1 code implementation • 1 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.
no code implementations • 17 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.
no code implementations • 30 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.
no code implementations • 22 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
no code implementations • 14 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