基于机器学习的5G系统智能公平调度算法研究

摘要

针对5G系统多用户场景中由于每个用户设备的业务数据包长度、传输延时及信道环境不同导致的用户无法公平获得传输机会,本文提出了基于改进k-means机器学习算法,能够在不同条件的用户设备当中智能选择用户设备进行调度,在保证每个用户设备业务服务质量的同时,又能兼顾到公平性.%In the multi-user scenario of 5G system, due to the different service packet length, transmission delay and channel environment of each user equipment, users cannot obtain transmission opportunities fairly. This paper proposes an improved k-means machine learning algorithm based on different conditions. It can intelligently select the user equipment to schedule among different user equipments, which can ensure the service quality of each user equipment, and at the same time, it can give consideration to the fairness.