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Titlebook: Reinforcement Learning for Maritime Communications; Liang Xiao,Helin Yang,Minghui Min Book 2023 The Editor(s) (if applicable) and The Auth

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發(fā)表于 2025-3-21 18:33:25 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Reinforcement Learning for Maritime Communications
編輯Liang Xiao,Helin Yang,Minghui Min
視頻videohttp://file.papertrans.cn/826/825939/825939.mp4
概述Investigates a research area beyond 5G (B5G) communications.Provides the fundamental principles for secure and reliable communications in maritime scenarios.Covers various research aspects, including
叢書名稱Wireless Networks
圖書封面Titlebook: Reinforcement Learning for Maritime Communications;  Liang Xiao,Helin Yang,Minghui Min Book 2023 The Editor(s) (if applicable) and The Auth
描述This book demonstrates that the reliable and secure communication performance of maritime communications can be significantly improved by using intelligent reflecting surface (IRS) aided communication, privacy-aware Internet of Things (IoT) communications, intelligent resource management and location privacy protection. In the IRS aided maritime communication system, the reflecting elements of? IRS can be intelligently controlled to change the phase of signal, and finally enhance the received signal strength of maritime ships (or sensors) or jam maritime eavesdroppers illustrated in this book..The power and spectrum resource in maritime communications can be jointly optimized to guarantee the quality of service (i.e., security and reliability requirements), and reinforcement leaning is adopted to smartly choose the resource allocation strategy. Moreover, learning based privacy-aware offloading and location privacy protection are proposed to intelligently guarantee the privacy-preserving requirements of maritime ships or (sensors). Therefore, these communication schemes based on reinforcement learning algorithms can help maritime communication systems to improve the information secu
出版日期Book 2023
關(guān)鍵詞Maritime Wireless Communications; Security; Reliability; Intelligent Reflecting Surface; Privacy-Aware O
版次1
doihttps://doi.org/10.1007/978-3-031-32138-2
isbn_softcover978-3-031-32140-5
isbn_ebook978-3-031-32138-2Series ISSN 2366-1186 Series E-ISSN 2366-1445
issn_series 2366-1186
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 21:04:02 | 只看該作者
Liang Xiao,Helin Yang,Minghui MinInvestigates a research area beyond 5G (B5G) communications.Provides the fundamental principles for secure and reliable communications in maritime scenarios.Covers various research aspects, including
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發(fā)表于 2025-3-22 04:01:31 | 只看該作者
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Wireless Networkshttp://image.papertrans.cn/r/image/825939.jpg
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發(fā)表于 2025-3-22 17:59:20 | 只看該作者
Introduction,ommunications. Maritime communication networks support ship-to-ship, ship-to-shore, and ship-to-sensor communications, where channel interference mitigation, reliable communication, secure transmission, and jamming resistance are important. In this chapter, we review related works and summarize the
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發(fā)表于 2025-3-23 01:23:58 | 只看該作者
Learning-Based Privacy-Aware Maritime IoT Communications,maritime communication systems, such as real-time cargo status notification, emergency rescue in maritime affairs, and accurate early warning. In this chapter, we present an RL-based privacy-aware offloading scheme to help maritime IoT devices protect both the user location privacy and the usage pat
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