Interpolation distortion in Large-Scale Parameter maps for wireless system simulation

John S. Sadowsky, Lek Ariyavisitakul, Kevin W. Lu, Erik Stauffer, Jing Wang, Leena Zacharias

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Spatial Channel Models (SCM) used in wireless system simulations are determined by Large-Scale Parameters (LSP). LSPs include delay spread, shadow fading, angle of arrival and departure spread, and Rice K for line-of-sight channels. LSPs are modeled as a spatially correlated random field over the geometry of the network scenario being simulated. The general method is to generate an LSP map on a discrete lattice (or grid) and induce spatial correlation via spatial filtering as determined by the LSP's correlation distance. This step represents a large part of the simulator's computation load, which leads to the use of a coarsely spaced lattice and interpolation from nearest lattice points to arbitrary UE locations on the x-y plane. We investigate the computation vs. fidelity trade associated with LSP generation. We will show that when a coarse grid is employed, there can be significant nonstationary distortion of the LSP correlation due to the interpolation step. We investigate three different interpolators having varying correlation fidelity and computation load.

Original languageEnglish
Title of host publication2013 IEEE Global Communications Conference, GLOBECOM 2013
Pages3954-3958
Number of pages5
DOIs
StatePublished - 2013
Event2013 IEEE Global Communications Conference, GLOBECOM 2013 - Atlanta, GA, United States
Duration: 9 Dec 201313 Dec 2013

Publication series

NameProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)2334-0983
ISSN (Electronic)2576-6813

Conference

Conference2013 IEEE Global Communications Conference, GLOBECOM 2013
Country/TerritoryUnited States
CityAtlanta, GA
Period9/12/1313/12/13

Keywords

  • angle spread
  • delay spread
  • large-scale parameters
  • shadow fade
  • spatial channel models
  • wireless system simulation

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