GenAI and LLMs for Beyond 5G Networks
portes grátis
GenAI and LLMs for Beyond 5G Networks
Kanagarathinam, Madhan Raj; Bashir, Ali Kashif; Wu, Yulei; Saxena, Navrati; Chavva, Ashok Kumar Reddy; Rao GNS, Mohan; Singh, Sukhdeep
Springer Nature Switzerland AG
02/2026
378
Dura
Inglês
9783032064172
15 a 20 dias
Descrição não disponível.
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.
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GenAI;LLMs;5G Networks;B5G Networks;6G Networks;Network Management;B5G RAN;6G RAN;B5G Core;6G Core;Automation;Virtualization;Intelligent Orchestration;Service Management;Dynamic Network Slicing;Open RAN;vRAN;Energy Efficiency;Large Language Models;Cloud Computing
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
