IEEE Systems Journal最新文献_第10页

Joint Uplink and Downlink Nonorthogonal Resource Allocation for URLLC in Distributed Antenna Systems 分布式天线系统中URLLC的联合上下行非正交资源分配

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-10-03 DOI: 10.1109/JSYST.2024.3464558

Yifan Zhu;Kang Li;Pengcheng Zhu;Yan Wang

{"title":"Joint Uplink and Downlink Nonorthogonal Resource Allocation for URLLC in Distributed Antenna Systems","authors":"Yifan Zhu;Kang Li;Pengcheng Zhu;Yan Wang","doi":"10.1109/JSYST.2024.3464558","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3464558","url":null,"abstract":"Ultrareliable and low-latency communications (URLLC) is expected to support mission-critical services in industrial Internet of things with its stringent quality-of-service (QoS) metrics. This demands a large consumption of spectrum resource, which is scarce and requires to be configured appropriately. To enhance spectral efficiency and mitigate latency caused by control signaling, we propose a grant-free nonorthogonal multiple access (NOMA) scheme. Packet duplication with frequency diversity (PDFD) is utilized to ensure reliability. The distributed antenna system (DAS) is deployed to further mitigate interdevice interference for URLLC in industrial automation scenarios. With the proposed scheme and antenna configuration, we jointly optimize the uplink and downlink bandwidth assignment and delay components to minimize the total spectrum consumption under the QoS requirements of end-to-end URLLC. A two-step method is then proposed to find the globally optimal solution. In addition, we expand our framework to block segmentation with independent coding mechanism for comparison with PDFD and validate the spectral efficiency superiority of PDFD. Simulation results show the spectral efficiency gain of the two-step method under our proposed schemes, indicating that NOMA integrated with DAS is superior for URLLC with massive devices.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"2121-2132"},"PeriodicalIF":4.0,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Double Event-Triggered Consensus of Positive Multiagent Systems With Disturbance Based on Proportional Integral Observers 基于比例积分观测器的扰动正多智能体系统双事件触发一致性

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-10-02 DOI: 10.1109/JSYST.2024.3460747

Junfeng Zhang;Tarek Raïssi;Fengyu Lin;Baozhu Du

引用次数: 0

Average Sparse Attention for Dense Video Captioning From Multiperspective Edge-Computing Cameras 基于多视角边缘计算相机的密集视频字幕的平均稀疏注意

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-10-02 DOI: 10.1109/JSYST.2024.3456864

Ling-Hsuan Huang;Ching-Hu Lu

引用次数: 0

Cooperative Satellite-Terrestrial Networks With Imperfect CSI and Multiple Jammers: Performance Analysis and Deep Learning Evaluation 具有不完美CSI和多个干扰器的卫星-地面合作网络：性能分析和深度学习评估

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-10-01 DOI: 10.1109/JSYST.2024.3463715

Tan N. Nguyen;Trinh Van Chien;Dinh-Hieu Tran;Bui Vu Minh;Nguyen Chi Ngon;Miroslav Voznak;Zhiguo Ding

{"title":"Cooperative Satellite-Terrestrial Networks With Imperfect CSI and Multiple Jammers: Performance Analysis and Deep Learning Evaluation","authors":"Tan N. Nguyen;Trinh Van Chien;Dinh-Hieu Tran;Bui Vu Minh;Nguyen Chi Ngon;Miroslav Voznak;Zhiguo Ding","doi":"10.1109/JSYST.2024.3463715","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3463715","url":null,"abstract":"This article introduces novel and deep learning approaches for the security analysis of a hybrid satellite-terrestrial cooperative network. More specifically, a satellite transmits information to a ground user through multiple relays in the presence of an eavesdropper. To prevent potential eavesdropping, multiple friendly jammers are employed to disrupt the reception process of the eavesdropper by artificial noise. Within this setting, we then derive the closed-form expressions of the outage probability (OP) and secrecy outage probability (SOP) of the considered system in the presence of imperfect channel state information. Important to mention is the fact that in complex systems (e.g., with multiple jammers, multiple relays, and considering the independent but nonidentically distributed Rician nature of satellite links), analytical approaches may not be effective due to their complex mathematical derivations. As such, we develop a highly effective yet low-complexity deep learning approach to estimate the OP and SOP of the system. Through extensive Monte Carlo simulations, we evaluate the OP and SOP of the system in various settings and demonstrate the effectiveness of the proposed solutions. Interestingly, the proposed deep learning method can achieve comparable performance to that of the analytical approach.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"2062-2073"},"PeriodicalIF":4.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vehicle Selection for C-V2X Mode 4-Based Federated Edge Learning Systems 基于C-V2X模式4的联邦边缘学习系统车辆选择

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-09-26 DOI: 10.1109/JSYST.2024.3459926

Xiaobo Wang;Qiong Wu;Pingyi Fan;Qiang Fan;Huiling Zhu;Jiangzhou Wang

{"title":"Vehicle Selection for C-V2X Mode 4-Based Federated Edge Learning Systems","authors":"Xiaobo Wang;Qiong Wu;Pingyi Fan;Qiang Fan;Huiling Zhu;Jiangzhou Wang","doi":"10.1109/JSYST.2024.3459926","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3459926","url":null,"abstract":"As the rise of information and communication technology, the cooperative work of vehicles has become crucial in realizing Internet of Vehicles (IoV). Federated learning (FL) is a promising technology to protect vehicles' privacy in IoV. Vehicles with limited computation capacity may face a large computational burden associated with FL. Federated edge learning (FEEL) systems are introduced to solve such a problem. In FEEL systems, vehicles adopt the cellular-vehicle to everything (C-V2X) mode 4 to upload encrypted data to road side units' (RSUs) cache queue. Then, RSUs train the data transmitted by vehicles, update the local model hyperparameters, and send back results to vehicles, thus, vehicles' computational burden can be released. However, each RSU has limited cache queue. To maintain the stability of cache queue and maximize the accuracy of model, it is essential to select appropriate vehicles to upload data. The vehicle selection method for FEEL systems faces challenges due to the random departure of data from the cache queue caused by the stochastic channel and the different system status of vehicles. This article proposes a vehicle selection method for FEEL systems that aims to maximize the accuracy of model while keeping the cache queue stable. Extensive simulation experiments demonstrate that our proposed method outperforms other baseline selection methods.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"1927-1938"},"PeriodicalIF":4.0,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IEEE Systems Council Information 电气和电子工程师学会系统理事会信息

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-09-11 DOI: 10.1109/JSYST.2024.3428029

引用次数: 0

Distributed Economic Model Predictive Load Frequency Control for the Multiarea Interconnected Power System With WTs 有风电机组的多区域互联电力系统的分布式经济模型预测性负载频率控制

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-09-11 DOI: 10.1109/JSYST.2024.3423489

Miaomiao Ma;Jing Cui;Xiangjie Liu;Kwang Y. Lee

引用次数: 0

IEEE Systems Journal Information for Authors IEEE 系统期刊作者信息

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-09-11 DOI: 10.1109/JSYST.2024.3428031

引用次数: 0

IEEE Systems Journal Publication Information IEEE 系统期刊出版信息

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-09-11 DOI: 10.1109/JSYST.2024.3427905

引用次数: 0

A Hybrid Method for Fast Rotor-Angle Stability Assessment 快速评估转子角度稳定性的混合方法

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-09-09 DOI: 10.1109/JSYST.2024.3446825

Mohamed Ramadan Younis;Reza Iravani

{"title":"A Hybrid Method for Fast Rotor-Angle Stability Assessment","authors":"Mohamed Ramadan Younis;Reza Iravani","doi":"10.1109/JSYST.2024.3446825","DOIUrl":"10.1109/JSYST.2024.3446825","url":null,"abstract":"This article proposes a novel hybrid time-domain and direct stability method for rotor-angle stability assessment, aiming to improve the efficiency of existing approaches. The proposed method enables faster detection of both small-signal and transient stability scenarios while extending the applications of the classical stability direct methods to multiswing stability analysis. Unlike the conventional direct methods that rely on the overall system energy, the proposed approach calculates the system's critical energy using the critical apparatus energies, facilitating multiswing stability analysis. Key contributions of this work include the introduction of a new metric, termed “the time to instability,” which allows for the prediction of separation or islanding areas during disturbances. Additionally, the proposed method can rank all apparatus in a power system based on their criticality during small or large disturbances. Also, a stopping condition for the time-domain simulation is provided, reducing algorithm execution time and rendering it suitable for real-time or near-real-time application of dynamic security assessment. The proposed method is tested with multiple stability scenarios and the four possible stability scenarios are presented in this article using the IEEE 16-machine 68-bus power system. The results demonstrate the high accuracy of the proposed approach in identifying the critical apparatus and assessing first- and multirotor-anglestability in power systems.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"2042-2051"},"PeriodicalIF":4.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0