Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model

Mattia Rebato; Jihong Park; Petar Popovski; Elisabeth De Carvalho; Michele Zorzi

doi:10.1109/GLOCOM.2017.8254626

Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model

Mattia Rebato, Jihong Park, Petar Popovski, Elisabeth De Carvalho, Michele Zorzi

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

13 Citations (Scopus)

Abstract

Millimeter-wave (mmWave) bands have been attracting growing attention as a possible candidate for next-generation cellular networks, since the available spectrum is orders of magnitude larger than in current cellular allocations. To precisely design mmWave systems, it is important to examine mmWave interference and SIR coverage under large-scale deployments. For this purpose, we apply an accurate mmWave channel model, derived from experiments, into an analytical framework based on stochastic geometry. In this way we obtain a closed-form SIR coverage probability in large-scale mmWave cellular networks.

Original language	English
Title of host publication	GLOBECOM 2017 - 2017 IEEE Global Communications Conference
Number of pages	6
Publisher	IEEE
Publication date	2017
ISBN (Electronic)	978-1-5090-5019-2
DOIs	https://doi.org/10.1109/GLOCOM.2017.8254626
Publication status	Published - 2017
Event	IEEE GLOBECOM 2017: Global Hub: Connecting East and West - , Singapore Duration: 4 Dec 2017 → 8 Dec 2017 http://globecom2017.ieee-globecom.org/

Conference

Conference	IEEE GLOBECOM 2017
Country/Territory	Singapore
Period	04/12/2017 → 08/12/2017
Internet address	http://globecom2017.ieee-globecom.org/

Series	GLOBECOM - conference record / IEEE Global Telecommunications Conference
ISSN	0895-1195

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10.1109/GLOCOM.2017.8254626

https://arxiv.org/abs/1705.00986

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@inproceedings{5e77514cad9f4680963bedd5f70728d6,

title = "Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model",

abstract = "Millimeter-wave (mmWave) bands have been attracting growing attention as a possible candidate for next-generation cellular networks, since the available spectrum is orders of magnitude larger than in current cellular allocations. To precisely design mmWave systems, it is important to examine mmWave interference and SIR coverage under large-scale deployments. For this purpose, we apply an accurate mmWave channel model, derived from experiments, into an analytical framework based on stochastic geometry. In this way we obtain a closed-form SIR coverage probability in large-scale mmWave cellular networks.",

author = "Mattia Rebato and Jihong Park and Petar Popovski and Carvalho, {Elisabeth De} and Michele Zorzi",

year = "2017",

doi = "10.1109/GLOCOM.2017.8254626",

language = "English",

series = "GLOBECOM - conference record / IEEE Global Telecommunications Conference",

publisher = "IEEE",

booktitle = "GLOBECOM 2017 - 2017 IEEE Global Communications Conference",

address = "United States",

note = "IEEE GLOBECOM 2017 : Global Hub: Connecting East and West, Globecom '17 ; Conference date: 04-12-2017 Through 08-12-2017",

url = "http://globecom2017.ieee-globecom.org/",

}

Rebato, M, Park, J, Popovski, P, Carvalho, ED & Zorzi, M 2017, Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model. in GLOBECOM 2017 - 2017 IEEE Global Communications Conference. IEEE, GLOBECOM - conference record / IEEE Global Telecommunications Conference, IEEE GLOBECOM 2017, Singapore, 04/12/2017. https://doi.org/10.1109/GLOCOM.2017.8254626

Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model. / Rebato, Mattia; Park, Jihong; Popovski, Petar et al.
GLOBECOM 2017 - 2017 IEEE Global Communications Conference. IEEE, 2017. (GLOBECOM - conference record / IEEE Global Telecommunications Conference).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model

AU - Rebato, Mattia

AU - Park, Jihong

AU - Popovski, Petar

AU - Carvalho, Elisabeth De

AU - Zorzi, Michele

PY - 2017

Y1 - 2017

N2 - Millimeter-wave (mmWave) bands have been attracting growing attention as a possible candidate for next-generation cellular networks, since the available spectrum is orders of magnitude larger than in current cellular allocations. To precisely design mmWave systems, it is important to examine mmWave interference and SIR coverage under large-scale deployments. For this purpose, we apply an accurate mmWave channel model, derived from experiments, into an analytical framework based on stochastic geometry. In this way we obtain a closed-form SIR coverage probability in large-scale mmWave cellular networks.

AB - Millimeter-wave (mmWave) bands have been attracting growing attention as a possible candidate for next-generation cellular networks, since the available spectrum is orders of magnitude larger than in current cellular allocations. To precisely design mmWave systems, it is important to examine mmWave interference and SIR coverage under large-scale deployments. For this purpose, we apply an accurate mmWave channel model, derived from experiments, into an analytical framework based on stochastic geometry. In this way we obtain a closed-form SIR coverage probability in large-scale mmWave cellular networks.

UR - http://globecom2017.ieee-globecom.org/program/symposia/thursday-symposia

U2 - 10.1109/GLOCOM.2017.8254626

DO - 10.1109/GLOCOM.2017.8254626

M3 - Article in proceeding

T3 - GLOBECOM - conference record / IEEE Global Telecommunications Conference

BT - GLOBECOM 2017 - 2017 IEEE Global Communications Conference

PB - IEEE

T2 - IEEE GLOBECOM 2017

Y2 - 4 December 2017 through 8 December 2017

ER -

Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model

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