13 papers
Beyond Martingale Estimators: Structured Estimators for Maximizing Information Freshness in Query-Based Update Systems
Sahan Liyanaarachchi, Sennur Ulukus, Nail Akar
This paper investigates information freshness in a remote estimation system in which the remote information source is a continuous-time Markov chain (CTMC). For such systems, estim…
Multi-Stage Structured Estimators for Information Freshness
Sahan Liyanaarachchi, Sennur Ulukus, Nail Akar
Most of the contemporary literature on information freshness solely focuses on the analysis of freshness for martingale estimators, which simply use the most recently received upda…
Utilizing the Perceived Age to Maximize Freshness in Query-Based Update Systems
Sahan Liyanaarachchi, Sennur Ulukus, Nail Akar
Query-based sampling has become an increasingly popular technique for monitoring Markov sources in pull-based update systems. However, most of the contemporary literature on this a…
Next-Generation Backscatter Networks for Integrated Communications and RF Sensing
Traian E. Abrudan, Kartik Patel, John Kimionis +4
This paper provides a comprehensive analysis and theoretical foundation for next-generation backscatter networks that move beyond communication and integrate RF location sensing ca…
Age of Estimates: When to Submit Jobs to a Markov Machine to Maximize Revenue
Sahan Liyanaarachchi, Sennur Ulukus
With the dawn of AI factories ushering a new era of computing supremacy, development of strategies to effectively track and utilize the available computing resources is garnering u…
Structured Estimators: A New Perspective on Information Freshness
Sahan Liyanaarachchi, Sennur Ulukus, Nail Akar
In recent literature, when modeling for information freshness in remote estimation settings, estimators have been mainly restricted to the class of martingale estimators, meaning t…