11 citations · 11 across the 10 of their papers we have counts for
6 papers · 1 filter
DRL-Based AoI Minimization for RSMA in Finite-Blocklength MU-MISO
Enes Kaya, Mehmet Alp Demircioğlu, Elif Tugce Ceran +1
This letter investigates age-of-information (AoI) minimization in multi-user wireless networks operating in the finite-blocklength (FBL) regime, which is critical for low-latency t…
Deep Reinforcement Learning Enhanced Rate-Splitting Multiple Access for Interference Mitigation
Osman Nuri Irkicatal, Elif Tugce Ceran, Melda Yuksel
This study explores the application of the rate-splitting multiple access (RSMA) technique, vital for interference mitigation in modern communication systems. It investigates the u…
Optimization of AoII and QAoII in Multi-User Links
Muratcan Ayik, Elif Tugce Ceran, Elif Uysal
We consider a network with multiple sources and a base station that send time-sensitive information to remote clients. The Age of Incorrect Information (AoII) captures the freshnes…
Learning to Minimize Age of Information over an Unreliable Channel with Energy Harvesting
Elif Tugce Ceran, Deniz Gunduz, Andras Gyorgy
The time average expected age of information (AoI) is studied for status updates sent over an error-prone channel from an energy-harvesting transmitter with a finite-capacity batte…
A Reinforcement Learning Approach to Age of Information in Multi-User Networks with HARQ
Elif Tugce Ceran, Deniz Gunduz, Andras Gyorgy
Scheduling the transmission of time-sensitive information from a source node to multiple users over error-prone communication channels is studied with the goal of minimizing the lo…
Average Age of Information with Hybrid ARQ under a Resource Constraint
Elif Tugce Ceran, Deniz Gunduz, Andras Gyorgy
Scheduling of the transmission of status updates over an error-prone communication channel is studied in order to minimize the long-term average age of information (AoI) at the des…