collaborators

9 papers

cs.NI2026

SAOITHE: Sustainable Age-of-Information-Based Timely Status Updating for Hardware-constrained Edge networks

Shih-Kai Chou, Maice Costa, Mihael Mohorčič +1

In future large-scale deployments of 6G and beyond networks, collecting timely information, as measured by the Age of Information (AoI) metric, is becoming increasingly important.…

eess.SP2026

Learned Elevation Models as a Lightweight Alternative to LiDAR for Radio Environment Map Estimation

Ljupcho Milosheski, Fedja Močnik, Mihael Mohorčič +1

Next-generation wireless systems such as 6G operate at higher frequency bands, making signal propagation highly sensitive to environmental factors such as buildings and vege- tatio…

cs.LG2026

Automated Modeling Method for Pathloss Model Discovery

Ahmad Anaqreh, Shih-Kai Chou, Blaž Bertalanič +3

Modeling propagation is the cornerstone for designing and optimizing next-generation wireless systems, with a particular emphasis on 5G and beyond era. Traditional modeling methods…

cs.IT2026

Towards a Sustainable Age of Information Metric: Carbon Footprint of Real-Time Status Updates

Shih-Kai Chou, Maice Costa, Mihael Mohorčič +1

The timeliness of collected information is essential for monitoring and control in data-driven intelligent infrastructures. It is typically quantified using the Age of Information…

cs.LG2025

A Network Science Approach to Granular Time Series Segmentation

Ivana Kesić, Carolina Fortuna, Mihael Mohorčič +1

Time series segmentation (TSS) is one of the time series (TS) analysis techniques, that has received considerably less attention compared to other TS related tasks. In recent years…

cs.ET2025

The Energy Cost of Artificial Intelligence Lifecycle in Communication Networks

Shih-Kai Chou, Jernej Hribar, Vid Hanžel +2

Artificial Intelligence (AI) is being incorporated in several optimization, scheduling, orchestration as well as in native communication network functions. This paradigm shift resu…