Outdoor-to-Indoor (O2I) Propagation Loss Model Based on the New Parameter: Compound Power (CP)

In this work, we propose a novel outdoor-to-Indoor (O2I) propagation loss model centered on the novel compound power (CP) parameter, which encapsulates the combined effects of diffraction, reflection, and penetration, specifically in non-line-of-sight (NLoS) environments. The model is rigorously developed through analytical derivations and experimentally validated using a unique measurement setup, proving that the inclusion of clutter, such as nearby large structures, has a substantial impact on building entry loss (BEL). By accurately accounting for both the building and its surrounding environment, the model significantly improves indoor power predictions, offering a comprehensive approach to O2I propagation in real-world, cluttered environments.

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Publication Details

Published
2025-03-30
DOI
https://doi.org/10.23919/eucap63536.2025.10999517
Citations
1
Primary Topic
Telecommunications and Broadcasting Technologies
Type
article
Field-Weighted Citation Impact
1.14
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article

Outdoor-to-Indoor (O2I) Propagation Loss Model Based on the New Parameter: Compound Power (CP)

Khairunnisa Aziding, Young Chul Lee
1 citations
Telecommunications and Broadcasting Technologies
1.14
article

Outdoor-to-Indoor (O2I) Propagation Loss Model Based on the New Parameter: Compound Power (CP)

Khairunnisa Aziding, Young Chul Lee
article en
1 citations

Abstract

In this work, we propose a novel outdoor-to-Indoor (O2I) propagation loss model centered on the novel compound power (CP) parameter, which encapsulates the combined effects of diffraction, reflection, and penetration, specifically in non-line-of-sight (NLoS) environments. The model is rigorously developed through analytical derivations and experimentally validated using a unique measurement setup, proving that the inclusion of clutter, such as nearby large structures, has a substantial impact on building entry loss (BEL). By accurately accounting for both the building and its surrounding environment, the model significantly improves indoor power predictions, offering a comprehensive approach to O2I propagation in real-world, cluttered environments.

Mokpo National Maritime University (KR), International Islamic University Malaysia (MY)
Openalex Percentile: Top 20%
Telecommunications and Broadcasting Technologies
1.14
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