Distributed Artificial Intelligence for 5g/6g Communications: Frameworks with Machine Learning
暫譯: 5G/6G 通訊的分散式人工智慧：結合機器學習的框架
Ioannou, Iacovos, Nagaradjane, Prabagarane, Vassiliou, Vasos
- 出版商: CRC
- 出版日期: 2024-12-24
- 售價: $4,590
- 貴賓價: 9.5 折 $4,361
- 語言: 英文
- 頁數: 238
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032744359
- ISBN-13: 9781032744353
-
相關分類:
5G、人工智慧、Machine Learning
海外代購書籍(需單獨結帳)
商品描述
The aim of this book is to delineate the challenges faced by new generation mobile networks, such as 5G and forthcoming 6G, and introduce the concept of addressing these challenges through the development of a novel Distributed AI (DAI) framework. The book proposes a distributed AI approach to handle these complexities effectively.
Distributed Artificial Intelligence for 5G/6G Communications: Frameworks with Machine Learning aims to provide a comprehensive understanding of the proposed DAI framework, its architecture, implementation, and application in the context of D2D communication in 5G and beyond networks. It showcases how the framework can enhance decision-making, control, and communication performance while considering both static and dynamic network environments. The book delves into the advantages of D2D communication, highlighting how it transcends licensed frequency bands and bypasses the cellular network, leading to improved network metrics such as spectral efficiency, energy efficiency, data rates, and interference management. It concludes by emphasizing that the DAI framework can offer enhanced network control, reduced signaling overhead, and efficient decision-making while capitalizing on existing implementations to tackle various challenges across the 5G and 6G landscape.
This book is intended for professionals that specialize in designing, implementing, and maintaining communication networks such as telecommunications/ communication engineers, wireless engineers. The book's emphasis on incorporating AI and ML techniques in the proposed framework also makes it of interest to computer and software engineers working in artificial intelligence and machine learning engineers.
商品描述(中文翻譯)
本書的目的是闡明新一代行動網路（如5G及即將到來的6G）所面臨的挑戰，並介紹通過開發一個新穎的分散式人工智慧（Distributed AI, DAI）框架來應對這些挑戰的概念。本書提出了一種分散式人工智慧的方法，以有效處理這些複雜性。
《5G/6G通訊的分散式人工智慧：結合機器學習的框架》旨在提供對所提DAI框架的全面理解，包括其架構、實施及在5G及未來網路中D2D通訊的應用。它展示了該框架如何在考慮靜態和動態網路環境的同時，增強決策、控制和通訊性能。本書深入探討D2D通訊的優勢，強調其如何超越授權頻段並繞過行動網路，從而改善網路指標，如頻譜效率、能源效率、數據速率和干擾管理。最後強調，DAI框架可以提供增強的網路控制、減少的信號開銷和高效的決策，同時利用現有的實施來應對5G和6G領域中的各種挑戰。
本書適合專注於設計、實施和維護通訊網路的專業人士，如電信/通訊工程師和無線工程師。本書對於在所提框架中融入人工智慧和機器學習技術的重視，也使其對於從事人工智慧和機器學習的計算機及軟體工程師具有吸引力。
作者簡介
Dr. Iacovos Ioannou is a researcher affiliated with CYENS and the Networks Research Laboratory at the University of Cyprus. His research focuses on emerging fields including mobile and Internet of Things (IoT) network security, 5G and 6G wireless communications, and the incorporation of Distributed Artificial Intelligence (DAI), Artificial Intelligence (AI), and Machine Learning (ML) in device-to-device (D2D) communications. His areas of competence encompass a wide range of activities, including the analysis, development, installation, and maintenance of IT systems and applications.
Dr. Prabagarane Nagaradjane is an Associate Professor with the Department of Electronics and Communication Engineering, SSN Institutions. He received M.Tech and Ph.D. degrees in ECE from Pondicherry Engineering College, Pondicherry (Central) University. Before this, he was with HCL Info Systems for a brief period of two years. His research interests include various aspects of wireless communications, especially concerning signal processing for wireless and broadband communications and AI/ML applications in wireless communications.
Dr. Vasos Vassiliou is an Associate Professor with the Computer Science Department of the University of Cyprus and the co-director of the Networks Research Laboratory (NetRL) at UCY (founded by Prof. A. Pitsillides). He is also the Group Leader of the Smart Networked Systems Research Group of the RISE Center of Excellence on Interactive Media, Smart Systems and Emerging Technologies, situated in Nicosia, Cyprus. Dr. Vassiliou has been appointed by the Senate of the University of Cyprus to the Board of Directors of CYNET, the National Research and Educational Network, where he has served as the Chair since 2016.
Dr. Andreas Pitsillides is Emeritus Professor in the Department of Computer Science, University of Cyprus and Visiting Professor Department of Electrical & Electronic Engineering Science, University of Johannesburg. He was co-director of the Networks Research Laboratory (UCY) and was appointed Visiting Professor at the University of the Witwatersrand (Wits), School of Electrical and Information Engineering. His broad research interests include communication networks, including Programmable Wireless Environments enabled by Software Defined Metamaterials (Reconfigurable Intelligent Surfaces), Nanonetworks (bio and e-m), the Internet- of Things, Smart Systems (e.g. Smart Grid), Smart Spaces (e.g. Home, City), and e-health.
Dr. Christophoros Christophorou completed his undergraduate and graduate studies at the University of Cyprus (B.Sc. in Computer Science and M.Sc. in Advanced Computer Technologies, 2002 and 2005). He received his PhD, also at the University of Cyprus, in the area of Mobile/Wireless Networks in 2011. His main research interests and expertise are primarily concentrated in the Telecommunications and Networking research fields but also include Database Management Systems, Social Collaborative Care Networks and Information and Communication Technology (ICT) personalised solutions (for various sectors, including the eHealth domain).
作者簡介(中文翻譯)
伊亞科沃斯·伊奧安努博士是與賽普勒斯大學的CYENS及網絡研究實驗室相關的研究人員。他的研究專注於新興領域，包括行動和物聯網（IoT）網絡安全、5G和6G無線通信，以及在設備對設備（D2D）通信中整合分散式人工智慧（DAI）、人工智慧（AI）和機器學習（ML）。他的專業領域涵蓋廣泛的活動，包括IT系統和應用的分析、開發、安裝和維護。
普拉巴卡拉內·納加拉詹博士是SSN機構電子與通信工程系的副教授。他在龐迪榭里工程學院（龐迪榭里中央大學）獲得了電子與通信工程的碩士和博士學位。在此之前，他曾在HCL資訊系統工作了兩年。他的研究興趣包括無線通信的各個方面，特別是針對無線和寬頻通信的信號處理以及在無線通信中的AI/ML應用。
瓦索斯·瓦西里烏博士是賽普勒斯大學計算機科學系的副教授，也是賽普勒斯大學網絡研究實驗室（NetRL）的共同主任（該實驗室由A. Pitsillides教授創立）。他還是位於賽普勒斯尼科西亞的RISE卓越中心智能網絡系統研究小組的組長，該中心專注於互動媒體、智能系統和新興技術。瓦西里烏博士被賽普勒斯大學參議院任命為國家研究與教育網絡CYNET的董事會成員，自2016年以來擔任主席。
安德烈亞斯·皮茲西利德斯博士是賽普勒斯大學計算機科學系的名譽教授，並擔任約翰尼斯堡大學電氣與電子工程系的訪問教授。他曾是網絡研究實驗室（UCY）的共同主任，並被任命為威特沃特斯蘭大學（Wits）電氣與信息工程學院的訪問教授。他的廣泛研究興趣包括通信網絡，包括由軟體定義超材料（可重構智能表面）啟用的可編程無線環境、納米網絡（生物和電子）、物聯網、智能系統（例如智能電網）、智能空間（例如家庭、城市）和電子健康。
克里斯多福羅斯·克里斯多福魯博士在賽普勒斯大學完成了本科和研究生學業（計算機科學學士及先進計算技術碩士，分別於2002年和2005年）。他於2011年在賽普勒斯大學獲得了移動/無線網絡領域的博士學位。他的主要研究興趣和專業主要集中在電信和網絡研究領域，但也包括數據庫管理系統、社會協作護理網絡以及信息和通信技術（ICT）個性化解決方案（針對各個領域，包括電子健康領域）。
