Network planning optimization of long term evolution radio transmitter using taguchi’s method

Rahmatia, Suci and Tanjung, Ali Akbar and Samijayani, Octarina Nur and Tanjung, Widya Nurcahayanty (2018) Network planning optimization of long term evolution radio transmitter using taguchi’s method. In: 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE). Institute of Electrical and Electronics Engineers, Shah Alam, pp. 1-6. ISBN 978-1-5386-4838-4

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Official URL: https://ieeexplore.ieee.org/document/8538386

Abstract

Long Term Evolution (LTE) is newest technology for mobile telecommunication, it has some advantages that are high data rates, low Iatency and using all Internet Protocols (IP) network architecture. The implementation of LTE requires high cost and takes a long time therefore we need network planning to reduce the risks, some calculations, simulations and optimization is done in network planning. We use software named Atoll as tool for network planning and use Taguchi's Method (TM) as optimization technique. The objective of this paper is to obtain the optimal parameters value of azimuth, mechanical downtilt, antenna gain and antenna height. The result is the responses that determine the most influential factors due to result depending on their delta value. From this paper, the most influential factor based on SN ratio is antenna height which have delta value 9.47. Then we implement the optimized LTE radio transmitter parameters into LTE network design. The result gave more 12.2% coverage area by signal level, increase average signal received power by 0.69 dBm and increase the coverage area by throughput downlink by 1.5%.

Item Type: Book Section
Additional Information: Presented in The 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) on 11-12 July 2018 in Shah Alam, Malaysia.
Uncontrolled Keywords: Optimization; Planning; Long Term Evolution; Radio transmitters; Propagation losses; Mathematical model; Azimuth
Subjects: 600 Applied sciences & technology > 620 Engineering
600 Applied sciences & technology > 620 Engineering > 621 Applied Physics
Divisions: Universitas Al-Azhar Indonesia (UAI) > Fakultas Sains dan Teknologi (FST) > Teknik Elektro
Depositing User: Rifda Jilan
Date Deposited: 04 Nov 2021 08:26
Last Modified: 14 Apr 2023 06:48
URI: http://eprints.uai.ac.id/id/eprint/1735

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