6 papers
A Spatio-Temporal Model for Information Freshness in Massive Random Access
Andrea Munari, Alessandro Buratto, Federico Chiariotti +2
Massive connectivity, a key building block of 5G, is expected to play an important role in the next generation of wireless systems, and its expected requirements are being revoluti…
Push-Pull Medium Access for Digital Twin Alignment and Low-Latency Anomaly Reporting
Federico Chiariotti, Fabio Saggese, Andrea Munari +2
A digital twin (DT) contains a set of virtual models of real systems and processes that are synchronized with their physical counterparts. In a setup in which contact with the phys…
Two-Step Interference Cancellation for Energy Saving in Irregular Repetition Slotted ALOHA
EstefanÃa Recayte, Leonardo Badia, Andrea Munari
We evaluate a modification of irregular repetition slotted ALOHA (IRSA) involving intermediate decoding and early transmission termination by some nodes, upon their decoding succes…
Spatio-Temporal Information Freshness for Remote Source Monitoring in IoT Systems
Andrea Munari, Federico Chiariotti, Leonardo Badia +1
The widespread adoption of age of information (AoI) as a meaningful and analytically tractable information freshness metric has led to a wide body of work on the timing performance…
Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning
Mianchu Wang, Yue Jin, Giovanni Montana
Offline reinforcement learning (RL) seeks to learn optimal policies from static datasets without interacting with the environment. A common challenge is handling multi-modal action…
Peak Age of Incorrect Information of Reactive ALOHA Reporting Under Imperfect Feedback
Federico Chiariotti, Andrea Munari, Leonardo Badia +1
Age of Incorrect Information (AoII) is particularly relevant in systems where real time responses to anomalies are required, such as natural disaster alerts, cybersecurity warnings…