MIMO channel modeling and capacity analysis for 5G millimeter-wave wireless systems

Mathew K. Samimi, Shu Sun, Theodore S. Rappaport

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a 3-D statistical channel model of the impulse response with small-scale spatially correlated random coefficients for multi-element transmitter and receiver antenna arrays, derived using the physically-based time cluster - spatial lobe (TCSL) clustering scheme. The small-scale properties of multipath amplitudes are modeled based on 28 GHz outdoor millimeter-wave small-scale local area channel measurements. The wideband channel capacity is evaluated by considering measurement-based Rician-distributed voltage amplitudes, and the spatial autocorrelation of multipath amplitudes for each pair of transmitter and receiver antenna elements. Results indicate that Rician channels may exhibit equal or possibly greater capacity compared to Rayleigh channels, depending on the number of antennas.

Original languageEnglish (US)
Title of host publication2016 10th European Conference on Antennas and Propagation, EuCAP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788890701863
DOIs
StatePublished - May 31 2016
Event10th European Conference on Antennas and Propagation, EuCAP 2016 - Davos, Switzerland
Duration: Apr 10 2016Apr 15 2016

Publication series

Name2016 10th European Conference on Antennas and Propagation, EuCAP 2016

Other

Other10th European Conference on Antennas and Propagation, EuCAP 2016
Country/TerritorySwitzerland
CityDavos
Period4/10/164/15/16

Keywords

  • 28 GHz
  • MIMO
  • SSCM
  • TCSL
  • channel impulse response
  • millimeter-wave
  • multipath
  • small-scale fading
  • spatial autocorrelation
  • spatial lobe
  • time cluster
  • wideband capacity

ASJC Scopus subject areas

  • Radiation
  • Computer Networks and Communications
  • Instrumentation

Fingerprint

Dive into the research topics of 'MIMO channel modeling and capacity analysis for 5G millimeter-wave wireless systems'. Together they form a unique fingerprint.

Cite this