Learning to Minimize Age of Information over an Unreliable Channel with Energy Harvesting

no code implementations • 30 Jun 2021 • 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 battery.

Reinforcement Learning (RL) Scheduling

A Reinforcement Learning Approach to Age of Information in Multi-User Networks with HARQ

no code implementations • 19 Feb 2021 • 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 long-term average age of information (AoI) at the users.

reinforcement-learning Reinforcement Learning (RL) +1