Use of Genetic Algorithm in the Optimisation of the LTE Deployment

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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