Optimizing the power for self organized 3GPP long term evolution

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dc.contributor.authorFawad Hafeez
dc.contributor.authorTaha Asrar
dc.date.accessioned2014-02-17T06:54:51Z
dc.date.available2014-02-17T06:54:51Z
dc.date.issued2013
dc.descriptionAdvisor Advisor: Mr. Muhammad Basit Shahaben_US
dc.description.abstractIn this research project, we have proposed efficient techniques to optimize the power in self-organized 3GPP Long Term Evolution Networks. The uplink power is optimized using a smart and enhanced channel reporting scheme. The effectiveness of the proposed technique can be analyzed by observing its behavior for all the type of user whether static or mobile and urgent or non-urgent. Efficiency of the techniques is analyzed using MATLAB simulations. Simulation results have demonstrated in comparison to the already proposed methods, where it is shown that the techniques are very much effective in optimizing the uplink power in LTE without making any compromises on the performance of the network.en_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/1020
dc.language.isoenen_US
dc.publisherUniversity of Management and Technologyen_US
dc.subjectBS Thesisen_US
dc.subjectElectrical Engineeringen_US
dc.subjectEvolution Networksen_US
dc.titleOptimizing the power for self organized 3GPP long term evolutionen_US
dc.typeThesisen_US
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