourcing has become an emerging paradigm where participants who meet the spatial requirements are actively joined in various tasks. However, previous work did not fully consider the heterogeneous nature of tasks with both spatio-temporal and sensing requirements. And for the participants, they contribute different amounts and types of sensing data due to the fact that their devices usually have various sensing capabilities. In light of this, it is desired to study the task allocation problem in such a heterogeneous spatial crowdsourcing scenario. Specifically, to accommodate the dynamic and complex features of this scenario, we design a Multi-Agent Soft Actor-Critic algorithm (TA-DSAC) that relies on spatio-temporal con-straint. Firstly, we construct available task allocation regions according to the spatio-temporal characteristics of the tasks and participants, as well as the matching degree and aggregate sensing quality, and then set an agent for each region. Next, the agents are trained based on discretized Soft Actor-Critic (SAC) and Centralized Training with Decentralized Execution (CTDE), making the agents self-adaptive to changes in this crowdsourcing environment. Extensive evaluations with real datasets justify the effectiveness of our proposed algorithm.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132162901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Multi-Sample Discrete-Phase BCJR Algorithm for Phase Noise Channels 相位噪声信道的多样本离散相位BCJR算法

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001274

Barbara Ripani, Andrea Modenini, G. Montorsi

引用次数: 0

Efficient Phase Control Determination by Codebook without CSI for Standalone IRS Realization 在独立IRS实现中，无CSI的码本有效相位控制测定

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001161

Ryuhei Hibi, Y. Kawamoto, Nei Kato

{"title":"Efficient Phase Control Determination by Codebook without CSI for Standalone IRS Realization","authors":"Ryuhei Hibi, Y. Kawamoto, Nei Kato","doi":"10.1109/GLOBECOM48099.2022.10001161","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001161","url":null,"abstract":"Intelligent Reflecting Surfaces (IRS) have attracted attention in recent years as devices that can improve communication quality by controlling the propagation environment that was originally given to them, and their use in future communications is highly anticipated. This study focuses on Standalone-IRS (SA- IRS), a device that can autonomously estimate and control its environment. SA-IRS is independent of existing communication systems and has the ability to collect the necessary information to exert control by itself. Therefore, it does not need to be connected to other devices for control, and is expected to be used as a low- installation-cost device for improving the propagation environment for small-scale communications, such as in factories using local 5G. Basically, the control of IRSs requires Channel State Information (CSI) to understand the propagation environment. However, because an IRS is a passive device that cannot transmit or receive information, CSI estimated from the difference of transmitted and received signals is not available for SA-IRS. This motivated us to propose an SA-IRS codebook that links IRS control to user location information to control IRS without CSI. In addition, because of the overhead involved in calculating the linked IRS control, which is an element of the SA-IRS codebook, we propose an efficient SA-IRS codebook construction method. The objective of this research is to efficiently control SA-IRS, which is an IRS with low installation cost, and to ensure high communication quality by using the above-mentioned proposed method. Simulations are also conducted to evaluate the effectiveness of the proposed method.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132661768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Learning Assisted Adaptive mmWave Beam Tracking: A Sum-Probability Oriented Methodology 深度学习辅助的自适应毫米波波束跟踪:一种面向和概率的方法

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001216

Ke Ma, Haoming Zou, Chen Sun, Zhaocheng Wang

引用次数: 1

vNetRadar: Lightweight and Network-Wide Traffic Measurement in Virtual Networks vNetRadar:虚拟网络中的轻量级和全网流量测量

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000703

Tie Ma, Jin Zhang, Long Luo, Hongfang Yu, Gang Sun, Jian Sun

{"title":"vNetRadar: Lightweight and Network-Wide Traffic Measurement in Virtual Networks","authors":"Tie Ma, Jin Zhang, Long Luo, Hongfang Yu, Gang Sun, Jian Sun","doi":"10.1109/GLOBECOM48099.2022.10000703","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10000703","url":null,"abstract":"Measuring traffic metrics is indispensable in virtual networks as it is the basis for a wide range of applications, such as network diagnostics and performance evaluation of the network algorithms. However, existing measurement schemes fail to have all these excellent characteristics simultaneously: 1) fine-grained, i.e. to obtain per packet level information. 2) lightweight, namely low CPU and bandwidth overhead. 3) network-wide, which means obtaining metrics of the whole network, e.g. per packet path. 4) easy-to-deploy, which refers to deployment without additional modification of Maximum Transmission Units (MTUs). We design vNetRadar, a virtual network measurement system, which has these excellent characteristics simultaneously. Specifically, vNetRadar 1) identifies each packet without increasing the size of each packet, to obtain network-wide metrics without MTU modification, 2) allocates each packet an area in memory, called backpack, and carries metadata in it to largely reduce bandwidth overhead. vNetRadar is implemented based on the extended Berkeley Packet Filter (eBPF) and is mainly in kernel space, avoiding the CPU overhead of copying packets to user space when performing the fine-grained measurement. Evaluation results show that the easy-to-deploy vNetRadar can get fine-grained network-wide metrics with low CPU and bandwidth overhead.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133177978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0