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  • 8 - Dispersion Characteristics

  • Edited by Theodore S. Rappaport, New York University, Kate A. Remley, National Institute of Standards and Technology, Maryland, Camillo Gentile, National Institute of Standards and Technology, Maryland, Andreas F. Molisch, University of Southern California, Alenka Zajić, Georgia Institute of Technology
  • Book:
    Radio Propagation Measurements and Channel Modeling: Best Practices for Millimeter-Wave and Sub-Terahertz Frequencies
    Published online:
    18 August 2022
    Print publication:
    25 August 2022, pp 153-210

  • Summary

    When designing a wireless communication system, it is essential to have a channel model that can quickly and accurately generate channel impulse response needed for system simulations. Deterministic models such as ray-tracing offer an accurate model of the propagation environment, but their high computational complexity prohibits the intensive link or system-level simulations required during system design. Hence, models with lower computational complexity that could emulate a large class of radio-propagation environments are preferred. These requirements have led to stochastic channel models, which are often classified into geometry-based stochastic models (GSCMs) and nongeometrical stochastic models. In this chapter we focus on the GSCM models.