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Simplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation

Mattia Lecci, Paolo Testolina, Marco Giordani, Michele Polese, Tanguy Ropitault, Camillo Gentile, Neeraj Varshney, Anuraag Bodi, Michele Zorzi

202032 citationsDOIOpen Access PDF

Abstract

Millimeter-wave (mmWave) communication is one of the cornerstone innovations of fifth-generation (5G) wireless networks, thanks to the massive bandwidth available in these frequency bands. To correctly assess the performance of such systems, however, it is essential to have reliable channel models, based on a deep understanding of the propagation characteristics of the mmWave signal. In this respect, ray tracers can provide high accuracy, at the expense of a significant computational complexity, which limits the scalability of simulations. To address this issue, in this paper we present possible simplifications that can reduce the complexity of ray tracing in the mmWave environment, without significantly affecting the accuracy of the model. We evaluate the effect of such simplifications on linklevel metrics, testing different configuration parameters and propagation scenarios.

Topics & Concepts

Ray tracing (physics)ScalabilityComputer scienceExtremely high frequencyBandwidth (computing)WirelessRadio propagationElectronic engineeringMillimeterChannel (broadcasting)TracingWave propagationDistributed ray tracingA priori and a posterioriReal-time computingRadio propagation modelWireless networkOpticsPhysicsEngineeringMillimeter-Wave Propagation and ModelingAdvanced MIMO Systems OptimizationMicrowave Engineering and Waveguides