AI-Driven Radio Wave Propagation From Modeling to Application in 6G and Beyond
-
- Englisch ausgewählt
53,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
16.01.2027
Abbildungen
Approx. 200 p.
Verlag
Springer SingaporeSeitenzahl
344
Maße (B/H)
15,5/23,5 cm
Sprache
Englisch
ISBN
978-981-9280-34-6
Radio propagation modeling is becoming an increasingly important operational component of wireless systems toward 6G and beyond. Future networks require accurate propagation information across wider frequency ranges, three-dimensional and dynamic environments, integrated communication and sensing functions, and repeated evaluation within wireless digital twins.
This book presents a systematic treatment of artificial intelligence for radio propagation modeling while maintaining explicit connections to propagation physics, measurements, and electromagnetic principles. It examines learning-assisted methods for environment and material representation, electromagnetic and ray-tracing acceleration, model calibration, channel prediction and reconstruction, and propagation-based sensing and localization.
Organized into four parts, the book covers the physical, measurement, and machine-learning foundations of propagation modeling; AI-enhanced propagation methods; applications in intelligent transportation, coverage planning, wireless digital twins, sensing, and localization; and emerging topics including model generalization, credibility, computational scaling, integrated sensing and communication, and AI-native wireless systems.
Combining physical principles, learning-assisted methods, and representative case studies, this book provides a unified reference for graduate students, researchers, and engineers working in radio propagation, channel modeling, machine learning for wireless systems, network planning, and integrated sensing and communication.
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