Base station location optimization for minimal energy consumption in wireless networks

Pablo González-Brevis, Jacek Gondzio, Yijia Fan, H. Vincent Poor, John Thompson, Ioannis Krikidis, Pei Jung Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

86 Scopus citations

Abstract

This paper studies the combined problem of base station location and optimal power allocation, in order to optimize the energy efficiency of a cellular wireless network. Recent work has suggested that moving from a network of a small number of high power macrocells to a larger number of smaller microcells may improve the energy efficiency of the network. This paper investigates techniques to optimize the number of base stations and their locations, in order to minimize energy consumption. An important contribution of the paper is that it takes into account non-uniform user distributions across the coverage area, which is likely to be encountered in practice. The problem is solved using approaches from optimization theory that deal with the facility location problem. Stochastic programming techniques are used to deal with the expected user distributions. An example scenario is presented to illustrate how the technique works and the potential performance gains that can be achieved.

Original languageEnglish (US)
Title of host publication2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Budapest, Hungary
Duration: May 15 2011May 18 2011

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

Other2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring
Country/TerritoryHungary
CityBudapest
Period5/15/115/18/11

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Base station location optimization for minimal energy consumption in wireless networks'. Together they form a unique fingerprint.

Cite this