GenAI and LLMs for Beyond 5G Networks

Chapter 1 Introduction.- Chapter 2 Unlocking One-for-all Generative AI at Edge.- Chapter 3 Legal and Regulatory Frameworks Governing Generative AI for Enterprises.- Chapter 4 Securing GenAI and LLMs in Beyond 5G/6G UE and Networks.- Chapter 5 Designing Guardrails: Ensuring Responsible AI Behavior.- Chapter 6 GENATWIN: Enabling Scalable AI Evaluation in B5G Networks: A GenAI-Powered Digital Twin Framework.- Chapter 7 Large Generative AI Models in Telecom (GenAINet).- Chapter 8 Computational Aspects for Large Language Models (LLMs) in Radio Access Network (RAN).- Chapter 9 GenAI & LLMs for Source and Channel Coding in B5G Networks.- Chapter 10 Modeling Wireless Channels with Generative AI.- Chapter  11 Machine Learning-Based Intelligent Anomaly Detection and Maintenance in RAN.- Chapter 12 Intent-Based Networking and Conflict Resolution in B5G with LLMs and Explainable AI.- Chapter 13 A framework for Intent-Driven Kubernetes configuration generation using Large Language Models.- Chapter 14 Agent Orchestration for Resource Allocation in Self-Healing Networks.- Chapter 15 Leveraging Large Language Models (LLMs) for Service Optimization in Beyond 5G (B5G) Networks.- Chapter 16 AI-based On-Device Traffic Classification for Next Generation Mobile Network.- Chapter 17 Advanced Data Management & Analytics Using Large Language Models for B5G Networks.- Chapter 18 Conclusion.

• Erscheinungsdatum: 12.02.2026
• Autor/Autorin: Sukhdeep Singh
• Reihe: Computer Science (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 27.9 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 378 Seiten
• ISBN: 9783032064189
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.