Skip to main navigation Skip to search Skip to main content

Evolving femtocell coverage optimization algorithms using genetic programming

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

The use of a group of femtocells to jointly provide coverage in an enterprise environment introduces several challenges in the introduction of self-configuration and self-optimization capabilities required for plug-and-play styles of deployment. In this paper, an approach to automatically derive a distributed algorithm to dynamically optimize the coverage of a femtocell group using genetic programming is described. The resulting evolved algorithm showed the ability to optimize the coverage well, and is able to offer increased overall network capacity compared with a fixed coverage femtocell deployment.

Original languageEnglish
Title of host publication2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2132-2136
Number of pages5
ISBN (Print)9781424451234
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009 - Tokyo, Japan
Duration: 13 Sep 200916 Sep 2009

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Conference

Conference2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
Country/TerritoryJapan
CityTokyo
Period13/09/0916/09/09

Keywords

  • Coverage optimization
  • Femtocell
  • Genetic programming
  • Self-organizing networks

Fingerprint

Dive into the research topics of 'Evolving femtocell coverage optimization algorithms using genetic programming'. Together they form a unique fingerprint.

Cite this