Optimizing the power for self organized 3GPP long term evolution
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Date
2013
Authors
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Journal ISSN
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Publisher
University of Management and Technology
Abstract
In 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.
Description
Advisor Advisor: Mr. Muhammad Basit Shahab
Keywords
BS Thesis, Electrical Engineering, Evolution Networks