Simulasi Jaringan 5G Broadcast Low Power Low Tower (LPLT) Menggunakan Metode K-Means Clustering Studi Kasus Provinsi Bali

  • Sadewa Putra Nussan Universitas Indonesia
  • Fitri Yuli Zulkifli Universitas Indonesia

Abstract

This study aims to design a 5G Broadcast network with LPLT transmitters in a specified Digital TV Service Area in Indonesia. Bali Province was selected for research due to its geographical advantages, including distinct Service Area limits that do not overlap with other provinces. Design and simulation of LTE-based 5G broadcasting in Bali Province utilizing the LPLT network strategy with existing cellular operators' BTS towers. The simulation outcomes of the two design scenarios were evaluated for population coverage. In Scenario 1, the placement of 5G Broadcast transmitters is determined with an Inter-Site Distance exceeding 3 km, resulting in the selection of 292 transmitters. Scenario-2 adopts the K-Means Clustering technique, selecting one transmitter with the highest antenna location criteria from each cluster of 5G Broadcast transmitters. Simulations were performed with CHIRplus_BC software, based on the latest ITU-R recommendations, reports, and publications regarding LTE-Based 5G Broadcast network planning, and included parameters and transmitter specifications from 3GPP Release-17. The simulation results by using CHIRplus_BC indicate that Scenario-2 (K-Means Clustering) demonstrates superior population coverage across all Reception Modes and Location Probabilities when opposed to the simulation results of Scenario-1 (ISD > 3km), using an identical number of transmitters, specifically 292 LPLT transmitters.

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Published
2024-11-24
How to Cite
NUSSAN, Sadewa Putra; ZULKIFLI, Fitri Yuli. Simulasi Jaringan 5G Broadcast Low Power Low Tower (LPLT) Menggunakan Metode K-Means Clustering Studi Kasus Provinsi Bali. Majalah Ilmiah Teknologi Elektro, [S.l.], v. 23, n. 2, p. 233-240, nov. 2024. ISSN 2503-2372. Available at: <https://ojs.unud.ac.id/index.php/mite/article/view/118723>. Date accessed: 08 feb. 2025.