12 papers
Remote State Estimation over a Wearing Channel: Information Freshness vs. Channel Aging
Jiping Luo, George Stamatakis, Osvaldo Simeone +1
We study the remote estimation of a linear Gaussian system over a channel that wears out over time and with every use. The sensor can either transmit a fresh measurement in the cur…
Model Predictive Communication for Timely Status Updates in Low-Altitude Networks
Bowen Li, Jiping Luo, Themistoklis Charalambous +1
Timely information delivery in low-altitude networks is critical for many time-sensitive applications, such as unmanned aerial vehicle (UAV) navigation, inspection, and surveillanc…
Computing the Exact Pareto Front in Average-Cost Multi-Objective Markov Decision Processes
Jiping Luo, Nikolaos Pappas
Many communication and control problems are cast as multi-objective Markov decision processes (MOMDPs). The complete solution to an MOMDP is the Pareto front. Much of the literatur…
On the Role of Age and Semantics of Information in Remote Estimation of Markov Sources
Jiping Luo, Nikolaos Pappas
This paper studies semantics-aware remote estimation of Markov sources. We leverage two complementary information attributes: the urgency of lasting impact, which quantifies the si…
Pareto-Optimal Sampling and Resource Allocation for Timely Communication in Shared-Spectrum Low-Altitude Networks
Bowen Li, Jiping Luo, Themistoklis Charalambous +1
Guaranteeing stringent data freshness for low-altitude unmanned aerial vehicles (UAVs) in shared spectrum forces a critical trade-off between two operational costs: the UAV's own e…
Exploiting Data Significance in Remote Estimation of Discrete-State Markov Sources
Jiping Luo, Nikolaos Pappas
We consider semantics-aware remote estimation of a discrete-state Markov source with both normal (low-priority) and alarm (high-priority) states. Erroneously announcing a normal st…