IEEE Communications Surveys and Tutorials最新文献_第6页

Two Decades of Research Progress in Resource Allocation for PLC Systems: From Core Concepts to Frontiers PLC 系统资源分配研究二十年的进展：从核心概念到前沿领域

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-03-25 DOI: 10.1109/COMST.2024.3380901

Yan F. Coutinho;ândrei Camponogara;Mateus de L. Filomeno;Marcello L. R. de Campos;Andrea M. Tonello;Moisés V. Ribeiro

{"title":"Two Decades of Research Progress in Resource Allocation for PLC Systems: From Core Concepts to Frontiers","authors":"Yan F. Coutinho;ândrei Camponogara;Mateus de L. Filomeno;Marcello L. R. de Campos;Andrea M. Tonello;Moisés V. Ribeiro","doi":"10.1109/COMST.2024.3380901","DOIUrl":"10.1109/COMST.2024.3380901","url":null,"abstract":"In this paper, we review the current state-of-the-art of resource allocation for power line communication systems. The study systematically presents the advancements achieved in this field over the past decades. To achieve this, we adopt two complementary perspectives: a power line communication-centric view and an optimization-centric view. The former highlights resource allocation within the eye of the power line communication community, while the latter emphasizes optimization principles, focusing on the technical aspects of resource allocation. Subsequently, we meticulously present the progress made in both single- and multi-user scenarios, employing a chronological approach to provide readers with a coherent narrative of the evolution and important findings. Furthermore, we accentuate critical insights and valuable lessons gathered from these developments. In conclusion, we explore future trends and prospects within the scope of resource allocation for power line communication systems, intending to inspire research initiatives that push the boundaries beyond the existing state-of-the-art.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"26 3","pages":"1710-1747"},"PeriodicalIF":34.4,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140291467","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

Editorial: Second Quarter 2024 IEEE Communications Surveys and Tutorials 编辑：2024 年第二季度《IEEE 通信概览与教程

IF 35.6 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-03-22 DOI: 10.1109/COMST.2024.3396689

Dusit Niyato

引用次数: 0

How Can Optical Communications Shape the Future of Deep Space Communications? A Survey 光通信如何塑造深空通信的未来？调查

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-03-21 DOI: 10.1109/COMST.2024.3403873

Sarah Karmous;Nadia Adem;Mohammed Atiquzzaman;Sumudu Samarakoon

{"title":"How Can Optical Communications Shape the Future of Deep Space Communications? A Survey","authors":"Sarah Karmous;Nadia Adem;Mohammed Atiquzzaman;Sumudu Samarakoon","doi":"10.1109/COMST.2024.3403873","DOIUrl":"10.1109/COMST.2024.3403873","url":null,"abstract":"With a large number of deep space (DS) missions anticipated by the end of this decade, reliable and high-capacity DS communications are needed more than ever. Nevertheless, existing technologies are far from meeting such a goal. Improving current systems does not only require engineering leadership, but also, very crucially, investigating potential technologies that overcome the unique challenges of ultra-long DS links. To the best of our knowledge, there has not been any comprehensive surveys of DS communications technologies over the last decade. Free space optical (FSO) is an emerging DS technology, proven to acquire lower communications systems size weight and power (SWaP) and achieve a very high capacity compared to its counterpart radio frequency (RF), the currently used DS technology. In this survey, we discuss the pros and cons of deep space optical communications (DSOC) and review their physical and networking characteristics. Furthermore, we provide, for the first time, thoughtful discussions about implementing orbital angular momentum (OAM) and quantum communications (QC) for DS. We elaborate on how these technologies among other field advances including interplanetary network (IPN) and RF/FSO systems improve reliability, capacity, and security. This paper provides a holistic survey of DSOC technologies gathering 247 fragmented pieces of literature and including novel perspectives aiming to set the stage for more developments in the field.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"27 1","pages":"725-747"},"PeriodicalIF":34.4,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141079062","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 Survey on Blockchain Scalability: From Hardware to Layer-Two Protocols 区块链可扩展性调查：从硬件到第二层协议

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-03-18 DOI: 10.1109/COMST.2024.3376252

Gabriel Antonio F. Rebello;Gustavo F. Camilo;Lucas Airam C. de Souza;Maria Potop-Butucaru;Marcelo Dias de Amorim;Miguel Elias M. Campista;Luís Henrique M. K. Costa

{"title":"A Survey on Blockchain Scalability: From Hardware to Layer-Two Protocols","authors":"Gabriel Antonio F. Rebello;Gustavo F. Camilo;Lucas Airam C. de Souza;Maria Potop-Butucaru;Marcelo Dias de Amorim;Miguel Elias M. Campista;Luís Henrique M. K. Costa","doi":"10.1109/COMST.2024.3376252","DOIUrl":"10.1109/COMST.2024.3376252","url":null,"abstract":"Despite the great success of blockchain systems in recent years, blockchains still struggle to provide the same level of latency and throughput as centralized financial systems. The core of this problem lies in the inefficiency of consensus protocols. In this paper, we provide a survey on recent efforts to improve the scalability of blockchains. We focus on layer-two protocols, such as payment channel networks and transaction rollups, which process computations off-chain and only use consensus for dispute resolution. Layer-two protocols are expected to process microtransactions with sub-second latency and reduced fees, allowing blockchains to scale. Much of this work addresses the open challenges of payment channel networks, such as payment routing, channel rebalancing, network design strategies, security and privacy, payment scheduling, congestion control, simulators, and support for light nodes. We also dedicate a section to the existing implementations of smart-contract-based transaction rollups. Our work systematizes the state-of-the-art layer-two protocols, paving the way for future advances.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"26 4","pages":"2411-2458"},"PeriodicalIF":34.4,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140161573","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

Empowering Cloud Computing With Network Acceleration: A Survey 通过网络加速增强云计算能力：调查

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-03-14 DOI: 10.1109/COMST.2024.3377531

Lorenzo Rosa;Luca Foschini;Antonio Corradi

{"title":"Empowering Cloud Computing With Network Acceleration: A Survey","authors":"Lorenzo Rosa;Luca Foschini;Antonio Corradi","doi":"10.1109/COMST.2024.3377531","DOIUrl":"10.1109/COMST.2024.3377531","url":null,"abstract":"Modern interactive and data-intensive applications must operate under demanding time constraints, prompting a shift toward the adoption of specialized software and hardware network acceleration technologies. This specialization, however, poses significant scalability, flexibility, security, and economic sustainability challenges for application developers. Cloud computing holds the potential to overcome these obstacles by offering the cost-effective option to access specialized acceleration technologies through standard cloud interfaces. Nevertheless, that integration is still challenging for cloud providers. In the cloud, physical resources are hidden behind a virtualization layer, whereas acceleration technologies make applications directly interact with the hardware. To bridge this gap, recent literature explores the possibility of empowering cloud platforms with accelerated networking as a commodity, thus offering the innovative option of Network Acceleration as a Service. This survey reviews these recent research efforts by adopting popular technologies like XDP, DPDK, and RDMA as a reference. To organize the surveyed research in a comprehensive framework, we identify four key aspects that pose critical problems to the integration of acceleration options in cloud computing - access interfaces, virtualization techniques, serviceability, and security - and systematically discuss the associated challenges. Then, we present the issues to be further addressed and outline the most promising research directions for the full integration of network acceleration within next-generation cloud computing platforms.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"26 4","pages":"2729-2768"},"PeriodicalIF":34.4,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10472517","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140135628","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

Security Analysis of Critical 5G Interfaces 关键 5G 接口的安全分析

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-03-13 DOI: 10.1109/COMST.2024.3377161

Mohammed Mahyoub;AbdulAziz AbdulGhaffar;Emmanuel Alalade;Ezekiel Ndubisi;Ashraf Matrawy

引用次数: 0

Transitioning From Federated Learning to Quantum Federated Learning in Internet of Things: A Comprehensive Survey 在物联网中从联邦学习过渡到量子联邦学习：全面调查

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-03-10 DOI: 10.1109/COMST.2024.3399612

Cheng Qiao;Mianjie Li;Yuan Liu;Zhihong Tian

{"title":"Transitioning From Federated Learning to Quantum Federated Learning in Internet of Things: A Comprehensive Survey","authors":"Cheng Qiao;Mianjie Li;Yuan Liu;Zhihong Tian","doi":"10.1109/COMST.2024.3399612","DOIUrl":"10.1109/COMST.2024.3399612","url":null,"abstract":"Quantum Federated Learning (QFL) recently becomes a promising approach with the potential to revolutionize Machine Learning (ML). It merges the established strengths of classical Federated Learning (FL) with the exceptional parallel mechanism and exponential speed enhancements characteristic of quantum computing. While this innovative fusion has garnered considerable attention, a notable gap in current research is the tendency to consider traditional FL and its quantum-enhanced counterpart, QFL, in isolation. This approach often overlooks the critical role of Quantum Machine Learning (QML) in effectively bridging these two domains. Recognizing this, there emerges a pressing need for a comprehensive survey that encompasses the entire spectrum of FL paradigms, from foundational FL concepts to the cutting-edge developments in QFL. Our survey aims to address this need by providing an in-depth exploration of the various facets of FL paradigms, ultimately leading to a thorough understanding of Quantum Federated Learning. We start by emphasizing the driving factors and prevalent research topics related to FL. To develop a more efficient, robust, and precise computing paradigm, we investigate the current solutions that address the concerns of heterogeneity, privacy, security, and evaluation in FL. After that, we explore the possibility of improving the computational efficiency of ML methods by leveraging the computational capabilities of quantum computers. In particular, we discuss the frameworks, evaluation, and applications for QML. Following that, we detail the integration of quantum computing technologies with standard FL, aiming to bolster computational performance and mitigate security and privacy risks. The potential solutions to improve the efficiency (i.e., slimming mechanism) and respect the privacy and security (i.e., quantum key distribution) for QFL are explored. Finally, we outline some critical future directions towards unlocking the full potential of QFL in distributed machine learning.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"27 1","pages":"509-545"},"PeriodicalIF":34.4,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140907365","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 Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization 增强深度强化学习：网络优化中的生成扩散模型教程

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-03-10 DOI: 10.1109/COMST.2024.3400011

Hongyang Du;Ruichen Zhang;Yinqiu Liu;Jiacheng Wang;Yijing Lin;Zonghang Li;Dusit Niyato;Jiawen Kang;Zehui Xiong;Shuguang Cui;Bo Ai;Haibo Zhou;Dong In Kim

{"title":"Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization","authors":"Hongyang Du;Ruichen Zhang;Yinqiu Liu;Jiacheng Wang;Yijing Lin;Zonghang Li;Dusit Niyato;Jiawen Kang;Zehui Xiong;Shuguang Cui;Bo Ai;Haibo Zhou;Dong In Kim","doi":"10.1109/COMST.2024.3400011","DOIUrl":"10.1109/COMST.2024.3400011","url":null,"abstract":"Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across various applications. The ability to model complex data distributions and generate high-quality samples has made GDMs particularly effective in tasks such as image generation and reinforcement learning. Furthermore, their iterative nature, which involves a series of noise addition and denoising steps, is a powerful and unique approach to learning and generating data. This paper serves as a comprehensive tutorial on applying GDMs in network optimization tasks. We delve into the strengths of GDMs, emphasizing their wide applicability across various domains, such as vision, text, and audio generation. We detail how GDMs can be effectively harnessed to solve complex optimization problems inherent in networks. The paper first provides a basic background of GDMs and their applications in network optimization. This is followed by a series of case studies, showcasing the integration of GDMs with Deep Reinforcement Learning (DRL), incentive mechanism design, Semantic Communications (SemCom), Internet of Vehicles (IoV) networks, etc. These case studies underscore the practicality and efficacy of GDMs in real-world scenarios, offering insights into network design. We conclude with a discussion on potential future directions for GDM research and applications, providing major insights into how they can continue to shape the future of network optimization.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"26 4","pages":"2611-2646"},"PeriodicalIF":34.4,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140907362","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

When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives 当群体感应遇上智慧城市：全面调查与新视角

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-03-10 DOI: 10.1109/COMST.2024.3400121

Zhenning Wang;Yue Cao;Kai Jiang;Huan Zhou;Jiawen Kang;Yuan Zhuang;Daxin Tian;Victor C. M. Leung

{"title":"When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives","authors":"Zhenning Wang;Yue Cao;Kai Jiang;Huan Zhou;Jiawen Kang;Yuan Zhuang;Daxin Tian;Victor C. M. Leung","doi":"10.1109/COMST.2024.3400121","DOIUrl":"10.1109/COMST.2024.3400121","url":null,"abstract":"Crowdsensing has received widespread attention in recent years. It is extensively employed in smart cities and intelligent transportation systems. This paper comprehensively surveys the latest research advancements in crowdsensing for smart cities from a novel perspective. Specifically, this paper is categorized according to sensing entities in smart cities, including human-oriented sensing, vehicle-oriented sensing, and infrastructure-oriented sensing. Meanwhile, the development of Unmanned Aerial Vehicle (UAV)-assisted sensing in recent years is also summarized, accompanied by a timeline of related research. To facilitate easy comprehension, we have positioned the reading flow into the corresponding architectures, resolved problems, existing technical solutions, and specific application scenarios for different sensing entities. In particular, the problems to be solved are further analyzed from four technical perspectives, namely mathematics and operational research, artificial intelligence and machine learning, incentive mechanisms, security and privacy protection. Based on the proposed taxonomy, recent studies are thoroughly investigated to illustrate the current state of research in crowdsensing. Furthermore, this paper highlights the emerging applications of human-oriented and vehicle-oriented sensing in smart cities, as well as the frameworks, platforms, simulators, and datasets involved in crowdsensing. Finally, this paper discusses research directions related to crowdsensing in smart cities, such as digital twins, metaverses, and artificial intelligence-generated content. The primary goal of this survey is to review and synthesize prior research, identify potential avenues for future research, and explore opportunities for collaboration with other relevant research domains.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"27 2","pages":"1101-1151"},"PeriodicalIF":34.4,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140907244","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

Multi-Modal Fusion Sensing: A Comprehensive Review of Millimeter-Wave Radar and Its Integration With Other Modalities 多模态融合传感：毫米波雷达及其与其他模式融合的全面回顾

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-03-08 DOI: 10.1109/COMST.2024.3398004

Shuai Wang;Luoyu Mei;Ruofeng Liu;Wenchao Jiang;Zhimeng Yin;Xianjun Deng;Tian He

{"title":"Multi-Modal Fusion Sensing: A Comprehensive Review of Millimeter-Wave Radar and Its Integration With Other Modalities","authors":"Shuai Wang;Luoyu Mei;Ruofeng Liu;Wenchao Jiang;Zhimeng Yin;Xianjun Deng;Tian He","doi":"10.1109/COMST.2024.3398004","DOIUrl":"10.1109/COMST.2024.3398004","url":null,"abstract":"Millimeter-wave (mmWave) radar, with its high resolution, sensitivity to micro-vibrations, and adaptability to various environmental conditions, holds immense potential across multi-modal fusion sensing. Although there exist review papers on mmWave radar, there is a noticeable lack of comprehensive reviews focusing on its multi-modal fusion sensing capabilities. Addressing this gap, our review offers an extensive exploration of mmWave radar multi-modal fusion sensing, emphasizing its integration with other modalities. This review discusses the complex realm of millimeter-wave radar multi-modal fusion sensing, detailing its importance, hardware and software aspects, principles, and current potential and applications. It delves into data characteristics and datasets associated with mmWave radar, focusing on Doppler, point cloud, and multi-modal data formats. The review highlights how these data types enhance multi-modal fusion sensing and discusses methodologies, including signal processing and learning algorithms. Three categories of multi-modal fusion methodologies are proposed to optimally manage and interpret fused data. Various practical applications of mmWave radar multi-modal fusion sensing are illustrated, underlining the unique capabilities it provides when integrated with other sensors. The review concludes by identifying potential future research avenues, underscoring the immense potential of this field for further exploration and advancement.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"27 1","pages":"322-352"},"PeriodicalIF":34.4,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895430","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