Intelligent Localization for Integrated Sensing and Communication
Integrated Sensing and Communication (ISAC) systems. As 6G networks advance, the need for more efficient data collection, more intelligent system adaptability, and more accurate localization results. Traditional outdoor localization methods like GPS are limited indoors due to signal blockages, under...
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| Médium: | Online |
| Jazyk: | angličtina |
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Springer Nature
2025
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| On-line přístup: | ONIX_20251020T130859_9789819693856_44 |
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| _version_ | 1869526390710206464 |
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| author | Zhu, Xiaoqiang Liu, Yuan Wang, Chunpeng |
| author_browse | Liu, Yuan Wang, Chunpeng Zhu, Xiaoqiang |
| author_facet | Zhu, Xiaoqiang Liu, Yuan Wang, Chunpeng |
| author_sort | Zhu, Xiaoqiang |
| collection | Directory of Open Access Books |
| description | Integrated Sensing and Communication (ISAC) systems. As 6G networks advance, the need for more efficient data collection, more intelligent system adaptability, and more accurate localization results. Traditional outdoor localization methods like GPS are limited indoors due to signal blockages, underscoring the need for innovative indoor localization technologies to meet the evolving requirements of modern applications. This "Open Access" book addresses key challenges in indoor localization using Channel State Information (CSI) and machine learning. It covers three core aspects: 1. More Efficient CSI Collection: Reducing human intervention in the data collection process through automated methods while ensuring high-quality, reliable data. 2. More Intelligent CSI Updates: Developing adaptive mechanisms that allow for real-time updates of CSI values, ensuring system robustness and flexibility in dynamic environments. 3. More Accurate Localization Applications: Employing advanced machine learning algorithms to improve localization precision, even in complex indoor settings. Through comprehensive theoretical insights and real-world experimental studies, this book presents the latest advancements in CSI-based indoor localization systems. The various machine learning techniques explored demonstrate their robustness and adaptability in real-world settings. Ideal for researchers, engineers, and students, this "Open Access" book provides both foundational and cutting-edge knowledge for anyone interested in developing intelligent indoor localization systems. Whether you’re new to the field or an experienced professional, this "Open Access" book offers valuable insights for advancing localization technologies in the age of ISAC and 6G. |
| format | Online |
| id | doab-20.500.12854ir-168425 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1684252025-10-21T05:30:53Z Intelligent Localization for Integrated Sensing and Communication Zhu, Xiaoqiang Liu, Yuan Wang, Chunpeng Open Access Indoor Fingerprint Localization Channel State Information Location Based Services Machine Learning Integrated Sensing and Communication Wireless Sensor Networks Internet of Things thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMS Mobile and handheld device programming / Apps programming thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP) Integrated Sensing and Communication (ISAC) systems. As 6G networks advance, the need for more efficient data collection, more intelligent system adaptability, and more accurate localization results. Traditional outdoor localization methods like GPS are limited indoors due to signal blockages, underscoring the need for innovative indoor localization technologies to meet the evolving requirements of modern applications. This "Open Access" book addresses key challenges in indoor localization using Channel State Information (CSI) and machine learning. It covers three core aspects: 1. More Efficient CSI Collection: Reducing human intervention in the data collection process through automated methods while ensuring high-quality, reliable data. 2. More Intelligent CSI Updates: Developing adaptive mechanisms that allow for real-time updates of CSI values, ensuring system robustness and flexibility in dynamic environments. 3. More Accurate Localization Applications: Employing advanced machine learning algorithms to improve localization precision, even in complex indoor settings. Through comprehensive theoretical insights and real-world experimental studies, this book presents the latest advancements in CSI-based indoor localization systems. The various machine learning techniques explored demonstrate their robustness and adaptability in real-world settings. Ideal for researchers, engineers, and students, this "Open Access" book provides both foundational and cutting-edge knowledge for anyone interested in developing intelligent indoor localization systems. Whether you’re new to the field or an experienced professional, this "Open Access" book offers valuable insights for advancing localization technologies in the age of ISAC and 6G. 2025-10-21T05:30:52Z 2025-10-21T05:30:52Z 2025-10-20T11:14:48Z 2026 book ONIX_20251020T130859_9789819693856_44 https://library.oapen.org/handle/20.500.12657/107678 9789819693856 9789819693849 https://directory.doabooks.org/handle/20.500.12854/168425 eng SpringerBriefs in Computer Science; Computer Science; Computer Science (R0) open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/107678/1/9789819693856.pdf Springer Nature Springer 10.1007/978-981-96-9385-6 10.1007/978-981-96-9385-6 9fa3421d-f917-4153-b9ab-fc337c396b5a 9789819693856 9789819693849 Springer 149 Singapore open access |
| spellingShingle | Open Access Indoor Fingerprint Localization Channel State Information Location Based Services Machine Learning Integrated Sensing and Communication Wireless Sensor Networks Internet of Things thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMS Mobile and handheld device programming / Apps programming thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP) Zhu, Xiaoqiang Liu, Yuan Wang, Chunpeng Intelligent Localization for Integrated Sensing and Communication |
| title | Intelligent Localization for Integrated Sensing and Communication |
| title_full | Intelligent Localization for Integrated Sensing and Communication |
| title_fullStr | Intelligent Localization for Integrated Sensing and Communication |
| title_full_unstemmed | Intelligent Localization for Integrated Sensing and Communication |
| title_short | Intelligent Localization for Integrated Sensing and Communication |
| title_sort | intelligent localization for integrated sensing and communication |
| topic | Open Access Indoor Fingerprint Localization Channel State Information Location Based Services Machine Learning Integrated Sensing and Communication Wireless Sensor Networks Internet of Things thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMS Mobile and handheld device programming / Apps programming thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP) |
| topic_facet | Open Access Indoor Fingerprint Localization Channel State Information Location Based Services Machine Learning Integrated Sensing and Communication Wireless Sensor Networks Internet of Things thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMS Mobile and handheld device programming / Apps programming thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP) |
| url | ONIX_20251020T130859_9789819693856_44 |
| work_keys_str_mv | AT zhuxiaoqiang intelligentlocalizationforintegratedsensingandcommunication AT liuyuan intelligentlocalizationforintegratedsensingandcommunication AT wangchunpeng intelligentlocalizationforintegratedsensingandcommunication |