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cs.IT2022
Delivering Ultra-Reliable Low-Latency Communications via Statistical Radio Maps
Tobias Kallehauge, Anders E. Kalør, Pablo Ramírez-Espinosa +2
High reliability guarantees for Ultra-Reliable Low-Latency Communications (URLLC) require accurate knowledge of channel statistics, used as an input for rate selection. Exploiting…
stat.ME2022
Bayesian Inference for Non-Parametric Extreme Value Theory
Tobias Kallehauge
Statistical inference for extreme values of random events is difficult in practice due to low sample sizes and inaccurate models for the studied rare events. If prior knowledge for…
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…