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Caching for Doubly Selective Fading Channels via Model-Agnostic Meta-Reinforcement Learning 通过模型诊断元强化学习实现双选择性衰减信道缓存
IF 4 3区 计算机科学
IEEE Systems Journal Pub Date : 2024-08-22 DOI: 10.1109/JSYST.2024.3442958
Weibao He;Fasheng Zhou;Dong Tang;Fang Fang;Wei Chen
{"title":"Caching for Doubly Selective Fading Channels via Model-Agnostic Meta-Reinforcement Learning","authors":"Weibao He;Fasheng Zhou;Dong Tang;Fang Fang;Wei Chen","doi":"10.1109/JSYST.2024.3442958","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3442958","url":null,"abstract":"Edge caching is expected to alleviate the traffic consumption in next-generation communications. In this article, we consider the transmission delay in wideband communications deteriorated by rapid user movements, where the frequency-selective wideband fading channels become fast time-varying and hence \u0000<italic>doubly-selective</i>\u0000 due to the user movements. To preferably allocate the caching resource in such circumstance, we introduce a coordinated caching network and accordingly formulate an allocation problem. However, the formulated problem is shown to be NP-hard. By considering the extremely high computational complexity to solve the NP-hard problem by traditional optimization algorithm, and considering only a few samples can be obtained for each training instance due to shortened coherence-time in the dynamical doubly selective fading channels, we propose a model-agnostic meta-reinforcement learning method to address the formulated problem. Particularly, the proposed method can efficiently recognize the unstable mobile channels and accordingly cache to reduce the overall transmission delay while only requires a few training samples. Numerical simulations are performed to verify the effectiveness of the proposed method and results show that the proposed one outperforms the commonly adopted existing method of deep-deterministic-policy-gradient learning in terms of average delay and cache hit rate.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"1776-1785"},"PeriodicalIF":4.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169716","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
Cell-Free Massive MIMO-NOMA Systems With Nonreciprocal Channels: Performance Analysis and Calibration Method Design 具有非互易信道的无小区大规模 MIMO-NOMA 系统:性能分析与校准方法设计
IF 4 3区 计算机科学
IEEE Systems Journal Pub Date : 2024-08-21 DOI: 10.1109/JSYST.2024.3437769
Siyi Li;Xiaojie Fang;Heng Dong;Wei Wu;Fugang Liu;Zhuoming Li
{"title":"Cell-Free Massive MIMO-NOMA Systems With Nonreciprocal Channels: Performance Analysis and Calibration Method Design","authors":"Siyi Li;Xiaojie Fang;Heng Dong;Wei Wu;Fugang Liu;Zhuoming Li","doi":"10.1109/JSYST.2024.3437769","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3437769","url":null,"abstract":"The integration of communication technologies is regarded as a potential direction of future network. Combining cell-free massive multiple-input multiple-output (CF-mMIMO) with nonorthogonal multiple access (NOMA) can achieve substantial access and uniform coverage, but it also poses challenges on channel state information (CSI) acquisition. Although systems operating in time division duplex can approximate uplink CSI for downlink precoding design, the performance degradation resulting from nonreciprocity is still nonnegligible. This article proposes a calibration method to improve system sum rate of CF-mMIMO-NOMA with nonreciprocal channels. The proposed method exploits the impact of all access points (APs) on achievable rate to provide a prioritization and calibrates the selected APs orderly, finding an optimal compromise between pilot overhead and performance gain. The order and number of calibrated APs can be adjusted according to the parameters including coherence interval, number of users, etc. Based on the calibration method, a power allocation algorithm focusing on maximizing the minimum rate is presented. The nonconvex initial model is transformed into a standard second-order cone programming problem through slack variables for bisection solution. Simulation results validate the importance of calibration and indicate that the proposed method provides enhanced achievable rate with flexibility and adaptability.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"1729-1740"},"PeriodicalIF":4.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169673","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
Classifying Interoperability Problems in Cyber-Physical Systems: Empirical Cases From OpenWrt 网络物理系统中互操作性问题的分类:来自 OpenWrt 的经验案例
IF 4 3区 计算机科学
IEEE Systems Journal Pub Date : 2024-08-19 DOI: 10.1109/JSYST.2024.3426541
Joana L. F. P. Cardoso;Paul T. Grogan;Michael J. Pennock
{"title":"Classifying Interoperability Problems in Cyber-Physical Systems: Empirical Cases From OpenWrt","authors":"Joana L. F. P. Cardoso;Paul T. Grogan;Michael J. Pennock","doi":"10.1109/JSYST.2024.3426541","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3426541","url":null,"abstract":"Reuse of cyber-physical modules is critical to accelerate the development times and reduce design costs of cyber-physical systems (CPS). Successful module reuse depends on the ability to mitigate interoperability problems. Over the years, different communities have worked to understand and mitigate these problems leading to different interoperability models, oftentimes tied to particular domains. One important question, tackled in this article, is whether these models can help with the design of CPS. Specifically, this article evaluates a real-world example of a CPS against the levels of conceptual interoperability model (LCIM). The approach followed leverages natural language processing techniques to narrow an initial set of system changes down to a subset of problems, some of which are interoperability problems. This effort enables a comparison between the empirical evidence found and the interoperability model considered. The results obtained show that the observed interoperability problems fit well under the multilevel categories proposed by the LCIM. Furthermore, the LCIM seems to provide a complete description for the interoperability problems found, checking for fit and completeness. A significant impact of the results obtained is the enabling of more focused discussions of the key attributes of said problems and subsequent identification and assessment of the effectiveness of existing mitigation approaches.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"1658-1668"},"PeriodicalIF":4.0,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169654","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
Fine-Grained Analysis of Cache-Enabled Multiantenna Networks With Interference Nulling 利用干扰归零对支持高速缓存的多天线网络进行精细分析
IF 4.4 3区 计算机科学
IEEE Systems Journal Pub Date : 2024-08-15 DOI: 10.1109/jsyst.2024.3435687
Tianming Feng, Chenyu Wu, Xiaodong Zheng, Peilin Chen, Yilong Liu, Shuai Han
{"title":"Fine-Grained Analysis of Cache-Enabled Multiantenna Networks With Interference Nulling","authors":"Tianming Feng, Chenyu Wu, Xiaodong Zheng, Peilin Chen, Yilong Liu, Shuai Han","doi":"10.1109/jsyst.2024.3435687","DOIUrl":"https://doi.org/10.1109/jsyst.2024.3435687","url":null,"abstract":"","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"35 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142183283","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
Competition-Awareness Partial Task Offloading and UAV Deployment for Multitier Parallel Computational Internet of Vehicles 多层并行计算车联网的竞争意识部分任务卸载和无人机部署
IF 4 3区 计算机科学
IEEE Systems Journal Pub Date : 2024-08-15 DOI: 10.1109/JSYST.2024.3439746
Peng Qin;Yang Fu;Rui Ding;Haoting He
{"title":"Competition-Awareness Partial Task Offloading and UAV Deployment for Multitier Parallel Computational Internet of Vehicles","authors":"Peng Qin;Yang Fu;Rui Ding;Haoting He","doi":"10.1109/JSYST.2024.3439746","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3439746","url":null,"abstract":"Vehicular edge computing is poised to meet the requirements of emerging applications in Internet of Vehicles (IoV) by offloading computation tasks from resource-limited vehicles to edge. However, the space-time-dynamic offloading demands of vehicle users (VUs) can hardly be satisfied only by road side units (RSUs) due to their fixed resource deployment and incomplete coverage. To this end, in this article, we design a multitier IoV system, where RSU, parked cars, and unmanned aerial vehicles (UAVs) serve as edge platforms to offer computing services. To fully utilize the multitier resources, the tasks generated by VUs can be split into multiple parts and executed in parallel on local processors as well as edge servers. Under this arrangement, we formulate a joint UAV deployment and partial task offloading problem to minimize the system cost, which includes processing delay, energy consumption, and rental price. We then develop a heuristic UAV deployment method to optimize the coverage of multitier network. Moreover, a distributed task offloading approach based on multiagent deep reinforcement learning is proposed to achieve cooperative decision makings and load balancing, thereby overcoming the adversarial competition among VUs. Experimental evaluations reveal that compared to state-of-the-art schemes that rely on a centralized controller, the proposed approach achieves superior performance with higher implementation efficiency while avoiding extra information exchange overhead.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"1753-1764"},"PeriodicalIF":4.0,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169717","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
An Intelligent Secure Fault Classification and Identification Scheme for Mining Valuable Information in IIoT 用于挖掘物联网有价值信息的智能安全故障分类和识别方案
IF 4 3区 计算机科学
IEEE Systems Journal Pub Date : 2024-08-14 DOI: 10.1109/JSYST.2024.3437185
Ying Zhang;Wenyuan Zhang;Xiaoyu Jiang;Yuzhong Sun;Baiming Feng;Naixue Xiong;Tianyu Wo
{"title":"An Intelligent Secure Fault Classification and Identification Scheme for Mining Valuable Information in IIoT","authors":"Ying Zhang;Wenyuan Zhang;Xiaoyu Jiang;Yuzhong Sun;Baiming Feng;Naixue Xiong;Tianyu Wo","doi":"10.1109/JSYST.2024.3437185","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3437185","url":null,"abstract":"As a pivotal component of Industry 4.0, the Industrial Internet of Things has significantly propelled the intelligent evolution of industrial systems. However, this advancement has led to increased system complexity and scale, consequently increasing the likelihood of operational failures and potential security threats. Performing an effective analysis of log information and accurately identifying system fault categories has become a substantial challenge for system administrators. To extract valuable insights from edge device logs more efficiently and ensure system security, we propose an intelligent method for system fault detection and localization. Our approach begins with an analysis of the system's source code to extract message and fault classification templates. Subsequently, real-time preprocessing of the log stream occurs, employing techniques, such as pattern matching and statistical grouping, to construct a feature vector–matrix. The detection and identification module then discerns abnormal feature vectors, using a fast classification algorithm to categorize these anomalies and determine fault types. The proposed methodology undergoes testing on our edge cloud platform. The experimental results demonstrate that the method achieves a fault detection and localization accuracy that exceeds 98%.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"1705-1716"},"PeriodicalIF":4.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169660","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
Adaptive Reinforcement Learning for Fault-Tolerant Optimal Consensus Control of Nonlinear Canonical Multiagent Systems With Actuator Loss of Effectiveness 执行器失效情况下非线性典型多代理系统的容错优化共识控制的自适应强化学习
IF 4 3区 计算机科学
IEEE Systems Journal Pub Date : 2024-08-13 DOI: 10.1109/JSYST.2024.3433023
Boyan Zhu;Liang Zhang;Ben Niu;Ning Zhao
{"title":"Adaptive Reinforcement Learning for Fault-Tolerant Optimal Consensus Control of Nonlinear Canonical Multiagent Systems With Actuator Loss of Effectiveness","authors":"Boyan Zhu;Liang Zhang;Ben Niu;Ning Zhao","doi":"10.1109/JSYST.2024.3433023","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3433023","url":null,"abstract":"This article addresses the adaptive optimized consensus tracking control problem of nonlinear multiagent systems (MASs) via a reinforcement learning (RL) algorithm. Specifically, the nonlinear high-order MASs are formulated in a canonical form, with considerations for both actuator effectiveness loss and time-varying bias faults. First, neural networks (NNs) are utilized to approximate unknown nonlinear dynamics, and a state identifier and a fault estimator based on NNs are established, both of which are essential for evaluating state information and bias faults, respectively. Second, to achieve a high-order canonical dynamic consensus and enhance the efficiency of the consensus control strategy, a sliding-mode mechanism is employed to regulate tracking errors. Moreover, we develop an adaptive NN-based fault-tolerant optimal control method by integrating the sliding-mode mechanism with an actor–critic structured RL algorithm. It is proved that the outputs of the MASs precisely align with the desired reference signals, while ensuring the boundedness of all closed-loop signals. Finally, the proposed control methodology's effectiveness is validated through a simulation example.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"1681-1692"},"PeriodicalIF":4.0,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169659","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
Multiple Reconfigurable Intelligent Surface-Based Index Modulation With Optimal Combination 基于优化组合的多重可重构智能面基指数调制
IF 4 3区 计算机科学
IEEE Systems Journal Pub Date : 2024-08-13 DOI: 10.1109/JSYST.2024.3425866
Nadhira Azizah Suwanda;Hye Yeong Lee;Soo Young Shin
{"title":"Multiple Reconfigurable Intelligent Surface-Based Index Modulation With Optimal Combination","authors":"Nadhira Azizah Suwanda;Hye Yeong Lee;Soo Young Shin","doi":"10.1109/JSYST.2024.3425866","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3425866","url":null,"abstract":"This study proposes multiple reconfigurable intelligent surface (RIS)-based index modulation (IM), called MRB-IM, to improve channel capacity by activating one or more RISs within multiple RIS (MRIS). Generally, MRIS suffers from the secondary reflection that, in imperfect condition, can be considered as inter-RIS interference (IRI) within MRIS. On the other hand, the proposed MRB-IM has a larger capacity but less of an effect on IRI because it only happens between the active MRIS. The optimal combination algorithm is applied to select the best possible RIS combinations for the activation bits in IM. The simulation is done to support the analytical channel capacity based on mutual information and bit error rate. The results show that the proposed system offers higher capacity and a lower bit error rate compared to the conventional MRIS. The complexity of the system is mentioned as another benefit of MRB-IM.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"1651-1657"},"PeriodicalIF":4.0,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169658","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
A Roadmap to the Integration Between Systems Engineering and Circular Design to Develop Sustainable Industrial Product 系统工程与循环设计相结合开发可持续工业产品的路线图
IF 4 3区 计算机科学
IEEE Systems Journal Pub Date : 2024-08-06 DOI: 10.1109/JSYST.2024.3435025
Eugenio Brusa;Chiara Gastaldi;Cristiana Delprete;Lorenzo Giorio
{"title":"A Roadmap to the Integration Between Systems Engineering and Circular Design to Develop Sustainable Industrial Product","authors":"Eugenio Brusa;Chiara Gastaldi;Cristiana Delprete;Lorenzo Giorio","doi":"10.1109/JSYST.2024.3435025","DOIUrl":"10.1109/JSYST.2024.3435025","url":null,"abstract":"The achievement of sustainable development goals requires implementing a design approach to the industrial product development aimed to reduce waste, and to increase value, in accordance to principles of the “circular economy.” To mitigate the product obsolescence rate, the design activity aims at making the product multifunctional, its life longer and its maintainability more effective. Moreover, the product must be easily reparable, adaptable to operating conditions, friendly updatable, and reusable after decommissioning. Those targets affect the design methodology, and require some suitable tools. This article investigates how the “model-based systems engineering” is applied to the “circular design,” to provide a sustainable product life, and to regenerate the system, while decommissioning. Particularly, the direct experience of machine designer of industrial product, being the result of material processing and manufacturing, is considered. Are matter of discussion the identification of some issues related to sustainability and decommissioning, the methodologic tools useful to integrate the two approaches, the impact on the metamodeling activity, and the interoperable tool chain exploited. An industrial test case, as the automated guided vehicle, is preliminarily discussed to describe the implementation of the above-mentioned concepts and to identify any potential critical issues.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"1693-1704"},"PeriodicalIF":4.0,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932722","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
Approximate Optimal Strategy for Multiagent System Pursuit–Evasion Game 多代理系统追逐-入侵博弈的近似最优策略
IF 4 3区 计算机科学
IEEE Systems Journal Pub Date : 2024-08-02 DOI: 10.1109/JSYST.2024.3432796
Zhiqiang Xu;Dengxiu Yu;Yan-Jun Liu;Zhen Wang
{"title":"Approximate Optimal Strategy for Multiagent System Pursuit–Evasion Game","authors":"Zhiqiang Xu;Dengxiu Yu;Yan-Jun Liu;Zhen Wang","doi":"10.1109/JSYST.2024.3432796","DOIUrl":"10.1109/JSYST.2024.3432796","url":null,"abstract":"In this article, we propose an approximate optimal control strategy for a class of nonlinear multiagent system pursuit–evasion games. Herein, multiple pursuers aim to capture multiple evaders trying to evade capture. Under the competitive framework, agents not only pursue their individual goals but also consider coordination with their teammates to achieve collective objectives. However, maintaining cohesion with teammates in existing distributed control methods has always been a challenge. To enhance team coordination, we employ a graph-theoretic approach to represent the relationships between agents. Based on this, we design a dynamic target graph algorithm to enhance the coordination among pursuers. The approximate optimal strategies for each agent are solved by utilizing the Hamilton–Jacobi–Isaacs equations of the system. As solving these equations becomes computationally intensive in multiagent scenarios, we propose a value-based single network adaptive critic network architecture. In addition, we consider scenarios where the numbers of agents on both sides are inconsistent and address the phenomenon of input saturation. Moreover, we provide sufficient conditions to prove the system's stability. Finally, simulations conducted in two representative scenarios, multiple-pursuer-one-evader and multiple-pursuer-multiple-evader, demonstrate the effectiveness of our proposed algorithm.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"1669-1680"},"PeriodicalIF":4.0,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141886175","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
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