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AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management [#1041974]
AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management
English | 2026 | ISBN: 1041222904 | 309 pages | True PDF,EPUB | 10.94 MB
AI, Machine Learning, and Blockchain for Next-Generation Spectrum Managementpresents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. Bridging engineering innovation with regulatory insight, it offers a comprehensive guide to dynamic, secure, and decentralized spectrum strategies. With real-world case studies, simulation-validated architectures, and actionable policy frameworks, the book serves researchers, engineers, and policymakers shaping the future of wireless communication infrastructure.Key FeaturesUniquely synthesizes AI, ML, and blockchain for intelligent spectrum governanceCovers real-world deployments including CBRS, smart grid systems, and IoT-based intelligent transportation networksComprehensively addresses both technical architectures and regulatory frameworks, including 3GPP Release 18, ETSI, and Ofcom standardsGlobally integrates perspectives from academia, industry, and policy institutions.
AI, Machine Learning, and Blockchain for Next-Generation Spectrum Managementpresents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. Bridging engineering innovation with regulatory insight, it offers a comprehensive guide to dynamic, secure, and decentralized spectrum strategies. With real-world case studies, simulation-validated architectures, and actionable policy frameworks, the book serves researchers, engineers, and policymakers shaping the future of wireless communication infrastructure.
AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management
presents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. Bridging engineering innovation with regulatory insight, it offers a comprehensive guide to dynamic, secure, and decentralized spectrum strategies. With real-world case studies, simulation-validated architectures, and actionable policy frameworks, the book serves researchers, engineers, and policymakers shaping the future of wireless communication infrastructure.
Uniquely synthesizes AI, ML, and blockchain for intelligent spectrum governance
Covers real-world deployments including CBRS, smart grid systems, and IoT-based intelligent transportation networks
Comprehensively addresses both technical architectures and regulatory frameworks, including 3GPP Release 18, ETSI, and Ofcom standards
Globally integrates perspectives from academia, industry, and policy institutions.
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