5G异构网络组播调度策略优化  

Optimization of multicast scheduling strategies in 5G heterogeneous networks

作　　者：胡燕 何健 廖晓娟 HU Yan;HE Jian;LIAO Xiao-juan(School of Electrical Engineering and Automation,Jiangxi University of Science and Technology,Ganzhou 341000,China;School of Automation,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]江西理工大学电气工程与自动化学院,江西赣州341000 [2]重庆邮电大学自动化学院,重庆400065

出　　处：《计算机工程与设计》2023年第3期648-655,共8页Computer Engineering and Design

基　　金：江西省重点攻关基金项目(2019GKTSCX132)。

摘　　要：为发挥组播调度技术在5G通信中的海量数据传输优势并增强网络传输效率,提出一种5G异构网络组播调度优化策略。提出一种与延迟要求相关的待处理请求队列模型,建立组播调度协同优化的数学问题;利用李雅普诺夫随机优化方法,优化系统的长期平均性能,提出一种在线集中式算法进行最优策略求解;设计一种低复杂度的分布式随机算法,通过数值仿真对比实验进行验证。实验结果表明,与最长队列优先、结构化优化算法相比,所提方法的待处理请求队列长度更短,平均时间延迟更低,系统总能量消耗更少。To utilize the massive data transmission advantages of multicast scheduling technology in 5G communications and enhance network transmission efficiency,a 5G heterogeneous network multicast scheduling optimization strategy was proposed.A queue model of pending requests related to delay requirements was proposed,and the mathematical problem of collaborative optimization of multicast scheduling was established.The Lyapunov stochastic optimization method was used to optimize the long-term average performance of the system,and an online centralized algorithm was proposed to solve the optimal strategy.A low-complexity distributed stochastic algorithm was designed and verified by numerical simulation and comparative experiment.Experimental results show that,compared with the longest queue priority and structured optimization algorithm,the proposed method has a shorter queue length of pending requests,lower average time delay,and lower total energy consumption of the system.

关 键 词：组播调度 异构网络 协同优化 5G通信 李雅普诺夫 集中式 分布式 

分 类 号：TN929.5[电子电信—通信与信息系统]