| 書(shū)目名稱 | Reinforcement Learning for Maritime Communications | | 編輯 | Liang Xiao,Helin Yang,Minghui Min | | 視頻video | http://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(shū)名稱 | Wireless Networks | | 圖書(shū)封面 |  | | 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 | | doi | https://doi.org/10.1007/978-3-031-32138-2 | | isbn_softcover | 978-3-031-32140-5 | | isbn_ebook | 978-3-031-32138-2Series ISSN 2366-1186 Series E-ISSN 2366-1445 | | issn_series | 2366-1186 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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