Artificial Intelligence-Based 6g Networking

Roy, Radhika Ranjan

Artificial Intelligence-Based 6g Networking
  • 出版商: Auerbach Publication
  • 出版日期: 2024-12-20
  • 售價: $2,500
  • 貴賓價: 9.5 折 $2,375
  • 語言: 英文
  • 頁數: 328
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032813717
  • ISBN-13: 9781032813714
  • 相關分類: 人工智慧

    • 尚未上市，無法訂購

相關主題

商品描述

Artificial Intelligence-Based 6G Networking focuses exclusively on the upcoming sixth generation (6G) network and services slated for implementation by 2030. It explores the paradigm shift that is 6G. It discusses the deep integration of computing and communication, supported by artificial intelligence (AI) across network elements like cloud, edge, and terminals. It also examines how AI-native interfaces will permeate various network components, from radio access networks to application servers and databases.

Proposing a unified AI-enabled framework for optimizing networks and applications as a single integrated system, the book covers how network service providers can tailor network baselines, reduce noise, and accurately identify issues. The book delves into the potential of AI-driven networks to self-correct, predict, and rectify service degradations proactively, enhancing uptime and troubleshooting efficiency. It outlines the "Connection, Communication, Collaboration, Curation, and Community" framework to enhance network effects, aiding operators in automation, cost reduction, and providing optimal user experiences.

Covering topics from MIMO and massive MIMO to cybersecurity and quantum communications, the book explores cutting-edge technologies shaping the future of 6G networks. It anticipates a future where AI, along with machine learning and deep learning, enables continuous learning, self-optimization, and predictive maintenance, even with full automation, that will be the hallmark of a new era in network connectivity and innovation.

商品描述(中文翻譯)

《基於人工智慧的6G網路》專注於即將於2030年實施的第六代（6G）網路及服務。它探討了6G所帶來的範式轉變，討論了計算與通信的深度整合，並由人工智慧（AI）支持的雲端、邊緣及終端等網路元素。書中還檢視了AI原生介面如何滲透到各種網路組件中，從無線接入網路到應用伺服器和資料庫。

本書提出了一個統一的AI驅動框架，以優化網路和應用作為一個整合系統，涵蓋了網路服務提供商如何調整網路基線、減少噪音並準確識別問題。書中深入探討了AI驅動的網路自我修正、預測及主動糾正服務降級的潛力，提升了正常運行時間和故障排除的效率。它概述了「連接、通信、協作、策展和社群」的框架，以增強網路效應，幫助運營商實現自動化、降低成本並提供最佳的用戶體驗。

本書涵蓋從MIMO和大規模MIMO到網路安全和量子通信等主題，探索塑造6G網路未來的尖端技術。它預見了一個未來，人工智慧、機器學習和深度學習將實現持續學習、自我優化和預測性維護，即使在完全自動化的情況下，這將成為網路連接和創新的新時代的標誌。

作者簡介

Radhika Ranjan Roy is an electronics engineer, US Army Research, Development, and Engineering Command (RDECOM), Communications-Electronics Research, Development, and Engineering Center (CERDEC), Space and Terrestrial Communications Directorate (S&TCD) Laboratories, Aberdeen Proving Ground (APG), Maryland, since 2009. Before joining to US Army Research, he worked in various capacities in CACI, SAIC, AT&T/Bell Laboratories, CSC, and PDB since his graduation. He earned his PhD in electrical engineering with major in computer communications from the City University of New York, New York, in 1984, and MS in electrical engineering from the Northeastern University, Boston, Massachusetts, in 1978. He received his BS in electrical engineering from the Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, in 1967. He has published more than 50 technical papers. He is holding and/or submitted over 30 patents. He authored a book titled Handbook of Mobile Ad Hoc Networks on Mobility Models in 2010.

作者簡介(中文翻譯)

Radhika Ranjan Roy 是一位電子工程師，自 2009 年以來在美國陸軍研究、發展與工程指揮部 (RDECOM) 的通訊電子研究、發展與工程中心 (CERDEC) 的空間與地面通訊署 (S&TCD) 實驗室工作，位於馬里蘭州的阿伯丁試驗場 (APG)。在加入美國陸軍研究之前，他曾在 CACI、SAIC、AT&T/Bell Laboratories、CSC 和 PDB 擔任多個職位，自畢業以來一直如此。他於 1984 年在紐約市立大學獲得電機工程博士學位，主修計算機通訊，並於 1978 年在麻薩諸塞州波士頓的東北大學獲得電機工程碩士學位。他於 1967 年在孟加拉國達卡的孟加拉工程與科技大學獲得電機工程學士學位。他已發表超過 50 篇技術論文，持有和/或提交超過 30 項專利。他於 2010 年撰寫了一本名為《Handbook of Mobile Ad Hoc Networks on Mobility Models》的書籍。

類似商品