Networked Artificial Intelligence: AI-Enabled 5G Networking

Roy, Radhika Ranjan

Networked Artificial Intelligence: AI-Enabled 5G Networking
  • 出版商: Auerbach Publication
  • 出版日期: 2024-10-30
  • 售價: $2,310
  • 貴賓價: 9.5 折 $2,195
  • 語言: 英文
  • 頁數: 201
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032813695
  • ISBN-13: 9781032813691
  • 相關分類: 5G、人工智慧

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相關主題

商品描述

The integration of fifth generation (5G) wireless technologies with distributed artificial intelligence (AI) is transforming network operations. AI is increasingly embedded in all network elements, from cloud and edge to terminal devices, enabling AI to function as a networking system. This convergence facilitates AI-based applications across the global network, with notable successes in various domains such as computer vision, natural language processing, and healthcare. Networked Artificial Intelligence: AI-Enabled 5G Networking a comprehensive framework for the deep integration of computing and communications, optimizing networks and applications as a unified system using AI.

The book covers topics ranging from networked AI fundamentals to AI-enabled 5G networks, including agent modeling, machine learning (ML) algorithms, and network protocol architectures. It discusses how network service providers can leverage AI and ML techniques to customize network baselines, reduce noise, and accurately identify issues. It also looks at AI-driven networks that enable self-correction for maximum uptime and prescriptive actions for issue resolution, as well as troubleshooting by capturing and storing data before network events.

The book presents a comprehensive approach to AI-enabled networking that offers unprecedented opportunities for efficiency, reliability, and innovation in telecommunications. It works through the approach's five steps of connection, communication, collaboration, curation, and community. These steps enhance network effects, empowering operators with insights for trusted automation, cost reduction, and optimal user experiences. The book also discusses AI and ML capabilities that enable networks to continuously learn, self-optimize, and predict and rectify service degradations proactively, even with full automation.

商品描述(中文翻譯)

第五代（5G）無線技術與分散式人工智慧（AI）的整合正在改變網路運營。AI 越來越多地嵌入到所有網路元素中，從雲端和邊緣到終端設備，使 AI 能夠作為一個網路系統運作。這種融合促進了基於 AI 的應用在全球網路中的發展，在計算機視覺、自然語言處理和醫療保健等各個領域取得了顯著成功。《網路化人工智慧：AI 驅動的 5G 網路》提供了一個全面的框架，實現計算與通信的深度整合，利用 AI 將網路和應用優化為一個統一的系統。

本書涵蓋的主題從網路化 AI 基礎知識到 AI 驅動的 5G 網路，包括代理建模、機器學習（ML）算法和網路協議架構。它討論了網路服務提供商如何利用 AI 和 ML 技術來自訂網路基線、減少噪音並準確識別問題。書中還探討了 AI 驅動的網路，這些網路能夠實現自我修正以達到最大正常運行時間，並針對問題解決提供指導性行動，同時通過在網路事件發生前捕捉和儲存數據來進行故障排除。

本書提出了一種全面的 AI 驅動網路方法，為電信領域提供了前所未有的效率、可靠性和創新機會。它通過連接、通信、協作、策展和社群這五個步驟來實現，這些步驟增強了網路效應，使運營商能夠獲得信賴的自動化、降低成本和優化用戶體驗的見解。本書還討論了 AI 和 ML 的能力，使網路能夠持續學習、自我優化，並主動預測和糾正服務降級，即使在完全自動化的情況下。

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。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《移動自組網手冊：移動模型》的書。

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