Channel dynamics and SNR tracking in millimeter wave cellular systems

Marco Giordani; Marco Mezzavilla; Aditya Dhananjay; Sundeep Rangan; Michele Zorzi

Channel dynamics and SNR tracking in millimeter wave cellular systems

Marco Giordani, Marco Mezzavilla, Aditya Dhananjay, Sundeep Rangan, Michele Zorzi

Electrical and Computer Engineering

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

Abstract

The millimeter wave (mmWave) frequencies are likely to play a significant role in fifth-generation (5G) cellular systems. A key challenge in developing systems in these bands is the potential for rapid channel dynamics: since mmWave signals are blocked by many materials, small changes in the position or orientation of the handset relative to objects in the environment can cause large swings in the channel quality. This paper addresses the issue of tracking the signal to noise ratio (SNR), which is an essential procedure for rate prediction, handover and radio link failure detection. A simple method for estimating the SNR from periodic synchronization signals is considered. The method is then evaluated using real experiments in common blockage scenarios combined with outdoor statistical models.

Original language	English (US)
Title of host publication	European Wireless Conference 2016, EW 2016
Publisher	VDE
Pages	306-313
Number of pages	8
ISBN (Electronic)	9783800742219
State	Published - 2016
Event	22nd European Wireless Conference, EW 2016 - Oulu, Finland Duration: May 18 2016 → May 20 2016

Publication series

Name	European Wireless Conference 2016, EW 2016

Other

Other	22nd European Wireless Conference, EW 2016
Country/Territory	Finland
City	Oulu
Period	5/18/16 → 5/20/16

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Networks and Communications

Cite this

@inproceedings{a7e8783e227043c6aa7155ac249d13c7,

title = "Channel dynamics and SNR tracking in millimeter wave cellular systems",

abstract = "The millimeter wave (mmWave) frequencies are likely to play a significant role in fifth-generation (5G) cellular systems. A key challenge in developing systems in these bands is the potential for rapid channel dynamics: since mmWave signals are blocked by many materials, small changes in the position or orientation of the handset relative to objects in the environment can cause large swings in the channel quality. This paper addresses the issue of tracking the signal to noise ratio (SNR), which is an essential procedure for rate prediction, handover and radio link failure detection. A simple method for estimating the SNR from periodic synchronization signals is considered. The method is then evaluated using real experiments in common blockage scenarios combined with outdoor statistical models.",

author = "Marco Giordani and Marco Mezzavilla and Aditya Dhananjay and Sundeep Rangan and Michele Zorzi",

note = "Publisher Copyright: {\textcopyright} VDE Verlag GMBH, Berlin, Offenbach, Germany.; 22nd European Wireless Conference, EW 2016 ; Conference date: 18-05-2016 Through 20-05-2016",

year = "2016",

language = "English (US)",

series = "European Wireless Conference 2016, EW 2016",

publisher = "VDE",

pages = "306--313",

booktitle = "European Wireless Conference 2016, EW 2016",

}

TY - GEN

T1 - Channel dynamics and SNR tracking in millimeter wave cellular systems

AU - Giordani, Marco

AU - Mezzavilla, Marco

AU - Dhananjay, Aditya

AU - Rangan, Sundeep

AU - Zorzi, Michele

PY - 2016

Y1 - 2016

N2 - The millimeter wave (mmWave) frequencies are likely to play a significant role in fifth-generation (5G) cellular systems. A key challenge in developing systems in these bands is the potential for rapid channel dynamics: since mmWave signals are blocked by many materials, small changes in the position or orientation of the handset relative to objects in the environment can cause large swings in the channel quality. This paper addresses the issue of tracking the signal to noise ratio (SNR), which is an essential procedure for rate prediction, handover and radio link failure detection. A simple method for estimating the SNR from periodic synchronization signals is considered. The method is then evaluated using real experiments in common blockage scenarios combined with outdoor statistical models.

AB - The millimeter wave (mmWave) frequencies are likely to play a significant role in fifth-generation (5G) cellular systems. A key challenge in developing systems in these bands is the potential for rapid channel dynamics: since mmWave signals are blocked by many materials, small changes in the position or orientation of the handset relative to objects in the environment can cause large swings in the channel quality. This paper addresses the issue of tracking the signal to noise ratio (SNR), which is an essential procedure for rate prediction, handover and radio link failure detection. A simple method for estimating the SNR from periodic synchronization signals is considered. The method is then evaluated using real experiments in common blockage scenarios combined with outdoor statistical models.

UR - http://www.scopus.com/inward/record.url?scp=84980369120&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84980369120&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84980369120

T3 - European Wireless Conference 2016, EW 2016

SP - 306

EP - 313

BT - European Wireless Conference 2016, EW 2016

PB - VDE

T2 - 22nd European Wireless Conference, EW 2016

Y2 - 18 May 2016 through 20 May 2016

ER -

Channel dynamics and SNR tracking in millimeter wave cellular systems

Abstract

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