Cellular Network Planning via Local Regularity Optimization

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

We propose a cell planning method for wireless cellular networks to simultaneously balance the volume shares of the cells and to preserve their regularity. In this framework, we first optimize the base station locations to minimize the coefficient of variation (CoV)-based service demand share metric using the power Voronoi algorithm. Then, we maximize the downlink coverage probability by defining a local regularity optimization problem and solve it through particle swarm, farthest point, average point, and spatial median optimization methods. Finally, we apply the proposed methods on a real network to show how the proposed methods simultaneously minimize both CoV-based service demand share and local regularity metrics.

Original languageEnglish
Title of host publication2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings
PublisherIEEE
Number of pages7
ISBN (Electronic)9781728189642
DOIs
Publication statusPublished - Apr 2021
MoE publication typeA4 Article in a conference publication
EventIEEE Vehicular Technology Conference - Virtual, Online
Duration: 25 Apr 202128 Apr 2021
Conference number: 93

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1090-3038
ISSN (Electronic)1090-3038

Conference

ConferenceIEEE Vehicular Technology Conference
Abbreviated titleVTC-Spring
CityVirtual, Online
Period25/04/202128/04/2021

Keywords

  • Cellular network topology
  • Delaunay triangulation
  • Local regularity
  • Voronoi Diagram

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