Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Doris, Muhamad
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
User Capacity Optimization Using The Mobility Load Balancing Algorithm For Downlink Data Long Term Evolution Miranti, Miranti; Sari, Lydia; Doris, Muhamad; Alam, Syah; Surjati, Indra
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 12 No 1 (2025): Jurnal Ecotipe, April 2025
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v12i1.4532

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.
Co-Authors Indra Surjati Lydia Sari Miranti Miranti Syah Alam