Abstract
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.
| Original language | English |
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| Title of host publication | ICC 2024 - IEEE International Conference on Communications |
| Editors | Matthew Valenti, David Reed, Melissa Torres |
| Number of pages | 6 |
| Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
| Publication date | 2024 |
| Pages | 629-634 |
| ISBN (Print) | 978-1-7281-9055-6 |
| ISBN (Electronic) | 978-1-7281-9054-9 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 59th Annual IEEE International Conference on Communications, ICC 2024 - Denver, United States Duration: 9 Jun 2024 → 13 Jun 2024 |
Conference
| Conference | 59th Annual IEEE International Conference on Communications, ICC 2024 |
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| Country/Territory | United States |
| City | Denver |
| Period | 09/06/2024 → 13/06/2024 |
| Sponsor | IEEE Communications Society |
| Series | I E E E International Conference on Communications |
|---|---|
| ISSN | 1550-3607 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Channel Sounding Measurements
- Radio Mapping
- Statistical Learning
- Ultra-Reliable Low-Latency Communication (URLLC)