12 papers
The Rate-Distortion-Deception Tradeoff
Semih Akkoc, Sahan Liyanaarachchi, Sennur Ulukus +1
The problem of finding the optimal compression rate for a given random variable has been traditionally studied under two main constraints: distortion and perception. The distortion…
Preemption Revisited: Multi-Threshold Preemption Policies for AoI Minimization
Sahan Liyanaarachchi, Sennur Ulukus, Nail Akar
The study of optimal preemption policies for status update systems has been a recurring topic in the age of information (AoI) literature, where threshold-based structures have been…
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…
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…
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…