IEEE Communications Surveys and Tutorials最新文献

Editorial Fourth Bi-Monthly 2025 IEEE Communications Surveys and Tutorials 编辑第四双月刊2025年IEEE通信调查和教程

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2025-08-13 DOI: 10.1109/COMST.2025.3592430

Trung Q. Duong

引用次数: 0

Editorial Third Bi-Monthly 2025 IEEE Communications Surveys and Tutorials 编辑第三双月刊2025 IEEE通信调查和教程

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2025-06-12 DOI: 10.1109/COMST.2025.3572237

Trung Q. Duong

引用次数: 0

Editorial Second Bi-Monthly 2025 IEEE Communications Surveys & Tutorials 编辑第二双月刊2025年IEEE通信调查和教程

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2025-03-01 DOI: 10.1109/COMST.2025.3560017

Trung Q. Duong

引用次数: 0

Editorial First Bi-Monthly 2025 IEEE Communications Surveys and Tutorials 编辑第一双月刊2025年IEEE通信调查和教程

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2025-02-14 DOI: 10.1109/COMST.2025.3534456

Trung Q. Duong

引用次数: 0

Toward Federated Large Language Models: Motivations, Methods, and Future Directions 走向联合大型语言模型：动机、方法和未来方向

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-11-21 DOI: 10.1109/COMST.2024.3503680

Yujun Cheng;Weiting Zhang;Zhewei Zhang;Chuan Zhang;Shengjin Wang;Shiwen Mao

{"title":"Toward Federated Large Language Models: Motivations, Methods, and Future Directions","authors":"Yujun Cheng;Weiting Zhang;Zhewei Zhang;Chuan Zhang;Shengjin Wang;Shiwen Mao","doi":"10.1109/COMST.2024.3503680","DOIUrl":"10.1109/COMST.2024.3503680","url":null,"abstract":"Large Language Models (LLMs), such as LLaMA and GPT-4, have transformed the paradigm of natural language comprehension and generation. Despite their impressive performance, these models still face certain challenges, including the need for extensive data, high computational resources, and privacy concerns related to their data sources. Recently, Federated Learning (FL) has surfaced as a cooperative AI methodology that enables AI training across distributed computation entities while maintaining decentralized data. Integrating FL with LLMs presents an encouraging solution for privacy-preserving and collaborative LLM learning across multiple end-users, thus addressing the aforementioned challenges. In this paper, we provide an exhaustive review of federated Large Language Models, starting from an overview of the latest progress in FL and LLMs, and proceeding to a discourse on their motivation and challenges for integration. We then conduct a thorough review of the existing federated LLM research from the perspective of the entire lifespan, from pre-training to fine-tuning and practical applications. Moreover, we address the threats and issues arising from this integration, shedding light on the delicate balance between privacy and robustness, and introduce existing approaches and potential strategies for enhancing federated LLM privacy and resilience. Finally, we conclude this survey by outlining promising avenues for future research in this emerging field.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"27 4","pages":"2733-2764"},"PeriodicalIF":34.4,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684408","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: Fourth Quarter 2024 IEEE Communications Surveys and Tutorials 编辑：2024 年第 4 季度《IEEE 通信概览与教程

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-11-21 DOI: 10.1109/COMST.2024.3464708

Dusit Niyato

引用次数: 0

Quantum Computing in Wireless Communications and Networking: A Tutorial-cum-Survey 无线通信和网络中的量子计算：教程与调查

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-11-20 DOI: 10.1109/COMST.2024.3502762

Wei Zhao;Tangjie Weng;Yue Ruan;Zhi Liu;Xuangou Wu;Xiao Zheng;Nei Kato

{"title":"Quantum Computing in Wireless Communications and Networking: A Tutorial-cum-Survey","authors":"Wei Zhao;Tangjie Weng;Yue Ruan;Zhi Liu;Xuangou Wu;Xiao Zheng;Nei Kato","doi":"10.1109/COMST.2024.3502762","DOIUrl":"10.1109/COMST.2024.3502762","url":null,"abstract":"Owing to its outstanding parallel computing capabilities, quantum computing (QC) has been a subject of continuous attention. With the gradual maturation of QC platforms, it has increasingly played a significant role in various fields such as transportation, pharmaceuticals, and industrial manufacturing, achieving unprecedented milestones. In modern society, wireless communication stands as an indispensable infrastructure, with its essence lying in optimization. Although artificial intelligence (AI) algorithms such as reinforcement learning (RL) and mathematical optimization have greatly enhanced the performance of wireless communication, the rapid attainment of optimal solutions for wireless communication problems remains an unresolved challenge. QC, however, presents a new alternative. This paper aims to elucidate the fundamentals of QC and explore its applications in wireless communications and networking. First, we provide a tutorial on QC, covering its basics, characteristics, and popular QC algorithms. Next, we introduce the applications of QC in communications and networking, followed by its applications in miscellaneous areas such as security and privacy, localization and tracking, and video streaming. Finally, we discuss remaining open issues before concluding.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"27 4","pages":"2378-2419"},"PeriodicalIF":34.4,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678215","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 Tutorial on Fluid Antenna System for 6G Networks: Encompassing Communication Theory, Optimization Methods and Hardware Designs 6G 网络流体天线系统教程》：涵盖通信理论、优化方法和硬件设计

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-11-15 DOI: 10.1109/COMST.2024.3498855

Wee Kiat New;Kai-Kit Wong;Hao Xu;Chao Wang;Farshad Rostami Ghadi;Jichen Zhang;Junhui Rao;Ross Murch;Pablo Ramírez-Espinosa;David Morales-Jimenez;Chan-Byoung Chae;Kin-Fai Tong

{"title":"A Tutorial on Fluid Antenna System for 6G Networks: Encompassing Communication Theory, Optimization Methods and Hardware Designs","authors":"Wee Kiat New;Kai-Kit Wong;Hao Xu;Chao Wang;Farshad Rostami Ghadi;Jichen Zhang;Junhui Rao;Ross Murch;Pablo Ramírez-Espinosa;David Morales-Jimenez;Chan-Byoung Chae;Kin-Fai Tong","doi":"10.1109/COMST.2024.3498855","DOIUrl":"10.1109/COMST.2024.3498855","url":null,"abstract":"The advent of the sixth-generation (6G) networks presents another round of revolution for the mobile communication landscape, promising an immersive experience, robust reliability, minimal latency, extreme connectivity, ubiquitous coverage, and capabilities beyond communication, including intelligence and sensing. To achieve these ambitious goals, it is apparent that 6G networks need to incorporate the state-of-the-art technologies. One of the technologies that has garnered rising interest is fluid antenna system (FAS) which represents any software-controllable fluidic, conductive, or dielectric structure capable of dynamically changing its shape and position to reconfigure essential radio-frequency (RF) characteristics. Compared to traditional antenna systems (TASs) with fixed-position radiating elements, the core idea of FAS revolves around the unique flexibility of reconfiguring the radiating elements within a given space. One recent driver of FAS is the recognition of its position-flexibility as a new degree of freedom (dof) to harness diversity and multiplexing gains. In this paper, we provide a comprehensive tutorial, covering channel modeling, signal processing and estimation methods, information-theoretic insights, new multiple access techniques, and hardware designs. Moreover, we delineate the challenges of FAS and explore the potential of using FAS to improve the performance of other contemporary technologies. By providing insights and guidance, this tutorial paper serves to inspire researchers to explore new horizons and fully unleash the potential of FAS.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"27 4","pages":"2325-2377"},"PeriodicalIF":34.4,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643062","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

Centrality-Based On-Path Caching Strategies in NDN-Based Internet of Things: A Survey 基于 NDN 的物联网中基于中心性的 On-Path 缓存策略：调查

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-11-07 DOI: 10.1109/COMST.2024.3493626

Muhammad Ali Naeem;Ikram Ud Din;Yahui Meng;Ahmad Almogren;Joel J. P. C. Rodrigues

{"title":"Centrality-Based On-Path Caching Strategies in NDN-Based Internet of Things: A Survey","authors":"Muhammad Ali Naeem;Ikram Ud Din;Yahui Meng;Ahmad Almogren;Joel J. P. C. Rodrigues","doi":"10.1109/COMST.2024.3493626","DOIUrl":"10.1109/COMST.2024.3493626","url":null,"abstract":"The substantial growth in data volume has led to considerable technological obstacles on the Internet. In order to address the high volume of Internet traffic, the research community has investigated the improvement of Internet architecture by implementing centrality-based caching, which could involve collaborative efforts. Different centrality-based caching strategies have been put forward that allow for different data distribution. These include betweenness centrality, degree centrality, and closeness centrality. Caching provides several advantages in terms of reducing latency, improving scalability, and enhancing data manageability. In addition, this study provides an overview of cache management algorithms based on centrality in the context of Information Centric Networking (ICN), Named Data Networking (NDN), and Internet of Things (IoT). It highlights the advantages and disadvantages of these algorithms and evaluates their performance in a network simulation environment, specifically in terms of cache hit ratio, data retrieval latency, and average hop count. Ultimately, we aim to pinpoint and deliberate on possible research directions for future studies concerning various aspects of centrality-based caching in communication systems.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"27 4","pages":"2621-2657"},"PeriodicalIF":34.4,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597758","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

Toward Secured Smart Grid 2.0: Exploring Security Threats, Protection Models, and Challenges 迈向安全的智能电网 2.0：探索安全威胁、保护模式和挑战

IF 34.4 1区计算机科学

IEEE Communications Surveys and Tutorials Pub Date : 2024-11-07 DOI: 10.1109/COMST.2024.3493630

Lan-Huong Nguyen;Van-Linh Nguyen;Ren-Hung Hwang;Jian-Jhih Kuo;Yu-Wen Chen;Chien-Chung Huang;Ping-I Pan

{"title":"Toward Secured Smart Grid 2.0: Exploring Security Threats, Protection Models, and Challenges","authors":"Lan-Huong Nguyen;Van-Linh Nguyen;Ren-Hung Hwang;Jian-Jhih Kuo;Yu-Wen Chen;Chien-Chung Huang;Ping-I Pan","doi":"10.1109/COMST.2024.3493630","DOIUrl":"10.1109/COMST.2024.3493630","url":null,"abstract":"Many nations are promoting the green transition in the energy sector to attain neutral carbon emissions by 2050. Smart Grid 2.0 (SG2) is expected to explore data-driven analytics and enhance communication technologies to improve the efficiency and sustainability of distributed renewable energy systems. These features are beyond smart metering and electric surplus distribution in conventional smart grids. Given the high dependence on communication networks to connect distributed microgrids in SG2, potential cascading failures of connectivity can cause disruption to data synchronization to the remote control systems. This paper reviews security threats and defense tactics for three stakeholders: power grid operators, communication network providers, and consumers. Through the survey, we found that SG2‘s stakeholders are particularly vulnerable to substation attacks/vandalism, malware/ransomware threats, blockchain vulnerabilities and supply chain breakdowns. Furthermore, incorporating artificial intelligence (AI) into autonomous energy management in distributed energy resources of SG2 creates new challenges. Accordingly, adversarial samples and false data injection on electricity reading and measurement sensors at power plants can fool AI-powered control functions and cause messy error-checking operations in energy storage, wrong energy estimation in electric vehicle charging, and even fraudulent transactions in peer-to-peer energy trading models. Scalable blockchain-based models, physical unclonable function, interoperable security protocols, and trustworthy AI models designed for managing distributed microgrids in SG2 are typical promising protection models for future research.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"27 4","pages":"2581-2620"},"PeriodicalIF":34.4,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597759","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