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Modelo de Propagación por Trazado de Rayos×Teorema de Capacidad del Canal de Shannon×
CampoTelecomunicacionesTelecomunicaciones
FamiliaProcess / pipelineProcess / pipeline
Año de origen19931948
Autor originalMaciel, Bertoni, and XiaClaude Shannon
Tipodeterministic propagation algorithmfundamental theoretical bound
Fuente seminalMaciel, T. F., Bertoni, H. L., & Xia, H. H. (1993). Unified approach to prediction of propagation over buildings for all ranges of frequencies. IEEE Transactions on Vehicular Technology, 42(1), 41-45. link ↗Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379-423. DOI ↗
Aliasdeterministic propagation, site-specific modelingchannel capacity, information theory bound
Relacionados45
ResumenRay tracing is a deterministic propagation modeling technique for predicting electromagnetic field strength at specific locations. Instead of empirical formulas (like Okumura-Hata), ray tracing traces paths of electromagnetic energy as it reflects, diffracts, and scatters off buildings and terrain. With accurate 3D geometry and material properties, ray tracing predicts site-specific path loss, multipath delay profiles, and angle of arrival, making it ideal for detailed coverage planning, interference analysis, and system design. Ray tracing is now standard in professional cellular planning tools.Shannon's channel capacity theorem, published in 1948, establishes the maximum rate at which information can be reliably transmitted over a noisy channel. Expressed as C = B log2(1 + S/N) for additive white Gaussian noise (AWGN), it is a fundamental bound in information theory and communications engineering. Shannon proved that reliable communication is possible at any rate below capacity, and impossible above it. This theorem underpins the design of all modern communication systems and motivates coding theory, modulation, and signal processing techniques.
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ScholarGateComparar métodos: Ray Tracing Propagation · Shannon Capacity. Recuperado el 2026-06-20 de https://scholargate.app/es/compare