Stochastic dynamic channel models for millimeter cellular systems

Parisa A. Eliasi; Sundeep Rangan

doi:10.1109/CAMSAP.2015.7383773

Stochastic dynamic channel models for millimeter cellular systems

Parisa A. Eliasi, Sundeep Rangan

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	209-212
Number of pages	4
ISBN (Electronic)	9781479919635
DOIs	https://doi.org/10.1109/CAMSAP.2015.7383773
State	Published - 2015
Event	6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 - Cancun, Mexico Duration: Dec 13 2015 → Dec 16 2015

Publication series

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

Other

Other	6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
Country/Territory	Mexico
City	Cancun
Period	12/13/15 → 12/16/15

ASJC Scopus subject areas

Signal Processing
Computational Mathematics

Access to Document

10.1109/CAMSAP.2015.7383773

Cite this

Eliasi, P. A., & Rangan, S. (2015). 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). Article 7383773 (2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015). 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., 2015. p. 209-212 7383773 (2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Eliasi, PA & Rangan, S 2015, 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, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015, 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. 2015. p. 209-212. 7383773. (2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015). doi: 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., 2015. pp. 209-212 (2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015).

@inproceedings{8a2e02bd4ca84fbaa884c9d6246dfb40,

title = "Stochastic dynamic channel models for millimeter cellular systems",

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.",

author = "Eliasi, {Parisa A.} and Sundeep Rangan",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 ; Conference date: 13-12-2015 Through 16-12-2015",

year = "2015",

doi = "10.1109/CAMSAP.2015.7383773",

language = "English (US)",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "209--212",

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

}

TY - GEN

T1 - Stochastic dynamic channel models for millimeter cellular systems

AU - Eliasi, Parisa A.

AU - Rangan, Sundeep

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84963812168&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963812168&partnerID=8YFLogxK

U2 - 10.1109/CAMSAP.2015.7383773

DO - 10.1109/CAMSAP.2015.7383773

M3 - Conference contribution

AN - SCOPUS:84963812168

T3 - 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015

SP - 209

EP - 212

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015

Y2 - 13 December 2015 through 16 December 2015

ER -

Stochastic dynamic channel models for millimeter cellular systems

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this