Use of Genetic Algorithm in the Optimisation of the LTE Deployment

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Jaloun:2011:IJWMN,
  author =       "Mohammed Jaloun and Zouhair Guennoun and 
                 Adnane Elasri",
  title =        "Use of Genetic Algorithm in the Optimisation of the
                 LTE Deployment",
  journal =      "International Journal of Wireless \& Mobile Networks",
  year =         "2011",
  volume =       "3",
  number =       "3",
  pages =        "42--49",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming, LTE, rf
                 optimisation, antenna, genetic algorithm, wireless",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:10.1.1.208.5126",
  URL =          "http://airccse.org/journal/jwmn/0611wmn04.pdf",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.5126",
  DOI =          "doi:10.5121/ijwmn.2011.3304",
  abstract =     "The purpose of this paper is to evaluate LTE
                 deployment and to optimise RF parameters that include
                 subchannel power, antenna down tilt, azimuth and
                 beam-width. An integer optimising based on genetic
                 programming is developed by evaluating the
                 signal-to-interference plus noise ratio. The simulation
                 uses a static model based on an OFDMA module designed
                 for a Long Term Evolution (LTE) network from 3GPP
                 [TR36.942]. The site location and initial antenna
                 parameters are taken from real GSM network already
                 optimised for coverage. Our analysis shows that the LTE
                 network performance could be increased by more than
                 45percent by adjusting both cells power and antenna
                 parameters.",
}

Genetic Programming entries for Mohammed Jaloun Zouhair Guennoun Adnane Elasri

Citations