AI-Enabled 6G Networks and Applications
暫譯: AI 驅動的 6G 網絡與應用

Gupta, Deepak

AI-Enabled 6G Networks and Applications
  • 出版商: Wiley
  • 出版日期: 2022-12-12
  • 售價: $3,810
  • 貴賓價: 9.5 折 $3,620
  • 語言: 英文
  • 頁數: 176
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 111981264X
  • ISBN-13: 9781119812647

    • 海外代購書籍(需單獨結帳)

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商品描述

AI-ENABLED 6G NETWORKS AND APPLICATIONS

Provides authoritative guidance on utilizing AI techniques in 6G network design and optimization

Written and edited by active researchers, this book covers hypotheses and practical considerations and provides insights into the design of evolutionary AI algorithms for 6G networks, with focus on network transparency, interpretability and simulatability for vehicular networks, space systems, surveillance systems and their usages in different emerging engineering fields.

AI-Enabled 6G Networks and Applications includes a review of AI techniques for 6G Networks and will focus on deployment of AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management. This book includes the design of a set of evolutionary AI hybrid algorithms with communication protocols, showing how to use them in practice to solve problems relating to vehicular networks, aerial networks, and communication networks.

  • Reviews various types of AI techniques such as AI-empowered mobile edge computing, intelligent handover management, and smart spectrum management
  • Describes how AI techniques manage computation efficiency, algorithm robustness, hardware development, and energy management
  • Identifies and provides solutions to problems in current 4G/5G networks and emergent 6G architectures
  • Discusses privacy and security issues in IoT-enabled 6G Networks
  • Examines the use of machine learning to achieve closed-loop optimization and intelligent wireless communication

AI-Enabled 6G Networks and Applications is an essential reference guide to advanced hybrid computational intelligence methods for 6G supportive networks and protocols, suitable for graduate students and researchers in network forensics and optimization, computer science, and engineering.

商品描述(中文翻譯)

**AI啟用的6G網路與應用**

**提供有關在6G網路設計與優化中利用AI技術的權威指導**

本書由活躍的研究者撰寫和編輯，涵蓋假設和實際考量，並提供有關6G網路演進性AI演算法設計的見解，重點在於網路透明度、可解釋性和可模擬性，適用於車輛網路、空間系統、監控系統及其在不同新興工程領域中的應用。

《AI啟用的6G網路與應用》包括對6G網路AI技術的回顧，並將重點放在部署AI技術以有效且高效地優化網路性能，包括AI驅動的移動邊緣計算、智能移動性和切換管理，以及智能頻譜管理。本書包括一套演進性AI混合演算法的設計，並配有通訊協議，展示如何在實踐中使用它們來解決與車輛網路、空中網路和通訊網路相關的問題。

- 回顧各種AI技術類型，如AI驅動的移動邊緣計算、智能切換管理和智能頻譜管理
- 描述AI技術如何管理計算效率、演算法穩健性、硬體開發和能源管理
- 確定並提供解決方案以應對當前4G/5G網路和新興6G架構中的問題
- 討論IoT啟用的6G網路中的隱私和安全問題
- 檢視機器學習在實現閉環優化和智能無線通訊中的應用

《AI啟用的6G網路與應用》是針對6G支持網路和協議的先進混合計算智能方法的重要參考指南，適合研究網路取證和優化、計算機科學及工程的研究生和研究人員。

作者簡介

Deepak Gupta, Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India. His research interests include intelligent data analysis, nature-inspired computing, machine learning, and soft computing.

Mahmoud Ragab, PhD., Department of Information Technology, King Abdulaziz University, Saudi Arabia. Head of the Biological Quantum Computing Unit in the Centre for Artificial Intelligence in Precision Medicine. Associate Professor, Mathematics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt.

Romany Fouad Mansour, PhD., Department of Mathematics, New Valley University, Egypt. His research interests include Artificial Intelligence, Pattern Recognition, Computer Vision, Computer Networks, Soft Computing, Image Processing, Bioinformatics and Evolutionary Computation.

Aditya Khamparia, Assistant Professor, Baba Saheb Bhimrao Amedkar (Central) University, Amethi, India. His teaching and research focus on machine learning, deep learning, educational technologies, and computer vision.

Ashish Khanna, Assistant Professor, Maharaja Agrasen Institute of Technology, Delhi, India. He has extensive academic and industry experience in areas such as image processing, distributed systems, and machine learning.

作者簡介(中文翻譯)

Deepak Gupta, 印度德里Maharaja Agrasen科技學院計算機科學與工程系助理教授。他的研究興趣包括智能數據分析、自然啟發計算、機器學習和軟計算。

Mahmoud Ragab, PhD., 沙烏地阿拉伯阿卜杜勒阿齊茲國王大學資訊科技系。精準醫學人工智慧中心生物量子計算單位負責人。埃及開羅阿茲哈大學數學系副教授。

Romany Fouad Mansour, PhD., 埃及新谷大學數學系。他的研究興趣包括人工智慧、模式識別、計算機視覺、計算機網絡、軟計算、圖像處理、生物資訊學和進化計算。

Aditya Khamparia, 印度阿梅提Baba Saheb Bhimrao Amedkar（中央）大學助理教授。他的教學和研究重點在於機器學習、深度學習、教育技術和計算機視覺。

Ashish Khanna, 印度德里Maharaja Agrasen科技學院助理教授。他在圖像處理、分散式系統和機器學習等領域擁有豐富的學術和產業經驗。

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