Handbook of Artificial Intelligence in Green 6g Wireless Communications
暫譯: 綠色 6G 無線通訊中的人工智慧手冊

Imoize, Agbotiname Lucky, Musa, Abdulwaheed, Sei, Yuichi

  • 出版商: CRC
  • 出版日期: 2026-11-12
  • 售價: $8,120
  • 貴賓價: 9.5 折 $7,714
  • 語言: 英文
  • 頁數: 412
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041364148
  • ISBN-13: 9781041364146
  • 相關分類: 通訊系統 Communication-systems、Machine Learning
  • 尚未上市,無法訂購

相關主題

商品描述

The book begins by exploring the fundamentals of green wireless communication systems, providing a detailed overview of the core principles and candidate enabling technologies for 6G. It then discusses innovative technologies and the integration of artificial intelligence (AI)- empowered algorithms into wireless networks to promote green, sustainable environments. Additionally, the handbook presents interdisciplinary approaches and emphasizes the need for hybrid solutions to develop green and secure 6G network infrastructure.

This Book:

  • Examines the role of AI in shaping the architecture and protocols of emerging wireless systems, as well as key application areas such as traffic prediction, dynamic spectrum access, and energy efficiency
  • Discusses the incorporation of AI-based algorithms into wireless networks, enabling optimal channel estimation, traffic prediction, interference management, and resource allocation in green wireless communication systems
  • Explains advanced cryptographic techniques and physical layer security architecture specifically tailored for safeguarding wireless communication networks operating in open channels
  • Explores the latest trends in the application of AI in wireless networks and highlights the path toward AI-enabled wireless communication systems
  • Identifies future challenges and provides a roadmap for the future adoption of AI in advanced wireless communication systems

The book is primarily written for senior undergraduates, graduate students, academic researchers, and professionals in electrical engineering, electronics and communications engineering, telecommunication, wireless communication, and environmental engineering.

商品描述(中文翻譯)

本書首先探討綠色無線通訊系統的基礎,詳細介紹 6G 的核心原則與候選促成技術。接著,本書討論創新技術,以及將人工智慧(Artificial Intelligence, AI)驅動的演算法整合至無線網路中,以促進綠色且永續的環境。此外,本手冊提出跨學科的方法,並強調採用混合式解決方案,以建構綠色且安全的 6G 網路基礎架構。

本書:

• 探討 AI 在塑造新興無線系統架構與協定方面所扮演的角色,以及流量預測、動態頻譜存取和能源效率等關鍵應用領域

• 討論將以 AI 為基礎的演算法導入無線網路,使綠色無線通訊系統能夠實現最佳化通道估測、流量預測、干擾管理與資源配置

• 說明專為保護運作於開放通道中的無線通訊網路而設計的進階密碼技術與實體層安全架構

• 探索 AI 應用於無線網路的最新趨勢,並闡述邁向 AI 驅動無線通訊系統的發展方向

• 說明未來的挑戰,並為 AI 在進階無線通訊系統中的未來採用提供發展藍圖

本書主要 предназнач於電機工程、電子與通訊工程、電信、無線通訊及環境工程領域的高年級大學生、研究生、學術研究人員與專業人士。

作者簡介

Agbotiname Lucky Imoize (Senior Member, IEEE) received the B.Eng. degree (Hons.) in Electrical and Electronics Engineering from Ambrose Alli University, Nigeria, in 2008 and the M.Sc. degree in Electrical and Electronics Engineering from the University of Lagos, Nigeria, in 2012. He is a lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria. He has been a researcher at Ruhr University Bochum, Germany, under sponsorship from the Nigerian Petroleum Technology Development Fund (PTDF) and the German Academic Exchange Service (DAAD) through the Nigerian-German Postgraduate Program. He was awarded the Fulbright fellowship as a visiting researcher at the Wireless@VT Laboratory in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, USA, where he worked under the supervision of Prof. R. Michael Buehrer from 2017 to 2018. Before joining the University of Lagos, he was a Lecturer at Bells University of Technology, Nigeria. He also worked as a core network products manager at ZTE Nigeria and as a Network Switching Subsystem Engineer at Globacom Nigeria. His research interests span 6G wireless communication, wireless security systems, and artificial intelligence. Imoize is the Book Editing Officer for the ACM Emerging Interest Group on Trustworthy and Responsible Systems (EIGTRUST). He is the Vice Chair of the IEEE Communication Society Nigeria chapter, a registered engineer with the Council for the Regulation of Engineering in Nigeria, and a member of the Nigerian Society of Engineers.

Abdulwaheed Musa (Senior Member, IEEE) received the B.Eng. degree in Electrical & Computer Engineering from the Federal University of Technology, Minna, Nigeria, in 2007, the M.Sc. degree in Communication Engineering in 2012, and the Ph.D. degree in Engineering in 2015 from the International Islamic University, Malaysia, where he was nominated for the Ph.D. Best Student award. He was a Postdoctoral Research Fellow and is currently a Senior Research Associate at the Institute for Intelligent Systems, University of Johannesburg, South Africa. He is an Associate Professor in the Department of Electrical & Computer Engineering, Kwara State University, Malete, Nigeria, where he is the Founding Director of the Centre for Artificial Intelligence and Machine Learning Systems (CAMS). His research interests include wireless and mobile communication systems, artificial intelligence and machine learning, engineering intelligence, intelligent wireless networks, AI-enabled security systems, smart energy and renewable energy systems, and AI applications for sustainable development. Dr. Musa has secured competitive research grants and has led multidisciplinary research projects. He is the recipient of the Kwara State University Researcher of the Year Award for two consecutive academic sessions, 2023/2024 and 2024/2025, in recognition of his outstanding research contributions. He serves as a reviewer for journals and conferences, including IEEE publications, and has contributed to the editorial development of several scholarly publications. He has attended international events, including ITU Telecom World and the World Economic Forum on Africa, where he contributed to discussions on emerging technologies and digital transformation. Dr. Musa is also a member of the Institution of Engineering and Technology (IET) and a registered engineer with the Council for the Regulation of Engineering in Nigeria (COREN).

Yuichi Sei received his Ph.D. degree in Information Science and Technology from the University of Tokyo in 2009. From 2009 to 2012, he worked at the Mitsubishi Research Institute. In 2013, he joined the University of Electro-Communications, where he currently serves as a professor in the Graduate School of Informatics and Engineering. He also serves as a senior fellow at the Mitsubishi Research Institute, an adjunct researcher at Waseda University, and a visiting professor at the National Institute of Informatics. Additionally, he serves as secretary of the IEEE Computer Society Tokyo/Japan Joint Chapter. His current research interests include artificial intelligence, privacy-preserving data mining, and software engineering. He received the IPSJ/IEEE Computer Society Young Computer Researcher Award in 2021 and is a member of IEEE.

Cristian Randieri is a proactive and visionary academic with over 15 years of active research in experimental nuclear physics. He has conducted studies at leading international laboratories, including CERN, ESRF, and INFN. His research interests encompass hi-tech solutions, advanced industrial applications, and artificial intelligence. Prof. Randieri is a prolific author, with more than 400 scientific and technical publications. He is the founder of Intellisystem Technologies, an Italian research and development company dedicated to creating and commercializing advanced technological solutions. Prof. Randieri currently holds a faculty position at eCampus University and teaches Computer Vision, Databases, and Human-Machine Interfaces. He is also a member of the Forbes Technology Council and a group leader of the Scientific Research & Business group. He collaborates with the Giunta Lab and is.Lab() at Sapienza University of Rome, and serves as EMEA Director of Kwaai, a nonprofit organization committed to democratizing personal AI through open-source technologies.

作者簡介(中文翻譯)

Agbotiname Lucky Imoize(IEEE資深會員)於2008年取得奈及利亞 Ambrose Alli University 電機與電子工程學榮譽工程學士學位,並於2012年取得奈及利亞 Lagos University 電機與電子工程理學碩士學位。他目前任教於奈及利亞 Lagos University 電機與電子工程系。他曾在德國 Ruhr University Bochum 擔任研究員,研究工作獲奈及利亞石油技術發展基金(Nigerian Petroleum Technology Development Fund, PTDF)及德國學術交流總署(German Academic Exchange Service, DAAD)透過奈及利亞—德國研究生計畫提供的獎助支持。2017年至2018年間,他獲 Fulbright fellowship,擔任美國 Virginia Tech Bradley Department of Electrical and Computer Engineering Wireless@VT Laboratory 訪問研究員,並在 R. Michael Buehrer 教授指導下從事研究。加入 Lagos University 前,他曾任教於奈及利亞 Bells University of Technology。他也曾任職於 ZTE Nigeria,擔任核心網路產品經理,並曾在 Globacom Nigeria 擔任網路交換子系統工程師。他的研究興趣涵蓋 6G 無線通訊、無線安全系統及人工智慧。Imoize 擔任 ACM Emerging Interest Group on Trustworthy and Responsible Systems(EIGTRUST)的書籍編輯主管。他是 IEEE Communication Society Nigeria chapter 的副主席、奈及利亞工程監管委員會(Council for the Regulation of Engineering in Nigeria)註冊工程師,以及 Nigerian Society of Engineers 會員。

Abdulwaheed Musa(IEEE資深會員)於2007年取得奈及利亞 Federal University of Technology, Minna 電機與電腦工程學士學位,2012年取得 International Islamic University, Malaysia 通訊工程理學碩士學位,並於2015年取得該校工程學博士學位;他曾獲提名角逐博士班最佳學生獎。 他曾任 University of Johannesburg Institute for Intelligent Systems 博士後研究員,目前為該研究所的高級研究助理。他同時擔任奈及利亞 Malete 的 Kwara State University 電機與電腦工程系副教授,並是該校人工智慧與機器學習系統中心(Centre for Artificial Intelligence and Machine Learning Systems, CAMS)的創始主任。他的研究興趣包括無線與行動通訊系統、人工智慧與機器學習、工程智慧、智慧型無線網路、AI 賦能安全系統、智慧能源與再生能源系統,以及人工智慧在永續發展上的應用。Musa 博士曾取得具競爭性的研究補助,並領導多項跨領域研究計畫。他連續兩個學年度(2023/2024及2024/2025)獲頒 Kwara State University 年度研究人員獎,以表彰其傑出的研究貢獻。他擔任包括 IEEE 出版品在內之期刊與研討會的審稿人,並參與多份學術出版品的編輯發展工作。他曾參加包括 ITU Telecom World 及 World Economic Forum on Africa 在內的國際活動,並在其中針對新興技術與數位轉型議題參與討論。Musa 博士也是 Institution of Engineering and Technology(IET)會員,並為奈及利亞工程監管委員會(Council for the Regulation of Engineering in Nigeria, COREN)註冊工程師。

Yuichi Sei 於2009年取得 University of Tokyo 資訊科學與技術博士學位。2009年至2012年間,他任職於 Mitsubishi Research Institute。2013年,他加入 University of Electro-Communications,目前擔任該校 Graduate School of Informatics and Engineering 教授。他也擔任 Mitsubishi Research Institute 高級研究員、Waseda University 兼任研究員,以及 National Institute of Informatics 訪問教授。此外,他擔任 IEEE Computer Society Tokyo/Japan Joint Chapter 秘書。他目前的研究興趣包括人工智慧、隱私保護資料探勘及軟體工程。他於2021年獲頒 IPSJ/IEEE Computer Society Young Computer Researcher Award,並為 IEEE 會員。

Cristian Randieri 是一位積極進取且具遠見的學者,在實驗核物理領域從事研究超過15年。他曾在 CERN、ESRF 及 INFN 等國際頂尖實驗室進行研究。他的研究興趣涵蓋高科技解決方案、先進工業應用及人工智慧。Randieri 教授著作豐富,已發表超過400篇科學與技術出版品。他創立了 Intellisystem Technologies,這是一家致力於創造及商業化先進技術解決方案的義大利研究與開發公司。Randieri 教授目前任教於 eCampus University,教授 Computer Vision、Databases 及 Human-Machine Interfaces。他也是 Forbes Technology Council 會員及 Scientific Research & Business 團隊領導者。他與 Sapienza University of Rome 的 Giunta Lab 及 is.Lab() 合作,並擔任 Kwaai 的 EMEA 區域主任。Kwaai 是一個致力於透過開放原始碼技術,讓個人 AI 普及化的非營利組織。