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| Autori principali: | , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2603.20332 |
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| _version_ | 1866911532717178880 |
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| author | Macaia, Arao Zau Narayan, Niraj Shukla, Rajeev Chandra, Aniruddha Zeleny, Ondrej Zavorka, Radek Blumenstein, Jiri Prokes, Ales Wojtun, Jaroslaw Kelner, Jan M. Ziolkowski, Cezary |
| author_facet | Macaia, Arao Zau Narayan, Niraj Shukla, Rajeev Chandra, Aniruddha Zeleny, Ondrej Zavorka, Radek Blumenstein, Jiri Prokes, Ales Wojtun, Jaroslaw Kelner, Jan M. Ziolkowski, Cezary |
| contents | Multipaths, reflections, diffractions, and material interactions complicate indoor wireless propagation modelling. More than 80% of wireless data is consumed indoors; hence, planning successful deployments and maximizing network performance depends on accurate propagation modelling of indoor environments. This work explains a complete framework for indoor wireless propagation modelling via ray tracing simulation in a step-by-step manner. The ray tracing simulations are conducted with Wireless Insite, a proprietary electromagnetic propagation software, whereas SketchUp is used at the input side for layout construction from the field measurements, and MATLAB is used at the output side for portraying channel model parameters such as power delay profile (PDP). A whole floor of the authors' department is modelled, and different transmitter-receiver locations were tested for possible use cases such as coverage hole prediction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_20332 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Framework for Indoor Wireless Propagation Modeling Through Wireless Insite Macaia, Arao Zau Narayan, Niraj Shukla, Rajeev Chandra, Aniruddha Zeleny, Ondrej Zavorka, Radek Blumenstein, Jiri Prokes, Ales Wojtun, Jaroslaw Kelner, Jan M. Ziolkowski, Cezary Signal Processing 94A40, 94A05, 94A12, 94A17 E.4; H.4.3 Multipaths, reflections, diffractions, and material interactions complicate indoor wireless propagation modelling. More than 80% of wireless data is consumed indoors; hence, planning successful deployments and maximizing network performance depends on accurate propagation modelling of indoor environments. This work explains a complete framework for indoor wireless propagation modelling via ray tracing simulation in a step-by-step manner. The ray tracing simulations are conducted with Wireless Insite, a proprietary electromagnetic propagation software, whereas SketchUp is used at the input side for layout construction from the field measurements, and MATLAB is used at the output side for portraying channel model parameters such as power delay profile (PDP). A whole floor of the authors' department is modelled, and different transmitter-receiver locations were tested for possible use cases such as coverage hole prediction. |
| title | Framework for Indoor Wireless Propagation Modeling Through Wireless Insite |
| topic | Signal Processing 94A40, 94A05, 94A12, 94A17 E.4; H.4.3 |
| url | https://arxiv.org/abs/2603.20332 |