5G通信组播传输分组策略与资源分配算法研究  

RESEARCH ON GROUPING STRATEGY AND RESOURCE ALLOCATION ALGORITHM FOR MULTICAST TRANSMISSION IN 5G COMMUNICATION

作　　者：张文倩 倪菊[2] 刘小兰 毛淑霞 肖海林[1] Zhang Wenqian;Ni Ju;Liu Xiaolan;Mao Shuxia;Xiao Hailin(School of Information and Communication,Guilin University of Electronic Technology,Guilin 541004,Guangxi,China;Library,Guilin University of Electronic Technology,Guilin 541004,Guangxi,China)

机构地区：[1]桂林电子科技大学信息与通信学院,广西桂林541004 [2]桂林电子科技大学图书馆,广西桂林541004

出　　处：《计算机应用与软件》2021年第12期128-134,共7页Computer Applications and Software

基　　金：国家自然科学基金项目(61872406,61472094);广西研究生科研创新项目(YCSW2018137)。

摘　　要：针对传统组播在5G通信系统中吞吐量低的问题,提出一种组播分组策略与资源分配的联合优化算法。该方法根据用户的信噪比(Signal to Noise Ratio,SNR)采用最大最小距离K-means聚类,将组播用户划分为多个子组,最大化组播子组内最小的SNR。同时在该分组策略下,采用改进的人工鱼群算法进行子载波分配,通过将子载波分配变量映射为人工鱼的位置,把组播系统吞吐量转化为人工鱼在某一位置的食物浓度进行迭代寻优。数值仿真结果表明,该方法的系统吞吐量相比于遗传算法和传统组播分别提高了5.3%和16%。To solve the problem of low throughput of traditional multicast in 5G communication system,a joint optimization algorithm for multicast grouping strategy and resource allocation is proposed.The method used the maximum and minimum distance K-means clustering according to the SNR of the user,and divided the multicast user into multiple subgroups to maximize the minimum SNR within a multicast subgroup.Meanwhile,the modified artificial fish swarm algorithm was utilized to allocate subcarrier under the above grouping strategy,where each subcarrier variable was mapped into the location of artificial fish and the multicast system throughput was converted into the food density of artificial fish in a certain position for iterative optimization.Numerical simulation results show that the system throughput of this algorithm is increased by 5.3%and 16%than that of the genetic algorithm and the traditional multicast algorithm,respectively.

关 键 词：5G通信系统 组播传输 分组 人工鱼群算法 子载波分配 

分 类 号：TP393.04[自动化与计算机技术—计算机应用技术]