Radio resource management scheme for HAPS using genetic algorithms

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

1 Citation (Scopus)

Abstract

In this paper, the potential of a real code genetic algorithms (GAs) for radio resource management scheme for use in High Altitude Platform Station (HAPS) networks is proposed. An analytical model of the mobility management task is derived from the cell dimension that is formed by the antenna beams of the HAPS and user's location. As an example of the scheme, a simulation is proposed where the traffic load in each spotbeam/ cell of the HAPS is estimated in Erlangs for each area as a function of time. Simulations are provided to examine the QoS performance of the system. The performance evaluation shows that the proposed model outperforms conventional schemes in terms of call blocking and call dropping probability.

Original languageEnglish
Title of host publication2005 IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing, PACRIM - Proceedings
Pages446-449
Number of pages4
DOIs
Publication statusPublished - 2005
Event2005 IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing, PACRIM - Victoria, BC, Canada
Duration: 24 Aug 200526 Aug 2005

Publication series

NameIEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings
Volume2005

Conference

Conference2005 IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing, PACRIM
Country/TerritoryCanada
CityVictoria, BC
Period24/08/0526/08/05

Keywords

  • Channel allocation
  • Genetic Algorithms
  • HAPS Networks

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