Search Results for author: Anders E. Kalør

Found 5 papers, 1 papers with code

Prediction of Rare Channel Conditions using Bayesian Statistics and Extreme Value Theory

1 code implementation1 Jul 2024 Tobias Kallehauge, Anders E. Kalør, Pablo Ramírez-Espinosa, Christophe Biscio, Petar Popovski

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

no code implementations17 Feb 2024 Tobias Kallehauge, Anders E. Kalør, Fengchun Zhang, Petar Popovski

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.

Spatial Interpolation

Predictive Rate Selection for Ultra-Reliable Communication using Statistical Radio Maps

no code implementations30 May 2022 Tobias Kallehauge, Pablo Ramìrez-Espinosa, Anders E. Kalør, Christophe Biscio, Petar Popovski

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.

Gaussian Processes Position

Timely Monitoring of Dynamic Sources with Observations from Multiple Wireless Sensors

no code implementations22 Dec 2020 Anders E. Kalør, Petar Popovski

In this paper, we consider the problem of minimizing the AoI in a system in which a set of sources are observed by multiple sensors in a many-to-many relationship, and the probability that a sensor observes a source depends on the state of the source.

Information Theory Networking and Internet Architecture Information Theory

Trusted Wireless Monitoring based on Distributed Ledgers over NB-IoT Connectivity

no code implementations14 Apr 2020 Lam D. Nguyen, Anders E. Kalør, Israel Leyva-Mayorga, Petar Popovski

The data collected from Internet of Things (IoT) devices on various emissions or pollution, can have a significant economic value for the stakeholders.

Cryptography and Security Distributed, Parallel, and Cluster Computing

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