A tractable approach to small cell dimensioning

Yanyan Wu

doi:10.1109/WCNC.2018.8377193

A tractable approach to small cell dimensioning

Yanyan Wu^*

^*Corresponding author for this work

Department of Communications and Networking

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

Abstract

Dynamic dimensioning adapting both base station (BS) density and maximum BS transmission power for varying traffic demands requires a tractable approach to two competing objectives of cell planning: coverage and rate capacity. This paper introduces a mathematical modeling of spatial distributions of other cell interference (OCIF) and interference to own-cell power ratio (IOPR) for down-link reception with respect to the distance between a mobile and its serving BS following the best-cell configuration. This allows a more realistic evaluation of the relation between coverage and capacity than nearest-cell configuration, based on which analytical results of maximum BS transmission power vs. cell size, and (admitted) user density vs. cell size are derived for small-cell dimensioning purpose.

Original language	English
Title of host publication	IEEE Wireless Communications and Networking Conference 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538617342
DOIs	https://doi.org/10.1109/WCNC.2018.8377193
Publication status	Published - 8 Jun 2018
Event	2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 - Barcelona, Spain Duration: 15 Apr 2018 → 18 Apr 2018

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
Volume	2018-April
ISSN (Print)	1525-3511

Conference

Conference	2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
Country/Territory	Spain
City	Barcelona
Period	15/04/18 → 18/04/18

Keywords

Cell Dimensioning
Coverage and capacity

Access to Document

10.1109/WCNC.2018.8377193

Cite this

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title = "A tractable approach to small cell dimensioning",

abstract = "Dynamic dimensioning adapting both base station (BS) density and maximum BS transmission power for varying traffic demands requires a tractable approach to two competing objectives of cell planning: coverage and rate capacity. This paper introduces a mathematical modeling of spatial distributions of other cell interference (OCIF) and interference to own-cell power ratio (IOPR) for down-link reception with respect to the distance between a mobile and its serving BS following the best-cell configuration. This allows a more realistic evaluation of the relation between coverage and capacity than nearest-cell configuration, based on which analytical results of maximum BS transmission power vs. cell size, and (admitted) user density vs. cell size are derived for small-cell dimensioning purpose.",

keywords = "Cell Dimensioning, Coverage and capacity",

author = "Yanyan Wu",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 ; Conference date: 15-04-2018 Through 18-04-2018",

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doi = "10.1109/WCNC.2018.8377193",

language = "English",

series = "IEEE Wireless Communications and Networking Conference, WCNC",

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Wu, Y 2018, A tractable approach to small cell dimensioning. in IEEE Wireless Communications and Networking Conference 2018. IEEE Wireless Communications and Networking Conference, WCNC, vol. 2018-April, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018, Barcelona, Spain, 15/04/18. https://doi.org/10.1109/WCNC.2018.8377193

A tractable approach to small cell dimensioning. / Wu, Yanyan.
IEEE Wireless Communications and Networking Conference 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6 (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2018-April).

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

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AB - Dynamic dimensioning adapting both base station (BS) density and maximum BS transmission power for varying traffic demands requires a tractable approach to two competing objectives of cell planning: coverage and rate capacity. This paper introduces a mathematical modeling of spatial distributions of other cell interference (OCIF) and interference to own-cell power ratio (IOPR) for down-link reception with respect to the distance between a mobile and its serving BS following the best-cell configuration. This allows a more realistic evaluation of the relation between coverage and capacity than nearest-cell configuration, based on which analytical results of maximum BS transmission power vs. cell size, and (admitted) user density vs. cell size are derived for small-cell dimensioning purpose.

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A tractable approach to small cell dimensioning

Abstract

Publication series

Conference

Keywords

Access to Document

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