Reinforcement Learning Based QoS Guarantee Traffic Scheduling Algorithm for Wireless Networks

With the rapid development of wireless network, the amount of heterogeneous services increases, which have significant differences in QoS requirements. However, the traditional service management methods realized by artificial distinction are difficult to satisfy the QoS requirements of services with high bandwidth and burstiness. Therefore, it has great significance to better use the limited network resources and design suitable QoS guarantee mechanisms for wireless network. In this paper, a reinforcement learning based QoS guarantee traffic scheduling algorithm RQTS is proposed to optimize the utilization rate of wireless network. First, the traffic scheduling optimization model is constructed based on Lyapunov theory, which sets the optimal system utilization as the objective and all the restrictions are transformed into queue stability problems. Then, the QoS routing method RQTS is adopted to solve the optimization problem through traffic access control and transmission path control, the effects of different transmission channels, transmission rates and transmission path delays of the system are examined. Simulation results show that, the proposed mechanism can satisfy the QoS requirements and optimize the weighted system utilization.