Reinforcement Learning for Maritime Communications
Xiao, Liang, Yang, Helin, Zhuang, Weihua
- 出版商: Springer
- 出版日期: 2024-08-13
- 售價: $5,970
- 貴賓價: 9.5 折 $5,672
- 語言: 英文
- 頁數: 146
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031321405
- ISBN-13: 9783031321405
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相關分類:
Reinforcement、DeepLearning
海外代購書籍(需單獨結帳)
相關主題
商品描述
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 security, especially in dynamic and complex maritime environments.
This timely book also provides broad coverage of the maritime wireless communication issues, such as reliability, security, resource management, and privacy protection. Reinforcement learning based methods are applied to solve these issues. This book includes four rigorously refereed chapters from prominent international researchers working in this subject area. The material serves as a useful reference for researchers, graduate students. Practitioners seeking solutions to maritime wireless communication and security related issues will benefit from this book as well.
商品描述(中文翻譯)
本書展示了透過使用智能反射面（IRS）輔助通信、注重隱私的物聯網（IoT）通信、智能資源管理和位置隱私保護，可以顯著改善海事通信的可靠性和安全性。在IRS輔助的海事通信系統中，IRS的反射元件可以被智能控制以改變信號的相位，最終增強海事船舶（或傳感器）的接收信號強度，或干擾海事竊聽者，如本書所示。
海事通信中的功率和頻譜資源可以共同優化，以保證服務質量（即安全性和可靠性要求），並採用強化學習來智能選擇資源分配策略。此外，提出了基於學習的注重隱私的卸載和位置隱私保護，以智能地保證海事船舶或（傳感器）的隱私保護需求。因此，這些基於強化學習算法的通信方案可以幫助海事通信系統提高信息安全性，特別是在動態和複雜的海事環境中。
本書及時提供了海事無線通信問題的廣泛覆蓋，例如可靠性、安全性、資源管理和隱私保護。基於強化學習的方法被應用於解決這些問題。本書包含四個經過嚴格審稿的章節，來自於在此領域工作的知名國際研究者。這些材料對於研究人員和研究生來說是有用的參考。尋求海事無線通信和安全相關問題解決方案的實務工作者也將從本書中受益。
作者簡介
Helin Yang (Member, IEEE) received the B.S. and M.S. degrees from the School of Telecommunications Information Engineering, Chongqing University of Posts and Telecommunications, in 2013 and 2016, respectively, and the Ph.D. degree from the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, in 2020. He is currently an Associate Professor with the Department of Information and Communication Engineering, Xiamen University, Xiamen, China. His current research interests include wireless communication, the Internet of Things, and resource management.
Weihua Zhuang (Fellow, IEEE) received the B.Sc. and M.Sc. degrees from Dalian Marine University, China, and the Ph.D. degree from the University of New Brunswick, Canada, all in electrical engineering. She is a University Professor and a Tier I Canada Research Chair in wireless communication networks at the University of Waterloo, Canada. Her research focuses on network architecture, algorithms and protocols, and service provisioning in future communication systems. She is an Elected Member of the Board of Governors and the Executive Vice President of the IEEE Vehicular Technology Society. She is a fellow of the Royal Society of Canada, the Canadian Academy of Engineering, and the Engineering Institute of Canada. She was a recipient of 2021 Women's Distinguished Career Award from the IEEE Vehicular Technology Society, the 2021 Technical Contribution Award in Cognitive Networks from IEEE Communications Society, the 2021 R. A. Fessenden Award from IEEE Canada, and the 2021 Award of Merit from the Federation of Chinese Canadian Professionals in Ontario. She was the General Co-Chair of 2021 IEEE/CIC International Conference on Communications in China (ICCC), the Technical Program Chair/Co-Chair of 2017/2016 IEEE VTC Fall, the Technical Program Symposia Chair of 2011 IEEE GLOBECOM, an IEEE Communications Society Distinguished Lecturer from 2008 to 2011, and the Editor-in-Chief of the IEEE Transactions on Vehicular Technology from 2007 to 2013.
Minghui Min (Member, IEEE) receivedthe B.S. degree in automation from QuFu Normal University, Rizhao, China, in 2013, the M.S. degree in control theory and control engineering from Shenyang Ligong University, joint training with, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, in 2016, and the Ph.D. degree with the Department of Information and Communication Engineering, Xiamen University, Xiamen, China, in 2020. She was a Visiting Scholar with the Department of Computer Science and Engineering, University of Houston, Houston, TX, USA. She is currently a Lecturer with the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China. Her research interests include privacy, network security, and wireless communications.
作者簡介(中文翻譯)
梁曉（IEEE 高級會員）於2000年獲得中國南京郵電大學通信工程學士學位，2003年獲得中國清華大學電氣工程碩士學位，並於2009年獲得美國新澤西州羅格斯大學電氣工程博士學位。她曾擔任普林斯頓大學、維吉尼亞理工大學及馬里蘭大學（公園校區）的訪問教授。目前，她是中國廈門大學信息與通信工程系的教授。她曾獲得2016年INFOCOM大安全工作坊及2017年ICC的最佳論文獎。她曾擔任《IEEE信息取證與安全期刊》的副編輯及《IEEE選定信號處理主題期刊》的客座編輯。
楊赫林（IEEE 會員）於2013年和2016年分別獲得重慶郵電大學通信信息工程學院的學士及碩士學位，並於2020年獲得新加坡南洋理工大學電氣與電子工程學院的博士學位。目前，他是中國廈門大學信息與通信工程系的副教授。他的研究興趣包括無線通信、物聯網及資源管理。
莊偉華（IEEE 會士）於中國大連海事大學獲得學士及碩士學位，並於加拿大新不倫瑞克大學獲得電氣工程博士學位。她是加拿大滑鐵盧大學的教授及無線通信網絡的Tier I 加拿大研究主席。她的研究重點在於未來通信系統中的網絡架構、算法與協議及服務提供。她是IEEE車輛技術學會董事會的當選成員及執行副會長。她是加拿大皇家學會、加拿大工程學院及加拿大工程學會的會士。她曾獲得2021年IEEE車輛技術學會女性傑出職業獎、2021年IEEE通信學會認知網絡技術貢獻獎、2021年IEEE加拿大R.A. Fessenden獎及2021年安大略省華人專業人士聯合會的優異獎。她曾擔任2021年IEEE/CIC中國通信國際會議（ICCC）的共同主席，2017/2016年IEEE VTC秋季會議的技術程序主席/共同主席，2011年IEEE GLOBECOM的技術程序研討會主席，並於2008至2011年擔任IEEE通信學會的傑出講者，以及2007至2013年擔任《IEEE車輛技術期刊》的主編。
閔明輝（IEEE 會員）於2013年獲得中國曲阜師範大學自動化學士學位，2016年獲得沈陽理工大學（與中國科學院沈陽自動化研究所聯合培訓）控制理論與控制工程碩士學位，並於2020年獲得中國廈門大學信息與通信工程系的博士學位。她曾擔任美國休斯頓大學計算機科學與工程系的訪問學者。目前，她是中國礦業大學（徐州）的信息與控制工程學院講師。她的研究興趣包括隱私、網絡安全及無線通信。
