IEEE Transactions on Wireless Communications最新文献_第6页

IEEE Transactions on Wireless Communications Society Information 电气和电子工程师学会《无线通信学会期刊》信息

IF 8.9 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2024-09-11 DOI: 10.1109/TWC.2024.3445010

引用次数: 0

UAV-Enabled Semantic Communication in Mobile Edge Computing Under Jamming Attacks: An Intelligent Resource Management Approach 干扰攻击下移动边缘计算中的无人机语义通信：一种智能资源管理方法

IF 8.9 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2024-09-11 DOI: 10.1109/TWC.2024.3454073

Shuai Liu;Helin Yang;Mengting Zheng;Liang Xiao;Zehui Xiong;Dusit Niyato

{"title":"UAV-Enabled Semantic Communication in Mobile Edge Computing Under Jamming Attacks: An Intelligent Resource Management Approach","authors":"Shuai Liu;Helin Yang;Mengting Zheng;Liang Xiao;Zehui Xiong;Dusit Niyato","doi":"10.1109/TWC.2024.3454073","DOIUrl":"10.1109/TWC.2024.3454073","url":null,"abstract":"The integration of semantic communication with mobile edge computing (MEC) has emerged as a prominent research area. In this paper, we explore a novel scenario where semantic communication is integrated with unmanned aerial vehicles (UAVs) to enhance MEC, particularly in the face of jamming attacks. Our research focuses on addressing the resource management challenge to minimize task completion time and maximize semantic spectral efficiency (SSE) while adhering to quality of service requirements and resource constraints. Given the non-convexity of this problem and the dynamic behavior of jamming attacks, this paper proposes a deep reinforcement learning (DRL) algorithm by jointly optimizing UAV trajectories, user associations, and channel selections against jamming. In detail, the proposed anti-jamming DRL-based resource management approach can effectively capture the jammer’s behavior, and learn to adjust semantic task and resource scheduling strategies with the objective to minimize the negative effect of jamming attacks on task offloading and semantic communication. Simulation results demonstrate that the proposed approach outperforms baseline algorithms in terms of task completion time and total SSE under different real-world settings.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"23 11","pages":"17493-17507"},"PeriodicalIF":8.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142171062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Performance Bounds and Optimization for CSI-Ratio-Based Bi-Static Doppler Sensing in ISAC Systems ISAC 系统中基于 CSI 比率的双静态多普勒传感的性能界限与优化

IF 8.9 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2024-09-11 DOI: 10.1109/TWC.2024.3453902

Yanmo Hu;Kai Wu;J. Andrew Zhang;Weibo Deng;Y. Jay Guo

{"title":"Performance Bounds and Optimization for CSI-Ratio-Based Bi-Static Doppler Sensing in ISAC Systems","authors":"Yanmo Hu;Kai Wu;J. Andrew Zhang;Weibo Deng;Y. Jay Guo","doi":"10.1109/TWC.2024.3453902","DOIUrl":"10.1109/TWC.2024.3453902","url":null,"abstract":"Bi-static sensing is crucial for exploring the potential of networked sensing capabilities in integrated sensing and communications (ISAC). However, it suffers from the challenging clock asynchronism issue. Channel state information (CSI) ratio-based sensing is an effective means to address the issue. Its performance bounds, particular for Doppler sensing, have not been fully understood yet. This work endeavors to fill the research gap. Focusing on a single dynamic path in high-SNR scenarios, we derive the closed-form Cramér-Rao bounds (CRB). Then, through analyzing the mutual interference between dynamic and static paths, we simplify the CRB results by deriving close approximations, further unveiling new insights of the impact of numerous physical parameters on Doppler sensing. Moreover, utilizing the new CRB and analyses, we propose novel waveform optimization strategies for noise- and interference-limited sensing scenarios, which are also empowered by closed-form and efficient solutions. Extensive simulation results are provided to validate the preciseness of the derived CRB results and analyses, with the aid of the maximum-likelihood estimator. The results also demonstrate the substantial enhanced Doppler sensing accuracy and the sensing capabilities for low-speed target achieved by the proposed waveform design.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"23 11","pages":"17461-17477"},"PeriodicalIF":8.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Joint Physical and Network Layers Design for STARS-Assisted Multi-Cellular Edge Caching STARS 辅助多蜂窝边缘缓存的物理层和网络层联合设计

IF 8.9 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2024-09-11 DOI: 10.1109/TWC.2024.3453672

Zhaoming Hu;Chao Fang;Ruikang Zhong;Yuanwei Liu

{"title":"Joint Physical and Network Layers Design for STARS-Assisted Multi-Cellular Edge Caching","authors":"Zhaoming Hu;Chao Fang;Ruikang Zhong;Yuanwei Liu","doi":"10.1109/TWC.2024.3453672","DOIUrl":"10.1109/TWC.2024.3453672","url":null,"abstract":"A simultaneously transmitting and reflecting surface (STARS) assisted multi-user downlink multiple-input signal-output (MISO) multi-cellular edge caching system is investigated. The deployment of STARS enhances the coverage of base stations (BSs), particularly at cellular boundaries. However, this advancement introduces a complex user association issue that necessitates the consideration of both caching state and channel state information (CSI). In this paper, we formulate a joint optimization problem involving content caching, user association, active beamforming at BS, and passive beamforming at STARS for minimizing long-term power consumption. We propose two algorithms for the formulated problem: 1) A two time-scale cooperative twin delayed deep deterministic policy gradients (TD3). Considering the distinct time scales of the pushing and delivering phases in edge caching, the Markov decision process (MDP) models of dual time scales are constructed and two deep reinforcement learning (DRL) agents work together to jointly address the optimization problem. 2) A bio-inspired DRL framework, especially, a particle swarm optimization (PSO)-inspired TD3 algorithm is introduced in detail. Inspired by the behavior of the biological population in nature, this algorithm regards agents as individuals and enables the concurrent training of multiple agents while they interact with global information via a biological population information interaction mode, thereby enhancing the performance of power optimization. The numerical results demonstrate that the STARS-assisted multi-cellular edge caching system has advantages over traditional cellular systems, especially in scenarios where the number of mobile users and Zipf skewness factor is large. Moreover, the proposed two time-scale cooperative TD3 and PSO-inspired TD3 algorithms are superior in reducing network power consumption than conventional TD3.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"23 11","pages":"17446-17460"},"PeriodicalIF":8.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 Transactions on Wireless Communications Publication Information 电气和电子工程师学会《无线通信论文集》出版信息

IF 8.9 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2024-09-11 DOI: 10.1109/TWC.2024.3445014

引用次数: 0

Integrated Sensing, Communication, and Computation With Adaptive DNN Splitting in Multi-UAV Networks 在多无人飞行器网络中利用自适应 DNN 分裂实现综合传感、通信和计算

IF 8.9 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2024-09-11 DOI: 10.1109/TWC.2024.3453650

Cailian Deng;Xuming Fang;Xianbin Wang

{"title":"Integrated Sensing, Communication, and Computation With Adaptive DNN Splitting in Multi-UAV Networks","authors":"Cailian Deng;Xuming Fang;Xianbin Wang","doi":"10.1109/TWC.2024.3453650","DOIUrl":"10.1109/TWC.2024.3453650","url":null,"abstract":"In this paper, we consider deploying multiple unmanned aerial vehicles (UAVs) to provide integrated sensing, communication, and computation (ISCC) services. During serving communication users, each UAV also senses targets and collaborates with the edge server to run a deep neural network (DNN) model to process the obtained sensing data for target classification. Considering that applying the fixed collaborative computation configurations for the UAVs and edge server cannot adapt to various task latency requirements and dynamic network conditions, we propose to adaptively split the DNN into two parts and execute them on the UAV and the edge server separately to realize flexible collaborative computation. We aim to maximize the average sum rate of users by jointly optimizing the user association, target assignment, DNN splitting, transmit beamforming, computation resource allocation, and UAVs’ locations, subject to the latency and accuracy requirements of sensing tasks. We apply alternating optimization algorithm to solve this complicated non-convex optimization problem. Specifically, the problem is decomposed into four subproblems, and the matching-based method, penalty dual decomposition, and successive convex approximation are leveraged to solve them. Finally, simulation results demonstrate the superiority of the proposed adaptive DNN splitting scheme and the effectiveness of the proposed algorithm.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"23 11","pages":"17429-17445"},"PeriodicalIF":8.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Enhancing Multi-Stream Beamforming Through CQIs for 5G NR FDD Massive MIMO Communications: A Tuning-Free Scheme 通过 CQIs 增强 5G NR FDD 大规模 MIMO 通信的多流波束成形：无调谐方案

IF 8.9 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2024-09-11 DOI: 10.1109/TWC.2024.3454099

Kai Li;Ying Li;Lei Cheng;Zhi-Quan Luo

{"title":"Enhancing Multi-Stream Beamforming Through CQIs for 5G NR FDD Massive MIMO Communications: A Tuning-Free Scheme","authors":"Kai Li;Ying Li;Lei Cheng;Zhi-Quan Luo","doi":"10.1109/TWC.2024.3454099","DOIUrl":"10.1109/TWC.2024.3454099","url":null,"abstract":"In the fifth-generation new radio (5G NR) frequency division duplex (FDD) massive multiple-input and multiple-output (MIMO) systems, downlink beamforming relies on the acquisition of downlink channel state information (CSI). Codebook based limited feedback schemes have been proposed and widely used in practice to recover the downlink CSI with low communication overhead. In such schemes, the performance of downlink beamforming is determined by the codebook design and the codebook indicator feedback. However, limited by the quantization quality of the codebook, directly utilizing the codeword indicated by the feedback as the beamforming vector cannot achieve high performance. Therefore, other feedback values, such as channel qualification indicator (CQI), should be considered to enhance beamforming. In this paper, we present the relation between CQI and the optimal beamforming vectors, based on which an empirical Bayes based intelligent tuning-free algorithm is devised to learn the optimal beamforming vector and the associated regularization parameter. The proposed algorithm can handle different communication scenarios of MIMO systems, including single stream and multiple streams data transmission scenarios. Numerical results have shown the excellent performance of the proposed algorithm in terms of both beamforming vector acquisition and regularization parameter learning.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"23 11","pages":"17508-17521"},"PeriodicalIF":8.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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-Over-Coarse Spectrum Sharing With Shaped Virtual Cells for Hybrid Satellite-UAV-Terrestrial Maritime Networks 针对卫星-无人机-地面混合海事网络的 "细-粗 "频谱共享与 "异形虚拟小区 "技术

IF 8.9 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2024-09-11 DOI: 10.1109/TWC.2024.3453940

Yanmin Wang;Wei Feng;Jue Wang;Shidong Zhou;Cheng-Xiang Wang

{"title":"Fine-Over-Coarse Spectrum Sharing With Shaped Virtual Cells for Hybrid Satellite-UAV-Terrestrial Maritime Networks","authors":"Yanmin Wang;Wei Feng;Jue Wang;Shidong Zhou;Cheng-Xiang Wang","doi":"10.1109/TWC.2024.3453940","DOIUrl":"10.1109/TWC.2024.3453940","url":null,"abstract":"Spectrum sharing among the satellite, unmanned aerial vehicle (UAV), and terrestrial components is crucial to alleviate spectrum scarcity in a hybrid maritime communication network (MCN). Fine-grained spectrum sharing based on ms-level time-domain slices is widely envisioned. However, ms-level time synchronization is challenging in the hybrid MCN due to the large diversity in the link delay. To tackle this challenge, we propose a fine-over-coarse spectrum sharing framework based on coordinated link scheduling, which is realized by joint subcarrier and time slice allocation. Specially, by link-cluster-based scheduling with grouped time slice allocation for the satellite links, time-slice-oriented spectrum sharing is realized with coarse time synchronization at time scales much larger than a single time slice duration. In the framework, only large-scale channel state information (CSI) is utilized for saving cost. A worst-case model is introduced to depict interference caused by satellite link clusters, and an NP-hard mixed integer programming (MIP) problem is formulated. Based on analysis on the characteristics of the optimal solution, a novel link clustering algorithm is proposed to form a group of shaped virtual cells within the coverage area of the MCN. A suboptimal spectrum sharing scheme with only a small performance gap to the optimal one is then proposed. Simulations show that a significant improvement in both energy efficiency and spectrum efficiency can be achieved by the proposed framework.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"23 11","pages":"17478-17492"},"PeriodicalIF":8.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10678835","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Federated Edge Learning With Differential Privacy: An Active Reconfigurable Intelligent Surface Approach 具有差异隐私的边缘联合学习：主动可重构智能表面方法

IF 8.9 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2024-09-11 DOI: 10.1109/TWC.2024.3453392

Yuanming Shi;Yuhan Yang;Youlong Wu

{"title":"Federated Edge Learning With Differential Privacy: An Active Reconfigurable Intelligent Surface Approach","authors":"Yuanming Shi;Yuhan Yang;Youlong Wu","doi":"10.1109/TWC.2024.3453392","DOIUrl":"10.1109/TWC.2024.3453392","url":null,"abstract":"Federated edge learning (FL) has become an unprecedented machine learning paradigm that enables distributed training across multiple edge devices without sharing their private data. Nevertheless, recent privacy eavesdropping attacks have raised severe privacy concerns, which make FL untrustworsthy and thus hinder the wide deployment of FL in emerging high-stake applications, such as vehicular networks and healthcare industry. Fortunately, differential privacy (DP) provides a flexible approach by introducing additional randomness to the released model updates so that the eavesdroppers cannot divulge any private information. However, the injected perturbation ensures privacy at the expense of learning accuracy and communication cost, yielding an accuracy-privacy-communication dilemma. In this article, we propose an active reconfigurable intelligent surface (RIS) approach to tackle the dilemma in differentially private FL, which is achieved by exploiting the reconfigurability of active RIS to address the heterogeneous wireless links and privacy concerns, as well as the waveform superposition property with over-the-air computation (AirComp) for low-latency model aggregation. We comprehensively analyze the convergence behavior and systematic privacy guarantee of the active RIS-enabled differentially private FL system, followed by proposing a two-step online power adaptation scheme to minimize the learning optimality gap while satisfying the systematic privacy and power constraints by jointly designing the transmit scalar and artificial noise at the edge devices and the reflection beamforming pattern at the active RIS. Simulation results validate our theoretical achievements and demonstrate the advancements of active RIS in addressing the accuracy-privacy-communication dilemma in differentially private FL.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"23 11","pages":"17368-17383"},"PeriodicalIF":8.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142171035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 Gaussian Copula Approach to the Performance Analysis of Fluid Antenna Systems 流体天线系统性能分析的高斯库普拉方法

IF 8.9 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2024-09-11 DOI: 10.1109/TWC.2024.3454558

Farshad Rostami Ghadi;Kai-Kit Wong;F. Javier López-Martínez;Chan-Byoung Chae;Kin-Fai Tong;Yangyang Zhang

{"title":"A Gaussian Copula Approach to the Performance Analysis of Fluid Antenna Systems","authors":"Farshad Rostami Ghadi;Kai-Kit Wong;F. Javier López-Martínez;Chan-Byoung Chae;Kin-Fai Tong;Yangyang Zhang","doi":"10.1109/TWC.2024.3454558","DOIUrl":"10.1109/TWC.2024.3454558","url":null,"abstract":"This paper investigates the performance of a single-user fluid antenna system (FAS), by exploiting a class of elliptical copulas to describe the dependence structure amongst the fluid antenna positions (ports). By expressing the well-known Jakes’ model in terms of the Gaussian copula, we consider two cases: (i) the general case, i.e., any arbitrary correlated fading distribution; and (ii) the specific case, i.e., correlated Nakagami-m fading. For both scenarios, we first derive analytical expressions for the cumulative distribution function (CDF) and probability density function (PDF) of the equivalent channel in terms of multivariate normal distribution. Then we obtain the outage probability (OP) and the delay outage rate (DOR) to analyze the performance of FAS. By employing the popular rank correlation coefficients such as Spearman’s \u0000<inline-formula> <tex-math>$rho $ </tex-math></inline-formula>\u0000 and Kendall’s \u0000<inline-formula> <tex-math>$tau $ </tex-math></inline-formula>\u0000, we measure the degree of dependency in correlated arbitrary fading channels and illustrate how the Gaussian copula can be accurately connected to Jakes’ model in FAS. Our numerical results demonstrate that increasing the size of FAS provides lower OP and DOR, but the system performance saturates as the number of antenna ports increases. In addition, our results indicate that FAS provides better performance compared to conventional single-fixed antenna systems even when the size of fluid antenna is small.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"23 11","pages":"17573-17585"},"PeriodicalIF":8.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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