Maximizing the Coverage-Intensity Product in random cellular networks

Tharaka Samarasinghe; Hazer Inaltekin; Jamie S. Evans

doi:10.1109/AusCTW.2014.6766431

Maximizing the Coverage-Intensity Product in random cellular networks

Tharaka Samarasinghe, Hazer Inaltekin, Jamie S. Evans

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

1 Citation (Scopus)

Abstract

This paper studies a cellular network in which base station (BS) locations are modeled using a homogenous spatial Poisson point process, and user locations are modeled using an arbitrary stationary homogenous point process. The objective is to maximize the Coverage-Intensity Product (CIP), which represents the average number of users covered per unit area, under constraints on transmit power, BS intensity and transmit power density (per unit area). Expressions for the CIP are obtained considering two user coverage models that differ from each other depending on the BS-user association. Using these expressions, solutions for the optimization problem are provided. All these results are presented for general bounded path loss models that satisfy some mild conditions. The results are also illustrated using a specific bounded path loss model to provide further insights.

Original language	English
Title of host publication	2014 Australian Communications Theory Workshop (AusCTW)
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	73-78
Number of pages	6
ISBN (Electronic)	9781479933549
DOIs	https://doi.org/10.1109/AusCTW.2014.6766431
Publication status	Published - 2014
Externally published	Yes
Event	2014 Australian Communications Theory Workshop, AusCTW 2014 - Sydney, NSW, Australia Duration: 3 Feb 2014 → 5 Feb 2014

Other

Other	2014 Australian Communications Theory Workshop, AusCTW 2014
Country/Territory	Australia
City	Sydney, NSW
Period	3/02/14 → 5/02/14

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10.1109/AusCTW.2014.6766431

Cite this

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title = "Maximizing the Coverage-Intensity Product in random cellular networks",

abstract = "This paper studies a cellular network in which base station (BS) locations are modeled using a homogenous spatial Poisson point process, and user locations are modeled using an arbitrary stationary homogenous point process. The objective is to maximize the Coverage-Intensity Product (CIP), which represents the average number of users covered per unit area, under constraints on transmit power, BS intensity and transmit power density (per unit area). Expressions for the CIP are obtained considering two user coverage models that differ from each other depending on the BS-user association. Using these expressions, solutions for the optimization problem are provided. All these results are presented for general bounded path loss models that satisfy some mild conditions. The results are also illustrated using a specific bounded path loss model to provide further insights.",

author = "Tharaka Samarasinghe and Hazer Inaltekin and Evans, {Jamie S.}",

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doi = "10.1109/AusCTW.2014.6766431",

language = "English",

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booktitle = "2014 Australian Communications Theory Workshop (AusCTW)",

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note = "2014 Australian Communications Theory Workshop, AusCTW 2014 ; Conference date: 03-02-2014 Through 05-02-2014",

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Samarasinghe, T, Inaltekin, H & Evans, JS 2014, Maximizing the Coverage-Intensity Product in random cellular networks. in 2014 Australian Communications Theory Workshop (AusCTW). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 73-78, 2014 Australian Communications Theory Workshop, AusCTW 2014, Sydney, NSW, Australia, 3/02/14. https://doi.org/10.1109/AusCTW.2014.6766431

Maximizing the Coverage-Intensity Product in random cellular networks. / Samarasinghe, Tharaka; Inaltekin, Hazer; Evans, Jamie S.
2014 Australian Communications Theory Workshop (AusCTW). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 73-78.

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

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AU - Samarasinghe, Tharaka

AU - Inaltekin, Hazer

AU - Evans, Jamie S.

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N2 - This paper studies a cellular network in which base station (BS) locations are modeled using a homogenous spatial Poisson point process, and user locations are modeled using an arbitrary stationary homogenous point process. The objective is to maximize the Coverage-Intensity Product (CIP), which represents the average number of users covered per unit area, under constraints on transmit power, BS intensity and transmit power density (per unit area). Expressions for the CIP are obtained considering two user coverage models that differ from each other depending on the BS-user association. Using these expressions, solutions for the optimization problem are provided. All these results are presented for general bounded path loss models that satisfy some mild conditions. The results are also illustrated using a specific bounded path loss model to provide further insights.

AB - This paper studies a cellular network in which base station (BS) locations are modeled using a homogenous spatial Poisson point process, and user locations are modeled using an arbitrary stationary homogenous point process. The objective is to maximize the Coverage-Intensity Product (CIP), which represents the average number of users covered per unit area, under constraints on transmit power, BS intensity and transmit power density (per unit area). Expressions for the CIP are obtained considering two user coverage models that differ from each other depending on the BS-user association. Using these expressions, solutions for the optimization problem are provided. All these results are presented for general bounded path loss models that satisfy some mild conditions. The results are also illustrated using a specific bounded path loss model to provide further insights.

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PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 2014 Australian Communications Theory Workshop, AusCTW 2014

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ER -

Maximizing the Coverage-Intensity Product in random cellular networks

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