Analysis of Communication Quality and Shadow Region for Building a Mobile Communication-Based UAV Aerial Network 


Vol. 49,  No. 12, pp. 1705-1714, Dec.  2024
10.7840/kics.2024.49.12.1705


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  Abstract

This study conducts a detailed analysis of communication quality and shadow regions for building a UAV aerial network based on mobile communication. RSRP, a key communication quality parameter, was measured at 40m and 80m altitudes centered on a single base station and compared with ATDI HTZ Communications simulation data. Subsequently, simulations were performed at 5m intervals from 5m to 150m altitude in the single base station environment to expand the analysis of altitude-specific RSRP and shadow regions. A similar analysis was conducted in a multi-base station environment to evaluate RSRP and shadow regions when multiple base stations are deployed. This study significantly contributes to the efficient design and optimization of UAV aerial networks and can serve as foundational data for future measurement collection and analysis in urban and suburban communication environments.

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[IEEE Style]

S. Yoon, T. Kim, J. An, "Analysis of Communication Quality and Shadow Region for Building a Mobile Communication-Based UAV Aerial Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 12, pp. 1705-1714, 2024. DOI: 10.7840/kics.2024.49.12.1705.

[ACM Style]

Seok Yoon, Tae-Hong Kim, and Jun-Oh An. 2024. Analysis of Communication Quality and Shadow Region for Building a Mobile Communication-Based UAV Aerial Network. The Journal of Korean Institute of Communications and Information Sciences, 49, 12, (2024), 1705-1714. DOI: 10.7840/kics.2024.49.12.1705.

[KICS Style]

Seok Yoon, Tae-Hong Kim, Jun-Oh An, "Analysis of Communication Quality and Shadow Region for Building a Mobile Communication-Based UAV Aerial Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 12, pp. 1705-1714, 12. 2024. (https://doi.org/10.7840/kics.2024.49.12.1705)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880