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{ "item_title" : "AI Native 5G Networks", "item_author" : [" Carlos I. Davis "], "item_description" : "AI Native 5G Networks: Harnessing Intelligent Connectivity, Edge AI, Open RAN, and Automation to Transform Telecom PerformanceAre you struggling to keep pace with the explosive growth of 5G and the complexity of AI-driven networks? As telecom infrastructures evolve, operators, engineers, and technology leaders face unprecedented challenges in network optimization, low-latency services, and autonomous operations.This book delivers a complete, actionable blueprint for mastering AI-native 5G networks, guiding you through the integration of Edge AI, Open RAN, predictive analytics, and automation to achieve high-performance, self-optimizing networks.Inside, you'll discover: How to deploy and manage AI-driven RAN and core networks for real-time, adaptive performance.Techniques for network slicing, low-latency AI inference, and predictive resource allocation.Best practices for multi-vendor Open RAN integration, autonomous network management, and closed-loop optimization.Strategic insights into edge intelligence, operational efficiency, SLA compliance, and 6G-ready network evolution.A structured roadmap for career growth and professional development in AI-native 5G technologies.Whether you are a telecom engineer, AI specialist, RAN professional, or technology strategist, this book equips you with the skills, workflows, and knowledge to optimize networks, reduce operational overhead, and deliver next-generation connectivity solutions.Take control of the AI-native 5G revolution. Learn the strategies and frameworks that industry leaders use to design intelligent, autonomous, and high-performing networks-and stay ahead in the rapidly evolving telecom landscape.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/818/034/9798180346797_b.jpg", "price_data" : { "retail_price" : "25.99", "online_price" : "25.99", "our_price" : "25.99", "club_price" : "25.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
AI Native 5G Networks|Carlos I. Davis

AI Native 5G Networks : Harnessing Intelligent Connectivity, Edge AI, Open RAN, and Automation to Transform Telecom Performance

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Overview

AI Native 5G Networks: Harnessing Intelligent Connectivity, Edge AI, Open RAN, and Automation to Transform Telecom Performance

Are you struggling to keep pace with the explosive growth of 5G and the complexity of AI-driven networks? As telecom infrastructures evolve, operators, engineers, and technology leaders face unprecedented challenges in network optimization, low-latency services, and autonomous operations.

This book delivers a complete, actionable blueprint for mastering AI-native 5G networks, guiding you through the integration of Edge AI, Open RAN, predictive analytics, and automation to achieve high-performance, self-optimizing networks.

Inside, you'll discover:

  • How to deploy and manage AI-driven RAN and core networks for real-time, adaptive performance.

  • Techniques for network slicing, low-latency AI inference, and predictive resource allocation.

  • Best practices for multi-vendor Open RAN integration, autonomous network management, and closed-loop optimization.

  • Strategic insights into edge intelligence, operational efficiency, SLA compliance, and 6G-ready network evolution.

  • A structured roadmap for career growth and professional development in AI-native 5G technologies.

Whether you are a telecom engineer, AI specialist, RAN professional, or technology strategist, this book equips you with the skills, workflows, and knowledge to optimize networks, reduce operational overhead, and deliver next-generation connectivity solutions.

Take control of the AI-native 5G revolution. Learn the strategies and frameworks that industry leaders use to design intelligent, autonomous, and high-performing networks-and stay ahead in the rapidly evolving telecom landscape.

This item is Non-Returnable

Details

  • ISBN-13: 9798180346797
  • ISBN-10: 9798180346797
  • Publisher: Independently Published
  • Publish Date: June 2026
  • Dimensions: 10 x 7 x 0.66 inches
  • Shipping Weight: 1.21 pounds
  • Page Count: 314

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