Showing eess.SPShow all
3 papers · 1 filter
eess.SP2024
Prediction of Rare Channel Conditions using Bayesian Statistics and Extreme Value Theory
Tobias Kallehauge, Anders E. Kalør, Pablo Ramírez-Espinosa +2
Estimating the probability of rare channel conditions is a central challenge in ultra-reliable wireless communication, where random events, such as deep fades, can cause sudden var…
eess.SP2024
Experimental Study of Spatial Statistics for Ultra-Reliable Communications
Tobias Kallehauge, Anders E. Kalør, Fengchun Zhang +1
This paper presents an experimental validation for prediction of rare fading events using channel distribution information (CDI) maps that predict channel statistics from measureme…
eess.SP2022
Predictive Rate Selection for Ultra-Reliable Communication using Statistical Radio Maps
Tobias Kallehauge, Pablo Ramìrez-Espinosa, Anders E. Kalør +2
This paper proposes exploiting the spatial correlation of wireless channel statistics beyond the conventional received signal strength maps by constructing statistical radio maps t…