Femtocell coverage optimization using genetic algorithm

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

13 Scopus citations

Abstract

Deploying a number of femtocells to jointly provide coverage in an enterprise environment raises critical challenges especially in future self-organizing networks which rely on plug-and-play fashions. This paper presents a technique based on the genetic algorithm for a centralized self-optimizing network containing a group of femtocells. Depending on a multi-objective function for optimizing the coverage, the algorithm leads to a dynamic update of the pilot powers of the group of femtocells. The results show the ability of the algorithm to effectively optimize the coverage according to the global traffic distribution and the levels of interference between neighboring femtocells.

Original languageBritish English
Title of host publication2011 Technical Symposium at ITU Telecom World, ITU WT 11
Pages159-164
Number of pages6
StatePublished - 2011
Event2011 Technical Symposium at ITU Telecom World, ITU WT 11 - Geneva, Switzerland
Duration: 24 Oct 201127 Oct 2011

Publication series

Name2011 Technical Symposium at ITU Telecom World, ITU WT 11

Conference

Conference2011 Technical Symposium at ITU Telecom World, ITU WT 11
Country/TerritorySwitzerland
CityGeneva
Period24/10/1127/10/11

Keywords

  • 4G systems
  • Femtocells
  • Genetic algorithm
  • Optimization
  • Self-organizing networks

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