Use of Genetic Algorithm in the Optimisation of the LTE Deployment
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Jaloun:2011:IJWMN,
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author = "Mohammed Jaloun and Zouhair Guennoun and
Adnane Elasri",
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title = "Use of Genetic Algorithm in the Optimisation of the
{LTE} Deployment",
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journal = "International Journal of Wireless \& Mobile Networks",
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year = "2011",
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volume = "3",
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number = "3",
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pages = "42--49",
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month = jun,
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keywords = "genetic algorithms, genetic programming, LTE, rf
optimisation, antenna, genetic algorithm, wireless",
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bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
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language = "en",
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oai = "oai:CiteSeerX.psu:10.1.1.208.5126",
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URL = "http://airccse.org/journal/jwmn/0611wmn04.pdf",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.5126",
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DOI = "doi:10.5121/ijwmn.2011.3304",
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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