Effect of Modulation on Throughput of 4G LTE Network Frequency 1800 MHz

Dikky Chandra, Fauzi Aditia Rahmat, Siska Aulia, Firdaus -, Andre Febrian Kasmar


In the development of 4G LTE technology, network speed (Throughput) in several regions has increased or decreased. Network speed (Throughput) certainly cannot be separated from Modulation.  In modulation there are several kinds of modulation schemes, be it QPSK modulation, 16 QAM modulation, and 64 QAM modulation. The modulation scheme is instrumental in increasing throughput. Based on several previous studies, they only check the Throughput parameters without doing a more in-depth analysis of the modulation scheme which also plays a very important role in network speed (Throughput). For this reason, it is necessary to carry out an analysis related to the effect of modulation on the throughput value. To find out the effect of modulation on throughput, it is necessary to take data in the field, the method used is the Drive Test method. Based on the results of the Drive Test, QPSK modulation has a Throughput value of 5.247.4 Kbps, modulation of 16 QAM has a Throughput value of 27.293.9 Kbps and modulation of 64 QAM has a Throughput value of 65.275.1 Kbps. Based on the data in the field and in terms of calculations, the modulation that most affects the throughput value is the modulation of 64 QAM. Modulating 64 QAM having 64 symbols where each symbol consists of 6 bits will make the data rate at throughput higher. This also applies to the use of modulation of 16 QAM (16 symbols with 4 bits) and QPSK (4 symbols with 2 bits).


Network; 4G LTE technology; drive test; throughput parameters; modulation scheme

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Dahlman, arkvall, Skold.. “4G, LTE-Advanced Pro and The Road to 5G “Third Edition, Elsivier, 2016

Jar.M., , and Fettweis.G, Throughput Maximization for LTE Uplink via Resource Allocation, 2012, International Symposium on Wireless Communication Systems (ISWCS)

X. Zhang, “LTE Optimization engineering handbook “, first edition, IEEE Pres, Willey, 2018

Republik Indonesia “Peraturan menteri Komunikasi dan Informatika Republik Indonesia no 27 Tahun 2015 Tentang Persyaratan Teknis Alat Dan/Atau Perangkat-Perangkat Telekomunikasi Berbasis Standar Teknologi Long Term Evolution “Kementrian Komunikasi dan Informatika, Jakarta, P.5, 2015

Chandra, D., Yusnita, Bahari, “The Analysis of Service Integrity on Video Streaming Services Using Time Division Duplex and Frequency Division Duplex Technology on LTE Networksâ€, International Journal of Advanced Science Computing and Engineering ISSN 2714-7533 Vol. 3, No. 2, August 2021

Chandra, D., Bahari, “LTE Network Area Coverage on FDD and TDD Technologyâ€, International Journal of Advanced Science Computing and Engineering ISSN 2714-7533 Vol. 2, No. 1, April 2020, pp. 21-33

Adityo , Usman, Cahyono, “Analisis Penerapan Flexible Bandwidth Untuk Meningkatkan Performansi Jaringan Lteâ€, Seminar Nasional Inovasi Dan Aplikasi Teknologi Di Industri 2018

Mubarok, Putri, Analisis, “Dampak Inter-Band Carrier Aggregation pada Perencanaan Jaringan LTE-Advancedâ€, 2019 ELKOMIKA

Hwang, Park, “On the Effects of Resource Usage Ratio on Data Rate in LTE Systemsâ€, ICACT 2017 February 19 ~ 22, 201

Hadi.A.A., Clancy.C., "A utility proportional fairness approach for resource allocation in 4G-LTE," in IEEE International Conference on Computing, Networking and Communications: Computing, Networking and Communications Symposium (ICNC'14 - CNC), 2014

Ghorbanzadeh .M., Abdelhadi.A., Clancy .C., A Utility Proportional Fairness Radio Resourc Block Allocation in Cellular Networks, Hume Center for National Security and Technology Virginia Tech, Arlington, VA, 22203, USA

Al Dulaimi, A.M., Al-Azzawi.E.M., Al-Anssari.A.I., Balancing model of resource blocks allocation in LTE downlink, 2016, International Conference on Electronics and Information Technology (EIT)

Kachroo.A., Ozdemir.M.K., Mogulkoc .H.t., Optimization of LTE radio resource block allocation for maritime channels, 2016 IEEE 37th Sarnoff Symposium

Jar.M., , and Fettweis.G, Throughput Maximization for LTE Uplink via Resource Allocation, 2012, International Symposium on Wireless Communication Systems (ISWCS)

Yu.I. and Yin.C., Block-Level Resource Allocation with Limited Feedback in Multicell Cellular Networks, Journal of Communications and Networks, Vol. 18, No. 3, June 2016

Cox.. “An Introduction To LTE, LTE-Advanced, Sae, Volte And 4G Mobile Communication†Second Edition, Wiley, 2014

Arthur, Forgor, Effah, Analysing the Effect of MIMO Configuration on The Throughput of LTE Network in Multipath Environtments, 2019, International Conference on Communications, Signal Processing and Networks (ICCSPN)

Vijeth J. Kotagi, Rahul Thakur, Sudeepta Mishra, and Chebiyyam Siva Ram MurthyAssigning Downlink Transmit Power and Resource Blocks to LTE Enabled IoT Networks, IEEE Communications Letters (Volume: 20, Issue: 8, August 2016)

Haider.F., Hepsaydir.E., Binucci.N., Performance analysis of LTE-advanced networks in different spectrum bands, 2011, Wireless Advanced

Liu,.J., Shen.G.,, Performance of Multi-Carrier LBT Mechanism for LTE-LA, 2016, IEEE 83rd Vehicular Technology Conference (VTC Spring)

DOI: https://doi.org/10.30630/ijasce.5.1.121


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Organized / Collaboration

- Soft Computing and Data Mining Centre, UTHM, Malaysia and Department of Information Technology

- Society of Visual Informatics, Indonesia