6 papers
SAOITHE: Sustainable Age-of-Information-Based Timely Status Updating for Hardware-constrained Edge networks
Shih-Kai Chou, Maice Costa, Mihael MohorÄiÄ +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.…
Automated Modeling Method for Pathloss Model Discovery
Ahmad Anaqreh, Shih-Kai Chou, Blaž BertalaniÄ +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…
Towards a Sustainable Age of Information Metric: Carbon Footprint of Real-Time Status Updates
Shih-Kai Chou, Maice Costa, Mihael MohorÄiÄ +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…
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…
SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator
Shih-Kai Chou, Mengran Zhao, Cheng-Nan Hu +3
Accurate Angle-of-arrival (AoA) estimation is essential for next-generation wireless communication systems to enable reliable beamforming, high-precision localization, and integrat…
Multi-agent Reinforcement Learning-based In-place Scaling Engine for Edge-cloud Systems
Jovan Prodanov, Blaž BertalaniÄ, Carolina Fortuna +4
Modern edge-cloud systems face challenges in efficiently scaling resources to handle dynamic and unpredictable workloads. Traditional scaling approaches typically rely on static th…