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Found 3 papers, 1 papers with code
Prediction of Rare Channel Conditions using Bayesian Statistics and Extreme Value Theory
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 variations in the channel quality.
Experimental Study of Spatial Statistics for Ultra-Reliable Communications
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.
Predictive Rate Selection for Ultra-Reliable Communication using Statistical Radio Maps
This paper proposes exploiting the spatial correlation of wireless channel statistics beyond the conventional received signal strength maps by constructing statistical radio maps to predict any relevant channel statistics to assist communications.
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