Search Results for author:
Found 6 papers, 0 papers with code
Semantic-aware Sampling and Transmission in Energy Harvesting Systems: A POMDP Approach
Then, for both AoII under the perfect channel setup and distortion, we express the belief as a function of the age of information (AoI).
Optimal Semantic-aware Sampling and Transmission in Energy Harvesting Systems Through the AoII
Then, for the perfect channel setup, we effectively truncate the corresponding belief space and solve the MDP problem using the relative value iteration method.
Query-Age-Optimal Scheduling under Sampling and Transmission Constraints
This letter provides query-age-optimal joint sampling and transmission scheduling policies for a heterogeneous status update system, consisting of a stochastic arrival and a generate-at-will source, with an unreliable channel.
Multi-Source AoI-Constrained Resource Minimization under HARQ: Heterogeneous Sampling Processes
Finally, we consider unknown environment and devise a learning-based transmission policy by relaxing the CMDP problem into an MDP problem using the DPP method and then adopting the deep Q-learning algorithm.
Minimizing the AoI in Resource-Constrained Multi-Source Relaying Systems: Dynamic and Learning-based Scheduling
The CMDP problem is solved by transforming it into an MDP problem using the Lagrangian relaxation method.
Minimizing AoI in Resource-Constrained Multi-Source Relaying Systems with Stochastic Arrivals
We propose an algorithm that obtains a stationary deterministic near-optimal policy, establishing a benchmark for the system.
