A simulator of spatially correlated complex-valued nakagami fading channels

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

1 Scopus citations

Abstract

This paper proposes a correlated Nakagami-m fading simulator incorporating phase components. A phase difference distribution is exploited to evaluate the covariance matrix of the random vector whose elements are complex-valued, correlated channel weights. Several uncorrelated Jakes' fading simulators are then employed to synthesize correlated Nakagami-m fading channels accordingly to maintain the Clarke's spectrum. Envelope profiles, probability density functions of the envelopes and the phase differences, autocovariance functions and power spectral density are simulated to compare with the theoretical analyses. Simulation results exhibit the effectiveness of the proposed spatially correlated, complex-valued Nakagami-m fading simulator.

Original languageEnglish
Title of host publication2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
Subtitle of host publicationEngaged Citizens and their New Smart Worlds, PIMRC 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538635315
DOIs
StatePublished - 14 Feb 2018
Event28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017 - Montreal, Canada
Duration: 8 Oct 201713 Oct 2017

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2017-October

Conference

Conference28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017
Country/TerritoryCanada
CityMontreal
Period8/10/1713/10/17

Keywords

  • Covariance matrix
  • Nakagami fading
  • Phase PDF
  • Spatial correlation

Fingerprint

Dive into the research topics of 'A simulator of spatially correlated complex-valued nakagami fading channels'. Together they form a unique fingerprint.

Cite this