Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Vol 12 No 1 (2025): Jurnal Ecotipe, April 2025

User Capacity Optimization Using The Mobility Load Balancing Algorithm For Downlink Data Long Term Evolution

Miranti, Miranti (Unknown)
Sari, Lydia (Unknown)
Doris, Muhamad (Unknown)
Alam, Syah (Unknown)
Surjati, Indra (Unknown)



Article Info

Publish Date
10 Apr 2025

Abstract

The increasing number of users in a Long Term Evolution (LTE) network often decreases network performance. A cell that has high traffic experiences a decline in network performance due to unavailable resources for certain users, while in cells with low traffic, the use of resources in these cells is inefficient. The mobility load balancing (MLB) algorithm balances the intercellular loads in an LTE network and improves the performance by distributing part of the load in a high traffic cell to neighboring cells that have low loads. An activated MLB will detect the network load and calculate the available resource for each cell to determine which cells are overloaded. The MLB will consider the candidate cell where the load could be distributed. MLB simulation results show that the application of MLB has succeeded in reducing the percentage of unsatisfied users by 9.4% and increasing throughput system to 5.617 Mbps.

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Journal Info

Abbrev

ecotipe

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

This scientific journal is called Jurnal Ecotipe (Electronic, Control, Telcommunication, Information, and Power Engineering) with clusters of science in the field of Electrical Engineering covering the field of Electronics, Control, Telecommunications, Information/Informatics, and Power Electricity. ...