Research on Fair Scheduling Algorithm of 5G Intelligent Wireless System Based on Machine Learning

In the multi-user scenario of 5G intelligent wireless system, the users can’t get the fair transmission opportunity because of the different service packet length, transmission delay and channel environment of each user equipment. This paper proposes an two-stage k-means machine learning algorithm, which can select the user equipment intelligently among different user’s equipment to schedule, while guaranteeing the quality of service of each user’s equipment, it can also take into account fairness.