An application of GA and EDA for passive in-building distributed antenna systems

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

3 Scopus citations

Abstract

The continuous growth in mobile data traffic has made it increasingly difficult to rely on outdoor base stations to support the traffic generated indoors. A passive in-building distributed antenna system (IB-DAS) provides indoor data coverage by connecting antennas to a base station through coaxial cables and passive components. This paper focuses on the automated design of IB-DAS based on the real-world requirements of a telecom service provider. Particularly, it presents a binary representation based solution to the vertical design of the DAS problem and presents initial results on the performance of 4 binary Evolutionary Algorithms (EAs). The aim is to incorporate better-performing algorithms into a DAS network planning tool, used by our industrial partner.

Original languageBritish English
Title of host publicationGECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
Pages287-288
Number of pages2
ISBN (Electronic)9781450371278
DOIs
StatePublished - 8 Jul 2020
Event2020 Genetic and Evolutionary Computation Conference, GECCO 2020 - Cancun, Mexico
Duration: 8 Jul 202012 Jul 2020

Publication series

NameGECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion

Conference

Conference2020 Genetic and Evolutionary Computation Conference, GECCO 2020
Country/TerritoryMexico
CityCancun
Period8/07/2012/07/20

Keywords

  • Distributed antenna system
  • EDA
  • Evolutionary algorithm
  • GA

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