DocumentCode
266524
Title
Ultra-wideband statistical channel model for non line of sight millimeter-wave urban channels
Author
Samimi, Mathew K. ; Rappaport, Theodore S.
Author_Institution
NYU WIRELESS, New York Univ., New York, NY, USA
fYear
2014
fDate
8-12 Dec. 2014
Firstpage
3483
Lastpage
3489
Abstract
This paper presents ultra-wideband statistical spatial and omnidirectional channel models for 28 GHz millimeter-wave cellular dense urban Non-Line of Sight (NLOS) environments, developed from wideband measurements in New York City that used synthesized timing from 3D ray-tracing. An accurate 3GPP-like channel model has been developed, where model parameters are based on empirical distributions for time cluster and spatial (lobe) channel parameters. A statistical simulator capable of reproducing the joint temporal and spatial measured channel statistics is given here. A step-by-step procedure for generating channel coefficients is shown to validate measured statistics from 28 GHz field measurements, thus validating our statistical channel model, for use in standard bodies and system-level simulations for millimeter-wave wideband communications.
Keywords
3G mobile communication; cellular radio; ray tracing; statistical analysis; ultra wideband communication; 3D ray-tracing; 3GPP-like channel model; New York city; channel coefficient generation; empirical distributions; frequency 28 GHz; joint temporal-spatial measured channel statistics; millimeter-wave cellular dense urban NLOS environment; millimeter-wave wideband communication; model parameter; nonline-of-sight millimeter-wave urban channel; spatial channel parameter; statistical simulator; synthesized timing; system-level simulation; time cluster; ultrawideband statistical omnidirectional channel model; ultrawideband statistical spatial channel model; wideband measurement; Antenna measurements; Azimuth; Brain modeling; Channel models; Delays; Loss measurement; 3D Ray-tracing; Dense environment; Millimeter-Wave; NLOS; Wideband; cluster; lobe; statistical simulator; statistical spatial channel models;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GLOCOM.2014.7037347
Filename
7037347
Link To Document