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

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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

9 Citationer (Scopus)

Resumé

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.
OriginalsprogEngelsk
TitelGLOBECOM 2017 - 2017 IEEE Global Communications Conference
Antal sider6
ForlagIEEE
Publikationsdato2017
ISBN (Elektronisk)978-1-5090-5019-2
DOI
StatusUdgivet - 2017
BegivenhedIEEE GLOBECOM 2017: Global Hub: Connecting East and West - , Singapore
Varighed: 4 dec. 20178 dec. 2017
http://globecom2017.ieee-globecom.org/

Konference

KonferenceIEEE GLOBECOM 2017
LandSingapore
Periode04/12/201708/12/2017
Internetadresse
NavnGLOBECOM - conference record / IEEE Global Telecommunications Conference
ISSN0895-1195

Fingerprint

Millimeter waves
Wave interference
Geometry
Experiments

Citer dette

Rebato, M., Park, J., Popovski, P., Carvalho, E. D., & Zorzi, M. (2017). Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model. I GLOBECOM 2017 - 2017 IEEE Global Communications Conference IEEE. GLOBECOM - conference record / IEEE Global Telecommunications Conference https://doi.org/10.1109/GLOCOM.2017.8254626
Rebato, Mattia ; Park, Jihong ; Popovski, Petar ; Carvalho, Elisabeth De ; Zorzi, Michele. / Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model. GLOBECOM 2017 - 2017 IEEE Global Communications Conference. IEEE, 2017. (GLOBECOM - conference record / IEEE Global Telecommunications Conference).
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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",
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Rebato, M, Park, J, Popovski, P, Carvalho, ED & Zorzi, M 2017, Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with a Realistic Channel Model. i GLOBECOM 2017 - 2017 IEEE Global Communications Conference. IEEE, GLOBECOM - conference record / IEEE Global Telecommunications Conference, 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; Carvalho, Elisabeth De; Zorzi, Michele.

GLOBECOM 2017 - 2017 IEEE Global Communications Conference. IEEE, 2017. (GLOBECOM - conference record / IEEE Global Telecommunications Conference).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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