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 (Print)9781479919635
DOIs
StatePublished - Jan 14 2016
Event6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 - Cancun, Mexico
Duration: Dec 13 2015Dec 16 2015

Other

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

Fingerprint

Millimeter Wave
Cellular Systems
Channel Model
Stochastic Dynamics
Millimeter waves
Dynamic Model
Model Fitting
Ray Tracing
Intermittency
Ray tracing
Maximum Entropy
Reflector
Statistical Model
Communication Systems
Communication systems
Entropy
Model

ASJC Scopus subject areas

  • Signal Processing
  • Computational Mathematics

Cite this

Eliasi, P. A., & Rangan, S. (2016). Stochastic dynamic channel models for millimeter cellular systems. In 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 (pp. 209-212). [7383773] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAMSAP.2015.7383773

Stochastic dynamic channel models for millimeter cellular systems. / Eliasi, Parisa A.; Rangan, Sundeep.

2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 209-212 7383773.

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

Eliasi, PA & Rangan, S 2016, Stochastic dynamic channel models for millimeter cellular systems. in 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015., 7383773, Institute of Electrical and Electronics Engineers Inc., pp. 209-212, 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015, Cancun, Mexico, 12/13/15. https://doi.org/10.1109/CAMSAP.2015.7383773
Eliasi PA, Rangan S. Stochastic dynamic channel models for millimeter cellular systems. In 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 209-212. 7383773 https://doi.org/10.1109/CAMSAP.2015.7383773
Eliasi, Parisa A. ; Rangan, Sundeep. / Stochastic dynamic channel models for millimeter cellular systems. 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 209-212
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