Spatial Mappings for Planning and Optimization of Cellular Networks

Research output: Contribution to journalArticleScientificpeer-review

Standard

Spatial Mappings for Planning and Optimization of Cellular Networks. / G., David Gonzalez; Hakula, Harri; Rasila, Antti; Hamalainen, Jyri.

In: IEEE-ACM TRANSACTIONS ON NETWORKING, Vol. 26, No. 1, 2018, p. 175-188.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

APA

Vancouver

Author

Bibtex - Download

@article{341577a32efb44d29877c0e08a47212c,
title = "Spatial Mappings for Planning and Optimization of Cellular Networks",
abstract = "In cellular networks, users are grouped into different cells and served by different access points (base stations) that provide wireless access to services and applications. In general, the service demand is very heterogeneous, non-uniformly distributed, and dynamic. Consequently, radio access networks create very irregular topologies with more access points, where service demand is concentrated. While this dynamism requires networks with the ability to adapt to time-varying conditions, the non-uniformity of the service demand makes the planning, analysis, and optimization difficult. In order to help with these tasks, a framework based on canonical domains and spatial mappings (e.g., conformal mapping) have recently been proposed. The idea is to carry out part of the planning in a canonical (perfectly symmetric) domain that is connected to the physical one (real-scenario) by means of a spatial transformation designed to map the access points consistently with the service demand. This paper continues the research in that direction by introducing additional tools and possibilities to that framework, namely the use of centroidal Voronoi algorithms and non-conformal composite mappings. Moreover, power optimization is also introduced to the framework. The results show the usability and effectiveness of the proposed method and its promising research perspectives.",
keywords = "Cellular networks, conformal mapping, network planning, power optimization, Voronoi tessellations",
author = "G., {David Gonzalez} and Harri Hakula and Antti Rasila and Jyri Hamalainen",
year = "2018",
doi = "10.1109/TNET.2017.2768561",
language = "English",
volume = "26",
pages = "175--188",
journal = "IEEE-ACM TRANSACTIONS ON NETWORKING",
issn = "1063-6692",
publisher = "Institute of Electrical and Electronics Engineers",
number = "1",

}

RIS - Download

TY - JOUR

T1 - Spatial Mappings for Planning and Optimization of Cellular Networks

AU - G., David Gonzalez

AU - Hakula, Harri

AU - Rasila, Antti

AU - Hamalainen, Jyri

PY - 2018

Y1 - 2018

N2 - In cellular networks, users are grouped into different cells and served by different access points (base stations) that provide wireless access to services and applications. In general, the service demand is very heterogeneous, non-uniformly distributed, and dynamic. Consequently, radio access networks create very irregular topologies with more access points, where service demand is concentrated. While this dynamism requires networks with the ability to adapt to time-varying conditions, the non-uniformity of the service demand makes the planning, analysis, and optimization difficult. In order to help with these tasks, a framework based on canonical domains and spatial mappings (e.g., conformal mapping) have recently been proposed. The idea is to carry out part of the planning in a canonical (perfectly symmetric) domain that is connected to the physical one (real-scenario) by means of a spatial transformation designed to map the access points consistently with the service demand. This paper continues the research in that direction by introducing additional tools and possibilities to that framework, namely the use of centroidal Voronoi algorithms and non-conformal composite mappings. Moreover, power optimization is also introduced to the framework. The results show the usability and effectiveness of the proposed method and its promising research perspectives.

AB - In cellular networks, users are grouped into different cells and served by different access points (base stations) that provide wireless access to services and applications. In general, the service demand is very heterogeneous, non-uniformly distributed, and dynamic. Consequently, radio access networks create very irregular topologies with more access points, where service demand is concentrated. While this dynamism requires networks with the ability to adapt to time-varying conditions, the non-uniformity of the service demand makes the planning, analysis, and optimization difficult. In order to help with these tasks, a framework based on canonical domains and spatial mappings (e.g., conformal mapping) have recently been proposed. The idea is to carry out part of the planning in a canonical (perfectly symmetric) domain that is connected to the physical one (real-scenario) by means of a spatial transformation designed to map the access points consistently with the service demand. This paper continues the research in that direction by introducing additional tools and possibilities to that framework, namely the use of centroidal Voronoi algorithms and non-conformal composite mappings. Moreover, power optimization is also introduced to the framework. The results show the usability and effectiveness of the proposed method and its promising research perspectives.

KW - Cellular networks

KW - conformal mapping

KW - network planning

KW - power optimization

KW - Voronoi tessellations

UR - http://www.scopus.com/inward/record.url?scp=85035090475&partnerID=8YFLogxK

U2 - 10.1109/TNET.2017.2768561

DO - 10.1109/TNET.2017.2768561

M3 - Article

VL - 26

SP - 175

EP - 188

JO - IEEE-ACM TRANSACTIONS ON NETWORKING

T2 - IEEE-ACM TRANSACTIONS ON NETWORKING

JF - IEEE-ACM TRANSACTIONS ON NETWORKING

SN - 1063-6692

IS - 1

ER -

ID: 16322870