IEEE

Distributed Multiagent Reinforcement Learning Approach for Multiserver Multiuser Task Offloading

Abstract: The industrial manufacturing industry requires user devices (UDs) to process massive data, leading to latency and energy consumption. To achieve low-latency and low-power task execution, we ...
IEEE

Dynamic Task Offloading and Resource Allocation for Vehicular Edge Computing Networks Based on Deep Reinforcement Learning

Abstract: Vehicular edge computing (VEC) server allocates computing resource blocks (CRBs) with different CPU frequencies to process tasks with different low latency requirements. During task ...