Penerapan Unmanned Aerial Vehicle (UAV) untuk Pengukuran Kuat Sinyal (Drive Test) pada Jaringan 4G LTE

AVITEC

View Publication Info
 
 
Field Value
 
Title Penerapan Unmanned Aerial Vehicle (UAV) untuk Pengukuran Kuat Sinyal (Drive Test) pada Jaringan 4G LTE
 
Creator Nuari, Faisal Ahmad Ilham
Usman, Uke Kurniawan
Hanuranto, AT
 
Subject Telecommunication
Drive Test, Unmanned Aerial Vehicle, RSRP, RSRQ, SINR, Delay Throughput, Website, Database
 
Description The work to get data directly from the field for optimizing a network is called drive test. The implementation of drive test by directly down to the field has several obstacles, such as the condition of the terrain is insufficient and risky to be passed by car. Barriers such as traffic congestion, risky environmental conditions and narrow road areas between buildings makes the implementation of drive test by using unmanned aerial vehicle (UAV) or known by drone. In this research, drive test is carried out on 4G LTE Network and uses an Android smartphone that has the G-NetTrack application installed. The Data parameters of the drive Test and QoS are searched. there are Reference Signal Receive Power (RSRP), Reference Signal Receiving Quality (RSRQ), Signal to Noise Ratio (SNR), delay and throughput. This research compares two methods, which are drive test with normal condition and drive test by using a UAV. The result of the drive test with normal condition is obtained an average value of RSRP -90.32 dBm, RSRQ -9.58 dB and SNR 3.99 dB. Whereas in the drive test by using UAV is obtained an average value RSRP -90.8 dBm, RSRQ 9.32 dB and SNR 4.77 dB. The results of this research showed that all parameters in comparison of both methods has meet the standard of Key Performance Indicator (KPI) with small value difference because drive test by using UAV is equals with normal drive test that is to know the real condition of obstacle in field.
 
Publisher Sekolah Tinggi Teknologi Adisutjipto
 
Contributor Telkom University
 
Date 2021-02-25
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://ejournals.itda.ac.id/index.php/avitec/article/view/893
10.28989/avitec.v3i1.893
 
Source AVITEC; Vol 3, No 1 (2021): Februari 2021; 69-82
2715-2626
2685-2381
10.28989/avitec.v3i1
 
Language eng
 
Relation https://ejournals.itda.ac.id/index.php/avitec/article/view/893/pdf
https://ejournals.itda.ac.id/index.php/avitec/article/downloadSuppFile/893/140
 
Rights Copyright (c) 2021 AVITEC
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library