IEEE journal on selected areas in communications : a publication of the IEEE Communications Society最新文献

IEEE Communications Society Information IEEE 通信学会信息

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-11-25 DOI: 10.1109/JSAC.2024.3497857

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IEEE Open Access Publishing IEEE 开放存取出版

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-11-25 DOI: 10.1109/JSAC.2024.3485158

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IEEE Journal on Selected Areas in Communications Publication Information 电气和电子工程师学会通信领域精选期刊》（IEEE Journal on Selected Areas in Communications）出版信息

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-11-25 DOI: 10.1109/JSAC.2024.3497855

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Guest Editorial Integrated Ground-Air-Space Wireless Networks for 6G Mobile—Part I 特邀编辑面向 6G 移动通信的地空一体化无线网络--第一部分

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-11-25 DOI: 10.1109/JSAC.2024.3468688

Yue Xiao;Ming Xiao;Mohamed-Slim Alouini;Akram Al-Hourani;Stefano Cioni

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Space-Air-Ground Integrated Wireless Networks for 6G: Basics, Key Technologies, and Future Trends 面向 6G 的空地一体化无线网络：基础知识、关键技术和未来趋势

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-11-06 DOI: 10.1109/JSAC.2024.3492720

Yue Xiao;Ziqiang Ye;Mingming Wu;Haoyun Li;Ming Xiao;Mohamed-Slim Alouini;Akram Al-Hourani;Stefano Cioni

{"title":"Space-Air-Ground Integrated Wireless Networks for 6G: Basics, Key Technologies, and Future Trends","authors":"Yue Xiao;Ziqiang Ye;Mingming Wu;Haoyun Li;Ming Xiao;Mohamed-Slim Alouini;Akram Al-Hourani;Stefano Cioni","doi":"10.1109/JSAC.2024.3492720","DOIUrl":"10.1109/JSAC.2024.3492720","url":null,"abstract":"With the expansive deployment of ground base stations, low Earth orbit (LEO) satellites, and aerial platforms such as unmanned aerial vehicles (UAVs) and high altitude platforms (HAPs), the concept of space-air-ground integrated network (SAGIN) has emerged as a promising architecture for future 6G wireless systems. In general, SAGIN aims to amalgamate terrestrial nodes, aerial platforms, and satellites to enhance global coverage and ensure seamless connectivity. Moreover, beyond mere communication functionality, computing capability is increasingly recognized as a critical attribute of sixth generation (6G) networks. To address this, integrated communication and computing have recently been advocated as a viable approach. Additionally, to overcome the technical challenges of complicated systems such as high mobility, unbalanced traffics, limited resources, and various demands in communication and computing among different network segments, various solutions have been introduced recently. Consequently, this paper offers a comprehensive survey of the technological advances in communication and computing within SAGIN for 6G, including system architecture, network characteristics, general communication, and computing technologies. Subsequently, we summarize the pivotal technologies of SAGIN-enabled 6G, including the physical layer, medium access control (MAC) layer, and network layer. Finally, we explore the technical challenges and future trends in this field.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"42 12","pages":"3327-3354"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142594853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Fair Resource Allocation for Hierarchical Federated Edge Learning in Space-Air-Ground Integrated Networks via Deep Reinforcement Learning With Hybrid Control 通过具有混合控制功能的深度强化学习为天空地一体化网络中的分层联合边缘学习分配公平资源

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-11-05 DOI: 10.1109/JSAC.2024.3459086

Chong Huang;Gaojie Chen;Pei Xiao;Jonathon A. Chambers;Wei Huang

{"title":"Fair Resource Allocation for Hierarchical Federated Edge Learning in Space-Air-Ground Integrated Networks via Deep Reinforcement Learning With Hybrid Control","authors":"Chong Huang;Gaojie Chen;Pei Xiao;Jonathon A. Chambers;Wei Huang","doi":"10.1109/JSAC.2024.3459086","DOIUrl":"10.1109/JSAC.2024.3459086","url":null,"abstract":"The space-air-ground integrated network (SAGIN) has become a crucial research direction in future wireless communications due to its ubiquitous coverage, rapid and flexible deployment, and multi-layer cooperation capabilities. However, integrating hierarchical federated learning (HFL) with edge computing and SAGINs remains a complex open issue to be resolved. This paper proposes a novel framework for applying HFL in SAGINs, utilizing aerial platforms and low Earth orbit (LEO) satellites as edge servers and cloud servers, respectively, to provide multi-layer aggregation capabilities for HFL. The proposed system also considers the presence of inter-satellite links (ISLs), enabling satellites to exchange federated learning models with each other. Furthermore, we consider multiple different computational tasks that need to be completed within a limited satellite service time. To maximize the convergence performance of all tasks while ensuring fairness, we propose the use of the distributional soft-actor-critic (DSAC) algorithm to optimize resource allocation in the SAGIN and aggregation weights in HFL. Moreover, we address the efficiency issue of hybrid action spaces in deep reinforcement learning (DRL) through a decoupling and recoupling approach, and design a new dynamic adjusting reward function to ensure fairness among multiple tasks in federated learning. Simulation results demonstrate the superiority of our proposed algorithm, consistently outperforming baseline approaches and offering a promising solution for addressing highly complex optimization problems in SAGINs.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"42 12","pages":"3618-3631"},"PeriodicalIF":0.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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TechRxiv: Share Your Preprint Research With the World! TechRxiv：与世界分享您的预印本研究成果！

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-10-17 DOI: 10.1109/JSAC.2024.3473734

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IEEE Open Access Publishing IEEE 开放存取出版

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-10-17 DOI: 10.1109/JSAC.2024.3473736

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IEEE Communications Society Information IEEE 通信学会信息

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-10-17 DOI: 10.1109/JSAC.2024.3463253

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IEEE Journal on Selected Areas in Communications Publication Information 电气和电子工程师学会通信领域精选期刊》（IEEE Journal on Selected Areas in Communications）出版信息

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-10-17 DOI: 10.1109/JSAC.2024.3463251

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