IEEE Transactions on Broadcasting最新文献

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IEEE Transactions on Broadcasting Publication Information
IF 3.2 1区 计算机科学
IEEE Transactions on Broadcasting Pub Date : 2024-12-11 DOI: 10.1109/TBC.2024.3495315
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引用次数: 0
2024 Scott Helt Memorial Award for the Best Paper Published in the IEEE Transactions on Broadcasting
IF 3.2 1区 计算机科学
IEEE Transactions on Broadcasting Pub Date : 2024-12-11 DOI: 10.1109/TBC.2024.3492772
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引用次数: 0
IEEE Transactions on Broadcasting Information for Authors
IF 3.2 1区 计算机科学
IEEE Transactions on Broadcasting Pub Date : 2024-12-11 DOI: 10.1109/TBC.2024.3495317
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引用次数: 0
Enhancing Channel Estimation in Terrestrial Broadcast Communications Using Machine Learning
IF 3.2 1区 计算机科学
IEEE Transactions on Broadcasting Pub Date : 2024-09-19 DOI: 10.1109/TBC.2024.3417228
Iñigo Bilbao;Eneko Iradier;Jon Montalban;Pablo Angueira;Sung-Ik Park
{"title":"Enhancing Channel Estimation in Terrestrial Broadcast Communications Using Machine Learning","authors":"Iñigo Bilbao;Eneko Iradier;Jon Montalban;Pablo Angueira;Sung-Ik Park","doi":"10.1109/TBC.2024.3417228","DOIUrl":"https://doi.org/10.1109/TBC.2024.3417228","url":null,"abstract":"Artificial Intelligence (AI) and Machine Learning (ML) approaches have emerged as viable alternatives to conventional Physical Layer (PHY) signal processing methods. Specifically, in any wireless point-to-multipoint communication, accurate channel estimation plays a pivotal role in exploiting spectrum efficiency with functionalities such as higher-order modulation or full-duplex communication. This research paper proposes leveraging ML solutions, including Convolutional Neural Networks (CNNs) and Multilayer Perceptrons (MLPs), to enhance channel estimation within broadcast environments. Each architecture is instantiated using distinct procedures, focusing on two fundamental approaches: channel estimation denoising and ML-assisted pilot interpolation. Rigorous evaluations are conducted across diverse configurations and conditions, spanning rural areas and co-channel interference scenarios. The results demonstrate that MLP and CNN architectures consistently outperform classical methods, yielding 10 and 20 dB performance improvements, respectively. These results underscore the efficacy of ML-driven approaches in advancing channel estimation capabilities for broadcast communication systems.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"70 4","pages":"1181-1191"},"PeriodicalIF":3.2,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810675","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 Broadcasting Information for Authors 电气和电子工程师学会(IEEE)《关于广播作者信息的论文集》(IEEE Transactions on Broadcasting Information for Authors
IF 3.2 1区 计算机科学
IEEE Transactions on Broadcasting Pub Date : 2024-09-16 DOI: 10.1109/TBC.2024.3453631
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引用次数: 0
IEEE Transactions on Broadcasting Publication Information 电气和电子工程师学会《广播学报》出版信息
IF 3.2 1区 计算机科学
IEEE Transactions on Broadcasting Pub Date : 2024-09-16 DOI: 10.1109/TBC.2024.3453629
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引用次数: 0
Next-Gen Satellite System: Integrative Non-Orthogonal Broadcast and Unicast Services Based on Innovative Frequency Reuse Patterns 下一代卫星系统:基于创新频率重用模式的非正交广播和单播综合服务
IF 3.2 1区 计算机科学
IEEE Transactions on Broadcasting Pub Date : 2024-09-16 DOI: 10.1109/TBC.2024.3434731
Shuai Han;Zhiqiang Li;Weixiao Meng;Cheng Li
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引用次数: 0
IEEE Transactions on Broadcasting Information for Authors 电气和电子工程师学会(IEEE)《关于广播作者信息的论文集》(IEEE Transactions on Broadcasting Information for Authors
IF 3.2 1区 计算机科学
IEEE Transactions on Broadcasting Pub Date : 2024-09-16 DOI: 10.1109/TBC.2024.3453611
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引用次数: 0
IEEE Transactions on Broadcasting Publication Information 电气和电子工程师学会《广播学报》出版信息
IF 3.2 1区 计算机科学
IEEE Transactions on Broadcasting Pub Date : 2024-09-16 DOI: 10.1109/TBC.2024.3453609
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引用次数: 0
Guest Editorial Special Issue on Intelligent Multicast/Broadcast Services Over 5G/6G 关于 5G/6G 智能多播/广播服务的特邀编辑特刊
IF 3.2 1区 计算机科学
IEEE Transactions on Broadcasting Pub Date : 2024-09-16 DOI: 10.1109/TBC.2024.3450134
Bo Rong;Eneko Iradier;Jordi Joan Gimenez;Sungjun Ahn;Cristiano Akamine;Jong-Soo Seo;Peng Yu;Yin Xu;Pablo Angueira;Yiyan Wu;Weiliang Xie
{"title":"Guest Editorial Special Issue on Intelligent Multicast/Broadcast Services Over 5G/6G","authors":"Bo Rong;Eneko Iradier;Jordi Joan Gimenez;Sungjun Ahn;Cristiano Akamine;Jong-Soo Seo;Peng Yu;Yin Xu;Pablo Angueira;Yiyan Wu;Weiliang Xie","doi":"10.1109/TBC.2024.3450134","DOIUrl":"https://doi.org/10.1109/TBC.2024.3450134","url":null,"abstract":"","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"70 3","pages":"964-970"},"PeriodicalIF":3.2,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10680477","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142235774","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
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