基于QoS驱动的多目标优化用户动态关联研究  

Research on Dynamic Association of Multi-objective Optimization Users Driven by QoS

作　　者：牟洁茹 何华 刘聪 李琳 MU Jieru;HE Hua;LIU Cong;LI Lin(School of Mathematics and Statistics,Shandong University of Technology,Zibo 255000,China;School of Computer Science and Technology,China University of Petroleum,Qingdao 266000,China;School of Computer Science and Technology,Shandong University of Technology,Zibo 255000,China)

机构地区：[1]山东理工大学数学与统计学院,山东淄博255000 [2]中国石油大学(华东)计算机科学与技术学院,山东青岛266000 [3]山东理工大学计算机科学与技术学院,山东淄博255000

出　　处：《郑州大学学报（理学版）》2022年第2期56-60,共5页Journal of Zhengzhou University:Natural Science Edition

基　　金：国家自然科学青年基金项目(61702307,61902222);山东省泰山学者基金项目(tsqn201909109)。

摘　　要：为实现5G通信网络自组织、自优化发展,提出一种混合控制多目标优化用户动态关联算法。在满足用户服务质量和基站成本效益的需求下,同时考虑吞吐量、能耗、基站效用等因素,基于QoS需求实现用户和基站的动态关联,从而解决因用户动态变化带来的网络拥塞、资源浪费、负载增加等问题。并引入随机梯度下降算法优化传输功率,提高网络吞吐量与基站利用率。仿真结果表明,该算法在提高网络吞吐量和基站利用率的基础上能有效缓解基站负载不均衡现象。To realize the self-organization development of 5G cellular network,a user dynamic association algorithm of multi-objective optimization was proposed.Based on the QoS demand,it could achieve the dynamic association between the user and the base station,which considered factors such as throughput,energy consumption and base station utility.Stochastic gradient descent algorithm was introduced to optimize transmission power,and improve throughput and base station utilization.The simulation results showed that the algorithm could effectively alleviate the load imbalance of the base station on the basis of improving base station utilization and reducing energy consumption.

关 键 词：异构网络 动态关联 多目标优化 QOS 

分 类 号：TN929[电子电信—通信与信息系统]