3 citations · 5 across the 20 of their papers we have counts for
22 papers
The Hidden Perception Constraint in Task-Aware Compression
Sahan Liyanaarachchi, Semih Akkoc, Sennur Ulukus +1
With the recent advancements of neural compressors, explicitly incorporating perception constraints into the design of compression schemes has gained significant attention. Traditi…
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…
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…
Timely Tracking of a Wiener Process With Single Bit Quantization
Ismail Cosandal, Sahan Liyanaarachchi, Sennur Ulukus
We consider the problem of timely tracking of a Wiener process via an energy-conserving sensor by utilizing a single bit quantization strategy under periodic sampling. Contrary to…
Source Coding for a Wiener Process
Sahan Liyanaarachchi, Ismail Cosandal, Sennur Ulukus
We develop a novel source coding strategy for sampling and monitoring of a Wiener process. For the encoding process, we employ a four level ``quantization'' scheme, which employs m…
Optimum Monitoring and Job Assignment with Multiple Markov Machines
Sahan Liyanaarachchi, Sennur Ulukus
We study a class of systems termed Markov Machines (MM) which process job requests with exponential service times. Assuming a Poison job arrival process, these MMs oscillate betwee…
Scheduling Policies in a Multi-Source Status Update System with Dedicated and Shared Servers
Sahan Liyanaarachchi, Sennur Ulukus, Nail Akar
Use of multi-path network topologies has become a prominent technique to assert timeliness in terms of age of information (AoI) and to improve resilience to link disruptions in com…
6G at : The Future of Cislunar Communications
Sahan Liyanaarachchi, Stavros Mitrolaris, Purbesh Mitra +1
What will the future of cislunar communications be? The ever-expanding horizons of the space exploration missions, and the need for establishing sustainable space communication and…
Cyclic Scheduler Design for Minimizing Age of Information in Massive Scale Networks Susceptible to Packet Errors
Sahan Liyanaarachchi, Sennur Ulukus, Nail Akar
In multi-source status update systems, sources need to be scheduled appropriately to maintain timely communication between each of the sources and the monitor. A cyclic schedule is…
CAFe: Cost and Age aware Federated Learning
Sahan Liyanaarachchi, Kanchana Thilakarathna, Sennur Ulukus
In many federated learning (FL) models, a common strategy employed to ensure the progress in the training process, is to wait for at least clients out of the total clients…
Minimizing the Age of Two Heterogeneous Sources With Packet Drops Via Cyclic Schedulers
Sahan Liyanaarachchi, Sennur Ulukus, Nail Akar
In a communication setting where multiple sources share a single channel to provide status updates to a remote monitor, source transmissions need to be scheduled appropriately to m…
Scalable Cyclic Schedulers for Age of Information Optimization in Large-Scale Status Update Systems
Nail Akar, Sahan Liyanaarachchi, Sennur Ulukus
We study cyclic scheduling for generate-at-will (GAW) multi-source status update systems with heterogeneous service times and packet drop probabilities, with the aim of minimizing…
The Role of Early Sampling in Age of Information Minimization in the Presence of ACK Delays
Sahan Liyanaarachchi, Sennur Ulukus
We study the structure of the optimal sampling policy to minimize the average age of information when the channel state (i.e., busy or idle) is not immediately perceived by the tra…
Beamformer Design and Optimization for Full-Duplex Joint Communication and Sensing at mm-Waves
Carlos Baquero Barneto, Taneli Riihonen, Sahan Damith Liyanaarachchi +3
In this article, we study the joint communication and sensing (JCAS) paradigm in the context of millimeter-wave (mm-wave) mobile communication networks. We specifically address the…
Extending Multi-Object Tracking systems to better exploit appearance and 3D information
Kanchana Ranasinghe, Sahan Liyanaarachchi, Harsha Ranasinghe +1
Tracking multiple objects in real time is essential for a variety of real-world applications, with self-driving industry being at the foremost. This work involves exploiting tempor…
Bipartite Conditional Random Fields for Panoptic Segmentation
Sadeep Jayasumana, Kanchana Ranasinghe, Mayuka Jayawardhana +2
We tackle the panoptic segmentation problem with a conditional random field (CRF) model. Panoptic segmentation involves assigning a semantic label and an instance label to each pix…