Offloading decision algorithm based on reinforcement learning for mobile edge computing

For the problem of computing offloading decision in mobile edge computing, this paper proposes an offloading decision algorithm based on enhanced learning in multiuser MEC system. According to the task model, calculation model and channel state, ODRL algorithm makes the task unloading decision and uses reinforcement learning method to solve the optimal computing unloading strategy. Simulation results show that the ODRL algorithm proposed in this paper has lower total system cost compared with the baseline strategy.