Stochastic dynamic channel models for millimeter cellular systems

Parisa A. Eliasi, Sundeep Rangan

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

Abstract

The millimeter wave (mmWave) frequencies offer the potential for enormous capacity cellular systems. However, a key challenge in designing robust communication systems in these frequencies is channel intermittency: mmWave signals are extremely vulnerable to blocking and the channel can rapidly appear and disappear with small movement of obstacles and reflectors. This paper presents a novel statistical model that can capture the dynamics of mmWave channels as a two-dimensional arrival process. The parameters in the model can be easily fit via maximum entropy estimation and preliminary results on fitting these models to commercial ray tracing data are presented.

Original languageEnglish (US)
Title of host publication2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages209-212
Number of pages4
ISBN (Electronic)9781479919635
DOIs
StatePublished - 2015
Event6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 - Cancun, Mexico
Duration: Dec 13 2015Dec 16 2015

Publication series

Name2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015

Other

Other6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
CountryMexico
CityCancun
Period12/13/1512/16/15

ASJC Scopus subject areas

  • Signal Processing
  • Computational Mathematics

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