This monograph addresses the scalability problem in 5G infrastructure planning through a predictive system combining machine learning propagation models, continuous terrain complexity metrics, geospatial data integration, and uncertainty-aware deployment sequencing. It introduces an ensemble approach of gradient-boosted trees, convolutional neural networks, and Gaussian process regression, validated against representative mountainous and mixed-terrain environments, and outlines engineering challenges on the trajectory toward 6G network intelligence.
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Andrey Kozak is a researcher and expert in telecommunications infrastructure engineering and intelligent network planning. His work focuses on radio frequency propagation modeling, multi-objective site selection optimization, and the integration of machine learning methods into 5G and next-generation mobile network deployment frameworks.
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Taschenbuch. Zustand: Neu. Infrastructure Intelligence in Telecommunications | Advanced Engineering Frameworks for 5G and Future Networks | Andrey Kozak | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209970672 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Artikel-Nr. 135422555
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