IEEE Open Journal of the Communications Society最新文献

Toward a Time-Bounded Solution for Real-Time Latency Prediction in Dynamic 5G Communication 动态5G通信中实时时延预测的有时限解决方案

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-04-21 DOI: 10.1109/OJCOMS.2025.3562726

Andrea Nota;Lisa Maile;Selma Saidi

{"title":"Toward a Time-Bounded Solution for Real-Time Latency Prediction in Dynamic 5G Communication","authors":"Andrea Nota;Lisa Maile;Selma Saidi","doi":"10.1109/OJCOMS.2025.3562726","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3562726","url":null,"abstract":"The growing adoption of safety-critical applications in domains such as Industry 4.0 and autonomous driving places strict latency requirements on Fifth Generation (5G) wireless networks. Existing approaches typically rely on latency measurements, detecting violations only after they occur, or on pre-planned network configurations, which are impractical in highly dynamic environments such as mobile device communication. In this work, we propose a proactive analytical approach for predicting Worst-Case Latencies (WCLs) in 5G networks before violations occur. Our method derives upper bounds on latency analytically, ensuring both explainability and computational efficiency. Additionally, we introduce the concept of a Validity Interval (VI), which quantifies how long a latency prediction remains valid. We extensively evaluate our solution in synthetic and realistic simulations to define the impact of key parameters of our new model on global pessimism, computational overhead, and accuracy. Our results show that with complete knowledge of future channel conditions, our analytical model can consistently upper-bound the simulated worst-case latencies. Even with limited knowledge about future channel conditions, using state-of-the-art forecasting methods, our approach still bounds 99.8% of actual latencies, demonstrating its robustness. With this, our works demonstrate that future 5G networks can enable safe and reliable real-time applications even in highly dynamic environments.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"3853-3867"},"PeriodicalIF":6.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10971387","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Source Localization via Doppler Shifts Using Mobile Sensors in ICNets Within Industry 5.0 在工业 5.0 中利用 IC 网络中的移动传感器通过多普勒频移进行源定位

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-04-21 DOI: 10.1109/OJCOMS.2025.3526925

Lina Wang;Xiaoting Mao;Kai Fang;Ali Kashif Bashir;Marwan Omar;Xiaoping Wu;Wei Wang

{"title":"Source Localization via Doppler Shifts Using Mobile Sensors in ICNets Within Industry 5.0","authors":"Lina Wang;Xiaoting Mao;Kai Fang;Ali Kashif Bashir;Marwan Omar;Xiaoping Wu;Wei Wang","doi":"10.1109/OJCOMS.2025.3526925","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3526925","url":null,"abstract":"Source localization plays a significant role in industrial 5.0 applications by availing of the communication networks. For the industrial communication networks (ICNets), Doppler shifts can be measured inexpensively by equipping with some mobile sensors. This paper investigates the localization problem of an unknown source using only Doppler shift (DS) when the signal carrier frequency is unavailable. To deal with the DS-only localization under unknown knowledge of carrier frequency, we first propose a semidefinite programming (SDP) solution by applying the convex relaxation technique. The complexity of the SDP solution is high. We also propose a closed-form solution for estimating both the source position and the carrier frequency. Using the weighted least squares (WLS) method, the closed-form solution is segmented into two stages. A bias-compensated scheme is incorporated to reduce the bias of the estimates in the stage-one WLS solution. Subsequently, the root mean square error (RMSE) performance is improved in the stage-two WLS solution, and we design the bias-compensated two-stage WLS (BCTSWLS) solution. Experiments have demonstrated that, compared to traditional localization methods with known carrier frequency, our approach–utilizing SDP and BCTSWLS–effectively solves the localization problem in high-noise environments. This results in greater robustness and accuracy in practical industrial applications. Specifically, in scenarios with fewer sensors or unknown signal frequency, our method effectively reduces bias, achieving accuracy levels close to the Cramér-Rao Lower Bound (CRLB), thereby demonstrating significant performance advantages.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"3429-3442"},"PeriodicalIF":6.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10974419","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Unavailability in Middleboxes With Multiple Backup Servers Under Shared Protection 多台备份服务器共享保护的中间件不可用性分析

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-04-18 DOI: 10.1109/OJCOMS.2025.3562234

Naohide Wakuda;Ryuta Shiraki;Eiji Oki

{"title":"Analysis of Unavailability in Middleboxes With Multiple Backup Servers Under Shared Protection","authors":"Naohide Wakuda;Ryuta Shiraki;Eiji Oki","doi":"10.1109/OJCOMS.2025.3562234","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3562234","url":null,"abstract":"Middlebox functions, implemented as software on general-purpose servers via network function virtualization, require reliable protection mechanisms to ensure service continuity. Assessing the unavailability of these functions is critical, as failures can lead to significant service disruptions. However, existing analytical models primarily assume that a function is protected by at most one or two backup servers, limiting their applicability in scenarios requiring higher resilience. To address this limitation, this paper proposes an analytical model for evaluating the unavailability of middlebox functions under a multiple-backup shared protection strategy, where multiple backup servers protect one or more functions. Our model allows each function to be protected by multiple backup servers, ensuring availability while ensuring that each backup server can simultaneously recover at most one function. Utilizing a Markov chain, we analyze state transitions and establish equilibrium-state equations, providing an analytical foundation for evaluating the performance of the multiple-backup shared protection strategy. Numerical results demonstrate that this strategy significantly enhances availability, reducing unavailability by up to 72.3% compared to the single-backup shared protection strategy in the scenarios examined. Our study provides a detailed analysis of backup allocation strategies, focusing on their impact on function availability and offering more profound insights into their effectiveness through theoretical properties and performance comparisons with existing strategies. Our evaluation reveals that the multiple-backup shared protection strategy reduces unavailability by up to 64.8% compared to the single-backup shared protection strategy in the examined allocation cases.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"3868-3881"},"PeriodicalIF":6.3,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10970014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Overview of Performance Analysis and Optimization in Coexisting Satellites and Future Terrestrial Networks 共存卫星与未来地面网络性能分析与优化综述

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-04-18 DOI: 10.1109/OJCOMS.2025.3562152

Sirine Ben Ati;Hayssam Dahrouj;Mohamed-Slim Alouini

{"title":"An Overview of Performance Analysis and Optimization in Coexisting Satellites and Future Terrestrial Networks","authors":"Sirine Ben Ati;Hayssam Dahrouj;Mohamed-Slim Alouini","doi":"10.1109/OJCOMS.2025.3562152","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3562152","url":null,"abstract":"The existing radio frequency band is overcrowded and will soon be unable to accommodate the growing demand for greater data rate services. Consequently, considerable efforts are being undertaken to develop adaptable spectrum-sharing techniques and handle the unprecedented data traffic demands. Using satellite services to enhance terrestrial communications is emerging as a cutting-edge solution for future application-aware networks. The coexistence of space and ground communications infrastructures, however, introduces exacerbated levels of wireless interference. Hence, intelligent resource allocation strategies are essential to ensure dependable communication and high-capacity broadband access globally. To this end, this manuscript surveys the advances in optimization and performance analysis methods in coexisting satellites networks and future wireless systems. The paper first presents an overview of the existing papers related to the more general scope of space-air-ground communications. The survey then highlights optimization frameworks for coexisting satellites and sixth-generation communication systems (6G), focusing on maximizing sum rate, maximizing energy efficiency,and minimizing transmit power. Additionally, the survey presents a number of papers dealing with performance analysis, namely outage probability, ergodic capacity, average symbol error rate, and effective capacity. The paper further discusses the critical challenges imposed by such integrated systems, e.g., backhaul-access cross-interference, resource coordination, channel modeling, and algorithmic complexity. Finally, we identify several open research issues, e.g., a cognitive radio approach to the considered network, integrated backhaul-access system, integration with emerging disruptive systems, artificial intelligence, and quantum communication technologies for coexisting satellites and future terrestrial networks.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"3834-3852"},"PeriodicalIF":6.3,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10970079","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Matching Game for LLM Layer Deployment in Heterogeneous Edge Networks 异构边缘网络中LLM层部署的匹配博弈

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-04-16 DOI: 10.1109/OJCOMS.2025.3561605

Benedetta Picano;Dinh Thai Hoang;Diep N. Nguyen

{"title":"A Matching Game for LLM Layer Deployment in Heterogeneous Edge Networks","authors":"Benedetta Picano;Dinh Thai Hoang;Diep N. Nguyen","doi":"10.1109/OJCOMS.2025.3561605","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3561605","url":null,"abstract":"With the growing demand for computational and storage capabilities of modern learning models, performing their computation exclusively in a centralized manner has become increasingly impractical. Executing the inference of foundation models in a distributed manner presents significant challenges, particularly in optimizing both computing and communication resources. This work introduces a novel deployment scheme for large language model (LLM) layers that jointly considers computation and communication efficiency within an edge network environment to address these issues. Specifically, we resort to the matching theory to effectively orchestrate the distributed deployment of the LLM layers across the edge nodes of the networks, where nodes have varying computational capacities and communication speed. This framework is based on a two-sided game, enabling each layer to express its individual preferences for node allocation while allowing nodes to prioritize their preferred layers. This mutual selection process minimizes inference latency in the learning process and models the bubble time as game externalities, assuming a sequential pipeline execution. The algorithmic solution reaches a stable matching outcome. Performance evaluation was conducted considering both simulations and a small-scale testbed to measure the effectiveness of the proposed algorithm compared to state-of-the-art alternatives. In particular, the small-scale testbed was developed to distribute an LLM to support autonomous driving, leveraging the vision-language model paradigm. The results highlight performance improvements of up to around 10% in comparison to the Koklata game alternative.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"3795-3805"},"PeriodicalIF":6.3,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10966456","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ML-Aided Dynamic BSR Periodicity Adjustment for Enhanced UL Scheduling in Cellular Systems 基于ml的蜂窝系统增强型UL调度动态BSR周期调整

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-04-15 DOI: 10.1109/OJCOMS.2025.3561002

Nadezhda Chukhno;Salwa Saafi;Sergey Andreev

{"title":"ML-Aided Dynamic BSR Periodicity Adjustment for Enhanced UL Scheduling in Cellular Systems","authors":"Nadezhda Chukhno;Salwa Saafi;Sergey Andreev","doi":"10.1109/OJCOMS.2025.3561002","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3561002","url":null,"abstract":"Contemporary research has revealed a limitation in the Uplink (UL) Buffer Status Report (BSR) scheduling procedure – its reliance on outdated information. In addition, a significant limitation in current BSR implementations lies in their inflexibility. The 3rd Generation Partnership Project (3GPP) specifications constrain BSR periodicities to certain quantized values based on Quality of Service (QoS) requirements for various applications. For instance, applications demanding low latency may require very small BSR periodicities, resulting in substantial overhead due to frequent BSR reports. This may result in the wastage of network resources in case of a low BSR periodicity setting. Alternatively, a high BSR periodicity setting may lead packets to wait more at the user buffer and thus result in higher packet latencies. To address these limitations, we propose a framework that predicts time intervals between packet arrivals and subsequently adjusts the BSR periodicity according to the predicted traffic arrivals. The simulation results demonstrate that the proposed Machine Learning (ML)-aided BSR reporting provides flexibility in BSR periodicity adapted to the intensity of traffic arrival and converges to optimal periodicity depending on the mean traffic arrival rate.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"3513-3527"},"PeriodicalIF":6.3,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10965763","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

THz Connect: Energy-Efficient 6G Small Cells With Fuzzy Power Control and Advanced Clustering 太赫兹连接：具有模糊功率控制和先进集群的节能6G小蜂窝

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-04-15 DOI: 10.1109/OJCOMS.2025.3561014

Preksha Jain;Akhil Gupta;Nitin Rakesh;Rashmi Sharma;Manas Ranjan Pradhan

{"title":"THz Connect: Energy-Efficient 6G Small Cells With Fuzzy Power Control and Advanced Clustering","authors":"Preksha Jain;Akhil Gupta;Nitin Rakesh;Rashmi Sharma;Manas Ranjan Pradhan","doi":"10.1109/OJCOMS.2025.3561014","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3561014","url":null,"abstract":"The increasing number of users in 6G networks requires more base stations. Mobile small cell BSs solve this but complicate the power allocation and clustering, which becomes even more challenging with a dynamic system topology as the user density increases. Computational Intelligence-based systems can support addressing this problem via the learning-based mechanism for making near-optimal decisions. In this paper, we combine mobile BS, THz communication, massive multiple input multiple outputs (mMIMO), non-orthogonal multiple access (NOMA), and device-to-device (D2D) technologies in a 6G HetNet environment. We propose a power allocation and clustering scheme to maximize the sum rate of the proposed 6G mobile small cell system. First, we propose a green 6G mobile small-cell model with the help of THz, NOMA, and D2D. Then, a novel fuzzy logic system that exploits channel gains to design optimum power allocation in NOMA is proposed. Further, we propose an advanced clustering scheme that effectively integrates user device energy, proximity, and antenna parameters to reduce interference and enhance the energy efficiency of MSBS.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"3882-3891"},"PeriodicalIF":6.3,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10965731","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Online Charger-Placement Algorithm for Sustainable Energy-Harvesting Wireless Sensor Networks 可持续能量收集无线传感器网络的在线充电器放置算法

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-04-14 DOI: 10.1109/OJCOMS.2025.3560310

Ammar M. Gharaibeh;Osamah S. Badarneh;Mustafa K. Alshawaqfeh;Fares S. Almehmadi

{"title":"Online Charger-Placement Algorithm for Sustainable Energy-Harvesting Wireless Sensor Networks","authors":"Ammar M. Gharaibeh;Osamah S. Badarneh;Mustafa K. Alshawaqfeh;Fares S. Almehmadi","doi":"10.1109/OJCOMS.2025.3560310","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3560310","url":null,"abstract":"Energy Harvesting (EH) is envisioned as one of the potential solutions for a sustainable Wireless Sensor Networks, addressing the challenges of the scarcity of energy resources. In EH, the sensors replenish their batteries from a wireless signal received from a charging station, thus prolonging the network’s lifetime. In this paper, we investigate the strategic placement of the charging stations. This paper primarily contributes by proposing an online algorithm for strategic placement of charging stations, a critical challenge when future charging requests from sensors are unknown. The problem is initially formulated as an Integer Linear Program (ILP) that minimizes a cost function related to the average charging time of the sensor nodes. It is shown analytically that the online algorithm achieves a competitive ratio of <inline-formula> <tex-math>$mathcal {O}(log (J)log (I))$ </tex-math></inline-formula>, with a probability of success of <inline-formula> <tex-math>$1 - {}frac {1}{J}$ </tex-math></inline-formula>, where J is the number of sensors, and I is the number of charging stations. Simulation results show the ILP achieves at least 40% increase in the total harvested energy while reducing the total costs by at least 12% when compared to fixed deployment of the charging stations at the center of the network, as well as certain scenarios where the online algorithm outperforms the fixed deployment in all metrics.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"3502-3512"},"PeriodicalIF":6.3,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10964260","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Attenuation Modeling Using Physics Guided Deep Reinforcement Learning: A Channel Estimation Use Case 衰减建模使用物理引导深度强化学习：一个信道估计用例

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-04-14 DOI: 10.1109/OJCOMS.2025.3560319

P. Mithillesh Kumar;M. Supriya

引用次数: 0

Future of Connectivity: A Comprehensive Review of Innovations and Challenges in 7G Smart Networks 连接的未来：全面回顾7G智能网络的创新与挑战

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2025-04-11 DOI: 10.1109/OJCOMS.2025.3560035

Vinay Chamola;Mritunjay Shall Peelam;Mohsen Guizani;Dusit Niyato

{"title":"Future of Connectivity: A Comprehensive Review of Innovations and Challenges in 7G Smart Networks","authors":"Vinay Chamola;Mritunjay Shall Peelam;Mohsen Guizani;Dusit Niyato","doi":"10.1109/OJCOMS.2025.3560035","DOIUrl":"https://doi.org/10.1109/OJCOMS.2025.3560035","url":null,"abstract":"The evolution from 1G to 6G networks has transformed global communication, progressing from basic voice calls in 1G to the immersive, AI-enabled experiences of 6G. As emerging AI-driven applications like autonomous systems, the Internet of Everything (IoE), and immersive technologies demand unprecedented capabilities, 7G networks are set to redefine connectivity by overcoming the limitations of earlier generations. This paper comprehensively reviews the innovations and challenges in 7G networks, focusing on integrating advanced AI and machine learning paradigms such as meta-learning, incremental learning, distributed intelligence, and reinforcement learning to enhance adaptability, resource allocation, and edge performance. The review also examines the role of Large Language Models (LLMs) in enabling real-time actionable intelligence and optimizing edge devices within 7G. The paper highlights the use of technologies, including blockchain for decentralized security, quantum computing for robust encryption, terahertz communication for ultra-fast data transfer, zero-energy solutions for sustainability, and generative AI for intelligent network optimization and automation. By addressing these challenges and exploring cutting-edge strategies, this paper envisions 7G networks as the foundation for a secure, intelligent, and sustainable digital future, equipped to combat emerging cyber warfare threats, enhance resilience against technological disruptions, and support innovations across smart cities, autonomous systems, healthcare, and industrial IoT.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"3555-3613"},"PeriodicalIF":6.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10963909","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0