Experimental Study of Spatial Statistics for Ultra-Reliable Communications
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866910335241289728 |
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| author | Kallehauge, Tobias Kalør, Anders E. Zhang, Fengchun Popovski, Petar |
| author_facet | Kallehauge, Tobias Kalør, Anders E. Zhang, Fengchun Popovski, Petar |
| contents | This paper presents an experimental validation for prediction of rare fading events using channel distribution information (CDI) maps that predict channel statistics from measurements acquired at surrounding locations using spatial interpolation. Using experimental channel measurements from 127 locations, we demonstrate the use case of providing statistical guarantees for rate selection in ultra-reliable low-latency communication (URLLC) using CDI maps. By using only the user location and the estimated map, we are able to meet the desired outage probability with a probability between 93.6-95.6% targeting 95%. On the other hand, a model-based baseline scheme that assumes Rayleigh fading meets the target outage requirement with a probability of 77.2%. The results demonstrate the practical relevance of CDI maps for resource allocation in URLLC. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_11356 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Experimental Study of Spatial Statistics for Ultra-Reliable Communications Kallehauge, Tobias Kalør, Anders E. Zhang, Fengchun Popovski, Petar Signal Processing This paper presents an experimental validation for prediction of rare fading events using channel distribution information (CDI) maps that predict channel statistics from measurements acquired at surrounding locations using spatial interpolation. Using experimental channel measurements from 127 locations, we demonstrate the use case of providing statistical guarantees for rate selection in ultra-reliable low-latency communication (URLLC) using CDI maps. By using only the user location and the estimated map, we are able to meet the desired outage probability with a probability between 93.6-95.6% targeting 95%. On the other hand, a model-based baseline scheme that assumes Rayleigh fading meets the target outage requirement with a probability of 77.2%. The results demonstrate the practical relevance of CDI maps for resource allocation in URLLC. |
| title | Experimental Study of Spatial Statistics for Ultra-Reliable Communications |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2402.11356 |