Analysis Of User Throughput Based Predictive Mobility Load Balancing Using Logarithmic Regression Of Reference Signal Received Quality In Long Term Evolution Radio Access Network

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Achmad Rizal Danisya Rendy Munadi Sofia Naning Hertiana

Abstract

The increment of Long Term Evolution (LTE) radio access network services is affecting the rise of traffic load in it's network, which causing traffic unbalance between cells in LTE Radio Access Network (RAN). Users will be served with ineffective resource block allocation which causing the total throughput gained are not optimal. A method required to move network load from overloaded cells to underloaded cells in order to balances the resource block allocation optimally. Using NS-3.26 simulation User Throughput Based (UTB) predictive Mobility Load Balancing (MLB) method is tested with RandomWalkMobilityModel for each user. This method produce an improvement of 2,29 % in average total throughput of 63,33 % succeeded optimization.

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DANISYA, Achmad Rizal; MUNADI, Rendy; HERTIANA, Sofia Naning. Analysis Of User Throughput Based Predictive Mobility Load Balancing Using Logarithmic Regression Of Reference Signal Received Quality In Long Term Evolution Radio Access Network. JURNAL INFOTEL, [S.l.], v. 10, n. 1, feb. 2018. ISSN 2460-0997. Available at: <http://ejournal.st3telkom.ac.id/index.php/infotel/article/view/350>. Date accessed: 19 feb. 2018. doi: https://doi.org/10.20895/infotel.v10i1.350.
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