7 papers
Radio Environment Mapping with World Models for Active Measurement Control: Should Networks Dream of Optimal Control?
Jernej Hribar, Ljupcho Milosheski, Ryoichi Shinkuma
Radio Environment Maps (REMs) have the potential to serve as an important enabler for intelligent modeling and control in emerging AI-native 6G networks. Despite significant progre…
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.…
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…
An Indoor Radio Mapping Dataset Combining 3D Point Clouds and RSSI
Ljupcho Milosheski, Kuon Akiyama, Blaž BertalaniÄ +2
The growing number of smart devices supporting bandwidth-intensive and latency-sensitive applications, such as real-time video analytics, smart sensing, Extended Reality (XR), etc.…
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…