Reinforcement Learning for Joint Caching and Power Control for IIoT Networks

Minimizing the Age of Information (AoI) violation probability is essential for reliable and timely data delivery in MEC-enabled IIoT networks. This study proposes the Joint Caching and Power Control (JCPC) scheme, leveraging Deep Deterministic Policy Gradient (DDPG) to optimize caching decisions and power allocation under system-level AoI and power constraints. Simulations validate that JCPC outperforms baseline strategies, significantly reducing AoI violation probability and improving the efficiency of MEC-enabled IIoT networks.

Reinforcement Learning for Joint Caching and Power Control for IIoT Networks

Ritabrata Maiti, Nanyang Technological University (NTU); A.S. Madhukumar, Nanyang Technological University; Ernest Tan, Singapore Institute of Technology