Study of DVB-T2 Broadcasting in Tropical Environments: Comparative Empirical Propagation and QoS-QoE Spatial Analysis

Solichah Larasati; Muhammad Panji Kusuma Praja; Shinta Romadhona

doi:10.48084/etasr.17824

Authors

Solichah Larasati Telecommunication Engineering Study Program, Telkom University, Purwokerto Campus, Jl. DI Panjaitan No.128, Purwokerto, Central Java, Indonesia
Muhammad Panji Kusuma Praja Telecommunication Engineering Study Program, Telkom University, Purwokerto Campus, Jl. DI Panjaitan No.128, Purwokerto, Central Java, Indonesia
Shinta Romadhona Telecommunication Engineering Study Program, Telkom University, Purwokerto Campus, Jl. DI Panjaitan No.128, Purwokerto, Central Java, Indonesia

Volume: 16 | Issue: 3 | Pages: 37093-37099 | June 2026 | https://doi.org/10.48084/etasr.17824

Received: 29 January 2026 | Revised: 27 March 2026 | Accepted: 6 April 2026 | Online: 6 June 2026

Corresponding author: Solichah Larasati

Abstract

This study analyzes the performance of DVB-T2 broadcasting in tropical urban environments by comparing propagation models and examining the relationships between Quality of Service (QoS) and Quality of Experience (QoE). Field strength data from Okumura-Hatta, Longley-Rice, and ITU-R P.1546 models were assessed across 52 locations in Semarang, Indonesia. Statistical analysis shows that ITU-R P.1546 provides the highest average signal strength, while Okumura-Hatta exhibits the lowest variability, indicating more stable predictions. The results show that the ITU-R P.1546 model produces the highest average field strength (88.32 dBµV/m), while the Okumura-Hatta model demonstrates the lowest variability, indicating more consistent predictions. Geographic Information System (GIS)-based analysis reveals that the spatial distribution of field strength and QoE is positively correlated between field strength and MOS, with 52 respondents. Areas with strong signal levels (>120 dBµV/m) exhibit high Mean Opinion Score (MOS) values (>4.5). GIS-based spatial analysis further confirms that areas with higher signal levels correspond to higher user-perceived quality. These findings highlight the importance of integrating statistical and spatial analysis for DVB-T2 network evaluation and optimization in tropical environments.

Keywords:

DVB-T2, GIS, propagation models, QoS, QoE

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